Assessing the performance of WRF model in predicting high-impact weather conditions over Central and Western Africa: an ensemble-based approach

Assessing the performance of WRF model in predicting high-impact weather conditions over Central... Nat Hazards https://doi.org/10.1007/s11069-018-3368-y ORIGINAL PAPER Assessing the performance of WRF model in predicting high-impact weather conditions over Central and Western Africa: an ensemble-based approach 1,2 1 1 • • • P. Moudi Igri Romeo S. Tanessong D. A. Vondou 3 4 1 • • • Jagabandhu Panda Adamou Garba F. Kamga Mkankam A. Kamga Received: 12 October 2016 / Accepted: 22 May 2018 Springer Science+Business Media B.V., part of Springer Nature 2018 Abstract For numerical weather prediction over a particular region, it is important to know the best combination of physical parameterizations available in the considered modelling frame work. The main objective of the study is to obtain the best combination of the weather research and forecasting (WRF) model physics for accurately simulating high- impact weather conditions, especially the rainfall over Western and Central Africa. For this purpose, performance of WRF from various simulations with specific configurations is assessed by comparing the results to the Tropical Rainfall Measurement Mission data. Each of the simulations is carried out for 30 h and initialized at 00 UTC. The spin-up time considered for the study is 6 h. A flood event (21–22 July 2010) is simulated by consid- ering five cumulus physics http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Natural Hazards Springer Journals

Assessing the performance of WRF model in predicting high-impact weather conditions over Central and Western Africa: an ensemble-based approach

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Publisher
Springer Netherlands
Copyright
Copyright © 2018 by Springer Science+Business Media B.V., part of Springer Nature
Subject
Earth Sciences; Natural Hazards; Hydrogeology; Geophysics/Geodesy; Geotechnical Engineering & Applied Earth Sciences; Civil Engineering; Environmental Management
ISSN
0921-030X
eISSN
1573-0840
D.O.I.
10.1007/s11069-018-3368-y
Publisher site
See Article on Publisher Site

Abstract

Nat Hazards https://doi.org/10.1007/s11069-018-3368-y ORIGINAL PAPER Assessing the performance of WRF model in predicting high-impact weather conditions over Central and Western Africa: an ensemble-based approach 1,2 1 1 • • • P. Moudi Igri Romeo S. Tanessong D. A. Vondou 3 4 1 • • • Jagabandhu Panda Adamou Garba F. Kamga Mkankam A. Kamga Received: 12 October 2016 / Accepted: 22 May 2018 Springer Science+Business Media B.V., part of Springer Nature 2018 Abstract For numerical weather prediction over a particular region, it is important to know the best combination of physical parameterizations available in the considered modelling frame work. The main objective of the study is to obtain the best combination of the weather research and forecasting (WRF) model physics for accurately simulating high- impact weather conditions, especially the rainfall over Western and Central Africa. For this purpose, performance of WRF from various simulations with specific configurations is assessed by comparing the results to the Tropical Rainfall Measurement Mission data. Each of the simulations is carried out for 30 h and initialized at 00 UTC. The spin-up time considered for the study is 6 h. A flood event (21–22 July 2010) is simulated by consid- ering five cumulus physics

Journal

Natural HazardsSpringer Journals

Published: Jun 1, 2018

References

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