Dynamical downscaling of the precipitation in Northeast Brazil with a regional climate model during contrasting years

The aim of this work is to evaluate how the Regional Climate Model (RegCM4) is able to simulate the precipitation in Northeast Brazil (NEB). Therefore, high-resolution (grid spacing of 20 km) simulations during the autumns of 1998 and 1999 were performed. The model was able to capture regional and i...

Descripción completa

Detalles Bibliográficos
Autores: Silva, Cláudio Moisés Santos e, Silva, A., Oliveira, Priscilla Teles de, Lima, Kellen Carla
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2013
País:Brasil
Institución:Universidade Federal do Rio Grande do Norte (UFRN)
Repositorio:Repositório Institucional da UFRN
Idioma:inglés
OAI Identifier:oai:repositorio.ufrn.br:123456789/28863
Acceso en línea:https://repositorio.ufrn.br/jspui/handle/123456789/28863
https://doi.org/10.1002/asl2.468
Access Level:acceso abierto
Palabra clave:RegCM4
Inter-annual variability
Semiarid
Convective parameterization
Descripción
Sumario:The aim of this work is to evaluate how the Regional Climate Model (RegCM4) is able to simulate the precipitation in Northeast Brazil (NEB). Therefore, high-resolution (grid spacing of 20 km) simulations during the autumns of 1998 and 1999 were performed. The model was able to capture regional and inter-annual differences of the precipitation in NEB. The RegCM4 simulations showed improved in the prediction concerning the intensity and spatial distribution of the rainfall, relative to the Era Interim reanalysis dataset. The experiment based on Emanuel MIT parameterization tends to overestimate the observed precipitation while the Grell experiment underestimates it.