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Abstract:

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. © 2017, Springer-Verlag Berlin Heidelberg.

Registro:

Documento: Artículo
Título:Subseasonal prediction of the heat wave of December 2013 in Southern South America by the POAMA and BCC-CPS models
Autor:Osman, M.; Alvarez, M.S.
Filiación:Departamento de Ciencias de la Atmósfera y los Océanos, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
Centro de Investigaciones del Mar y la Atmósfera (CIMA), Instituto Franco Argentino sobre Estudios de Clima y sus Impactos (UMI IFAECI)/CNRS, CONICET - Universidad de Buenos Aires, Buenos Aires, Argentina
Palabras clave:Heat wave; S2S; SACZ; South America; air temperature; atmospheric circulation; atmospheric modeling; ensemble forecasting; forecasting method; heat wave; prediction; probability; temperature anomaly; South America
Año:2018
Volumen:50
Número:1-2
Página de inicio:67
Página de fin:81
DOI: http://dx.doi.org/10.1007/s00382-017-3582-4
Título revista:Climate Dynamics
Título revista abreviado:Clim. Dyn.
ISSN:09307575
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09307575_v50_n1-2_p67_Osman

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Citas:

---------- APA ----------
Osman, M. & Alvarez, M.S. (2018) . Subseasonal prediction of the heat wave of December 2013 in Southern South America by the POAMA and BCC-CPS models. Climate Dynamics, 50(1-2), 67-81.
http://dx.doi.org/10.1007/s00382-017-3582-4
---------- CHICAGO ----------
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" . Climate Dynamics 50, no. 1-2 (2018) : 67-81.
http://dx.doi.org/10.1007/s00382-017-3582-4
---------- MLA ----------
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" . Climate Dynamics, vol. 50, no. 1-2, 2018, pp. 67-81.
http://dx.doi.org/10.1007/s00382-017-3582-4
---------- VANCOUVER ----------
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. 2018;50(1-2):67-81.
http://dx.doi.org/10.1007/s00382-017-3582-4