Litcius/Paper detail

Deep learning-aided temporal downscaling of GRACE-derived terrestrial water storage anomalies across the Contiguous United States

Metehan Uz, Orhan Akyılmaz, C. K. Shum

2024Journal of Hydrology13 citationsDOI

Topics & Concepts

DownscalingClimatologyDeep waterPhysical geographyEnvironmental scienceGeologyGeographyOceanographyClimate changeGeophysics and Gravity MeasurementsGeophysical and Geoelectrical MethodsClimate variability and models
Deep learning-aided temporal downscaling of GRACE-derived terrestrial water storage anomalies across the Contiguous United States | Litcius