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Dynamical prediction of Indian monsoon

  • Ongoing development of dynamical atmosphere-ocean general circulation models keep expectations high regarding seasonal predictions of Indian monsoon rainfall. This study compares past and present skill of four currently operating forecasting systems, CFSv2 from NCEP, ENSEMBLES, System 4 and the newest SEAS5 from ECMWF, by analysing correlations of respective hindcasts with observed all-India summer rainfall. For the common time period 1982-2005, only ENSEMBLES and CFSv2 give significantly skilful forecasts. It is shown that skill is highly dependent on the chosen time period. Especially the intense El Nino of 1997 seems to degrade the predictions, most notably for SEAS4 and SEAS5 which seem to be linked to El Nino too strongly. We show that by discarding that year, a regime shift in the 1990s is no longer visible. Overall, we observe a convergence of skill towards the present with correlations of about 0.4 for CFSv2 and of 0.6 for System 4 and SEAS5.

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Author details:Lisei Köhn-ReichORCiD, Gerd BürgerORCiDGND
DOI:https://doi.org/10.1002/joc.6039
ISSN:0899-8418
ISSN:1097-0088
Title of parent work (English):International Journal of Climatology
Subtitle (English):past and present skill
Publisher:Wiley
Place of publishing:Hoboken
Publication type:Article
Language:English
Date of first publication:2019/02/12
Publication year:2019
Release date:2021/01/19
Tag:Indian summer monsoon; correlation skill; dynamical seasonal prediction
Volume:39
Issue:8
Number of pages:8
First page:3574
Last Page:3581
Funding institution:Deutsche ForschungsgemeinschaftGerman Research Foundation (DFG) [265653116]
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften
DDC classification:5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften
Peer review:Referiert
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