A 1 km monthly dataset of historical and future climate changes over China.

ABSTRACT: High-resolution climate data are important for understanding the impacts of climate change on multiple sectors worldwide. In this study, based on the latest released meteorological records during 1991-2020 and the recently updated general circulation models (GCMs), we established a 30-year averaged 0.01° (≈1 km) dataset of 5 basic climate variables and 23 bioclimatic variables, using ANUSPLIN software, delta correction (DC) downscaling, and cubic spline resampling method. Each variable contained monthly gridded historical data during 1991-2020 and bias-corrected future data over three periods (2021-2040, 2041-2070, 2071-2100), three scenarios (SSP1-2.6, SSP2-4.5, and SSP5-8.5) and 10 GCMs (including an ensemble model). The historical interpolations generated by the ANUSPLIIN software showe

SUBMITTER: Hu X 

PROVIDER: S-EPMC11906598 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature