A new high-resolution multi-drought-index dataset for mainland China

Abstract. Drought indices are crucial for assessing and managing water scarcity and agricultural risks; however, the lack of a unified data foundation in existing datasets leads to inconsistencies that challenge the comparability of drought indices. This study is dedicated to creating CHM_Drought, an innovative and comprehensive long-term meteorological drought dataset with a spatial resolution of 0.1° and with data collected from 1961 to 2022 in mainland China. It features six pivotal meteorological drought indices: the standardized precipitation index (SPI), standardized precipitation evapotranspiration index (SPEI), evaporative demand drought index (EDDI), Palmer drought severity index (PDSI),…

• NN
  National Natural Science Foundation of China

  Award: U24A20572
• CM
  China Meteorological Administration
• NK
  National Key Research and Development Program of China

  Award: 2024YFF0809301