A global hourly gross primary production dataset from 2001 to 2020.

ABSTRACT: Fine-resolution estimation of gross primary production (GPP) is essential for advancing our knowledge of ecosystem carbon cycling. However, most existing global GPP products are constrained by coarse temporal resolutions (typically ≥ 8 days), limiting their capacity to capture short-term variations in ecosystem productivity. This paper presents a global new GPP dataset for 2001-2020, based on a modified radiation scalar two-leaf LUE (RTL-LUE) model. The RTL-LUE GPP dataset is generated at an hourly temporal resolution and a spatial resolution of 0.1°, driven by the hourly climate data from ERA5-land, GLASS leaf area index, MODIS land cover, and NOAA atmospheric CO₂ concentration. During 2001-2020, this dataset provides a slightly lower global total GPP (124.77 PgC/yr) than the 8

SUBMITTER: Wang Y 

PROVIDER: S-EPMC12816656 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature