Calibrated multi-model ensemble seasonal prediction of Bangladesh summer monsoon rainfall
Bangladesh summer monsoon rainfall (BSMR), typically from June through September (JJAS), represents the main source of water for multiple sectors. However, its high spatial and interannual variability makes the seasonal prediction of BSMR crucial for building resilience to natural disasters and for...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
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Wiley
2023
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| Online Access: | https://hdl.handle.net/10568/132226 |
| _version_ | 1855535579489370112 |
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| author | Acharya, Nachiketa Montes, Carlo Hassan, S.M.Q. Sultana, Razia Rashid, Md. Bazlur Mannan, Md. Abdul Krupnik, Timothy J. |
| author_browse | Acharya, Nachiketa Hassan, S.M.Q. Krupnik, Timothy J. Mannan, Md. Abdul Montes, Carlo Rashid, Md. Bazlur Sultana, Razia |
| author_facet | Acharya, Nachiketa Montes, Carlo Hassan, S.M.Q. Sultana, Razia Rashid, Md. Bazlur Mannan, Md. Abdul Krupnik, Timothy J. |
| author_sort | Acharya, Nachiketa |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Bangladesh summer monsoon rainfall (BSMR), typically from June through September (JJAS), represents the main source of water for multiple sectors. However, its high spatial and interannual variability makes the seasonal prediction of BSMR crucial for building resilience to natural disasters and for food security in a climate-risk-prone country. This study describes the development and implementation of an objective system for the seasonal forecasting of BSMR, recently adopted by the Bangladesh Meteorological Department (BMD). The approach is based on the use of a calibrated multi-model ensemble (CMME) of seven state-of-the-art general circulation models (GCMs) from the North American Multi-Model Ensemble project. The lead-1 (initial conditions of May for forecasting JJAS total rainfall) hindcasts (spanning 1982–2010) and forecasts (spanning 2011–2018) of seasonal total rainfall for the JJAS season from these seven GCMs were used. A canonical correlation analysis (CCA) regression is used to calibrate the raw GCMs outputs against observations, which are then combined with equal weight to generate final CMME predictions. Results show, compared to individual calibrated GCMs and uncalibrated MME, that the CCA-based calibration generates significant improvements over individual raw GCM in terms of the magnitude of systematic errors, Spearman's correlation coefficients, and generalised discrimination scores over most of Bangladesh areas, especially in the northern part of the country. Since October 2019, the BMD has been issuing real-time seasonal rainfall forecasts using this new forecast system. |
| format | Journal Article |
| id | CGSpace132226 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1322262025-11-06T13:08:19Z Calibrated multi-model ensemble seasonal prediction of Bangladesh summer monsoon rainfall Acharya, Nachiketa Montes, Carlo Hassan, S.M.Q. Sultana, Razia Rashid, Md. Bazlur Mannan, Md. Abdul Krupnik, Timothy J. climate services forecasting monsoons modelling rainfall Bangladesh summer monsoon rainfall (BSMR), typically from June through September (JJAS), represents the main source of water for multiple sectors. However, its high spatial and interannual variability makes the seasonal prediction of BSMR crucial for building resilience to natural disasters and for food security in a climate-risk-prone country. This study describes the development and implementation of an objective system for the seasonal forecasting of BSMR, recently adopted by the Bangladesh Meteorological Department (BMD). The approach is based on the use of a calibrated multi-model ensemble (CMME) of seven state-of-the-art general circulation models (GCMs) from the North American Multi-Model Ensemble project. The lead-1 (initial conditions of May for forecasting JJAS total rainfall) hindcasts (spanning 1982–2010) and forecasts (spanning 2011–2018) of seasonal total rainfall for the JJAS season from these seven GCMs were used. A canonical correlation analysis (CCA) regression is used to calibrate the raw GCMs outputs against observations, which are then combined with equal weight to generate final CMME predictions. Results show, compared to individual calibrated GCMs and uncalibrated MME, that the CCA-based calibration generates significant improvements over individual raw GCM in terms of the magnitude of systematic errors, Spearman's correlation coefficients, and generalised discrimination scores over most of Bangladesh areas, especially in the northern part of the country. Since October 2019, the BMD has been issuing real-time seasonal rainfall forecasts using this new forecast system. 2023-12-15 2023-10-12T19:00:28Z 2023-10-12T19:00:28Z Journal Article https://hdl.handle.net/10568/132226 en Open Access application/pdf Wiley Acharya, N., Montes, C., Hassan, S. M. Q., Sultana, R., Rashid, Md. B., Mannan, Md. A., & Krupnik, T. J. (2023). Calibrated multi‐model ensemble seasonal prediction of Bangladesh summer monsoon rainfall. International Journal of Climatology, joc.8246. https://doi.org/10.1002/joc.8246 |
| spellingShingle | climate services forecasting monsoons modelling rainfall Acharya, Nachiketa Montes, Carlo Hassan, S.M.Q. Sultana, Razia Rashid, Md. Bazlur Mannan, Md. Abdul Krupnik, Timothy J. Calibrated multi-model ensemble seasonal prediction of Bangladesh summer monsoon rainfall |
| title | Calibrated multi-model ensemble seasonal prediction of Bangladesh summer monsoon rainfall |
| title_full | Calibrated multi-model ensemble seasonal prediction of Bangladesh summer monsoon rainfall |
| title_fullStr | Calibrated multi-model ensemble seasonal prediction of Bangladesh summer monsoon rainfall |
| title_full_unstemmed | Calibrated multi-model ensemble seasonal prediction of Bangladesh summer monsoon rainfall |
| title_short | Calibrated multi-model ensemble seasonal prediction of Bangladesh summer monsoon rainfall |
| title_sort | calibrated multi model ensemble seasonal prediction of bangladesh summer monsoon rainfall |
| topic | climate services forecasting monsoons modelling rainfall |
| url | https://hdl.handle.net/10568/132226 |
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