Progress, challenges, and future steps in data assimilation for convection-permitting numerical weather prediction

Autor(en)
Guannan Hu, Sarah L. Dance, Ross N. Bannister, Hristo G. Chipilski, Oliver Guillet, Bruce Macpherson, Martin Weissmann, Nusrat Yussouf
Abstrakt

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.

Organisation(en)
Institut für Meteorologie und Geophysik
Externe Organisation(en)
University of Reading, National Center for Atmospheric Research (NCAR), Université de Toulouse, Met Office, University of Oklahoma
Journal
Atmospheric Science Letters
Band
24
Anzahl der Seiten
12
ISSN
1530-261X
DOI
https://doi.org/10.1002/asl.1130
Publikationsdatum
09-2022
Peer-reviewed
Ja
ÖFOS 2012
105206 Meteorologie
Schlagwörter
ASJC Scopus Sachgebiete
Atmospheric Science
Link zum Portal
https://ucrisportal.univie.ac.at/de/publications/18142d6d-e55f-456a-9531-287eca6db63c