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

[thumbnail of Open Access]
Preview
Text (Open Access) - Published Version
· Available under License Creative Commons Attribution.
· Please see our End User Agreement before downloading.
| Preview
Available under license: Creative Commons Attribution
[thumbnail of ISM_and_SEAS5.pdf]
Text - Accepted Version
· Restricted to Repository staff only
Restricted to Repository staff only

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Chevuturi, A. orcid id iconORCID: https://orcid.org/0000-0003-2815-7221, Turner, A. orcid id iconORCID: https://orcid.org/0000-0002-0642-6876, Johnson, S., Weisheimer, A., Shonk, J., Stockdale, T. N. and Senan, R. (2021) Forecast skill of the Indian monsoon and its onset in the ECMWF seasonal forecasting system 5 (SEAS5). Climate Dynamics, 56 (9-10). pp. 2941-2957. ISSN 0930-7575 doi: 10.1007/s00382-020-05624-5

Abstract/Summary

Accurate forecasting of variations in Indian monsoon precipitation and progression on seasonal timescales 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.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/95213
Identification Number/DOI 10.1007/s00382-020-05624-5
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > NCAS
Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher Springer
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar