CMLR: A mechanistic global 0.05° Gross Primary Production dataset using TROPOMI Solar-induced fluorescence observations

CMLR GPP is a mechanistic global Gross Primary Production dataset using TROPOMI Solar-induced chlorophyll fluorescence observations (TROPOSIF). This dataset provided GPP estimates from May 2018 to December 2021 with a 0.05° spatial resolution at 1-day time step. We modified the mechanistic light response (MLR) model proposed by Gu et al. (2019) to apply it to the canopy-scale, and then generated this dataset. The parameterization of qL (the fraction of open photosystem II reaction centers) in the MLR framework is accomplished using a random forest model. For the continuous global mapping purpose, we further composited the original CMLR GPP using an 8-day moving window and applied a 2D Gaussian function in 3 × 3 moving windows to fill in the gaps. Pixels with filled data were marked using flag = 1 in the quality control layer.