"The RTTOV model in this study was run on computers provided by the University of Wisconsin-Madison Space Science Engineering Center (SSEC). ECMWF is thanked for the operational model analysis data set. The data from AIRS, MTSAT-2, COMS-1, and Himawari-8 imagery were obtained from SSEC's Data Center at the University of Wisconsin-Madison (http://www.ssec.wisc.edu/datacenter/). The CloudSat/CAPLISO data were obtained freely from the CloudSat Data Processing Center (http://www.cloudsat.cira.colostate.edu). This work was completed during Y. Ai and W. Shi's visit to the University of Wisconsin-Madison funded by the China Scholarship Council (CSC). This research is partly supported by the NOAA GOES-R high-impact weather and proving ground programs and the JPSS algorithm project. Tim Schmit, NOAA NESDIS STAR, is thanked for constructive comments on this manuscript. The views and opinions expressed in this article are those of the authors and do not necessarily reflect the official policy of any agency of the U.S. government.
Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China; Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison, Madison, WI, United States; State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; Center for Satellite Applications and Research, NESDIS/NOAA, Silver Spring, MD, United States
Recommended Citation:
Ai Y.,Li J.,Shi W.,et al. Deep convective cloud characterizations from both broadband imager and hyperspectral infrared sounder measurements[J]. Journal of Geophysical Research: Atmospheres,2017-01-01,122(3)