The prediction skill of subseasonal forecast models is evaluated for a strong and long-lasting heat wave occurred in December 2013 over Southern South America. Reforecasts from two models participating in the WCRP/WWRP Subseasonal to Seasonal project, the Bureau of Meteorology POAMA and Beijing Climate Center model BCC-CPS were considered to evaluate their skill in forecasting temperature and circulation anomalies during that event. The POAMA reforecast of 32-member ensemble size, initialized every five days, and BCC-CPS reforecast of 4-member ensemble size for the same date of POAMA plus the previous 4 days were considered. Weekly ensemble-mean forecasts were computed with leadtimes from 2 days up to 24 days every 5 days. Weekly anomalies were calculated for observations from 13th of December to 31st of December 2013. Anomalies for both observations and reforecast were calculated with respect to their own climatology. Results show that the ensemble mean warm anomalies forecasted for week 1 and 2 of the heat wave resulted more similar to the observations for the POAMA model, especially for longer leads. The BCC-CPS performed better for leads shorter than 7 (14) for week 1 (2). For week 3 the BCC-CPS outperformed the POAMA model, particularly at shorter leads, locating more accurately the maxima of the anomalies. In a probabilistic approach, POAMA predicted with a higher chance than BCC-CPS the excess of the upper tercile of temperature anomalies for almost every week and lead time. The forecast of the circulation anomalies over South America could be used to explain the location of the highest temperature anomalies. In summary, for this case, models skill in forecasting surface temperature in a context of a heat wave resulted moderate at lead times longer than the fortnight. However, this study is limited to model-to-model analysis and a multi-model ensemble strategy might increase the skill.
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This work is based on S2S data. S2S is a joint initiative of the World Weather Research Programme (WWRP) and the World Climate Research Programme (WCRP). The original S2S database is hosted at ECMWF as an extension of the TIGGE database. We acknowledge The World Meteorological Organization and The International Centre for Theoretical Physics which have supported this work through the organization of the “Advanced School and Workshop on Subseasonal to Seasonal Prediction and Application to Drought Prediction”. The research was supported by CONICET/PIP 112-20120100626CO, UBACyT 20020130100489BA, PIDDEF 2014/2017 Nro 15, and the CLIMAX Project funded by Belmont Forum. MSA is supported by a PostDoc grant from CONICET, Argentina. MO is supported by a Ph.D. grant from CONICET, Argentina.
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Osman, M., Alvarez, M.S. Subseasonal prediction of the heat wave of December 2013 in Southern South America by the POAMA and BCC-CPS models. Clim Dyn 50, 67–81 (2018). https://doi.org/10.1007/s00382-017-3582-4
- South America
- Heat wave