Impact of Moisture Information From Advanced Himawari Imager Measurements on Heavy Precipitation Forecasts in a Regional NWP Model

Author:

Wang Pei1ORCID,Li Jun1ORCID,Lu Bing2,Schmit Timothy J.3ORCID,Lu Jiazhen4,Lee Yong-Keun1ORCID,Li Jinlong1ORCID,Liu Zhiquan5ORCID

Affiliation:

1. Cooperative Institute for Meteorological Satellite Studies; University of Wisconsin-Madison; Madison WI USA

2. Institute of Urban Meteorology; China Meteorological Administration; Beijing China

3. Center for Satellite Applications and Research; NESDIS/NOAA; Madison WI USA

4. State Key Laboratory of Disaster Prevention and Reduction for Power Grid Transmission and Distribution Equipment; Changsha China

5. National Center for Atmospheric Research; Boulder CO USA

Funder

NOAA GOES-R series algorithm working group (AWG), Risk Reduction, high impact weather (HIW) and NSF

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Reference49 articles.

1. An introduction to Himawari-8/9-Japan's new-generation geostationary meteorological satellites;Bessho;Journal of the Meteorological Society of Japan,2016

2. S4: An O2R/R2O infrastructure for optimizing satellite data utilization in NOAA numerical modeling systems: A step toward bridging the gap between research and operations;Boukabara;Bulletin of the American Meteorological Society,2016

3. On water vapor Jacobian in fast radiative transfer model;Chen;Journal of Geophysical Research,2010

4. Comparison of two transmittance algorithms in the community radiative transfer mode: Application to AVHRR;Chen;Journal of Geophysical Research,2012

5. Variational assimilation of SSM/I total precipitable water retrievals in the CMC analysis system;Deblonde;Monthly Weather Review,1999

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