%0 Journal Article
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@mirrorrepository iconet.com.br/banon/2006/11.26.21.31
%3 The surface radiation budget over South America in a set of regional climate models from the claris-lpb project.pdf
%4 sid.inpe.br/mtc-m21b/2014/11.18.23.59.31
%9 journal article
%@issn 0930-7575
%A Pessacg, N. L.,
%A Solman, S. A.,
%A Samuelsson, P.,
%A Sanchez, E.,
%A Marengo, José Antonio,
%A Li, L.,
%A Remedio, A. R. C.,
%A Rocha, R. P. da,
%A Mourão, Caroline,
%A Jacob, D.,
%@secondarytype PRE PI
%B Climate Dynamics
%D 2014
%F scopus 2014-11 PessacgSSSMLRRMJ:2014:SuRaBu
%K albedo, amplitude, annual cycle, climate modeling, ensemble forecasting, heat flux, longwave radiation, radiation budget, regional climate, shortwave radiation, uncertainty analysis, La Plata Basin.
%@archivingpolicy denypublisher denyfinaldraft12
%N 5-6
%P 1221-1239
%@secondarymark A1_CIÊNCIAS_BIOLÓGICAS_I A1_INTERDISCIPLINAR A1_CIÊNCIAS_AMBIENTAIS A1_BIODIVERSIDADE A1_GEOCIÊNCIAS A2_ASTRONOMIA_/_FÍSICA A2_ENGENHARIAS_I B1_CIÊNCIA_DA_COMPUTAÇÃO
%T The surface radiation budget over South America in a set of regional climate models from the CLARIS-LPB project
%V 43
%X The performance of seven regional climate models in simulating the radiation and heat fluxes at the surface over South America (SA) is evaluated. Sources of uncertainty and errors are identified. All simulations have been performed in the context of the CLARIS-LPB Project for the period 1990-2008 and are compared with the GEWEX-SRB, CRU, and GLDAS2 dataset and NCEP-NOAA reanalysis. Results showed that most of the models overestimate the net surface short-wave radiation over tropical SA and La Plata Basin and underestimate it over oceanic regions. Errors in the short-wave radiation are mainly associated with uncertainties in the representation of surface albedo and cloud fraction. For the net surface long-wave radiation, model biases are diverse. However, the ensemble mean showed a good agreement with the GEWEX-SRB dataset due to the compensation of individual model biases. Errors in the net surface long-wave radiation can be explained, in a large proportion, by errors in cloud fraction. For some particular models, errors in temperature also contribute to errors in the net long-wave radiation. Analysis of the annual cycle of each component of the energy budget indicates that the RCMs reproduce generally well the main characteristics of the short- and long-wave radiations in terms of timing and amplitude. However, a large spread among models over tropical SA is apparent. The annual cycle of the sensible heat flux showed a strong overestimation in comparison with the reanalysis and GLDAS2 dataset. For the latent heat flux, strong differences between the reanalysis and GLDAS2 are calculated particularly over tropical SA. © 2013 Springer-Verlag Berlin Heidelberg.
%@area CST
%@e-mailaddress marcelo.pazos@inpe.br
%@documentstage not transferred
%@group
%@group
%@group
%@group
%@group CST-CST-INPE-MCTI-GOV-BR
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%@group CST-CST-SPG-INPE-MCTI-GOV-BR
%@dissemination WEBSCI; PORTALCAPES; AGU; COMPENDEX; SCOPUS.
%@usergroup administrator
%@usergroup marcelo.pazos@inpe.br
%@nexthigherunit 8JMKD3MGPCW/3F3T29H
%@nexthigherunit 8JMKD3MGPCW/449U4PL
%@affiliation Centro Nacional Patagónico (CENPAT/CONICET), Blvrd. Brown 282.5, U9120ACF Puerto Madryn, Chubut, Argentina
%@affiliation Centro de Investigaciones Del Mar y la Atmósfera (CIMA/CONICET-UBA), DCAO/FCEN, UMI IFAECI/CNRS, Ciudad Universitaria Pabellón II Piso 2, C1428EGA Buenos Aires, Argentina
%@affiliation Rossby Centre, SMHI, 601 76 Norrköping, Sweden
%@affiliation Facultad Ciencias Ambientales y Bioquimica, Universidad de Castilla-La Mancha, Toledo, Spain
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Laboratoire de Météorologie Dynamique, IPSL, CNRS/UPMC, Paris, France
%@affiliation Max Planck Institute for Meteorology, 20146 Hamburg, Germany
%@affiliation Departamento de Ciências Atmosféricas, Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de São Paulo, São Paulo, Brazil
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Climate Service Center, 20095 Hamburg, Germany
%@versiontype publisher
%@doi 10.1007/s00382-013-1916-4
%2 sid.inpe.br/mtc-m21b/2014/11.18.23.59.32