Progress, challenges, and future steps in data assimilation for convection‐permitting numerical weather prediction: Report on the virtual meeting held on 10 and 12 November 2021

Hu, Guannan; Dance, Sarah L.; Bannister, Ross N.; Chipilski, Hristo G.; Guillet, Oliver; Macpherson, Bruce; Weissmann, Martin; Yussouf, Nusrat

doi:10.1002/asl.1130

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Progress, challenges, and future steps in data assimilation for convection‐permitting numerical weather prediction: Report on the virtual meeting held on 10 and 12 November 2021

2022
By Hu, Guannan ; Dance, Sarah L. ; Bannister, Ross N. ; ...
Source: Atmospheric Science Letters, 24(1)

[PDF-924.52 KB]

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Journal Title:

Atmospheric Science Letters
Personal Author:

Hu, Guannan ; Dance, Sarah L. ; Bannister, Ross N. ; Chipilski, Hristo G. ; Guillet, Oliver ; ... More +

Hu, Guannan ; Dance, Sarah L. ; Bannister, Ross N. ; Chipilski, Hristo G. ; Guillet, Oliver ; Macpherson, Bruce ; Weissmann, Martin ; Yussouf, Nusrat Less -
NOAA Program & Office:

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

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

In November 2021, the Royal Meteorological Society Data Assimilation (DA) Special Interest Group and the University of Reading hosted a virtual meeting on the topic of DA for convection-permitting numerical weather prediction. The goal of the meeting was to discuss recent developments and review the challenges including methodological developments and progress in making the best use of observations. The meeting took place over two half days on the 10 and 12 November, and consisted of six talks and a panel discussion. The scientific presentations highlighted some recent work from Europe and the USA on convection-permitting DA including novel developments in the assimilation of observations such as cloud-affected satellite radiances in visible channels, ground-based profiling networks, aircraft data, and radar reflectivity data, as well as methodological advancements in background and observation error covariance modelling and progress in operational systems. The panel discussion focused on key future challenges including the handling of multiscales (synoptic-, meso-, and convective-scales), ensemble design, the specification of background and observation error covariances, and better use of observations. These will be critical issues to address in order to improve short-range forecasts and nowcasts of hazardous weather.
Keywords:

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Atmospheric Science
Source:

Atmospheric Science Letters, 24(1)
DOI:

https://doi.org/10.1002/asl.1130
ISSN:

1530-261X;1530-261X;
Format:

PDF
Publisher:

Wiley
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by/4.0/
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CC BY
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Submitted
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urn:sha256:e5bd38b0e60521d582df90e2d8afde8ed78ca780d815e02387602f84b7c43b2a
Download URL:

https://repository.library.noaa.gov/view/noaa/50538/noaa_50538_DS1.pdf
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Progress, challenges, and future steps in data assimilation for convection‐permitting numerical weather prediction: Report on the virtual meeting held on 10 and 12 November 2021

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