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Sources of predictability of synoptic‐scale rainfall during the West African summer monsoon

Rasheeda Satheesh, Athul ORCID iD icon 1; Knippertz, Peter ORCID iD icon 1,2; Fink, Andreas H. 1; Walz, Eva-Maria 2; Gneiting, Tilmann ORCID iD icon 2
1 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)
2 Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)

Abstract:

Numerical-model-based forecasts of precipitation exhibit poor skill over northern tropical Africa when compared with climatology-based forecasts and with other tropical regions. However, as recently demonstrated, purely data-driven forecasts based on spatio-temporal dependences inferred from gridded satellite rainfall estimates show promise for the prediction of the 24-hr precipitation occurrence rate in this region. The present work explores this potential further by advancing the statistical model and providing meteorological interpretations of the performance results. Advances include (a) the use of a recently developed correlation metric, the Coefficient of Predictive Ability (CPA), to identify predictors, (b) forecast evaluation with robust reliability diagrams and score decompositions, (c) a study domain over tropical Africa nested in a considerably enlarged spatio-temporal domain to identify coherent propagating features, and (d) the introduction of a novel coherent-linear-propagation factor to quantify the coherence of propagating signals. The statistical forecast is compared with a climatology-based benchmark, the European Centre for Medium-Range Weather Forecasts (ECMWF) operational ensemble forecast, and a statistically postprocessed ensemble forecast. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000163202
Veröffentlicht am 19.10.2023
Originalveröffentlichung
DOI: 10.1002/qj.4581
Scopus
Zitationen: 2
Web of Science
Zitationen: 2
Dimensions
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 0035-9009, 1477-870X
KITopen-ID: 1000163202
HGF-Programm 12.11.31 (POF IV, LK 01) New observational systems and cross platform integration
Erschienen in Quarterly Journal of the Royal Meteorological Society
Verlag John Wiley and Sons
Band 149 / B
Heft 757
Seiten 3721-3737
Vorab online veröffentlicht am 27.09.2023
Nachgewiesen in Web of Science
Scopus
Dimensions
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