Listar Ponencias por autor "Miyoshi, Takemasa"
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Impact of increasing the horizontal resolution of a regional forecast and analysis system based on the a ensemble kalman filter: a real case study
Autores
Saucedo, Marcos
Ruiz, Juan José
Saulo, Andrea Celeste
Miyoshi, Takemasa
(Centro Argentino de Meteorólogos, 2015-05)Resumen
In this study the impact of increasing the model resolution upon the quality of an ensemble based data assimilation system is investigated. This is done by performing data assimilation experiments with real observations ... -
Impacto de asimilar los perfiles verticales de temperatura y humedad del AIRS en el sur de Sudamérica utilizando el sistema WRF-LETKF
Autores
Dillon, María Eugenia
García Skabar, Yanina
Kalnay, Eugenia
Ruiz, Juan José
Collini, Estela Ángela
Miyoshi, Takemasa
(Servicio Meteorológico Nacional. Gerencia de Investigación Desarrollo y Capacitación. Departamento de Investigación y Desarrollo, 2015-05-26) -
Local ensemble transform Kalman filter experiments using radar observations: a case study over Central Argentina
Autores
Ruiz, Juan José
Vidal, Luciano
Maldonado, Paula
Ruiz Suárez, Sofía
Salio, Paola
García Skabar, Yanina
Saulo, Andrea Celeste
Nesbitt, Steve
Kalnay, Eugenia
Miyoshi, Takemasa
(Servicio Meteorológico Nacional. Gerencia de Investigación Desarrollo y Capacitación. Departamento de Investigación y Desarrollo, 2015-09-14)Resumen
Very short-term numerical weather forecasts are useful for identifying potential development areas of high impact weather events associated with deep convections (e.g. convective systems, strong winds, tornados, etc.) that ...