INVESTIGADORES
SOLMAN Silvina Alicia
congresos y reuniones científicas
Título:
Initial results of the CORDEX FPS on extreme precipitation events in Southeastern South America: dynamical downscaling at convection-permitting resolution
Autor/es:
ROSMERI PORFIRIO DA ROCHA; MARTA LLOPART; JESUS FERNANDEX; MARIA LAURA BETTOLLI ; SIN CHAN CHOU; ERIKA COPPOLA; MOIRA DOYLE; MARTIN FEIJOO; JOSE MANUEL GUTIERREZ; ALVARO LAVIN-GULLON; SILVINA A SOLMAN
Lugar:
BEIJING
Reunión:
Conferencia; INTERNATIONAL CONFERENCE ON REGIONAL CLIMATE ICRC2019-CORDEX ABSTRACT BOOK; 2019
Institución organizadora:
WORLD CLIMATE RESEARCH PROGRAMME
Resumen:
The CORDEX Flagship Pilot Study (FPS) on extreme precipitation events in Southeastern South America (SESA) aims at studying multi-scale processes and interactions leading to extreme precipitation events. It will foster cooperation with the impacts and user community to obtain actionable climate information from different sources, including both statistical and dynamical downscaling. Regarding the latter, we designed an experimental setup exploring the uncertainties arising from the use of (1) different regional climate models and configurations (ETA, RegCM4, WRF3.8, WRF3.9), (2) different resolutions, with an intermediate resolution nest (20km) to reach convection-permitting resolution (4km) over the target area, (3) different heavy precipitation events and (4) different simulation setups, comparing a ?Weather-like? mode, benefiting from predictability arising from initial conditions as in NWP, and a ?climate mode?, where predictability arises only from the lateral boundary conditions. These driving boundary conditions are taken in all cases from the ERA-Interim reanalysis, in order to compare with observations and leave out global climate modelling uncertainty.In this work, we present some initial results focusing only on precipitation and exploring the above mentioned uncertainty sources. In particular, we focus on the ability of the models to represent the diurnal cycle of precipitation, total precipitation amount and spatial distribution as compared to the driving reanalysis and several station and gridded observational datasets over the region.
