A simplified representation of polar vortex at monthly scale was revised using a new method, and its daily association with air-sea teleconnections was analyzed to study weather impacts.
Using cutting-edge observations, reanalyses, and climate models, a new study projects the outbreak of temperature extremes over new global areas by 2100.
A new study corrects poor-performing satellite-based rainfall estimates with gauge data and also fills gauge data gaps using well-performing satellite-based rainfall estimates.
A significant increasing trend of turbulence in upper atmosphere over northern Eurasia is attributed to intense anthropogenic activities.
Machine learning is used to retrieve global snowfall occurrence and rate from satellite-based passive microwave sounder observations, trained by snowfall data from a high-quality space borne radar.
A comparative study of urban, semi-urban, and rural sites reveals that the species of atmospheric iron varies depending on location.
Ensemble learning models for estimating past changes of terrestrial water storage from climate are presented and tested in the Pearl River basin, China.