Comparative Evaluation of Two Ensembles for Long-Range Forecasting of Monsoon Rainfall
IR@C-MMACS: CSIR-Centre for Mathematical Modelling and Computer Simulation, Bangalore
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Title |
Comparative Evaluation of Two Ensembles for Long-Range
Forecasting of Monsoon Rainfall
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Creator |
Goswami, P
Gouda, K C |
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Subject |
Climate Modelling
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Description |
It is now well known that changes in initial conditions can give rise to substantial changes in the forecasts
even at the long range. Ensemble averaging of forecasts from different initial conditions provides an efficient
way of assessing and reducing uncertainties in the forecasts due to inherent uncertainties in the initial
conditions. However, the procedure for generating the ensemble of forecasts has to be based on careful
consideration. Although there now exist several well-tested frameworks for ensemble forecasting at the short
range, the procedure for and impact of ensemble forecasting on long-range forecasting of monsoons remain
relatively less explored. In particular, the procedure for the choice of the ensemble for long-range forecasting
of monsoons needs special considerations. The Indian summer monsoon is characterized by a number of
intraseasonal oscillations (ISOs) whose phases and amplitudes can significantly affect the monsoon forecast
and that can be adequately sampled only using initial states spread over time scales comparable to the
characteristic time scales of these ISOs. It is shown that use of initial states spread over a longer period (such
as 1 April–1 May) results in a better ensemble average for long-range forecasting of Indian summer monsoon
than that from an ensemble of closely packed states with a shorter lead. An optimized configuration for longrange
forecasting of monsoons using a variable resolution general circulation model is adopted. The climatological
monthly mean SST field is used to assess realizable skill, as use of observed SST provides only
potential skill. Then five-member wide-lead (1 April–1 May) ensemble average forecasts are compared with
five-member compact-lead (27 April–1 May) ensemble average forecasts for 24 (1980–2003) hindcasts; it is
shown that the skill of the wide-lead ensemble average is superior to that of the compact-lead ensemble at
different spatial and temporal scales in spite of the longer lead of the former.
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Publisher |
American Meteorological Society
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Date |
2009-09
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Type |
Article
PeerReviewed |
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Format |
application/pdf
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Identifier |
http://cir.cmmacs.ernet.in/235/1/mwr_paper2009.pdf
Goswami, P and Gouda, K C (2009) Comparative Evaluation of Two Ensembles for Long-Range Forecasting of Monsoon Rainfall. Monthly Weather Review, 137 (9). pp. 2893-2907. ISSN Online ISSN: 1520-0493, Print ISSN: 0027-0644 |
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Relation |
http://journals.ametsoc.org
http://cir.cmmacs.ernet.in/235/ |
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