Downscaling climate with temporal correlation and spatial dependencies
Global Circulation Models have been improving significantly along with the computational power needed to run those models. Earths System Models (ESMs) are the current state-of-the-art. They expand on the coupled Atmosphere-Ocean General Circulation Models (AOGCMs) to include a representation of various biogeochemical cycles such as those involved in ...
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A super-resolution network based on dual aggregate transformer for climate downscaling. [PDF]
Sci RepLi M, Chen Y, Song Z.
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SMCR: A first satellite-derived all-weather daily/1-km Soil Moisture Climatological Record (1980-2023). [PDF]
Sci DataZhai S +8 more
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Limitation of super-resolution machine learning approach to precipitation downscaling. [PDF]
Sci RepReddy PJ +3 more
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Climate change projections using CMIP6 GCMs and downscaling approaches in the Upper Wabe Shebele Basin, Ethiopia. [PDF]
Sci RepBeshir S, Moges A, Dananto M.
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Downscaling local distribution of cattle over Guadeloupe archipelago: An adapted method for disaggregating census data. [PDF]
PLoS OneDufleit V +4 more
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Fusion of multi-source precipitation records via coordinate-based generative models. [PDF]
Nat CommunSun S +7 more
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Integrating double techniques of statistical downscaling and bias correction to reduce bias in projections trends of future climate datasets. [PDF]
Sci RepAlasqah A +5 more
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A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation. [PDF]
NPJ Clim Atmos SciSchmidt J +4 more
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Downscaled global 60-meter resolution estimates of irrigation water sources (2000-2015). [PDF]
Sci DataHung F +3 more
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