TY - JOUR
T1 - Progress, challenges, and future steps in data assimilation for convection-permitting numerical weather prediction
T2 - Report on the virtual meeting held on 10 and 12 November 2021
AU - Hu, Guannan
AU - Dance, Sarah L.
AU - Bannister, Ross N.
AU - Chipilski, Hristo G.
AU - Guillet, Oliver
AU - Macpherson, Bruce
AU - Weissmann, Martin
AU - Yussouf, Nusrat
N1 - Publisher Copyright:
© 2022 The Authors. Atmospheric Science Letters published by John Wiley & Sons Ltd on behalf of the Royal Meteorological Society.
PY - 2023/1/3
Y1 - 2023/1/3
N2 - 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.
AB - 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.
KW - AROME MODEL FORMULATION
KW - BALANCE
KW - MET OFFICE
KW - OBSERVATION ERRORS
KW - ON-FORECAST SYSTEM
KW - PRECIPITATION
KW - REPRESENTATION
KW - data assimilation
KW - SIMULATION
KW - VARIATIONAL DATA ASSIMILATION
KW - convection-permitting data assimilation
KW - covariance modelling
KW - multiscale data assimilation
KW - novel observations
KW - operational data assimilation systems
UR - http://www.scopus.com/inward/record.url?scp=85137574924&partnerID=8YFLogxK
U2 - 10.1002/asl.1130
DO - 10.1002/asl.1130
M3 - Article
SN - 1530-261X
VL - 24
JO - Atmospheric Science Letters
JF - Atmospheric Science Letters
IS - 1
M1 - e1130
ER -