HiMIC-Monthly: A 1 km high-resolution atmospheric moisture index collection over China, 2003-2020.

ABSTRACT: Near-surface atmospheric moisture is a key environmental and hydro-climatic variable that has significant implications for the natural and human systems. However, high-resolution moisture data are severely lacking for fine-scale studies. Here, we develop the first 1 km high spatial resolution dataset of monthly moisture index collection in China (HiMIC-Monthly) over a long period of 2003~2020. HiMIC-Monthly is generated by the light gradient boosting machine algorithm (LightGBM) based on observations at 2,419 weather stations and multiple covariates, including land surface temperature, vapor pressure, land cover, impervious surface proportion, population density, and topography. This collection includes six commonly used moisture indices, enabling fine-scale assessment of moisture conditio

SUBMITTER: Zhang H 

PROVIDER: S-EPMC11043353 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature