China

<b>A new water resources dataset for China, referred to as ChinaWR, was developed </b><b>using a random forest model based on high-resolution (prefecture-level) data reported in the </b><b>Water Resources Bulletins of China. ChinaWR </b><b>provides1 km and monthly estimates of SWR, GWR, and TWR (i.e., </b><b>total volume of water resources generated by precipitation</b><b>) from 1980 to 202</b><b>A new water resources dataset for China, referred to as ChinaWR, was developed </b><b>using a random forest model based on high-resolution (prefecture-level) data reported in the </b><b>Water Resources Bulletins of China. ChinaWR </b><b>provides1 km and monthly estimates of SWR, GWR, and TWR (i.e., </b><b>total volume of water resources generated by precipitation</b><b>) from 1980 to 202</b><b>A new water resources dataset for China, referred to as ChinaWR, was developed </b><b>using a random forest model based on high-resolution (prefecture-level) data reported in the </b><b>Water Resources Bulletins of China. ChinaWR </b><b>provides1 km and monthly estimates of SWR, GWR, and TWR (i.e., </b><b>total volume of water resources generated by precipitation</b><b>) from 1980 to 202</b>本研究研发得到一款面向中国的新型水资源数据集，命名为ChinaWR。该数据集基于《中国水资源公报》发布的高分辨率（地级市尺度）数据，采用随机森林模型构建而成。ChinaWR可提供1980年至202年的1公里分辨率、月度尺度的SWR、GWR以及TWR（即降水生成的水资源总量）的估算值。本研究研发得到一款面向中国的新型水资源数据集，命名为ChinaWR。该数据集基于《中国水资源公报》发布的高分辨率（地级市尺度）数据，采用随机森林模型构建而成。ChinaWR可提供1980年至202年的1公里分辨率、月度尺度的SWR、GWR以及TWR（即降水生成的水资源总量）的估算值。本研究研发得到一款面向中国的新型水资源数据集，命名为ChinaWR。该数据集基于《中国水资源公报》发布的高分辨率（地级市尺度）数据，采用随机森林模型构建而成。ChinaWR可提供1980年至202年的1公里分辨率、月度尺度的SWR、GWR以及TWR（即降水生成的水资源总量）的估算值。