%0 Journal Article %@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S} %@nexthigherunit 8JMKD3MGPCW/3F3T29H %@nexthigherunit 8JMKD3MGPCW/43SKC35 %@resumeid %@resumeid %@resumeid 8JMKD3MGP5W/3C9JGQ7 %@archivingpolicy denypublisher denyfinaldraft12 %3 Pesquero_climate.pdf %X This study shows the results from a regional climate simulation of the present-day climate, corresponding to the period 1961-1970 over South America, using the regional Eta Model nested within the HadAM3P model from the UK Hadley Centre. The simulation analysis is focused on assessing the capability of the nested regional model in representing spatial patterns of seasonal mean climate and the annual cycle of precipitation and temperature. The goals of this 10-year run for South America are to verify if the Eta Model can be used in climate-change scenarios and to verify if this model has the ability to generate added value for the South American continent. The Eta Model was chosen because there are few investigations using the Eta Model for long integrations over South America and because the vertical coordinate system used in this model is recommended for use over South America due to the presence of the Andes range. In the present 10-year simulation, the regional model reproduced many of the South American mesoscale climate features and together added new value to the driver model. Value was also added to the driver model by reducing seasonal biases in austral winter relative to austral summer. The regional model also exhibits better performance in the representation of low-level circulation, such as the topographically induced northwesterly flux. © 2009 Springer-Verlag. %@mirrorrepository sid.inpe.br/mtc-m19@80/2009/08.21.17.02.53 %8 january %N 1-2 %T Climate downscaling over South America for 1961-1970 using the Eta Model %@electronicmailaddress pesquero@cptec.inpe.br %@electronicmailaddress chou@cptec.inpe.br %@electronicmailaddress carlos.nobre@inpe.br %@electronicmailaddress jose.marengo@cptec.inpe.br %@secondarytype PRE PI %K air temperature, annual cycle, climate change, climate modeling, downscaling, precipitation (climatology), regional climate, topography. %@usergroup administrator %@usergroup valdirene %@group CST-CST-INPE-MCT-BR %@group DMD-CPT-INPE-MCT-BR %@group CST-CST-INPE-MCT-BR %@group CST-CST-INPE-MCT-BR %@secondarykey INPE--PRE/ %@secondarymark B2_ASTRONOMIA_/_FÍSICA A2_CIÊNCIAS_AGRÁRIAS_I B1_GEOCIÊNCIAS A2_GEOGRAFIA A2_INTERDISCIPLINAR %@issn 0177-798X %2 sid.inpe.br/mtc-m19/2010/10.13.13.51.30 %@affiliation Instituto Nacional de Pesquisas Espaciais (INPE) %@affiliation Instituto Nacional de Pesquisas Espaciais (INPE) %@affiliation Instituto Nacional de Pesquisas Espaciais (INPE) %@affiliation Instituto Nacional de Pesquisas Espaciais (INPE) %B Theoretical and Applied Climatology %P 75-93 %4 sid.inpe.br/mtc-m19/2010/10.13.13.51 %D 2010 %V 99 %@doi 10.1007/s00704-009-0123-z %A Pesquero, Jose Fernando, %A Chou, Sin Chan, %A Nobre, Carlos Afonso, %A Marengo, José Antonio, %@dissemination WEBSCI; PORTALCAPES; MGA. %@area MET