Evaluation of an experimental Warn-on-Forecast 3DVAR analysis and forecast system on quasi-real-time short-term forecasts of high-impact weather events

Hu, Junjun; Gao, Jidong; Wang, Yunheng; Pan, Sijie; Fierro, Alexandre O.; Skinner, Patrick S.; Knopfmeier, Kent; Mansell, Edward R.; Heinselman, Pamela L.

doi:10.1002/qj.4168

i

Evaluation of an experimental Warn-on-Forecast 3DVAR analysis and forecast system on quasi-real-time short-term forecasts of high-impact weather events

2021
By Hu, Junjun ; Gao, Jidong ; Wang, Yunheng ; ...

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Journal Title:

Quarterly Journal of the Royal Meteorological Society
Personal Author:

Hu, Junjun ; Gao, Jidong ; Wang, Yunheng ; Pan, Sijie ; Fierro, Alexandre O. ; Skinner, Patrick S. ; Knopfmeier, Kent ; Mansell, Edward R. ; Heinselman, Pamela L.
NOAA Program & Office:

CIWRO (Cooperative Institute for Severe and High-Impact Weather Research and Operations) ; NWS (National Weather Service) ; OAR (Oceanic and Atmospheric Research) ; NSSL (National Severe Storms Laboratory)
Description:

The purpose of this study is to demonstrate the capability of an experimental, weather-adaptive, high-resolution, deterministic Warn-on-Forecast (WoF) analysis and forecast system (WoF3DVAR-AFS) for predicting high-impact severe weather events that occurred during the Hazardous Weather Testbed 2019 Spring Forecast Experiments.
Keywords:

Variational Analysis And Forecast System Warn-on-Forecast WRF Model
Source:

Quarterly Journal of the Royal Meteorological Society 147(741)
DOI:

https://doi.org/10.1002/qj.4168
Document Type:

Journal Article
Funding:

Grant no. NA11OAR4320072 ; Grant no. NA18NWS4680063
Rights Information:

Public Domain
Compliance:

Submitted
Main Document Checksum:

urn:sha256:426c6ccab927d62448d43c3f08dc0a6b95d7857adc5fac677d2333f28ee565d3
Download URL:

https://repository.library.noaa.gov/view/noaa/33999/noaa_33999_DS1.pdf
File Type:

[PDF - 33.18 MB ]

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