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Long-term verification of HIRLAM and ECMWF forecasts over Southern Europe

2013; Elsevier BV; Volume: 125-126; Linguagem: Inglês

10.1016/j.atmosres.2013.01.010

1873-2895

Beatriz Navascués, Javier Bartolome Calvo, Gema Morales, Carlos Santos Burguete, Alfons Callado, Alberto Cansado, Joan Cuxart, Margarita Diez, P. del Río, Pau Escribà, O. García-Colombo, José Antonio García-Moya, Carlos Geijo, Eliana Alviárez Gutierrez, Mariano Hortal, Isabel Martínez Marco, B. Orfila, José Antonio Parodi, Ernesto Rodríguez Camino, Jana Sánchez Arriola, Inés Santos-Atienza, Juan Simarro,

Wind and Air Flow Studies

The evolution of Numerical Weather Prediction (NWP) activities at the Spanish State Meteorological Agency (AEMET) is reviewed not only for historical reasons but mainly to demonstrate the value added by Limited Area Models to deterministic and probabilistic short range forecasting. This paper highlights the decisive role of international cooperation in the general progress achieved by the NWP area of research. In fact, most of the activities here described have taken place in collaboration with the HIRLAM Consortium. The main milestones of HIRLAM model development are analyzed. Long-term performance assessments of HIRLAM operational runs illustrate the positive trend of forecast quality brought by the different scientific developments. Besides, the evolution of the European Centre for Medium-Range Weather Forecasts (ECMWF) operational forecast skill in South-western Europe is presented. HIRLAM complements the global model forecasts in the short range and adds value especially for some surface parameters. The HARMONIE system is the result of the collaboration between HIRLAM and ALADIN Consortia addressing km scale operational forecasting. Some promising results using this new system are shown and the main ongoing work to improve HARMONIE is outlined. Innovative developments on Regional Ensemble Prediction Systems (SREPS) conducted over the last decade at AEMET – within HIRLAM and in collaboration with several NWP centres – are complementing the probabilistic ECMWF forecasts for the short range. Finally, the main achievements and future prospects of SREPS in the mesoscale are presented.