Himawari-8/AHI hourly clear-sky land surface temperature and emissivity dataset (2019.1-2019.4)
Creators
- 1. Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University
- 2. National Space Science Center, Chinese Academy of Sciences
Description
This is the clear-sky LST and LSE dataset (0.02°, hourly) derived by the iTES algorithm (Zhou and Cheng, 2020) from the Himawari-8 AHI thermal infrared data. A broadband emissivity (BBE, 8-13.5μm) dataset was also produced using the derived AHI narrowband LSEs (Cheng et al. 2013). The in-situ validation results show that the bias and RMSE of the retrieved AHI LST are 0.19 and 2.93 K in the daytime, and −0.43 and 1.95 K in the nighttime, respectively. The bias and RMSE of the retrieved LSE are less than 0.005 and 0.014, respectively, compared with the latest MYD21 LSE. The time period of this dataset is 2016-2021, covering the AHI 0.02° nominal fixed grid (60°N∼60°S, 80°E∼160°W).
This is the LST&E dataset in 2019.01-2019.04
Dataset Characteristics:
- Spatial Coverage: East Asia and Western Pacific regions (60°N∼60°S, 80°E-140°E)
- Temporal Coverage: 2019.01-2019.04
- Spatial Resolution: 0.02 °
- Temporal Resolution: one hour
- Projection: GCS_WGS_1984
- Data Format: NetCDF
Citation (Please cite these papers when using the data):
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Zhou, S., & Cheng, J. (2020). An Improved Temperature and Emissivity Separation Algorithm for the Advanced Himawari Imager. IEEE Transactions on Geoscience and Remote Sensing, 58, 7105-7124
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Cheng, J., et al. (2013). Estimating the Optimal Broadband Emissivity Spectral Range for Calculating Surface Longwave Net Radiation. IEEE Geoscience and Remote Sensing Letters, 10, 401-40
If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).