The European Centre for Medium-Range Weather Forecasts (ECMWF) has made seasonal forecasts since 1997 with ensembles of a coupled ocean-atmosphere model, System-1 (S1). In January 2002, a new version, System-2 (S2), was introduced. For the calibration of these models, hindcasts have been performed starting in 1987, so that 15 yr of hindcasts and forecasts are now available for verification. Seasonal predictability is to a large extent due to the El Niho-Southern Oscillation (ENSO) climate oscillations. ENSO predictions of the ECMWF models are compared with those of statistical models, some of which are used operationally. The relative skill depends strongly on the season. The dynamical models are better at forecasting the onset of El Nino or La Nina in boreal spring to summer. The statistical models are comparable at predicting the evolution of an event in boreal fall and winter.
机构:
Univ Fed Rio Grande Sur UFRGS, Inst Pesquisas Hidrol IPH, BR-91501970 Porto Alegre, BrazilSistema Tecnol & Monitoramento Ambiental Parana SI, BR-81531980 Curitiba, Brazil
机构:
Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R ChinaBeijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China
Lu, Zheng
Guo, Yan
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Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China
Southern Marine Sci & Engn Guangdong Lab, Guangzhou, Peoples R ChinaBeijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China
Guo, Yan
Zhu, Jiangshan
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Chinese Acad Sci, Inst Atmospher Phys, Beijing, Peoples R ChinaBeijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China
Zhu, Jiangshan
Kang, Ning
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Natl Satellite Meteorol Ctr, Beijing, Peoples R ChinaBeijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China