Preprint

FZJ-2022-04857

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Optimization of weather forecasting for cloud cover over the European domain using the meteorological component of the Ensemble for Stochastic Integration of Atmospheric Simulations version 1.0

Lu, Y.-S. (Corresponding author)FZJ* ; Good, G. ; Elbern, H.FZJ*

2022
Copernicus Katlenburg-Lindau

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Please use a persistent id in citations: http://hdl.handle.net/2128/32685  doi:10.5194/gmd-2022-118

Abstract: In this study, we present an expansive sensitivity analysis of physics configurations for cloud cover using the Weather Forecasting and Research Model (WRF V3.7.1) on the European domain. The experiments utilize the meteorological part of a large ensemble framework known as the Ensemble for Stochastic Integration of Atmospheric Simulations (ESIAS-met). The experiments first seek the best deterministic WRF physics configuration by simulating over 1,000 combinations of microphysics, cumulus parameterization, planetary boundary layer physics (PBL), surface layer physics, radiation scheme and land surface models. The results on six different test days are compared to CMSAF satellite images from EUMETSAT. We then selectively conduct stochastic simulations to assess the best choice for ensemble forecasts. The results indicate a high variability in terms of physics and parameterization. The combination of Goddard, WSM6, or CAM5.1 microphysics with MYNN3 or ACM2 PBL exhibited the best performance in Europe. For probabilistic simulations, the combination of WSM6 and SBU–YL microphysics with MYNN2 and MYNN3 showed the best performance, capturing the cloud fraction and its percentiles with 32 ensemble members. This work also demonstrates the capability and performance of ESIAS-met for large ensemble simulations and sensitivity analysis.

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Contributing Institute(s):

1. Troposphäre (IEK-8)
2. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 2113 - Future Weather and Extremes (POF4-211) (POF4-211)
2. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)
3. EoCoE-II - Energy Oriented Center of Excellence : toward exascale for energy (824158) (824158)

Appears in the scientific report 2022

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Database coverage:
; ; Ebsco Academic Search

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