2024-03-29T15:58:51Z
https://zenodo.org/oai2d
oai:zenodo.org:3239211
2020-01-20T15:33:59Z
user-earthsystems
Soille, Pierre
Burger, Armin
De Marchi, Davide
Hasenohr, Paul
Kempeneers, Pieter
Rodriguez, Dario
Syrris, Vasileios
Vasilev, Veselin
2017-11-28
<p>The JRC Earth Observation Data and Processing Platform (JEODPP) is a versatile petabyte-scale platform that serves the needs of a wide variety of projects. This is achieved by providing a cluster environment for batch processing, a web-based remote desktop access with a variety of software suites, and a web-based interactive visualisation and analysis ecosystem. These three layers are complementary and are all relying on a common hardware layer where the data is co-located with the processing services. The versatility of the platform is illustrated by a series of applications running on the JEODPP.</p>
https://doi.org/10.5281/zenodo.3239211
oai:zenodo.org:3239211
eng
Publications Office of the European Union
https://doi.org/10.2760/383579
https://doi.org/10.1016/j.future.2017.11.007
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.3239210
info:eu-repo/semantics/openAccess
Creative Commons Attribution Non Commercial No Derivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
BiDs, Big Data from Space, Toulouse, 28-30 November 2017
big data, Earth Observation, geospatial data, Jupyter, CERN EOS, HTCondor, Docker
The JRC Earth Observation Data and Processing Platform
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:2187090
2020-01-20T15:38:00Z
user-earthsystems
Lemenkova Polina
2014-11-26
<p>This paper focuses on monitoring of landscapes downgrading in specific conditions of Arctic ecosystems with cold climate conditions (marshes, permafrost, high humidity and moisture). The paper has a special focus on spatiotemporal assessment of land cover types changes in using GIS answering question “what exactly happens with land cover types over time ?” and “how the landscapes located in specific cold moisture conditions are affected by the landslides”. A specific case study of the current work is cryogenic landslides which are typical for cold environments with permafrost distribution. The research region is located in Yamal Peninsula, north Russia. This work analyses environmental consequences caused by the cryogenic landslides in northern landscapes and overall climate changes affecting sensitive Arctic ecosystems. The thaw of permafrost layer leads to the destruction of the ground soil layer and activates cryogenic landslide processes. After disaster, vegetation coverage needs a long time to recover, due to the sensitivity of the specific northern environment. As a result, land cover types change significantly within the landscapes of the regions affected by the disaster. The application of GIS software was used to analyze and process two satellite images (Landsat TM) taken at different time (1988 and 2011) in order to assess spatiotemporal changes in the land cover types of the Arctic landscapes. This work demonstrates how GIS spatial analysis can be applied to studies of the environmental disasters, as well as monitoring and mapping changes in the landscapes patterns caused by the external factors such as landslide hazards.</p>
P. Lemenkova. "Risks of Cryogenic Landslide Hazards and Their Impact on Ecosystems in Cold Environments". In: The Effects of Irrigation and Drainage on Rural and Urban Landscapes. Book of Abstracts of the 1st International Symposium. IRLA2014 (Technological Educational Institution (TEIEP) of Epirus, Nov. 26–28, 2014). Patras, Greece: IRLA, 2014, p. 27.
https://doi.org/10.6084/m9.figshare.7211846
oai:zenodo.org:2187090
Zenodo
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
IRLA2014, 1st International Symposium 'The Effects of Irrigation and Drainage on Rural and Urban Landscapes', Patras, Greece
landslide hazards
land cover types
cryogenic landslides
Risks of Cryogenic Landslide Hazards and Their Impact on Ecosystems in Cold Environments
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:2181799
2020-01-20T15:43:20Z
user-earthsystems
Lemenkova Polina
2016-04-28
<p>This research is focused on the effective management of spatial data: organizing geographical and environmental data of the Finnish ecosystems in a structured and systematical way for further environmental assessment. The research has been carried out on the Biogeochemistry Re- search Unit, Faculty of Natural and Environmental Sciences, Department of the Environmental Sci- ences, University of Kuopio (Eastern Finland).</p>
isbn: 978-5-7765-1242-1. url: https://elibrary.ru/item. asp?id=28430575. Ed. by I. P. Stepanova and G. E. Nikiforova. KnAGTU Press, 2016, pp. 29–31.
https://doi.org/10.6084/m9.figshare.7210226
oai:zenodo.org:2181799
eng
Zenodo
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Dalnevostochnaja vesna - 2016. Proceedings of the 14th International Conference 'Problems of Ecology and Safety' (KnAGTU), Russia, Komsomolsk-na-Amure, 28 April 2016
environmental assessment
spatial analysis
GIS
Geodata Management for the Environmental Assessment: a Case Study of Central Finland
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:163767
2020-01-21T07:23:11Z
user-scientific-python
openaire_data
user-earthsystems
Giovanni De Gasperis
Christian Del Pinto
2016-10-29
<p>Abstract:</p>
<p><em>After the earthquake occurred in Molise (Central Italy) on 31st October 2002 (Ml 5.4, 29 people dead), the local Servizio Regionale per la Protezione Civile to ensure a better analysis of local seismic data, through a convention with the Istituto Nazionale di Geofisica e Vulcanologia (INGV), promoted the design of the Regional Seismic Network (RMSM) and funded its implementation. The 5 stations of RMSM worked since 2007 to 2013 collecting a large amount of seismic data and giving an important contribution to the study of seismic sources present in the region and the surrounding territory. This work reports about the dataset containing all triggers collected by RMSM since July 2007 to March 2009, including actual seismic events; among them, all earthquakes events recorded in coincidence to Rete Sismica Nazionale Centralizzata (RSNC) of INGV have been marked with S and P arrival timestamps. Every trigger has been associated to a spectrogram defined into a recorded time vs. frequency domain.<br>
The dataset has been fully indexed in respect of the recorded spectra: list of all records, list of earthquakes, list of multiple earthquakes records.<br>
The main aim of this structured dataset is to be used for further analysis with data mining and machine learning techniques on image patterns associated to the waveforms.</em></p>
See ReadMe.txt for details
https://doi.org/10.5281/zenodo.163767
oai:zenodo.org:163767
Zenodo
https://doi.org/10.5281/zenodo.57523
https://zenodo.org/communities/scientific-python
https://zenodo.org/communities/earthsystems
https://doi.org/
info:eu-repo/semantics/openAccess
Creative Commons Attribution Non Commercial 4.0 International
https://creativecommons.org/licenses/by-nc/4.0/legalcode
earthquakes, seismic waveforms, data mining
Indexed Data Set From Molisan Regional Seismic Network Events
info:eu-repo/semantics/other
oai:zenodo.org:10698028
2024-02-23T17:23:12Z
user-climatechange
software
user-earthsystems
Dorheim, Kalyn
Bond-Lamberty, Ben
Hartin, Corinne
Link, Robert
Nicholson, Mat
Pralit, Patel
Pressburger, Leeya
Shiklomanov, Alexey
Vega-Westhoff, Benjamin
Woodard, Dawn
2024-02-23
<ul>
<li>Correct aerosol forcing coefficients based on Zelinka et al. (2023)</li>
<li>Enable permafrost module and recalibrate model's default parameterization</li>
</ul>
If you use this software in your work, please cite it as below.
https://doi.org/10.5281/zenodo.10698028
oai:zenodo.org:10698028
Zenodo
https://github.com/JGCRI/hector/tree/v3.2.0
https://zenodo.org/communities/climatechange
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.821645
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Hector a simple carbon-climate model
info:eu-repo/semantics/other
oai:zenodo.org:8122440
2023-08-31T19:53:07Z
user-climatechange
software
user-earthsystems
Ben Bond-Lamberty
Robert Link
Alexey Shiklomanov
Kalyn R. Dorheim
Chris Vernon
Corinne Hartin
Leeya Pressburger
Pralit Patel
bvegawe
Sven Willner
Matt Nicholson
Skylar A Gering
Steve Smith
Robert Gieseke
Cary Lynch
Dawn Woodard
Tom Payerle
mbins
2023-07-06
<p>The version of Hector that was submitted runs to the SCM ocean heat-carbon nexus study.</p>
https://doi.org/10.5281/zenodo.8122440
oai:zenodo.org:8122440
Zenodo
https://github.com/JGCRI/hector/tree/oceanMIP
https://zenodo.org/communities/climatechange
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.821645
info:eu-repo/semantics/openAccess
Other (Open)
JGCRI/hector: oceanMIP
info:eu-repo/semantics/other
oai:zenodo.org:3248741
2020-01-20T15:44:47Z
user-earthsystems
De Marchi, Davide
Burger, Armin
Kempeneers, Pieter
Soille, Pierre
2017-11-28
<p>With its open-source policy and accommodation of a wide variety of programming languages, the Jupyter web-application has recently positioned itself as the most popular environment for interactive scientific computing. In this paper, the use of Jupyter notebooks based on IPython for interactive visualisation and analysis of geospatial data is put forward and used as front-end to a back-end platform with petabyte scale storage and processing capabilities. Deferred processing allows computations to be restricted to the zoom level and extent of the area displayed in a map viewer.</p>
https://doi.org/10.5281/zenodo.3248741
oai:zenodo.org:3248741
eng
Publications Office of the European Union
https://doi.org/10.2760/383579
https://doi.org/10.1016/j.future.2017.11.007
https://doi.org/10.5281/zenodo.3239239
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.3248740
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
BiDS'17, 2017 Conference on Big Data from Space, Toulouse, France, 28-30 November 2017
JEODPP, big data, Eath Observation, Copernicus, Sentinel, Jupyter, interactive analysis, deferred processing, ipyleaflet
Interactive visualisation and analysis of geospatial data with Jupyter
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:4721584
2023-08-31T19:53:07Z
user-climatechange
software
user-earthsystems
Ben Bond-Lamberty
Robert Link
Alexey Shiklomanov
Kalyn R. Dorheim
Chris Vernon
Corinne Hartin
bvegawe
Pralit Patel
Sven Willner
Matt Nicholson
Steve Smith
Robert Gieseke
Cary Lynch
Tom Payerle
2021-04-26
The Hector Simple Climate Model
https://doi.org/10.5281/zenodo.4721584
oai:zenodo.org:4721584
Zenodo
https://github.com/JGCRI/hector/tree/rcmip-tier1
https://zenodo.org/communities/climatechange
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.821645
info:eu-repo/semantics/openAccess
Other (Open)
JGCRI/hector: v2.5.0
info:eu-repo/semantics/other
oai:zenodo.org:2295752
2020-01-20T13:03:53Z
user-earthsystems
Polina Lemenkova
2015-10-23
<p>Current paper details methodology and principles of the zoning and ranging of the nature reserve area of Šumava National Park (Czech Republic) aimed at the effective planning and monitoring special nature areas.Methodology includes complex geoecological assessment of the territory, GIS application and processing of statristical data. The specific case study includes unique nature area of the Šumava National Park located on the border terrotory Czech Republic-Germany. The methods used in this case study can be applied for similar research aimed at nature conservation and environmental audit.</p>
P. Lemenkova. "Effectiveness of the Geospatial Data Processing and Use of Statistical Information for Proper Environmental Planning and Zoning: Example of the Sumava National Park, Czech Republic". In: Innovative Development of Agricultural Science and Education. World Ex- perience and Current Priorities. Materials of the International Scientific Practical Conference dedicated to the announcement of 2015 as the Year of Agriculture in the Republic of Azerbai- jan (Azerbaijan State Agricultural University, Oct. 23–24, 2015). Ed. by N. Seyideliyev. Vol. 3. Ganja, Azerbaijan, 2015, pp. 303–306. doi: 10.6084/m9.figshare.7211525.
https://doi.org/10.6084/m9.figshare.7211525
oai:zenodo.org:2295752
Zenodo
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Innovative Development of Agricultural Science and Education. World Experience and Current Priorities, Ganja, Azerbaijan, Oct. 23–24, 2015
ecological planning
GIS
environmental monitoring
geospatial analysis
geography
geoscience
environmental mapping
Effectiveness of the Geospatial Data Processing and Use of Statistical Information for Proper Environmental Planning and Zoning: Example of the Sumava National Park, Czech Republic
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:5141443
2021-07-28T13:48:18Z
user-earthsystems
user-eu
Yohei Takano
2021-07-28
<p>CRESCENDO GA2021 Talk</p>
https://doi.org/10.5281/zenodo.5141443
oai:zenodo.org:5141443
eng
Zenodo
https://zenodo.org/communities/eu
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.5141442
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
CRESCENDO General Assembly 2021
What remains challenging to simulate historical ocean deoxygenation?
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:2295288
2020-01-20T14:02:35Z
user-earthsystems
Polina Lemenkova
2015-12-02
<p>This paper focuses on the assessment of the changes in land cover types in Yamal peninsula over the past two decades, which shows local environmen- tal aspects of the climate change in North. Technically, the data processing was per- formed in ILWIS GIS, using semi-automated methods of image interpretation and supervised classification. The results of the classification analysis enable to identify changes in land cover types and their distribution in Yamal.</p>
P. Lemenkova. "Forest Monitoring Using Remote Sensing Data and ILWIS GIS". English and Russian. In: Recent Research Directions in the XXI Century: Theory and Practice. Proceedings of the International Conference (Voronezh State University of Forestry and Technologies n. a. G. Morozov VGLTU, Dec. 2–4, 2015). Ed. by V. M. Bugakov. Vol. 3.2. 9. Voronezh, Russia: VGLTU Press, 2015, pp. 346–350. doi: 10.6084/m9.figshare.7210364. url: https:// elibrary.ru/item.asp?id=25116380.
https://doi.org/10.6084/m9.figshare.7210364
oai:zenodo.org:2295288
Zenodo
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Recent Research Directions in the XXI Century: Theory and Practice. Proceedings of the International Conference (Voronezh State University of Forestry and Technologies n. a. G. Morozov VGLTU, Voronezh, Russia, Dec. 2–4, 2015
satellite images
image processing
image analysis
image classification
GIS
vegetation cover
land cover types
land cover changes
remote sensing
Forest Monitoring Using Remote Sensing Data and ILWIS GIS
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:51488
2020-01-20T13:41:01Z
user-earthsystems
Séférian, Roland
Gehlen, Marion
Bopp, Laurent
Resplandy, Laure
Orr, James C.
Marti, Olivier
Dunne, John P.
Christian, James R.
Doney, Scott C.
Ilyina, Tatiana
Lindsay, Keith
Halloran, Paul R.
Heinze, Christoph
Segschneider, Joachim
Tjiputra, Jerry
Aumont, Olivier
Romanou, Anastasia
2016-05-12
<p>During the fifth phase of the Coupled Model Intercomparison Project (CMIP5) substantial efforts were made to systematically assess the skill of Earth system models. One goal was to check how realistically representative marine biogeochemical tracer distributions could be reproduced by models. In routine assessments model historical hindcasts were compared with available modern biogeochemical observations. However, these assessments considered neither how close modeled biogeochemical reservoirs were to equilibrium nor the sensitivity of model performance to initial conditions or to the spin-up protocols. Here, we explore how the large diversity in spin-up protocols used for marine biogeochemistry in CMIP5 Earth system models (ESMs) contributes to model-to-model differences in the simulated fields. We take advantage of a 500-year spin-up simulation of IPSL-CM5A-LR to quantify the influence of the spin-up protocol on model ability to reproduce relevant data fields. Amplification of biases in selected biogeochemical fields (O<sub>2</sub>, NO<sub>3</sub>, Alk-DIC) is assessed as a function of spin-up duration. We demonstrate that a relationship between spin-up duration and assessment metrics emerges from our model results and holds when confronted with a larger ensemble of CMIP5 models. This shows that drift has implications for performance assessment in addition to possibly aliasing estimates of climate change impact. Our study suggests that differences in spin-up protocols could explain a substantial part of model disparities, constituting a source of model-to-model uncertainty. This requires more attention in future model intercomparison exercises in order to provide quantitatively more correct ESM results on marine biogeochemistry and carbon cycle feedbacks.</p>
https://doi.org/10.5194/gmd-9-1827-2016
oai:zenodo.org:51488
Zenodo
http://www.geosci-model-dev.net/9/1827/2016/gmd-9-1827-2016.html
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Inconsistent strategies to spin up models in CMIP5: implications for ocean biogeochemical model performance assessment
info:eu-repo/semantics/article
oai:zenodo.org:2185282
2020-01-20T14:35:54Z
user-earthsystems
Lemenkova Polina
2018-12-11
<p>This paper details changes in land cover types and vegetation distribution in tundra landscapes during the past two decades. The main method of the work is classification of the Landsat TM scenes for land cover change detection. The new approach of the current work is application of GIS and remote sensing tools for Bovanenkovo region, since there is no previous remote sensing and GIS-based studies performed in the same area focusing research problem of land cover changes. The research outcomes show changes in the land cover types in Bovanenkovo region in Yamal Peninsula during the past two decades. Analysing the classification results, the most evident trend in the vegetation changes in Yamal ecosystems is the overall increase of woody vegetation (willows) and decrease of peatlands and grasses. The changes in the structure of the Yamal ecosystems come through gradual amendments in species distribution and dominant classes, which now tends to be willows and shrub tundra.</p>
P. Lemenkova. "Monitoring Changes in Agricultural Landscapes of Central Europe, Hungary". In: Geoinformatics: Theoretical and Applied Aspects. Proceedings of 12th International Conference (Great Conference Hall of the National Academy of Sciences of Ukraine, May 13–16, 2013).
https://doi.org/10.3997/2214-4609.20142479
oai:zenodo.org:2185282
Zenodo
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Geoinformatics: Theoretical and Applied Aspects, Ukraine, Kiev, 13-16 May 2013
satellite images
image processing
image classification
raster segmentation
GIS mapping
GIS
remote sensing
land cover change
land cover types
landscapes
Monitoring Changes in Agricultural Landscapes of Central Europe, Hungary
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:2295670
2020-01-20T13:37:52Z
user-earthsystems
Polina Lemenkova
2015-12-01
<p>This paper analyses optimal methods for the estimation of the environmental hazards with a case study of landslides causing degradation of the mountainous forest ecosystems. The aim of this work is analysis of possible methods of estimating consequences caused by environmental hazards affecting forest ecosystems. Methodological advances have been made in regional applications of landslides risk studies, including specific research questions, such as vulnerability estimation, economic estimation of the losses, assessment of risk perception and social aspects of risk, cartographic aspects of risk mapping, as well as elaboration of the methodology of the overall risk assessment.</p>
<p>The GIS-based mapping is undoubtedly indispensable tool for landslide risk studies, applicable both for spatial and temporal aspect of the hazard risk assessment. Many successful examples of landslide risk assessment and susceptibility analysis based on GIS mapping were done, as well as calculation of the Normalized Difference Vegetation Index. Various example of the thematic mapping of forest ecosystems are provided. For all that, the applications of the risk studies specifically for the mountainous forest landscapes mostly depend on hazard occurrence and data availability, accessibility, compat- ibility and integration. Usually, scientific reports focus on mountainous Alpine regions, which are well studied.</p>
<p>The studies of risk assessment of natural hazards grew from the engineering branch of risk analysis and are being now rapidly developed since 1990s. The understanding of the concept “risk” varies at different authors, with the main difference in the degree of objectivity of risk concept: some authors define risk as independent and ‘given’ value, while others stress the influence of social factor on overall risk. According to the UNISDR, risk is a “probability of harmful consequences, or expected losses (deaths, injures, property, livelihoods, economic activity disrupted or environment damaged) resulting from inter- actions between natural or human-induced hazards and vulnerable conditions”.</p>
P. Lemenkova. "Environmental Hazard Prevention: Monitoring and Control of Landslide Risks in Mountainous Forests". In: Actual Problems in the Development of Forestry. Proceedings of the International Conference (Vologda State University, Dec. 1–2, 2015). Ed. by R. V. Deryagin, V. I. Melekhov, and A. A. Frolov. Russia, Vologda, 2015, pp. 20–21. isbn: 978-5-87851-638-9. doi: 10.6084/m9.figshare.7210376. url: https://elibrary.ru/item.asp?id=26305562.
https://doi.org/10.6084/m9.figshare.7210376
oai:zenodo.org:2295670
Zenodo
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Actual Problems in the Development of Forestry, Russia, Vologda, Dec. 1–2, 2015
geography
sustainable development
geoscience
ecology
forest ecosystems
environmental monitoring
environmental assessment
Environmental Hazard Prevention: Monitoring and Control of Landslide Risks in Mountainous Forests
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:2282616
2020-01-20T12:58:43Z
user-stps
user-earthsystems
Олег Михайлович Пигнастый
Валерий Дмитриевич Ходусов
2018-12-14
<p>Разработан метод оптимального управления параметрами поточной линии конвейерного типа. Модель конвейерной линии представлена уравнением в частных производных, что позволяет учесть распределение продукции вдоль технологического маршрута в зависимости от времени. Исследованы различные варианты ступенчатого управления скоростью конвейерной ленты. Описаны его особенности. При различных параметрах ступенчатого управления скоростью определено расхождение между темпом выпуска продукции с поточной линии и прогнозируемым спросом </p>
https://doi.org/10.5281/zenodo.2282616
oai:zenodo.org:2282616
rus
Zenodo
http://www.kibernetika.org/volumes/2018/numbers/05/articles/07/ArticleDetailsRU.html
https://zenodo.org/communities/stps
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.2282615
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Кибернетика и системный анализ, 5(54), 68–78, (2018-12-14)
конвейер, предмет труда, производственная линия, параметры состояния поточной линии, технологическая позиция, переходной период, система управления производством
Задача оптимального управления поточной линией конвейерного типа
info:eu-repo/semantics/article
oai:zenodo.org:5787476
2021-12-18T01:48:42Z
software
user-earthsystems
Miguel
Paul Gierz
dbarbi
Jan Streffing
seb-wahl
Nadine Wieters
Deniz Ural
Joakim Kjellsson
Nikolay Koldunov
ackerlar
mbutzin
Tido Semmler
Jan Hegewald
mwerner-awi
chrisdane
SpontEIN
a270105
christian-stepanek
Marylou Athanase
2021-12-16
Simple Infrastructure for Earth System Simulations
https://doi.org/10.5281/zenodo.5787476
oai:zenodo.org:5787476
Zenodo
https://github.com/esm-tools/esm_tools/tree/v6.0.0
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.3737927
info:eu-repo/semantics/openAccess
Other (Open)
esm-tools/esm_tools: Release 6
info:eu-repo/semantics/other
oai:zenodo.org:3248602
2020-01-20T15:38:51Z
user-earthsystems
Soille,. Pierre
2014-11-12
<p>The seamless mosaicing of massive very high resolution imagery addresses several aspects related to big data from space. Data volume is directly proportional to the size the input data, i.e., order of several TeraPixels for a continent. Data velocity derives from the fact that the input data is delivered over several years to meet maximum cloud contamination constraints with the considered satellites. Data variety results from the need to collect and integrate various ancillary data for cloud detection, land/sea mask delineation, and adaptive colour balancing. This paper details how these 3 aspects of big data are handled and illustrates them for the creation of a seamless pan-European mosaic from 2.5m imagery (Land Monitoring/Urban Atlas Copernicus CORE 03 data set).</p>
https://doi.org/10.5281/zenodo.3248602
oai:zenodo.org:3248602
eng
Publications Office of the European Union
https://doi.org/10.2788/1823
https://doi.org/10.1109/TPAMI.2006.99
https://cidportal.jrc.ec.europa.eu/services/webview/jeodpp/databrowser/?default=core003Seamline
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.3248601
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
BiDS'14, 2014 Big Data from Space Conference, Frascati. Italy, 12-14 November 2014
big data, mosaicing, seamless, compositing, mathematical morphology, Copernicus,. remote sensing
Seamless Mosaicing of Very High Resolution Satellite Data at Continental Scale
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:2295618
2020-01-20T12:04:24Z
user-earthsystems
Polina Lemenkova
2015-10-14
<p>The study area is focused on the coastal city of Taipei. The environmental changes of the city were detected by geospatial analysis of the satellite images. The areas occupied by different landscape types were calculated and analyzed. It was detected that various districts were developing with different rate and intensity due to the complex factors of both human and ecological origin. The results showed in- tensive urban development, decline of green areas, increase of urban spaces since 1990.</p>
P. Lemenkova. "Environmental modelling of urban landscapes as complex, vulnerable and dynamically developing structures". In: Biodiversity. Bioconservation. Biomonitoring. Proceedings of the 2nd International Conference dedicated to the Anniversary of Adygea State University (Adygea State University (ASU), Oct. 14–16, 2015). Ed. by A. S. Zamotailov, M. I. Shapovalov, and A. D. Tsikunib. Maykop, Russia: ASU Press, 2015, pp. 170–173. doi: 10. 6084/m9.figshare.7211537. url: https://elibrary.ru/item.asp?id=24618984
https://doi.org/10.6084/m9.figshare.7211537
oai:zenodo.org:2295618
Zenodo
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Biodiversity. Bioconservation. Biomonitoring, Maykop, Russia, Oct. 14–16, 2015
satellite images
remote sensing
GIS
mapping
geospatial data
spatial analysis
image classification
ENVI GIS
image processing
image analysis
Environmental modelling of urban landscapes as complex, vulnerable and dynamically developing structures
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:2184917
2020-01-20T15:59:24Z
user-earthsystems
Lemenkova Polina
2012-09-27
<p><em>The paper focuses on analysis of Central Asian hydro-energetic system and water usage in Tian Shan region. Tian Shan system is important water resource in Central Asia: mountains river waters are intensely taken for hydropower energy, urban systems, irrigation. But geopolitics in Tian Shan is difficult: it crosses five densely populated countries. Current problem consists in water delivery between territories located in the highlands with excellent water supply and those located in valleys with water shortage. Tajikistan and Kyrgyzstan control river basins, and Kazakhstan and Uzbekistan depend on water supply. The problem of water use causes debates among these countries. Besides, climate warming affects glaciers and causes water deficit. Altogether, this leads to difficulties in hydro-energetics. A multidisciplinary analysis was performed in research: geopolitical problems of water supply in Tian Shan, spatial distribution of hydro-energetic resources and climate impact on hydro-energetics. </em></p>
isbn: 978-86-88601-05-4. Ed. by Z. Grdic and G. Toplicic-Curcic. Serbia, Ni: University of Nis Publishing Center, 2012, pp. 331–338.
https://doi.org/10.6084/m9.figshare.7211999
oai:zenodo.org:2184917
Zenodo
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Civil Engineering, Architecture and Environmental Protection. PhiDAC-2012. Proceedings of IVth International Symposium for Students of Doctoral Studies in the Fields of Civil Engineering, Architecture and Environmental Protection, Serbia, Nis, 27–28 September 2012
hydro energy
Tan Shan
geopolitics
water usage
Water Supply and Usage in Central Asia, Tian Shan Basin
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:2186360
2020-01-20T15:42:01Z
user-earthsystems
Lemenkova Polina
2013-10-14
<p><strong>The paper focuses on analysis of Central Asian hydro- energetic system and water usage in Tian Shan region. Tian Shan system is an important water resource in Central Asia: river waters are intensely taken for hydropower energy, urban systems, irrigation. But geopolitics in Tian Shan is difficult: it crosses five densely populated countries. The problem consists in water delivery between countries located in the highlands with excellent water supply (Tajikistan and Kyrgyzstan) and those located in valleys with water shortage (Kazakhstan and Uzbekistan). The water use causes debates among these countries. Besides, global warming causes water deficit, which adds difficulties to hydro- energetics. A multidisciplinary analysis was performed in the article: water supply in Tian Shan, spatial distribution of hydro- energetic resources and effects of climate impact were analysed. </strong></p>
P. Lemenkova. "Current Problems of Water Supply and Usage in Central Asia, Tian Shan Basin". In: Environmental and Climate Technologies. Proceedings of 54th International Scientific Conference (Riga Technical University, Oct. 14–16, 2013). Ed. by M. Rosa. Latvia, Riga, Oct. 2013, pp. 11–16. doi: 10.7250/iscect.2013.002.
https://doi.org/10.7250/iscect.2013.002
oai:zenodo.org:2186360
Zenodo
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Environmental and Climate Technologies. Proceedings of 54th International Scientific Conference, Latvia, Riga, 13-14 October 2013
hydro energy
renewable resources
Tan Shan
water usage
Current Problems of Water Supply and Usage in Central Asia, Tian Shan Basin
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:51489
2020-01-20T14:26:12Z
user-earthsystems
Li, Hongmei
Ilyina, Tatiana
Müller, Wolfgang A.
Sienz, Frank
2016-03-30
p>As a major CO2 sink, the North Atlantic, especially its subpolar gyre region, is essential for the global carbon cycle. Decadal fluctuations of CO2 uptake in the North Atlantic subpolar gyre region are associated with the evolution of the North Atlantic Oscillation, the Atlantic meridional overturning circulation, ocean mixing and sea surface temperature anomalies. While variations in the physical state of the ocean can be predicted several years in advance by initialization of Earth system models, predictability of CO2 uptake has remained unexplored. Here we investigate the predictability of CO2 uptake variations by initialization of the MPIESM decadal prediction system. We find large multi-year variability in oceanic CO2 uptake and demonstrate that its potential predictive skill in the western subpolar gyre region is up to 4ndash;7 years. The predictive skill is mainly maintained in winter and is attributed to the improved physical state of the ocean./p>
https://doi.org/10.1038/ncomms11076
oai:zenodo.org:51489
Zenodo
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Decadal predictions of the North Atlantic CO2 uptake
info:eu-repo/semantics/article
oai:zenodo.org:2184607
2020-01-20T15:31:44Z
user-earthsystems
Lemenkova Polina
Elek Istvan
2012-05-27
<p>The emphasis of this research is application of spatial analysis using clustering algorithm, and remote sensing data (Landsat TM imagery) for agricultural mapping of land cover types. The study area covers Mecsek Hills region, located in south-western Hungary. This region is characterized by high land heterogeneity and complex landscape structure, caused by intense agricultural land use in the region with mixed vegetation type and high environmental value. The research data consists in Landsat TM scenes taken for years for years 1992, 1999 and 2006. The methodology is based on cluster classification algorithm available in ILWIS GIS. Based on clustering technique, the agricultural land cover classes were identified by association of pixels on the Landsat TM scenes to thematic clusters. Different land use types were classified, which include natural vegetation coverage, anthropogenic areas and agricultural fields, sub-divided to various crop types. Once classification was complete, agricultural thematic maps have been created. The final research output consists in three independent agricultural thematic maps of land cover types for years 1992, 1999 and 2006.</p>
Ed. by S. Komatina- Petrovic
https://doi.org/10.6084/m9.figshare.7434218.v1
oai:zenodo.org:2184607
eng
Zenodo
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
AGES, Geosciences and Environment. Near-Surface Geophysics. Proceedings of 3rd International Conference (Association of Geophysicists and Environmentalists of Serbia), Serbia, Belgrade, 27-29 May 2012
Landsat TM
satellite image
image classification
raster segmentation
image processing
GIS
remote sensing
Clustering Algorithm in ILWIS GIS for Classification of Landsat TM Scenes: a Case Study of Mecsek Hills Region, Hungary
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:1183641
2020-02-17T22:49:08Z
user-climatechange
openaire_data
user-earthsystems
Link, Robert
Lynch, Cary
Snyder, Abigail
Hartin, Corinne
Kravitz, Ben
Bond-Lamberty, Ben
2018-02-22
<p>This is an archive of the raw data and analysis source code for the paper "Computationally Efficient Emulators for Earth System Models". The archive contains:</p>
<ul>
<li><strong>devel.Rmd : </strong>Source code for the worksheet that contains the early development and figures for the paper.</li>
<li><strong>devel.html</strong> : HTML rendering of devel.Rmd</li>
<li><strong>lg-ensemble-stats.Rmd </strong>: Source code for the worksheet that contains the statistical analysis described in the paper.</li>
<li><strong>lg-ensemble-stats.html</strong> : HTML rendering of lg-ensemble-stats.Rmd</li>
<li><strong>data.tar.bz2 </strong>: Input data for the analyses above.</li>
</ul>
https://doi.org/10.5281/zenodo.1183641
oai:zenodo.org:1183641
eng
Zenodo
https://zenodo.org/communities/climatechange
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.1183640
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Data and analysis for "Computationally Efficient Emulators for Earth System Models"
info:eu-repo/semantics/other
oai:zenodo.org:57523
2020-01-24T19:22:23Z
user-scientific-python
openaire_data
user-earthsystems
Giovanni De Gasperis
Christian Del Pinto
2016-07-12
<p>Abstract:</p>
<p><em>After the earthquake occurred in Molise (Central Italy) on 31st October 2002<br />
(Ml 5.4, 29 people dead), the local Servizio Regionale per la Protezione Civile<br />
to ensure a better analysis of local seismic data, through a convention with<br />
the Istituto Nazionale di Geofisica e Vulcanologia (INGV), promoted the design<br />
of the Regional Seismic Network (RMSM) and funded its implementation. The 5<br />
stations of RMSM worked since 2007 to 2013 collecting a large amount of seismic<br />
data and giving an important contribution to the study of seismic sources<br />
present in the region and the surrounding territory. This work reports about<br />
the dataset containing all triggers collected by RMSM since July 2007 to March<br />
2009, including actual seismic events; among them, all earthquakes events<br />
recorded in coincidence to Rete Sismica Nazionale Centralizzata (RSNC) of INGV<br />
have been marked with S and P arrival timestamps. Every trigger has been<br />
associated to a spectrogram defined into a recorded time vs. frequency domain.<br />
The main aim of this structured dataset is to be used for further analysis with<br />
data mining and machine learning techniques on image patterns associated to the<br />
waveforms.</em></p>
<p>Link arXiv: http://arxiv.org/abs/1607.02607</p>
https://doi.org/10.5281/zenodo.57523
oai:zenodo.org:57523
Zenodo
http://arxiv.org/abs/1607.02607
https://zenodo.org/communities/scientific-python
https://zenodo.org/communities/earthsystems
https://doi.org/
info:eu-repo/semantics/openAccess
Creative Commons Attribution Non Commercial 4.0 International
https://creativecommons.org/licenses/by-nc/4.0/legalcode
earthquakes, seismic waveforms, data mining
Data Set From Molisan Regional Seismic Network Events
info:eu-repo/semantics/other
oai:zenodo.org:2667325
2023-08-31T19:53:07Z
user-climatechange
software
user-earthsystems
Robert Link
Ben Bond-Lamberty
Corinne Hartin
Alexey Shiklomanov
bvegawe
Pralit Patel
Sven Willner
Kalyn R. Dorheim
Robert Gieseke
Steve Smith
Cary Lynch
2019-05-04
<ul>
<li>Fix bug that was causing requests for H2O forcing in the R interface to return N2O forcing instead (the model internals were unaffected).</li>
<li>Fix bug that was causing API requests for halocarbon forcing to return absolute forcing values, rather than values relative to the base year (which is what is done for all other forcings).</li>
<li>Add missing capability dependency in forcing component.</li>
</ul>
https://doi.org/10.5281/zenodo.2667325
oai:zenodo.org:2667325
Zenodo
https://github.com/JGCRI/hector/tree/v2.2.2
https://zenodo.org/communities/climatechange
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.821645
info:eu-repo/semantics/openAccess
GNU General Public License v2.0 only
https://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
JGCRI/hector: Hector version 2.2.2
info:eu-repo/semantics/other
oai:zenodo.org:7615632
2023-08-31T19:53:07Z
user-climatechange
software
user-earthsystems
Ben Bond-Lamberty
Robert Link
Alexey Shiklomanov
Kalyn R. Dorheim
Chris Vernon
Corinne Hartin
Leeya Pressburger
Pralit Patel
bvegawe
Sven Willner
Matt Nicholson
Skylar A Gering
Steve Smith
Robert Gieseke
Cary Lynch
Dawn Woodard
Tom Payerle
mbins
2023-02-06
<p>This is the PR containing all of the developments post v2.5 release, it has been a large and lengthy process. Many developers have worked on this PR not limited to but including @bpbon, @leeyap, @dawnlwoodard, @skygering, @ashiklom, and @pralitp. At least 73 peer-reviewed PRs were merged into this branch.</p>
<p>The major changes are noted in the News section of <a href="https://github.com/JGCRI/hector/pull/%5Bjgcri.github.io/hectorjgcri.github.io/hector%5D(https://jgcri.github.io/hector">the online documentation</a>) and will be further documented in the Hector v3 manuscript that is currently in prep (final manuscript information to be added here after publication). Since the quality analysis was completed during each stage of development and for detailed questions, refer to the individual PR where the development was completed. The documentation included in this PR will provide some wholistic general information about Hector behavior changes and performance.</p>
https://doi.org/10.5281/zenodo.7615632
oai:zenodo.org:7615632
Zenodo
https://github.com/JGCRI/hector/tree/v3.0.0
https://zenodo.org/communities/climatechange
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.821645
info:eu-repo/semantics/openAccess
Other (Open)
JGCRI/hector: version 3 release!
info:eu-repo/semantics/other
oai:zenodo.org:1203694
2023-08-31T19:53:06Z
user-climatechange
software
user-earthsystems
Ben Bond-Lamberty
Corinne Hartin
Robert Link
bvegawe
Pralit Patel
Sven Willner
Robert Gieseke
Cary Lynch
2018-03-19
<p>updated license - intended to be GPLv3</p>
https://doi.org/10.5281/zenodo.1203694
oai:zenodo.org:1203694
Zenodo
https://github.com/JGCRI/hector/tree/v2.0.1
https://zenodo.org/communities/climatechange
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.821645
info:eu-repo/semantics/openAccess
Other (Open)
JGCRI/hector: v2.0.1
info:eu-repo/semantics/other
oai:zenodo.org:3144007
2023-08-31T19:53:07Z
user-climatechange
software
user-earthsystems
Robert Link
Ben Bond-Lamberty
Corinne Hartin
Alexey Shiklomanov
bvegawe
Pralit Patel
Sven Willner
Kalyn R. Dorheim
Robert Gieseke
Steve Smith
Cary Lynch
2019-05-22
<p>Hector 2.3.0</p>
<ul>
<li>Constrain atmospheric CO2 concentration to be equal to the preindustrial concentration during the model spinup. The result of this is that the concentration at the beginning of the simulation will be equal to the value specified in the <code>PREINDUSTRIAL_CO2</code> parameter, which was not the case previously.</li>
</ul>
https://doi.org/10.5281/zenodo.3144007
oai:zenodo.org:3144007
Zenodo
https://github.com/JGCRI/hector/tree/v2.3.0
https://zenodo.org/communities/climatechange
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.821645
info:eu-repo/semantics/openAccess
Other (Open)
JGCRI/hector: Hector version 2.3.0
info:eu-repo/semantics/other
oai:zenodo.org:3797121
2021-12-16T23:39:43Z
software
user-earthsystems
Dirk Barbi
Paul Gierz
Nadine Wieters
Luisa Cristini
Jan Streffing
Miguel Andrés-Martinez
Joakim Kjellsson
Sebastian Wahl
2020-05-06
<p>No description provided.</p>
https://doi.org/10.5281/zenodo.3797121
oai:zenodo.org:3797121
Zenodo
https://github.com/esm-tools/esm_tools/tree/v4.0.3
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.3737927
info:eu-repo/semantics/openAccess
Other (Open)
esm-tools/esm_tools: Release 4
info:eu-repo/semantics/other
oai:zenodo.org:4899741
2021-12-16T23:39:43Z
software
user-earthsystems
Dirk Barbi
Paul Gierz
Nadine Wieters
Luisa Cristini
Jan Streffing
Miguel Andrés-Martinez
Joakim Kjellsson
Sebastian Wahl
Deniz Ural
2021-06-04
<p>To assist researchers and modellers by reducing avoidable complexity, we developed the ESM-Tools software, which provides a standard way for downloading, configuring, compiling, running and monitoring different models on a variety of High Performance Computing (HPC) systems. It should be noted that ESM-Tools is not a coupling software itself, but a workflow and infrastructure management tool to provide access to increase usability of already existing components and coupled setups. As coupled ESMs are technically the more challenging tasks, we will focus on coupled setups, always implying that stand-alone models can benefit in the same way. </p>
https://doi.org/10.5281/zenodo.4899741
oai:zenodo.org:4899741
Zenodo
https://github.com/esm-tools/esm_tools/tree/v4.0.3
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.3737927
info:eu-repo/semantics/openAccess
esm-tools/esm_tools: Release 5.1
info:eu-repo/semantics/other
oai:zenodo.org:2094132
2020-01-20T14:41:52Z
user-earthsystems
Lemenkova Polina
2015-07-03
<p><strong>The research scope of this paper is to apply spatial object based image analysis (OBIA) method for processing panchromatic multispectral image covering study area of Brussels for urban mapping. The aim is to map different land cover types and more specifically, built-up areas from the very high resolution (VHR) satellite image using OBIA approach. A case study covers urban landscapes in the eastern areas of the city of Brussels, Belgium. Technically, this research was performed in eCognition raster processing software demonstrating excellent results of image segmentation and classification. The tools embedded in eCognition enabled to perform image segmentation and objects classification processes in a semi-automated regime, which is useful for the city planning, spatial analysis and urban growth analysis. The combination of the OBIA method together with technical tools of the eCognition demonstrated applicability of this method for urban mapping in densely populated areas, e.g. in megapolis and capital cities. The methodology included multiresolution segmentation and classification of the created objects. </strong></p>
P. Lemenkova. "Topology, Homogeneity and Scale Factors for Object Detection: Application of eCognition Software for Urban Mapping using Multispectral Satellite Image". In: Internet and Society. Modeling. Proceedings of 7th International Scientific and Practical Conference. INSO2015 (Akaki Tsereteli State University ATSU, July 3–4, 2015). Ed. by A. Girgvliani et al. Kutaisi (Imereti), Georgia: ATSU Press, 2015, pp. 80–85. isbn: 978-9941-459-43-6. doi: 10.6084/m9.figshare.7211588.
https://doi.org/10.6084/m9.figshare.7211588
oai:zenodo.org:2094132
https://hal.archives-ouvertes.fr/hal-01949042v1
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3298260
https://www.lifescience.net/publications/16557/topology-homogeneity-and-scale-factors-for-object-/
eng
Zenodo
https://arxiv.org/abs/arXiv:1901.00726
http://inso.ge/inso2015/wp-content/uploads/2015/07/1-Lemenkova-Polina.pdf
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Proceedings of 7th International Scientific and Practical Conference. INSO2015, 80–85, (2015-07-03)
INSO2015, Proceedings of 7th International Scientific and Practical Conference. (Akaki Tsereteli State University), Kutaisi (Imereti), Georgia, 3-4 July 2015
Urban mapping
object based image analysis
OBIA
Topology, Homogeneity and Scale Factors for Object Detection: Application of eCognition Software for Urban Mapping using Multispectral Satellite Image
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:2296191
2020-01-20T12:04:25Z
user-earthsystems
Polina Lemenkova
2016-02-08
<p>Current paper systematizes methodological guidelines for the design and compilation a series of maps of the environmental monitoring of the marine regions. This includes selection of a large-scale series and mathematical framework, design solutions and thematic content of the series. The use of GIS and CAD tools is effective for visualizing nature conservation areas and spots, as well as ecological monitoring of ecosystems. While mapping a series of the thematic maps, almost all known methods GIS tools can and should be used. Those include graphical methods for spatial distribution of the natural phenomena, combinations, relationships, and dynamics of objects and or factors. Nevertheless, at the current moment there are no generally accepted recommendations how to design maps in a standardized way. The paper suggests solutions for this problem by summarizing the existing experience and offering optimal algorithms for GIS design.</p>
P. Lemenkova. "Designing Map Series for the Environmental Monitoring: Mathematical Back- ground and Thematic Content". Russian. In: Actual Problems of Science and Technologies in View of Young Scientists. Proceedings of the International Conference (SibADI, Feb. 8–9, 2016). Ed. by V. Y. Kirnichny. Russia, Omsk: SibADI Press, 2016, pp. 80–85. isbn: 978-5-93204-897-9. doi: 10.6084/m9.figshare.7210244. url: https://elibrary.ru/item.asp?id=26160202.
https://doi.org/10.6084/m9.figshare.7210244
oai:zenodo.org:2296191
rus
Zenodo
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Actual Problems of Science and Technologies in View of Young Scientists, Russia, Omsk, Feb. 8–9, 2016
Designing Map Series for the Environmental Monitoring: Mathematical Background and Thematic Content
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:3371079
2020-03-02T15:21:32Z
user-earthsystems
Syrris
Corbane
Soille
2017-11-28
<p>This paper presents an algorithmic workflow for producing mosaics based on the dual polarisation capability of Sentinel-1 SAR imagery. The main characteristics of the specific method are: automated and nonparametric approach, fast processing, incremental adjustment and information distinction. The workflow has been optimized according to the configuration of the recently introduced JEODPP platform. Challenges, suggestions and solutions are discussed as well.</p>
https://doi.org/10.5281/zenodo.3371079
oai:zenodo.org:3371079
eng
Zenodo
https://doi.org/10.2760/383579
https://doi.org/10.5281/zenodo.3239211
https://doi.org/10.2905/jrc-bigdataeoss-s1-mosaic
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.3371078
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
BiDS'17, Big Data from Space, Toulouse, 28-30 November 2017
Sentinel-1
Copernicus
Mosaic
Big Data
histogram discretization
Earth Observation
Remote Sensing
A Global Mosaic from Copernicus Sentinel-1 Data
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:2146216
2020-01-20T12:04:52Z
user-earthsystems
Lemenkova Polina
2016-04-25
<p>Current research presents study of the hydrological characteristics in the surroundings of the Laguna de Gallocanta (Spain) using remote sensing methods and combination of two GIS: ArcGIS and Idrisi GIS. The methodology includes following workflow: 1) selection of the multi-temporal Landsat images and creating color composites; 2) Masking and overlaying study area out of the whole image; 3) Calculation of the direction and length of stream flow in the lake basin; 4) assessment of possible risks of floods and stability of coastal slopes. The research has aim of hydrological assessment testing GIS tools for environmental monitoring.</p>
in: Problems of the Environmental Landscape Planning. Proceedings of the Russian National Research Conference (Novocherkasskij inzhenerno-meliorativnyj institut DGAU, Apr. 25–27, 2016). Ed. by A. I. Klimenko. Russia, Novocherkassk: DGAU, 2016, pp. 237–240.
https://doi.org/10.6084/m9.figshare.7210229
oai:zenodo.org:2146216
eng
Zenodo
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Problems of the Environmental Landscape Planning, Russia, Novocherkassk, 25-27 April 2016
satellite images
image processing
ArcGIS
hydrological modelling
Using GIS for Monitoring Lacustrine Ecosystem: a Case Study of Laguna de Gallocanta, Spain
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:2158076
2020-01-20T17:21:21Z
user-spacephysics
user-earthsystems
Schenke Hans Werner
Lemenkova Polina
2008-06-01
<p>Actually, the problem of vectorizing paper maps comes up, when the cartographer has to convert scanned paper maps or satellite imageries in vector format. This issue is of topical interest, because there are both the satellite images and bathymetric (or topographic) maps which are still largely paper-based and therefore uneditable in any digital system. Bitmap to vector converting is a difficult, highly time-consuming and technical task. The ideal instrument for quick and perfect digitizing of raster images to vector ones (so called R2V vectorizing software) does not exist though for the machine<br>
doesn’t understand the geomorphological features and the character of the sea floor relief. That’s why the digitizing routine requires a large share of manual labour, a lot of time and patience in several trial sessions, which will necessarily contain errors to finally find out the best parameters of procedure to make a reality of our cartographic wishes. Especially difficult and tedious is to digitize large-scaled bathymetric maps with very complicated relief and geomorphological features. And<br>
it’s not to mention that nowadays paper-based maps without digital counterpart lose their value, yet making those cost a lot of money for updating and changing the thematic information on maps. At the same time, we can’t reject the paper-based maps only because they are paper-based. A lot of thematic maps are really rare, very necessary or just are to be used in mapping, e. g. geologic or tectonic maps, since their thematic information may remain the same for centuries. So it’s clear, that using of the digitizing tools in mapping and finding out the optimal instrument for the bathymetrical purposes are questions of great actuality and importance. In this article the experience of our work with AutoTrace is presented – a vectorizer toolkit, that is chosen among others thanks to its effectiveness and open source distribution.</p>
Translated title: "To the question of the seafloor bathymetry: the use of Auto Trace digitizer for the vectorization of the bathymetric data in the Pechora Sea". issn: 0934-7747
https://doi.org/10.6084/m9.figshare.7435538.v2
oai:zenodo.org:2158076
https://doi.org/10.6084/m9.figshare.7435538.v2
deu
Zenodo
https://hal.archives-ouvertes.fr/hal-01964403
https://zenodo.org/communities/earthsystems
https://zenodo.org/communities/spacephysics
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Hydrographische Nachrichten, 81, 16–21, (2008-06-01)
Seafloor
Vectorization
Bathymetry
Mapping
Petschora Sea
Digitizing
Zur Frage der Meeresboden-Kartographie: die Nutzung von Auto Trace Digitizer für die Vektorisierung der Bathymetrischen Daten in der Petschora-See
info:eu-repo/semantics/article
oai:zenodo.org:1408855
2020-01-20T17:40:18Z
openaire
user-earthsystems
user-esiwace
Miguel Castrillo
2017-07-18
<p>Optimization of Earth Sciences models within the Earth Sciences department of the Barcelona Supercomputing Center</p>
https://doi.org/10.5281/zenodo.1408855
oai:zenodo.org:1408855
Zenodo
https://zenodo.org/communities/esiwace
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.1408854
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
HPC models performance Earth Science EC-Earth tools Paraver BSC
Optimization of Earth Sciences models
info:eu-repo/semantics/lecture
oai:zenodo.org:2295226
2020-01-20T12:59:09Z
user-earthsystems
Polina Lemenkova
2015-10-15
<p>The Pechora Sea and Pechora river are parts of the Barents Sea located in the Russian Arctic. The unique environment of the Pechora Sea ecosystems should be maintained and protected for nature conservation. However, the negative impacts caused by the excessed anthropogenic activities cause serious environmental consequences. Current paper reported geographic characteristics of this geographic area, detailed some of the current environmental challenges and contributed to the monitoring of the vulnerable Russia Arctic region. Among all Arctic seas, the Barents Sea is singled out for its unique environment and its high biodiversity. At the same time, parts of the Gulf Stream current transfers its waters directly into this area bringing along different contaminants from Northern Sea.</p>
P. Lemenkova. "Estuarine Response of the Pechora River to the External Ecological Impacts from Oil and Mining Activities". In: Oil and Gas in Western Siberia. Exploration, estimation and geological basis of oil, gas and groundwater development. Innovative geodetic technologies in the oil and gas industry. Problems of ecology, safety of objects and territories. Proceedings of the International Conference (Tyumen State Oil and Gas University (TSOGU), Oct. 15–16, 2015). Ed. by P. V. Evtin, D. V. Pyalchenkov, and A. R. Kurchikov. Vol. 1. Tyumen, Russia: TSOGU Press, 2015, pp. 118–123. isbn: 978-5-9961-1112-1. doi: 10.6084/m9.figshare.7211528. url: https://elibrary.ru/item.asp?id=24290333.
https://doi.org/10.6084/m9.figshare.7211528
oai:zenodo.org:2295226
Zenodo
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Oil and Gas in Western Siberia. Exploration, estimation and geological basis of oil, gas and groundwater development. Innovative geodetic technologies in the oil and gas industry. Problems of ecology, safety of objects and territories, Tyumen, Russia, Oct. 15–16, 2015
marine ecology
environmental sustainability
geography
Arctic region
sustainable development
Estuarine Response of the Pechora River to the External Ecological Impacts from Oil and Mining Activities
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:2187687
2020-01-20T12:59:27Z
user-earthsystems
Lemenkova Polina
2014-11-17
<p>The study focuses on the semi-automatic detection of the vegetation on the satellite panchromatic image covering area of Brussels, Belgium. Using functions of the Normalized Difference Vegetation Index (NDVI) and spectral reflectane parameters of the image, the vegetation was identified on the satellite scene. The research question was to assess, how NDVI measurements can be used for urban studies using remote sensing data. The aim is to distinguish and separate on the map built-up areas from the green spaces (parks, gardens, etc) within the urban landscape. The research is supported by the raster imageand the <em>eCognition </em>software for image analysis. The results show detected vegetation areas in eastern part of Brussels. The research demonstrated methodological applicability of eCognition software for GIS-based urban mapping and ecological assessment (areas and sizes of vegetation coverage).</p>
P. Lemenkova. "Detection of Vegetation Coverage in Urban Agglomeration of Brussels by NDVI Indicator Using eCognition Software and Remote Sensing Measurements". In: GIS and Remote Sensing. GIS Day. Proceedings of 3rd International Conference (Environmental Research and GIS Centre, Nov. 17–19, 2014). Ed. by H. Manandyan. Tsaghkadzor, Armenia: Print Way, 2014, pp. 112–119. doi: 10.6084/m9.figshare.7434215.
https://doi.org/10.6084/m9.figshare.7434215
oai:zenodo.org:2187687
Zenodo
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
GIS and Remote Sensing. GIS Day. Proceedings of 3rd International Conference, Tsaghkadzor, Armenia, 17-19 November 2014
eCognition
urban sprawl
image processing
image analysis
image classification
remote sensing
GIS
mapping
Detection of vegetation coverage in urban agglomeration of Brussels by NDVI indicator using eCognition software and remote sensing measurements
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:2187266
2020-01-20T15:37:22Z
openaire
user-earthsystems
Lemenkova Polina
2014-11-26
<p>The research focuses on monitoring landscapes downgrading in specific conditions of Arctic ecosystems with cold climate conditions (marshes, permafrost, high humidity and moisture). A specific case study of the current work is cryogenic landslides which are typical for cold environments with permafrost distribution. The research region is located in Yamal Peninsula, north Russia. This work analyses environmental consequences caused by the cryogenic landslides in northern landscapes and overall climate changes affecting sensitive Arctic ecosystems. The thaw of permafrost layer leads to the destruction of the ground soil layer and activates cryogenic landslide processes. After disaster, vegetation coverage needs a long time to recover, due to the sensitivity of the specific northern environment. As a result, land cover types change significantly within the landscapes of the regions affected by the disaster. The application of GIS software was used to analyze and process two satellite images (Landsat TM) taken at different time (1988 and 2011) in order to assess spatiotemporal changes in the land cover types of the Arctic landscapes. This work demonstrates how GIS spatial analysis can be applied to studies of the environmental disasters, as well as monitoring and mapping changes in the landscapes patterns caused by the external factors such as landslide hazards..</p>
P. Lemenkova. Risks of Cryogenic Landslide Hazards and Their Impact on Ecosystems in Cold Environments. Presented at 1st International Symposium The Effects of Irrigation and Drainage on Rural and Urban Landscapes IRLA2014, 2014 Nov 26-28. Poster. Patras, Greece, 2014. doi: 10.13140/RG.2.2.33316.12160.
https://doi.org/10.13140/RG.2.2.33316.12160
oai:zenodo.org:2187266
Zenodo
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
IRLA2014, 1st International Symposium The Effects of Irrigation and Drainage on Rural and Urban Landscapes, Patras, Greece, 26-28 November 2014
Landsat TM
image classification
image processing
remote sensing
GIS
mapping
raster segmentation
Risks of Cryogenic Landslide Hazards and Their Impact on Ecosystems in Cold Environments
info:eu-repo/semantics/conferencePoster
oai:zenodo.org:2094101
2020-01-20T15:15:59Z
user-spacephysics
user-photogrammetry
user-earthsystems
Lemenkova Polina
2018-12-02
<p>The aim of this work is to identify main impact factors affecting variations in the geomorphology of the Mariana Trench which is the deepest place of the Earth, located in the west Pacific Ocean: steepness angle and structure of the sediment compression. The Mariana Trench presents a complex ecosystem with highly interconnected factors: geology (sediment thickness and tectonics including four plates that Mariana trench crosses: Philippine, Pacific, Mariana, Caroline), bathymetry (coordinates, slope angle, depth values in the observation points). To study such a complex system, an objective method combining various approaches (statistics, R, GIS, descriptive analysis and graphical plotting) was performed. Methodology of the research includes following clusters: R programming language for writing codes, statistical analysis, mathematical algorithms for data processing, analysis and visualizing diagrams, GIS for digitizing bathymetric profiles and spatial analysis. The statistical analysis of the data taken from the bathymetric profiles was applied to environmental factors, i.e. coordinates, depths, geological properties sediment thickness, slope angles, etc. Finally, factor analysis was performed by R libraries to analyze impact factors of the Mariana Trench ecosystem. Euler-Venn logical diagrams highlighted similarities between four tectonic plates and environmental factors. The results revealed distinct correlations between the environmental factors (sediment thickness, slope steepness, depth values by observation points, geographic location of the profiles) affecting Mariana Trench morphology. The research demonstrated that coding on R language provides a powerful and highly effective statistical tools, mathematical algorithms of factor analysis to study ocean trench formation.</p>
cite as: P. Lemenkova. "Factor Analysis by R Programming to Assess Variability Among Environmental Determinants of the Mariana Trench". In: Turkish Journal of Maritime and Marine Sciences 4 (2 Dec. 2018), pp. 146–155. issn: 2564-7016. doi: 10.6084/m9.figshare.7358207. arXiv: 1812.00989v1 [physics.geo-ph]. url: http://edergi.odu.edu.tr/ojs/index.php/JMMS/ article/view/426.
https://doi.org/10.6084/m9.figshare.7358207
oai:zenodo.org:2094101
https://doi.org/10.6084/m9.figshare.7358207
eng
Zenodo
issn:2564-7016
http://edergi.odu.edu.tr/ojs/index.php/JMMS/ article/view/426
https://arxiv.org/abs/arXiv:1812.00989v1
https://doi.org/10.7910/DVN/IFZXDG
https://zenodo.org/communities/photogrammetry
https://zenodo.org/communities/earthsystems
https://zenodo.org/communities/spacephysics
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Turkish Journal of Maritime and Marine Sciences, 4, 146–155, (2018-12-02)
Factor Analysis
Marine Geology
Pacific Ocean
R Programming
Factor Analysis by R Programming to Assess Variability Among Environmental Determinants of the Mariana Trench
info:eu-repo/semantics/article
oai:zenodo.org:2186850
2020-01-20T13:23:29Z
user-earthsystems
Lemenkova Polina
2014-09-11
<p><em>The research examines aspects of natural and cultural heritage and environmental management in Tian Shan region, Central Asia. This region is outstanding for the richness of natural resources, landscapes and ecosystems. Natural resources of Tian Shan are exceptional: the ecosystems include numerous protected and rare species, endemics, unique coniferous forests, rich biodiversity. However, nowadays the ecosystems experience environmental and anthropogenic impacts. After the disintegration of the Soviet Union (1990s), there is a clear shift of the Central Asian society back to the subsistence agriculture with recovered traditional style of life: private land use and cattle grazing on mountain pastures. Therefore, the anthropogenic impacts are presented by the livestock husbandry and nomadic pastures, since the majority of the local population now maintain traditional style of life. The livestock is increased, and strong grazing pressure become transform to overgrazing. This leads to unsustainable agriculture and overgrazing caused by cattle herds, and affects sustainability in mountainous landscapes. Given the unique ecology of the region, special measures should be taken to maintain ecosystems’ sustainability. The sustainable management of natural resources in this unique region needs stimulating balanced co-existence of man and nature, and requires quality insights and acquaintanceship. Nevertheless, the information about Tian Shan environment is the least available comparing to other Eurasian mountains, and there is lack of regular environmental monitoring programmes cooperated at the cross-country level. This research contributes to regional monitoring of Tian Shan, providing analysis of its environmental situation and examining ways for the </em><em>sustainable use of natural resources.</em></p>
P. Lemenkova. "Rural Sustainability and Management of Natural Resources in Tian Shan Region, Central Asia". In: International Conference Celebrating Pastoral Life. Heritage and Economic Development. Proceedings of the International Conference. CANEPAL (17 Empedocleous Street, Athens, Sept. 11–13, 2014). Ed. by F. Papageorgiou. Athens, Greece: PRISMA Centre for Development Studies, 2014, pp. 81–89. isbn: 978-960-6676-22-2. doi: 10.6084/m9. figshare.7211927.v2.
https://doi.org/10.6084/m9.figshare.7211927.v2
oai:zenodo.org:2186850
Zenodo
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
International Conference Celebrating Pastoral Life. Heritage and Economic Development, Greece, Athens, 11–13 September 2014
Tian Shan
natural resources
rural sustainability
environment
monitoring
Rural Sustainability and Management of Natural Resources in Tian Shan Region, Central Asia
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:51486
2020-01-20T16:53:07Z
user-earthsystems
Hagemann, Stefan
Blome, Tanja
Ekici, Altug
Beer, Christian
2016-02-29
<p>Permafrost or perennially frozen ground is an important part of the terrestrial cryosphere; roughly one quarter of Earth's land surface is underlain by permafrost. The impact of the currently observed warming, which is projected to persist during the coming decades due to anthropogenic CO<sub>2</sub> input, certainly has effects for the vast permafrost areas of the high northern latitudes. The quantification of these effects, however, is scientifically still an open question. This is partly due to the complexity of the system, where several feedbacks are interacting between land and atmosphere, sometimes counterbalancing each other. Moreover, until recently, many global circulation models (GCMs) and Earth system models (ESMs) lacked the sufficient representation of cold region physical soil processes in their land surface schemes, especially of the effects of freezing and thawing of soil water for both energy and water cycles. Therefore, it will be analysed in the present study how these processes impact large-scale hydrology and climate over northern hemisphere high latitude land areas. For this analysis, the atmosphere-land part of MPI-ESM, ECHAM6-JSBACH, is driven by prescribed observed SST and sea ice in an AMIP2-type setup with and without newly implemented cold region soil processes. Results show a large improvement in the simulated discharge. On one hand this is related to an improved snowmelt peak of runoff due to frozen soil in spring. On the other hand a subsequent reduction of soil moisture leads to a positive land atmosphere feedback to precipitation over the high latitudes, which reduces the model’s wet biases in precipitation and evapotranspiration during the summer. This is noteworthy as soil moisture – atmosphere feedbacks have previously not been in the research focus over the high latitudes. These results point out the importance of high latitude physical processes at the land surface for the regional climate.</p>
https://doi.org/10.5194/esd-2016-5
oai:zenodo.org:51486
Zenodo
http://www.earth-syst-dynam-discuss.net/esd-2016-5/
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Soil frost-induced soil moisture precipitation feedback over high northern latitudes
info:eu-repo/semantics/article
oai:zenodo.org:1408927
2020-01-20T17:30:59Z
openaire
user-earthsystems
user-esiwace
Miguel Castrillo
Mario Acosta
2018-04-17
<p>Performance activities on Earth Sciences models within the Earth Sciences department of the Barcelona Supercomputing Center</p>
https://doi.org/10.5281/zenodo.1408927
oai:zenodo.org:1408927
Zenodo
https://zenodo.org/communities/esiwace
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.1408926
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
performance HPC Earth Sciences models Paraver tools NEMO EC-Earth OASIS XIOS efficiency
JLESC Performance activities in Earth Science Department
info:eu-repo/semantics/lecture
oai:zenodo.org:801954
2023-01-30T16:31:48Z
user-hydrology
user-earthsystems
Kumar, Vivek
2016-04-15
<p>Water is very essential and a major component of all living creatures. Pure water is colourless, tasteless and odourless, but is generally found in impure state. Water found in oceans, rivers, lakes and ponds appear of different colour. Suspended and dissolved particles influence the colour of water. Freshwater bodies sometime appear turquoise (blue-green) and bright sky-blue and catches the attention of people. Turquoise and bright sky-blue appearing freshwater bodies are found in different parts of the world in different set of environmental conditions. For example, glacial-fed lakes also appear turquoise, crater lakes also bears turquoise colour and calcium carbonate rich water bodies also appear turquoise. Recently, rivers polluted by anthropogenic activities are also seen to bear turquoise color appearance. The turquoise appearance of water bodies is mainly due to the scattering of light in the blue-green range of the spectrum by suspended particles present in the water. There is diversity in the causal factor(s) responsible for such coloration in different set of conditions, but turquoise freshwater bodies originating under similar conditions in different parts of the world have some common characteristics. Moreover, the information about turquoise appearing freshwater bodies in different parts of the world are present but are scattered into pieces. There is a great need felt for compilation of different turquoise appearing freshwater bodies in the world. In this paper, different turquoise appearing freshwater bodies throughout the world have been identified. The causal factor(s) responsible for such coloration is also discussed. Since, the turquoise appearing freshwater bodies originating in similar conditions in different parts of the world bears some common characteristics, so based on it, a categorisation of turquoise appearing freshwater bodies for the first time is proposed in this paper for a better understanding. The categorisation has been supported by examples.</p>
https://doi.org/10.5281/zenodo.801954
oai:zenodo.org:801954
Zenodo
https://zenodo.org/communities/earthsystems
https://zenodo.org/communities/hydrology
https://doi.org/10.5281/zenodo.801953
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Turquoise River
Blue-Green Water
Polluted Turquoise River
Mining Pollution
Lukha River
Meghalaya
Sky blue freshwater
STUDY ON TURQUOISE AND BRIGHT SKY-BLUE APPEARING FRESHWATER BODIES
info:eu-repo/semantics/article
oai:zenodo.org:4618266
2021-03-24T00:27:31Z
openaire
user-earthsystems
user-eu
CRESCENDO
2021-03-18
<p>CRESCENDO is a European funded project running from 2015-2021 focused on progressing the next generation of European Earth System models. The project has delivered credible and trustworthy projections by improving the representation of key processes in European Earth system models. Using these projections, CRESCENDO will inform policy making and support the 6th IPCC Assessment Report.</p>
<p>The final CRESCENDO General Assembly took place as an online meeting from 15<sup>th</sup> to 17<sup>th</sup> March 2021. The meeting focused on science achievements from across the breadth of the project. This set of slides from the talks provides an insight into the achievements of the project.</p>
https://doi.org/10.5281/zenodo.4618266
oai:zenodo.org:4618266
Zenodo
https://zenodo.org/communities/eu
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.4618265
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
CRESCENDO, CRESCENDO General Assembly 2021 - Science Talks, 15-17 March 2021
Earth system models
CMIP6
CRESCENDO General Assembly 2021 - Science Talks
info:eu-repo/semantics/lecture
oai:zenodo.org:2590799
2020-01-21T07:23:33Z
openaire_data
user-earthsystems
Petersky, Rose S.
Harpold, Adrian A.
2018-10-19
<p>We compile and release ~55 years of daily and ~20 years of hourly Micrometeorological and hydrological data from Sagehen Creek a 28 km〖^2〗 watershed with observation sites spanning 1771 to 2670 m. A USGS gauging station measures streamflow at the catchment outlet. There are three Snow Telemetry (SNOTEL) stations: Independence Camp(2128 m), Independence Creek (1962 m) and Independence Lake (2541 m) that measure hourly precipitation, temperature, soil moisture (at 5, 20, and 50 cm), as well as daily snow water equivalent (SWE) and snow depth. A new method was used to estimate hourly precipitation data using quality controlled daily totals. A NOAA cooperative observer (COOP) station measures daily precipitation, temperature, SWE, and snow depth from 1953-1997 and then measures hourly precipitation, temperature, SWE, and snow depth, relative humidity, and solar radiation from 2001 through 2017 2001-present. There are an additional three towers with data beginning in 2009 measuring snow depth, SWE, solar radiation, barometric pressure, precipitation, relative humidity, and temperature: Tower 1 (1934m), Tower 3 (2114 m), and Tower 4 (2350 m). Wind speed, temperature, and relative humidity measured at 7.6 and 30.5 m at each site. Data from all stations were checked for poor QA/QC and substantial and sophisticated gap-filling techniques were deployed. This dataset holds potential for improving understanding of orographic processes and their implications for streamflow generation in a groundwater-dominated watershed.</p>
https://doi.org/10.5281/zenodo.2590799
oai:zenodo.org:2590799
Zenodo
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.2590798
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
air temperature
snow depth
snow water equivalent
precipitation
Climate Change
Climatology
Hydrology
Truckee, California
Sagehen Creek
A Long-Term Micrometeorological and Hydrological Dataset Across an Elevation Gradient in Sagehen Creek, Sierra Nevada, California
info:eu-repo/semantics/other
oai:zenodo.org:1420497
2020-01-25T07:25:22Z
software
user-earthsystems
Hermoso de Mendoza, Ignacio
2018-09-17
<p>Modified CLM4.5 files to change the bottom heat flux from 0 to 0.06 W/m<sup>2</sup>, and add 24 bedrock layers of thickness 12.5 m at the bottom of the land column. The number of layers and the bottom heat flux can be changed to other values by modifying the files</p>
https://doi.org/10.5281/zenodo.1420497
oai:zenodo.org:1420497
eng
Zenodo
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.1420496
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
CLM4.5
Bottom boundary depth
Bottom heat flux
Lower boundary conditions improvement in CLM4.5
info:eu-repo/semantics/other
oai:zenodo.org:2295436
2020-01-20T14:13:31Z
user-earthsystems
Polina Lemenkova
2015-04-06
<p>Calculation of vegetation indices, especially Normalized Difference Vegetation Index (NDVI), has become one of the most successful, popular and traditional attempts in biogeographical research methods, because NDVI has certain advantages over other vegetation indices or band combinations. The results of calculations of vegetation indices for studies of land cover types are being repeatedly reported in various papers [1], [2], [3], [4]. Thus, NDVI is less depending on soil properties of the research area as well as to the daytime illumination comparing to simple red-infrared bands combination [5]. NDVI is well adjusted specially for the analysis of vegetation properties, which can be indirectly interpreted from the objects colors, as shown on the raster image. However, the correlation of the results received from the satellite spectral signals may not necessarily precisely correlate with real data on biomass and vegetation quality which is caused by the local climatic settings and biogeochemical background of the research area.</p>
<p>To model the NDVI I used Map Calculation tool in command line of the Raster Operations menu in ILWIS GIS, which enables to perform spatial analysis and modeling by combination of queries, arithmetic expressions and overlays of selected raster images. The calculation of the NDVI index is read into the ILWIS spatial analysis menu using following equation: NDVI = (Band4 – Band3) / (Band4 + Band3), where Band 4 is DN values of spectral reflectance in NIR (near infra-red) and Band 3 is DN values of spectral reflectance in VIS. The NDVI was calculated automatically using arguments of images: VegIndex = NDVI (Band3, Band4). Two Landsat bands have been used: Band4, containing red reflectance and Band3 with infra-red reflectance: VegIndex=NDVI(TM_3,TM_4). Other Landsat scenes were classified individually using the same method scheme in ILWIS GIS.</p>
<p>The resulting images shows distribution of the vegetation over the Bovanenkovo region within three (3) years: 1988, 2001 and 2011 (Fig.2). The results for the year 2001 show that vegetation has very moderate overall index, reaching value 0,500 as a maximal. The maximal NDVI values in year 2011 are 0.49, while in 1988 it was 0.76, which shows the decrease in the biomass values during the past two decades. The satellite-based monitoring of the northern ecosystems is important tool for detection of the environmental changes. This research presented ILWIS GIS based image processing of Landsat time series covering Yamal area. The results show decrease in overall NDVI values for the study area since 1988 to 2011, which can be caused by the environmental change and anthropogenic factors. The calculated NDVI indicated biomass and can be also used as indicator of “greenness” of the vegetation.</p>
P. Lemenkova. "Analysis of Landsat NDVI time series for detecting degradation of vegetation". In: Geoecology and Sustainable Use of Mineral Resources. From Science to Practice. Proceedings of 3rd International Conference of Young Scientists (National Research University 'Belgorod State University' (BelSU), Apr. 6–10, 2015). Ed. by A. N. Petin, P. V. Goleusov, and E. I. Makaseeva. Belgorod, Russia: BelSU Press, 2015, pp. 11–13. isbn: 978-5-98242-210-1. doi: 10.6084/m9.figshare.7211795.v1.
https://doi.org/10.6084/m9.figshare.7211795.v1
oai:zenodo.org:2295436
Zenodo
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Geoecology and Sustainable Use of Mineral Resources. From Science to Practice, Belgorod, Russia, Apr. 6–10, 2015
NDVI
Landsat TM
image classification
raster segmentation
GIS
remote sensing
image processing
image analysis
Analysis of Landsat NDVI time series for detecting degradation of vegetation
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:2185090
2020-01-20T12:59:56Z
user-earthsystems
Lemenkova Polina
2018-12-11
<p>The study area is located in Central Europe and focusing on Mecsek Hills, a low mountain range in the south western part of Hungary. The region of central Europe includes complex mis of elements from mediterranean and continental climate, since the area is located in transitional zone of sub-atlantic and sub-mediterranean climate types. Mecsek Hills is a unique region of the Hungarian environment. Its central European location specifies distribution of diverse landscape types, formed under conditions of transitional climatic settings, mixed from sub-atlantic to sub-mediterranean. Current work demonstrated analysis of climate factors affecting ecological settings of Mecsek Hulls, and local landscapes visualized by means of ILWIS GIS and remote sensing data (Landsat TM). The results consist in recognized distribution of land use patterns. ILWIS GIS is a convenient open source GIS, useful for spatial analysis and land use monitoring. Clustering method is useful for ecological mapping, since it enables objective identification of the land types in regions characterized by high land heterogeneity and complex structure, such as agricultural fields mixed with natural land cover types. The experience of Landsat TM imagery processing by means of ILWIS GIS, described in the current work, is a contribution towards agricultural mapping.</p>
Vol. 2. GrGU im. Ja. Kupaly: pp. 134–136
https://doi.org/10.6084/m9.figshare.7211993
oai:zenodo.org:2185090
Zenodo
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Proceedings of 8th International Conference 'Current Problems of Ecology. Ecological Monitoring and Management of Nature Protection', Belarus, Grodno, 24–26 October 2012
land cover changes
land cover types
image processing
image classification
Landsat TM
geospatial analysis
GIS mapping
Impacts of Climate Change on Landscapes in Central Europe, Hungary
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:51493
2020-01-20T14:51:17Z
user-earthsystems
Nevison, C. D.
Manizza, M.
Keeling, R. F.
Stephens, B. B.
Bent, J. D.
Dunne, J.
Ilyina, Tatiana
Long, M.
Resplandy, L.
Tjiputra, J.
Yukimoto, S.
2016-03-05
<p>Observed seasonal cycles in atmospheric potential oxygen (APO ~ O<sub>2</sub> + 1.1 CO<sub>2</sub>) were used to evaluate eight ocean biogeochemistry models from the Coupled Model Intercomparison Project (CMIP5). Model APO seasonal cycles were computed from the CMIP5 air-sea O<sub>2</sub> and CO<sub>2</sub> fluxes and compared to observations at three Southern Hemisphere monitoring sites. Four of the models captured either the observed APO seasonal amplitude or phasing relatively well, while the other four did not. Many models had an unrealistic seasonal phasing or amplitude of the CO<sub>2</sub> flux, which in turn influenced APO. By 2100 under RCP8.5, the models projected little change in the O<sub>2</sub> component of APO but large changes in the seasonality of the CO<sub>2</sub> component associated with ocean acidification. The models with poorer performance on present-day APO tended to project larger net carbon uptake in the Southern Ocean, both today and in 2100.</p>
https://doi.org/10.1002/2015GL067584
oai:zenodo.org:51493
Zenodo
http://onlinelibrary.wiley.com/doi/10.1002/2015GL067584/full
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Evaluating CMIP5 ocean biogeochemistry and Southern Ocean carbon uptake using atmospheric potential oxygen: Present-day performance and future projection
info:eu-repo/semantics/article
oai:zenodo.org:3607386
2021-12-05T13:48:42Z
user-earthsystems
user-eu
Knaust, Dirk
Dorador, J.
Rodríguez-Tovar, F.J.
2019-12-05
<p>Chalk reservoirs are commonly modelled as dual-porosity systems, in which a very porous but low permeable matrix is intersected by highly permeable vugs and fractures from which oil and gas can be produced. The Gullfaks Field in the Norwegian North Sea contains such a reservoir, which is producing from Maastrichtian chalk in addition to the conventional Triassic and Jurassic siliciclastic reservoirs. However, in comparison to the prolific chalk fields in the southern North Sea (e.g. Ekofisk, Valhall), chalk reservoirs in the northern part (e.g. Oseberg and Gullfaks fields) experience challenged production due to reservoir presence and quality related to depositional facies and structural conditions. Analyses of cores from three wells in the Maastrichtian Shetland Group of the Gullfaks Field reveal that this interval is completely bioturbated during several stages, e.g. mottling with diffuse bioturbated texture in an early softground stage that became subsequently overprinted by more discrete burrows with active and passive fill and different rock properties during the stiffground and firmground stages of the ooze. A rich and moderately diverse trace-fossil assemblage consists of abundant Zoophycos, common Chondrites, Taenidium, Thalassinoides and Virgaichnus, and rare Nereites, Planolites, Spirophyton and Teichichnus. Ichnological features allow the differentiation of five recurrent ichnofabrics (Thalassinoides, Zoophycos, Chondrites, Nereites and Zoophycos-Taenidium ichnofabrics) with variable influence on porosity and permeability. The Thalassinoides ichnofabric in chalk has the highest impact on improving reservoir quality, whereas Zoophycos and partly Chondrites ichnofabrics, in marly chalk and chalky marlstone respectively, contribute to creating potential reservoir zones if burrow density is high enough. Thin-section analysis of the different ichnofabrics illustrates the negative or positive effect of burrows on porosity distribution, whereas microCT imaging reveals an intriguing system of partly open micro-burrows (e.g. Virgaichnus) within the matrix, which serves as source for porosity. This burrow porosity provides a connection in the matrix that hosts open vugs and fractures, thus improving oil production.</p>
https://doi.org/10.1016/j.marpetgeo.2019.104158
oai:zenodo.org:3607386
eng
Zenodo
https://zenodo.org/communities/eu
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Burrowed matrix powering dual porosity systems – A case study from the Maastrichtian chalk of the Gullfaks Field, Norwegian North Sea
info:eu-repo/semantics/article
oai:zenodo.org:2182237
2020-01-20T12:04:16Z
user-spacephysics
user-earthsystems
Lemenkova Polina
2016-04-11
<p>Current research demonstrated effective data management for environmental research. So far, the data were stored by individual researchers responsible for their own projects. Now the data are collected together in a very structured system. Thus, it is possible to add all further information (other relevant data) into this database systematically and to use them for the thematic research. The necessary amendments or additions of the information can be done as new data from the field expeditions become available. The data of both terrestrial and acquatic ecosystems of Finland with the key information of fluxes measurements of chemical elements (CO2, N2O, CH4) are now collected in one main Table Measurements.xls with a separate catalogue of all this data: Metadata_Finland.xls containing essencial information and site codes. The Database can now be used for environmental analysis, e.g. detecting changes in the state of the ecosystems, predicting their behavior in the future. Therefore, it is now possible to make the environmental prognosis of the Finnish ecosystems, to analyze their conditions, behavior and sustainability. During the research the software ArcGIS 9.1 (including its cartographic module ArcMap and the ArcCatalogue) and Microsoft products (Word, Excel and Access) were used.</p>
Materials of the 5th International Student Forum (Al-Farabi Kazakh National University). Ed. by V. G. Salnikov. Kazakhstan, Almaty: Al-Farabi KNU Press, 2016, pp. 349–353. isbn: 978-601-04-1958-2
https://doi.org/10.6084/m9.figshare.7210238
oai:zenodo.org:2182237
eng
Zenodo
https://zenodo.org/communities/earthsystems
https://zenodo.org/communities/spacephysics
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
3rd International Farabi Readings. Green Bridge Through Generations, Kazakhstan, Almaty, 11-12 April 2016
data managment
data analysis
data structure
ArcGIS
environmental analysis
Linking Data Between the Worksheets and GIS Databases for Effective Man- agement of the Environmental Projects
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:2159323
2020-01-20T12:51:33Z
user-spacephysics
user-earthsystems
Lemenkova Polina
2015-12-26
<p>The paper describes the advantages in the advanced tools in bathymetric mapping. The rapid development of the geographic information industry and digital GIS raises urgent question of the use of competitive bathymetric software: precise, with automated operations and efficient to use. The paper reports the experience of using such software: echosounder system Hydrosweep DS for smart, i.e. highly automated mapping and data capture by the remote sensing techniques. The use of the deep-water acoustic complex allows to carry out high-precision measurements and minimize errors associated with the human factor by the high-level automation of shooting.</p>
Ed. by A. V. Nikolaenko.. issn: 2074-0530. url: https://elibrary.ru/item.asp?id=25449856
https://doi.org/10.6084/m9.figshare.7434185
oai:zenodo.org:2159323
rus
Zenodo
https://zenodo.org/communities/earthsystems
https://zenodo.org/communities/spacephysics
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Izvestiya MGTU MAMI: Economics and Management. Social and Human Sciences, 5(4), 23–27, (2015-12-26)
Bathymetry
Mapping
GIS
Hydrography
Smart Seafloor Mapping in Real Time Regime Using Deep-Sea Multibeam Echosounder Hydrosweep DS
info:eu-repo/semantics/article
oai:zenodo.org:2145302
2020-01-20T15:34:18Z
user-naclim
user-spacephysics
user-earthsystems
Lemenkova Polina
2018-11-04
<p>Mariana trench is the deepest place on the Earth. It crosses four tectonic plates of the Pacific Ocean: Mariana, Caroline, Pacific and Philippine. The formation of the trench is caused by the complex interconnection of various environmental factors. The aim of this study was to describe and characterize various impact factors affecting formation of the Mariana trench geomorphology and continental margin environments using R programming language and mathematical algorithms of correlation methods written on R code. To record the system of geological, tectonic, geographic, oceanological and bathymetric features affecting Mariana trench, a combination of statistical methods, GIS and R programming codes were applied. The questions answered are as follows: which factors are the most influencing for the Mariana trench morphology, and to what extend do they affect its development? Is sedimental thickness of the ocean trench basement more important factors for the trench formation comparing to the steepness slope angle and aspect degree? Three methods of computing were tested: Pearson correlation, Spearman correlation, Kendall correlation, numerical correlogram, correlation matrix and cross-correlatios to analyze environmental impact factors. The correlogram matrices are computed and visualized by R scripting libraries. Complex usage of programming tools, mathematical statistics and geospatial analysis enabled to get a differentiated understandings of the hadal environments of the Mariana trench. The results revealed following three types of factors having the highest score: geometric (tg° slope angle), geologic (sedimental thickness) and tectonic structure. The results furthermore indicated that tectonic plates, sedimental thickness of the trench basement and igneous volcanic areas causing earthquakes play the most essential role in the geomorphology of the trench.</p>
Ed. by M. Panaitescu and F. Memet. eISSN: 1884-6116, issn: 1844-6116. arXiv: 1812.01099 [physics.geo-ph]. url: http://cmu-edu.eu/jmte
https://doi.org/10.6084/m9.figshare.7434167
oai:zenodo.org:2145302
https://doi.org/10.6084/m9.figshare.7434167
eng
Zenodo
https://arxiv.org/abs/arXiv:1812.01099
http://cmu-edu.eu/jmte
issn:1844-6116
https://d-nb.info/gnd/1884-6116
https://zenodo.org/communities/naclim
https://zenodo.org/communities/earthsystems
https://zenodo.org/communities/spacephysics
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Journal of Marine Technology and Environment, 2, 35–42, (2018-11-04)
R
programming
statistics
factor analysis
Mariana trench
R scripting libraries for comparative analysis of the correlation methods to identify factors affecting Mariana Trench formation
info:eu-repo/semantics/article
oai:zenodo.org:2159165
2020-01-20T13:43:02Z
user-jeees
user-earthsystems
Suetova Inna
Ushakova Ludmila
Lemenkova Polina
2005-12-01
<p>Methods of GIS mapping of environmental of the Barents and Pechora Seas under the influence of both natural and anthropogenic factors have been devised. For integrated GIS project of the Russian Artic Seas several thematic layers have been created. These layers characterize the natural conditions of the Seas, the information on income of pollutants from different sources, possible ways of their transfer and deposition in bottom sediments. The analysis of the maps of geoecological situation of the Barents and Pechora Seas allows picking out the next geoecological regions: relatively safe, potentially dangerous and of high ecological stress.</p>
Ed. by V. A. Snytko. issn: 1875-3728
https://doi.org/10.6084/m9.figshare.7435535
oai:zenodo.org:2159165
eng
Zenodo
https://zenodo.org/communities/jeees
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Geography and Natural Resources, 4, 138–142, (2005-12-01)
mapping
Barents Sea
GIS
Arctic Ocean
cartography
Pechora Sea
geospatial analysis
geography
GIS mapping of the Barents and Pechora Seas
info:eu-repo/semantics/article
oai:zenodo.org:2295556
2020-01-20T12:04:23Z
user-earthsystems
Polina Lemenkova
2018-12-15
<p>Current paper discusses issues of the environmental problems in the city of Izmir. A third large metropolis of Turkey, Izmir is an industrial city of high importance for the country. It is a key seaport harbor, strategic for the country and the Mediterranean region in general, highly important for the transportation network within the Aegean, Marmara and the Mediterranean Seas. Izmir is also known as an important country’s business and fair trade center, where cross-cultural meetings, Expo exhibitions, international conferences, symposia and workshops being periodically organized. Therefore, the region has intensive anthropogenic activities: well developed transport network, intensive shipping and maritime construction, industrial factories and plants, urban densely populated districts, intensive agricultural cultivation. These factors taken together lead to strong anthropogenic pressure on the environment of Izmir.</p>
<p>The main issues of environmental current situation within the terrestrial ecosystems concern deforestation of precious forests communities, desertification and soils erosion and land degradation in the surroundings. Among others are plant cover and land degradation on Karuburun Peninsula, an important part of Aegean Sea ecosystems, well known in Turkey as on of the major undisturbed sites in western Turkey with precious biodiversity structure, aesthetic landscapes and unique environment. The land degradation is mainly caused by intensive construction of the summer cottages and touristic activities. Recent changes in land use types in selected regions of Turkey were detected using historical land use change analysis using measurements of carbon that indirectly indicate the extent of peatlands within the landscapes. The ecological threats to marine ecosystems include chemical contamination of the Izmir bay by detecting traces of mercury that originate from Gediz River and inactive mining sites (again, in Karaburun Peninsula) and come to shelf waters of the Aegean Sea. Apart from “usual” anthropogenic activities typical for the industrial city and its surroundings, the region is being intensively visited by tourists, both international and Turkish ones. The touristic attractiveness of the Izmir region is explained by its natural environmental settings, favorable climate conditions, scenic landscapes and cultural richness.</p>
<p> </p>
P. Lemenkova. "Assessing and Monitoring Geoecological Status of West Turkish Landscapes for Sustainable Development: Processes, Activities and Problems". In: Geographic Aspects of the Sustainable Development of Regions. Proceedings of the International Research and Practice Conference (Francisk Skorina Gomel State University (GGU), Apr. 23–24, 2015). Vol. 2. Gomel, Belarus: GGU Press, 2015, pp. 78–81. doi: 10.6084/m9.figshare.7434137.
https://doi.org/10.6084/m9.figshare.7434137
oai:zenodo.org:2295556
Zenodo
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Geographic Aspects of the Sustainable Development of Regions, Gomel, Belarus, Apr. 23–24, 2015
marine ecology
coastal environment
Mediterranean Sea
Aegean Sea
ecology
geography
Izmir
Assessing and Monitoring Geoecological Status of West Turkish Landscapes for Sustainable Development: Processes, Activities and Problems
info:eu-repo/semantics/conferencePaper
oai:zenodo.org:160720
2020-01-20T15:31:39Z
user-earthsystems
user-biosyslit
Jaime Bonilla
William Senior
John Bugden
Oliver Zafiriou
Ronald Jones
1993-02-15
<p>Nitrogenous nutrients, dissolved silicate, and salinity were measured in surface waters and shallow<br>
hydrocasts along similar cruise tracks during the spring (dry season) and fall (wet season) of 1988. Both<br>
cruises transected the eastern Caribbean, transited the Gulf of Paria, ran parallel to the Orinoco Delta<br>
and into the main channel of the Orinoco River. Trends in primary productivity were also measured<br>
by daily carbon 14 incubations. In both seasons, samples covered the range from highly oligotrophic<br>
and transparent to highly productive and rich in biogenic and abiogenic particulate matter. Most of the<br>
Orinoco outflow appears to turn N to NW and remains in shallow waters off Venezuela and<br>
surrounding Trinidad, permitting benthic regeneration of river-borne nutrients. However, the role of<br>
the Orinoco and associated low-salinity coastal waters in fertilizing large areas of the eastern<br>
Caribbean basin, as suggested by satellite imagery, can be approximated crudely from the nutrient<br>
composition at Boca de Dragon, which is representative of the nutrient status of these waters as they<br>
flow into deeper Caribbean waters. Additional nutrients may be supplied to the area primarily from<br>
Amazon-derived water entering the Caribbean Basin further north, with some coastal upwelling along<br>
the continental shelf in the dry season.</p>
DOI: 10.1029/92JC02761
JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 98, NO. C2, PAGES 2245-2257, FEBRUARY 15, 1993
https://doi.org/10.5281/zenodo.160720
oai:zenodo.org:160720
Zenodo
https://zenodo.org/communities/biosyslit
https://zenodo.org/communities/earthsystems
https://doi.org/
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
eastern Caribbean, Nitrogenous nutrients, dissolved silicate, Orinoco Delta, Gulf of Paria,primary productivity, Venezuela
Seasonal distribution of nutrients and primary productivity on the eastern continental shelf of Venezuela as influenced by the Orinoco River
info:eu-repo/semantics/article
oai:zenodo.org:2658138
2020-01-24T19:26:03Z
openaire_data
user-earthsystems
Janssens-Maenhout, Greet
Crippa, Monica
Guizzardi, Diego
Muntean, Marilena
Schaaf, Edwin
2019-05-02
<p>The Emissions Database for Global Atmospheric Research (EDGAR) v4.3.2, partim Greenhouse gases compiles anthropogenic emissions data for CO2, CH4 and N2O based on international statistics and emission factors. The version v4.3.2 of the EDGAR emission inventory provides global estimates, broken down to IPCC-relevant source-sector levels, from 1970 (the year of EU’s first Air Quality Directive) to 2012 (the end year of the first commitment period of the Kyoto Protocol (KP)). Strengths of EDGAR v4.3.2 include global geo-coverage (226 countries), continuity in time, and comprehensiveness in activities. Emission sources of the multiple gases include all human activities except the land-use, land-use change and forestry sector and are compiled following a bottom-up and IPCC-compliant approach. The dataset provides in addition to the complete timeseries 1970-2012 also annual and global gridmaps of 0.1 degree by 0.1 degree resolution for each source-sector and each year. For 2010 also 12 monthly gridmaps per source-sector are provided.</p>
https://doi.org/10.5281/zenodo.2658138
oai:zenodo.org:2658138
eng
Zenodo
https://hdl.handle.net/DOI: https://data.europa.eu/doi/10.2904/JRC_DATASET_EDGAR
https://hdl.handle.net/PID: http://data.europa.eu/89h/jrc-edgar-edgar_v432_ghg_timeseries
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.2658137
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Earth System Science Data, (2019-05-02)
emissions, Greenhouse gases, anthropogenic
Emissions Database for Global Atmospheric Research, version v4.3.2 part I Greenhouse gases
info:eu-repo/semantics/other
oai:zenodo.org:8306489
2023-09-02T02:27:17Z
user-climatechange
software
user-earthsystems
Dorheim, Kalyn
Bond-Lamberty, Ben
Hartin, Corinne
Link, Robert
Nicholson, Mat
Pralit, Patel
Pressburger, Leeya
Shiklomanov, Alexey
Vega-Westhoff, Benjamin
Woodard, Dawn
2023-08-31
<p>Consistent Hector version numbering.</p>
If you use this software in your work, please cite it as below.
https://doi.org/10.5281/zenodo.8306489
oai:zenodo.org:8306489
Zenodo
https://github.com/JGCRI/hector/tree/v3.1.1
https://zenodo.org/communities/climatechange
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.821645
info:eu-repo/semantics/openAccess
Other (Open)
Hector a simple carbon-climate model
info:eu-repo/semantics/other
oai:zenodo.org:7617326
2023-08-31T19:53:07Z
user-climatechange
software
user-earthsystems
Dorheim, Kalyn
Bond-Lamberty, Ben
Hartin, Corinne
Link, Robert
Nicholson, Mat
Pralit, Patel
Pressburger, Leeya
Shiklomanov, Alexey
Vega-Westhoff, Benjamin
Woodard, Dawn
2023-02-06
<p>Minor update to the citation file for the v3 release.</p>
If you use this software in your work, please cite it as below.
https://doi.org/10.5281/zenodo.7617326
oai:zenodo.org:7617326
Zenodo
https://github.com/JGCRI/hector/tree/v3.0.1
https://zenodo.org/communities/climatechange
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.821645
info:eu-repo/semantics/openAccess
Other (Open)
Hector a simple carbon-climate model
info:eu-repo/semantics/other
oai:zenodo.org:1194360
2023-08-31T19:53:06Z
user-climatechange
software
user-earthsystems
Ben Bond-Lamberty
Corinne Hartin
Robert Link
bvegawe
Pralit Patel
Sven Willner
Robert Gieseke
Cary Lynch
2018-03-08
<ul>
<li>Incorporated 1-D diffusive ocean heat model as new temperature component (DOECLIM) (PR #206)</li>
<li>Bugfix: double counting halocarbon radiative forcing (PR #201)</li>
<li>Bugfix: re-enabled CO2 concentration constraint (PR #163) </li>
<li>Various changes to internals to support calling Hector from external code like pyhector</li>
<li>Component loggers are now optional (PR #218)</li>
<li>Renamed anthro emissions to ffi emisisons (fossil fuel industrial) (PR #116)</li>
</ul>
https://doi.org/10.5281/zenodo.1194360
oai:zenodo.org:1194360
Zenodo
https://github.com/JGCRI/hector/tree/v2.0.0
https://zenodo.org/communities/climatechange
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.821645
info:eu-repo/semantics/openAccess
Other (Open)
JGCRI/hector: Hector version 2.0.0
info:eu-repo/semantics/other
oai:zenodo.org:821646
2023-08-31T19:53:06Z
user-climatechange
software
user-earthsystems
Corinne Hartin
Ben Bond-Lamberty
Robert Link
Pralit Patel
2017-06-30
<p>Changes:</p>
<ul>
<li>Fix bug in CO<sub>2</sub> constraint capability.</li>
<li>GSL libraries no longer required.</li>
</ul>
https://doi.org/10.5281/zenodo.821646
oai:zenodo.org:821646
Zenodo
https://github.com/JGCRI/hector/tree/v1.1.4
https://zenodo.org/communities/climatechange
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.821645
info:eu-repo/semantics/openAccess
GNU General Public License v2.0 only
https://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
JGCRI/hector: Hector version 1.1.4
info:eu-repo/semantics/other
oai:zenodo.org:3357085
2020-01-20T17:20:13Z
user-earthsystems
Pelech, Ondrej
Kušnirák, Dávid
Bošanský, Marián
Dostál, Ivan
Putiška, René
Hók, Jozef
2017-11-07
<p>The Tatricum crystalline basement in the northern Považský Inovec Mts. contains several narrow tectonic slices with different rock composition. Some of them composed of the Upper Cretaceous mass flow deposits (the Horné Belice Group) are considered unique within the framework of the Internal Western Carpathians and particularly within the Tatricum. Tectonic interpretation of their structural position is longer a matter of debate. Contrasting resistivity properties of the Hercynian mica schists and the Upper Cretaceous sandstones and shales were confirmed by the parametric geophysical measurements. The Hranty section, the structurally highest and most internal Upper Cretaceous tectonic slice was investigated by the electric resistivity tomography. Two<br>
longitudinal and two transverse resistivity profiles were measured and combined into a 3D image which suggests that the low resistivity Upper Cretaceous rocks form relatively shallow and flat lying structures folded and deformed between the crystalline basement slices.<br>
</p>
https://doi.org/10.1515/congeo-2017-0002
oai:zenodo.org:3357085
eng
Zenodo
https://zenodo.org/communities/earthsystems
info:eu-repo/semantics/openAccess
Creative Commons Attribution Non Commercial No Derivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
Contributions to Geophysics and Geodesy, 47(1), 23–38, (2017-11-07)
Applied geophysics
Electrical resistivity tomography
Horné Belice Group
Upper Cretaceous
Považský Inovec Mts
Western Carpathians
The resistivity image of the Upper Cretaceous Horné Belice Group: a case study from the Hranty section (Považský Inovec Mts., Western Carpathians)
info:eu-repo/semantics/article
oai:zenodo.org:7951070
2023-08-31T19:53:07Z
user-climatechange
software
user-earthsystems
Dorheim, Kalyn
Bond-Lamberty, Ben
Hartin, Corinne
Link, Robert
Nicholson, Mat
Pralit, Patel
Pressburger, Leeya
Shiklomanov, Alexey
Vega-Westhoff, Benjamin
Woodard, Dawn
2023-05-19
<p>Add global mean surface temperature as a Hector output.</p>
If you use this software in your work, please cite it as below.
https://doi.org/10.5281/zenodo.7951070
oai:zenodo.org:7951070
Zenodo
https://github.com/JGCRI/hector/tree/v3.1.0
https://zenodo.org/communities/climatechange
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.821645
info:eu-repo/semantics/openAccess
Other (Open)
Hector a simple carbon-climate model
info:eu-repo/semantics/other
oai:zenodo.org:2605439
2023-08-31T19:53:06Z
user-climatechange
software
user-earthsystems
Robert Link
Ben Bond-Lamberty
Corinne Hartin
Alexey Shiklomanov
bvegawe
Pralit Patel
Sven Willner
Robert Gieseke
Kalyn R. Dorheim
Cary Lynch
2019-03-25
<ul>
<li>Add a new parameter: VOLCANIC_SCALE. This parameter adjusts the
strength of the response to volcanic forcing. (PR #291)</li>
<li>Add getname function to return the name of a Hector core.</li>
</ul>
https://doi.org/10.5281/zenodo.2605439
oai:zenodo.org:2605439
Zenodo
https://github.com/JGCRI/hector/tree/v2.2.0
https://zenodo.org/communities/climatechange
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.821645
info:eu-repo/semantics/openAccess
Other (Open)
JGCRI/hector: Hector version 2.2.0
info:eu-repo/semantics/other
oai:zenodo.org:3530859
2020-03-02T15:20:56Z
user-earthsystems
Abouali, Mohammad
Banihirwe, Anderson
Long, Matthew
2019-11-06
<pre>Manages Time Axis and different operations related to time. Main focus is on Earth Science Data.
The main goal of this package is to provide a unified mechanism to convert/transform date from
time axis to another. For example, if your original data set is on a daily basis, and you want
to convert it to weekly average, `TimeAxis` package would be handy. This package follows the
same concept as in ESMF and SCRIPS. Although these two packages are for spatial coordinate
interpolation, `TimeAxis`, obviously, deals with the time dimension of the data. It calculates
a weight matrix stored as sparse matrix. Once you have the weights, any data field could be
converted from the original time axis to the provided destination time axis.</pre>
https://doi.org/10.5281/zenodo.3530859
oai:zenodo.org:3530859
Zenodo
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.3530858
info:eu-repo/semantics/openAccess
Apple Public Source License 2.0
http://www.opensource.apple.com/license/apsl/
Time Axis
info:eu-repo/semantics/article
oai:zenodo.org:3685839
2020-03-02T15:20:42Z
openaire_data
user-earthsystems
Nestor Cerpa
Nestor G. Cerpa
Diane Arcay
2020-02-24
<p>Dataset associated with the paper entitled "Overriding-plate velocity control on surface topography in 2-d models of subduction zones" by Cerpa and Arcay, G3, 2020.</p>
<p>The repository contains : </p>
<p>- Data and model output files used for generating the figures in the manuscript </p>
<p>- Python scripts to generate the figures in the main text of the manuscript</p>
<p> </p>
<p>Please, contact N. Cerpa (nestor.cerpa@gm.univ-montp2.fr) for additional information</p>
<p> </p>
https://doi.org/10.5281/zenodo.3685839
oai:zenodo.org:3685839
eng
Zenodo
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.3685838
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Geochemistry, Geophysics, Geosystems, (2020-02-24)
Geodynamics
Subduction dynamics
Overriding-plate velocity control on surface topography in 2-d models of subduction zones
info:eu-repo/semantics/other
oai:zenodo.org:3737928
2021-12-16T23:39:43Z
software
user-earthsystems
Dirk Barbi
Paul Gierz
Nadine Wieters
2020-04-02
<p>First release for zenodo to get doi</p>
https://doi.org/10.5281/zenodo.3737928
oai:zenodo.org:3737928
Zenodo
https://github.com/esm-tools/esm_tools/tree/v3.1.6
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.3737927
info:eu-repo/semantics/openAccess
esm-tools/esm_tools: Zenodo release
info:eu-repo/semantics/other
oai:zenodo.org:2586040
2020-02-17T22:49:08Z
user-climatechange
openaire_data
user-earthsystems
Link, Robert
Snyder, Abigail
Lynch, Cary
Hartin, Corinne
Kravitz, Ben
Bond-Lamberty, Ben
2018-02-22
<p>This is an archive of the raw data and analysis source code for the paper "Fldgen v1.0: An Emulator with Internal Variability and Space-Time Correlation for Earth System Models". The archive contains:</p>
<ul>
<li><strong>devel.Rmd : </strong>Source code for the worksheet that contains the early development and figures for the paper.</li>
<li><strong>devel.html</strong> : HTML rendering of devel.Rmd</li>
<li><strong>lg-ensemble-stats.Rmd </strong>: Source code for the worksheet that contains the statistical analysis described in the paper.</li>
<li><strong>lg-ensemble-stats.html</strong> : HTML rendering of lg-ensemble-stats.Rmd</li>
<li><strong>cc-analysis.Rmd </strong>: Analysis of the compromise conjecture raised by some readers of the paper</li>
<li><strong>cc-analysis.nb.html</strong> : HTML rendering of cc-analysis.Rmd</li>
<li><strong>data.tar.bz2 </strong>: Input data for the analyses above.</li>
</ul>
<p>The source code in this archive is written in R and requires the R runtime environment. It also uses the fldgen package, version 1.0.0, which is available at <a href="https://github.com/JGCRI/fldgen">https://github.com/JGCRI/fldgen</a></p>
<p> </p>
This version adds to the previous version additional analysis spawned by the discussion and review.
https://doi.org/10.5281/zenodo.2586040
oai:zenodo.org:2586040
eng
Zenodo
https://zenodo.org/communities/climatechange
https://zenodo.org/communities/earthsystems
https://doi.org/10.5281/zenodo.1183640
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Data and analysis for "Fldgen v1.0: An Emulator with Internal Variability and Space-Time Correlation for Earth System Models"
info:eu-repo/semantics/other