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ChinaET1km10days: an improved high resolution dataset on terrestrial evapotranspiration across China during 2000-2018

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DataCite Commons2025-05-01 更新2024-07-28 收录
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https://figshare.com/articles/dataset/Improving_terrestrial_evapotranspiration_estimation_across_China_during_2000-2018_with_machine_learning_methods/12278684/5
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资源简介:
We integrate five process-based ET models using machine learning methods to produce ChinaET1km10days. The related manuscripts titled "Improving terrestrial evapotranspiration estimation across China during 2000-2018 with machine learning methods" is under review. The data in distinct Geotiff file are named as ‘GPR_yy_dd_ET.tif’, where ‘yy’ and ‘dd’ denote year, order. The order is from 1 to 36. There are 3 issues per month. Assuming there are N days in a month, the unit of the first 2 issues is mm/10day, and the unit of the third issue is mm/(N-20) day. The scale factor is 0.01.
提供机构:
figshare
创建时间:
2020-10-10
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