Back to Search
Start Over
HiMIC-Monthly: A 1 km high-resolution atmospheric moisture index collection over China, 2003–2020.
- Source :
- Scientific Data; 4/24/2024, Vol. 11 Issue 1, p1-14, 14p
- Publication Year :
- 2024
-
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 conditions from different perspectives. Results show that the HiMIC-Monthly dataset has a good performance, with R<superscript>2</superscript> values for all six moisture indices exceeding 0.96 and root mean square error and mean absolute error values within a reasonable range. The dataset exhibits high consistency with in situ observations over various spatial and temporal regimes, demonstrating broad applicability and strong reliability. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20524463
- Volume :
- 11
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Scientific Data
- Publication Type :
- Academic Journal
- Accession number :
- 176842670
- Full Text :
- https://doi.org/10.1038/s41597-024-03230-2