A machine-learned correction enables an efficient coarse-grid global atmosphere model to better track the weather and time-mean precipitation of an expensive fine-grid ‘digital twin’ reference model.
A machine-learned correction enables an efficient coarse-grid global atmosphere model to better track the weather and time-mean precipitation of an expensive fine-grid ‘digital twin’ reference model.
MOST SHARED
Earth and Space Science
“Termination of Solar Cycles and Correlated Tropospheric Variability”
By Qi Hu, Zihang Han
HIGHLY CITED
Earth and Space Science
“A new digital bathymetric model of the world's oceans”
By Pauline Weatherall et al.
HOT ARTICLE
JGR Solid Earth
“Slip Characteristics of Induced Earthquakes: Insights From the 2015 M w 4.0 Guthrie, Oklahoma Earthquake”
By Colin N. Pennington et al.