Large‐scale teleconnection patterns of Indian summer monsoon as revealed by CFSv2 retrospective seasonal forecast runs. (7th December 2015)
- Record Type:
- Journal Article
- Title:
- Large‐scale teleconnection patterns of Indian summer monsoon as revealed by CFSv2 retrospective seasonal forecast runs. (7th December 2015)
- Main Title:
- Large‐scale teleconnection patterns of Indian summer monsoon as revealed by CFSv2 retrospective seasonal forecast runs
- Authors:
- Chattopadhyay, Rajib
Rao, Suryachandra A.
Sabeerali, C. T.
George, Gibies
Rao, D. Nagarjuna
Dhakate, Ashish
Salunke, Kiran - Abstract:
- ABSTRACT: The seasonal prediction skill [defined as the linear correlation ( cc ) between the observed and forecasted rainfall] of the Indian Summer Monsoon Rainfall (ISMR) is evaluated in the Climate Forecast System version 2 (CFSv2) model, at different lead times on the basis of its representation of large scale tropical teleconnection. Surprisingly, the model exhibits reasonable skill at a longer lead time (e.g. forecasts initialized with February initial conditions, Feb IC run, cc > 0.5 ) that is reasonably better when compared with that with forecast initialized at shorter lead time [April/May IC (Apr/May IC) runs, cc < 0.5 ]. Although the prediction skill of ISMR improves as lead time increases, the ENSO forecast skill improves as lead time decreases. Probable reasons for these counter‐intuitive findings are investigated in this study. The model shows unrealistic teleconnection of ISMR with Indian Ocean Dipole (IOD) and is unable to represent the large scale rainfall pattern over the Indian land region. The Equatorial Indian Ocean Oscillation (EQUINOO) shows unrealistic teleconnection with ISMR as well as equatorial Pacific from all the initial condition runs. Unrealistic EQUINOO and the IOD teleconnection suggest that the air–sea interaction in the Indian Ocean requires to be improved in the model. The relationship between El Nino‐Southern Oscillation (ENSO) and monsoon in CFSv2 is realistic in terms of spatial pattern though it is somewhat stronger than that inABSTRACT: The seasonal prediction skill [defined as the linear correlation ( cc ) between the observed and forecasted rainfall] of the Indian Summer Monsoon Rainfall (ISMR) is evaluated in the Climate Forecast System version 2 (CFSv2) model, at different lead times on the basis of its representation of large scale tropical teleconnection. Surprisingly, the model exhibits reasonable skill at a longer lead time (e.g. forecasts initialized with February initial conditions, Feb IC run, cc > 0.5 ) that is reasonably better when compared with that with forecast initialized at shorter lead time [April/May IC (Apr/May IC) runs, cc < 0.5 ]. Although the prediction skill of ISMR improves as lead time increases, the ENSO forecast skill improves as lead time decreases. Probable reasons for these counter‐intuitive findings are investigated in this study. The model shows unrealistic teleconnection of ISMR with Indian Ocean Dipole (IOD) and is unable to represent the large scale rainfall pattern over the Indian land region. The Equatorial Indian Ocean Oscillation (EQUINOO) shows unrealistic teleconnection with ISMR as well as equatorial Pacific from all the initial condition runs. Unrealistic EQUINOO and the IOD teleconnection suggest that the air–sea interaction in the Indian Ocean requires to be improved in the model. The relationship between El Nino‐Southern Oscillation (ENSO) and monsoon in CFSv2 is realistic in terms of spatial pattern though it is somewhat stronger than that in observations. The equatorial central Pacific sea surface temperature and rainfall show very strong cold and dry biases respectively, and these biases enhance from the Feb IC run to the May IC run. It is found that these biases are due to strong unrealistic coupled feedback in this region. As a result, the associated ENSO–monsoon teleconnection pattern shifts westward with decreasing lead time, resulting in unrealistic patterns as compared with observations, and causing a loss of prediction skill at shorter lead times. … (more)
- Is Part Of:
- International journal of climatology. Volume 36:Number 9(2016)
- Journal:
- International journal of climatology
- Issue:
- Volume 36:Number 9(2016)
- Issue Display:
- Volume 36, Issue 9 (2016)
- Year:
- 2016
- Volume:
- 36
- Issue:
- 9
- Issue Sort Value:
- 2016-0036-0009-0000
- Page Start:
- 3297
- Page End:
- 3313
- Publication Date:
- 2015-12-07
- Subjects:
- seasonal prediction -- Indian summer monsoon -- CFSv2 -- coupled modeling -- teleconnection
Climatology -- Periodicals
Climat -- Périodiques
Climatologie -- Périodiques
551.605 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/joc.4556 ↗
- Languages:
- English
- ISSNs:
- 0899-8418
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.168000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 4570.xml