A Dataset of Overshooting Cloud Top from 12-Year CloudSat/CALIOP Joint Observations

A strong convective storm is a disastrous weather system with small spatio-temporal scale. It often occurs suddenly and can cause huge disasters. Thus, it necessary to improve the forecast accuracy of storms. Overshooting cloud top (OT) product updrafts in storms, which penetrate tropopause enter lower stratosphere. OT closely related severe influence water vapor transport material exchange between troposphere Therefore, timely detection help forecasting. In this study, we develop new objective algorithm based on geostationary satellite observations from 2006 2017. The identifying verified by manually comparing radar echo images MODIS 250 m. Then, statistically analyzed long time series. found that events are mainly concentrated equatorial low latitude regions, higher frequency summer. There obvious differences land sea. Additionally, dataset also reveals close connection seasonal shift average precipitation distribution around globe. This study provides scientific basis for determining geographical characteristics explores application operational weather. We hope benefit monitoring