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Herein we present Sim2DSphere, an open-source software tool that offers a complete environment for mapping key parameters characterizing land surface interactions (LSIs) at varying spatiotemporal resolution using standard and freely available geospatial data. The tool has been developed in Java programming language as an add-on module to the SimSphere Soil Vegetation Atmosphere Transfer model. Its use is demonstrated herein using Earth Observation (EO) data products from ASTER satellite, acquired over a European site belonging to FLUXNET global in-situ monitoring network. Results obtained in overall confirmed Sim2DSphere's ability to replicate the diurnal spatiotemporal variability of key LSIs parameters at the ecosystem and environmental conditions in which it was tested. The presented herein tool can be applied by the scientific community, managers and policy-makers as a form of acquiring …