Data associated with the publication: Remote sensing-based vegetation and soil moisture constraints reduce irrigation estimation uncertainty
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下载链接：
https://archive.data.jhu.edu/citation?persistentId=doi:10.7281/T1/0EYOMQ
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资源简介：
The datasets include processed monthly ALEXI evapotranspiration (ET) product, the Kullback-Leibler Divergence metrics for surface soil moisture, and monthly output of simulations performed with the Noah-Multiparameterization Land Surface Model v4.0.1 within NASA Land Information System. The simulations are conducted for the period of 2018 at 0.125° spatial resolution forced by the North America Land Data Assimilation System-Phase 2 (NLDAS-2) meteorological forcing fields. Data is provided in NETCDF format including monthly irrigation water amount, greenness vegetation fraction, and ET.
提供机构：
Johns Hopkins Research Data Repository
创建时间：
2022-03-09
