Tummon, F
Day, J
Svensson, G
2018-08-08
<p>The <a href="https://eos.org/project-updates/understanding-causes-and-effects-of-rapid-warming-in-the-arctic">polar prediction problem</a> is inherently multidisciplinary and requires cooperation across a wide community. Thus, an international group of agencies specifically designed a 10-day training course to bring together a wide group of students and lecturers to cover important topics related to polar prediction. Topics included satellite and conventional observation techniques; numerical modeling of the polar atmosphere, sea ice, and ocean; and data assimilation and <a href="https://eos.org/project-updates/better-tools-to-build-better-climate-models">model evaluation</a>. The course included an innovative combination of theory lectures, practical exercises, and fieldwork, as well as a dedicated science communication program, each of which forms a crucial pillar of the prediction problem.</p>
https://doi.org/10.1029/2018EO103475
oai:zenodo.org:1341815
Zenodo
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https://zenodo.org/communities/eu
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
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Training EarlyCareer Polar Weather and Climate Researchers
info:eu-repo/semantics/report