Improving Lightning and Precipitation Prediction of Severe Convection Using Lightning Data Assimilation With NCAR WRF-RTFDDA-Reference-Cited by-同舟云学术

Improving Lightning and Precipitation Prediction of Severe Convection Using Lightning Data Assimilation With NCAR WRF-RTFDDA

Published:2017-11-15 Issue:22 Volume:122 Page:12,296-12,316
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Wang Haoliang¹²,Liu Yubao²,Cheng William Y. Y.²,Zhao Tianliang¹,Xu Mei²,Liu Yuewei²,Shen Si²,Calhoun Kristin M.³^ORCID,Fierro Alexandre O.³

Affiliation:

1. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters; Nanjing University of Information Science and Technology; Nanjing China

2. National Center for Atmospheric Research; Boulder CO USA

3. Cooperative Institute for Mesoscale Meteorological Studies (CIMMS), NOAA/National Severe Storms Laboratory; University of Oklahoma (OU); Norman OK USA

Funder

State Grid Corporation of China

Publisher

American Geophysical Union (AGU)

Subject

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

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/2017JD027340/fullpdf

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