A Spatially Downscaled TROPOMI SIF Product at 0.005 Degree Resolution in China during 2019-2020

To improve the spatial resolutions of TROPOMI SIF, a 0.005-degree SIF product during 2019~2020 in China was generated based on a proposed downscaling strategy correcting the predicted bias with Random Forest (RF) model by TROPOMI SIF, MODIS reflectance, and ERA5 reanalysis datasets. This bias-corrected downscaled SIF product (namely BCSIF) has been validated with the original TROPOMI SIF and the long-term tower-based SIF, also evaluated by correlating with the GPP data, which verified its reliability and applicability for GPP monitoring.