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Forecast skill of the Indian monsoon and its onset in the ECMWF seasonal forecasting system 5 (SEAS5)

Abstract:
Accurate forecasting of variations in Indian monsoon precipitation and progression on seasonal time scales remains a challenge for prediction centres. We examine prediction skill for the seasonal-mean Indian summer monsoon and its onset in the European Centre for Medium-Range Weather Forecasts (ECMWF) seasonal forecasting system 5 (SEAS5). We analyse summer hindcasts initialised on 1st of May, with 51 ensemble members, for the 36-year period of 1981–2016. We evaluate the hindcasts against the Global Precipitation Climatology Project (GPCP) precipitation observations and the ECMWF reanalysis 5 (ERA5). The model has significant skill at forecasting dynamical features of the large-scale monsoon and local-scale monsoon onset tercile category one month in advance. SEAS5 shows higher skill for monsoon features calculated using large-scale indices compared to those at smaller scales. Our results also highlight possible model deficiencies in forecasting the all India monsoon rainfall.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s00382-020-05624-5

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Atmos Ocean & Planet Physics
Oxford college:
University College
Role:
Author


Publisher:
Springer
Journal:
Climate Dynamics More from this journal
Volume:
56
Pages:
2941-2957
Publication date:
2021-02-09
Acceptance date:
2020-12-31
DOI:
EISSN:
1432-0894
ISSN:
0930-7575


Language:
English
Keywords:
Pubs id:
1161178
Local pid:
pubs:1161178
Deposit date:
2021-02-12

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