The global distribution mean V maximum value during the growing season is obtained from the Gome-2 SIF, MERIS LCC, TROPOMI SIF as shown in Figure 1, and the average temperature during the growing season is calculated based on the Ecological Optimal Theory (EOT) using V maximum value.

    To explore the potential impacts of farmland and grassland on irrigation V maximum values, we used a global irrigation map（ https://www.fao.org/aquastat/en/geospatial-information/global-maps-irrigated-areas/latest-version/ The maximum value of V between TROPOMI SIF+LCC with a resolution of 0.5 ∘ and the relative difference value (Δ V maximum), and the maximum value of V based on EOT, i.e. (TROPOMI-EOT)/EOT.

    The data assimilation method was first applied to GOME-2 SIF data and generated a map series resolution of the maximum value of global daily V from 2007 to 2017 at 36 kilometers (He et al., 2019). In this study, this method was improved and applied to TROPOMI SIF data to generate a global daily V-maximum map with a resolution of 0.1 ∘ (≈ 10 km) in 2019.

    The two RSV maximum values used in this study are derived from separate satellite observations independent of SIF and LCC, but exhibit close consistency in modeling magnitude and spatial patterns with the maximum value of V These remote sensing V-maximum products（ https://doi.org/10.5281/zenodo.6466968 ） The spatial pattern, which is highly consistent with the spatial pattern and ecological optimal theory calculation on a large scale, utilizes meteorological variables to provide support for the use of this theory in future climate based land ecosystem function prediction model scenarios.