Enhancing Surface PM2.5 Air Quality Estimates in GEOS Using CATS Lidar Data
This study introduces a 1-D ensemble-based variational technique (1-D EnsVar) to fuse 1064-nm backscatter lidar data from NASA's CATS with GEOS model priors, significantly …
This study introduces a 1-D ensemble-based variational technique (1-D EnsVar) to fuse 1064-nm backscatter lidar data from NASA's CATS with GEOS model priors, significantly …
This study introduces the first observation-based climate radiative kernels derived directly from vertical active sensor tracks (CloudSat/CALIPSO), bypassing traditional GCM …
Utilizing 5 years of spaceborne active sensor data from CloudSat and CALIPSO, this study quantifies the individual global radiative contributions of liquid, ice, and mixed-phase …
By combining active A-Train spaceborne observations (CloudSat/CALIPSO) with CESM1 model simulations, this study quantifies how cloud overlapping structures mask, alter, and …