Assessment of Storm‐Scale Real Time Assimilation of GOES‐16 GLM Lightning‐Derived Water Vapor Mass on Short Term Precipitation Forecasts During the 2020 Spring Forecast Experiment-Reference-Cited by-同舟云学术

Assessment of Storm‐Scale Real Time Assimilation of GOES‐16 GLM Lightning‐Derived Water Vapor Mass on Short Term Precipitation Forecasts During the 2020 Spring Forecast Experiment

Published:2021-11-09 Issue:21 Volume:126 Page:
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:Geophys Res Atmos

Author:

Hu Junjun¹²^ORCID,Fierro Alexandre O.¹²³^ORCID,Wang Yunheng¹²^ORCID,Gao Jidong²,Clark Adam J.²,Jirak Israel L.⁴,Mansell Edward R.²^ORCID,Roberts Brett²⁴^ORCID,James Eric P.⁵⁶,Hu Ming⁶

Affiliation:

1. Cooperative Institute for Severe and High‐Impact Weather Research and Operations University of Oklahoma Norman OK USA

2. NOAA/OAR/National Severe Storms Laboratory Norman OK USA

3. Department of Forecasting Models – ZAMG. Vienna Zentralanstalt für Meteorologie und Geodynamik Vienna Austria

4. NOAA/Storm Prediction Center Norman OK USA

5. Cooperative Institute for Research in Environmental Sciences University of Colorado Boulder CO USA

6. NOAA/Global Systems Laboratory Boulder CO USA

Publisher

American Geophysical Union (AGU)

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021JD034603

Reference59 articles.

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3. Preprints, 13th Conference On Hydrology, Long Beach, CA;Baldwin M. E.,1997

4. An Hourly Assimilation–Forecast Cycle: The RUC

5. A North American Hourly Assimilation and Model Forecast Cycle: The Rapid Refresh

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