%0 Conference Proceedings
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%@nexthigherunit 8JMKD3MGPCW/43SKC35
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%3 dmendes_egu2008.pdf
%B EGU General Assembly.
%X As Histoty embraces the beginning of a new millennium, old problem still constitute enormous challenges to the popoulation in general, and  to the academic world in particular. It is now widely accepted that General Circulation Models (CCMs) represent  the most  satisfactory technique to answer these  challengs (IPCC, 1996). Numerical  models (General Circulation Models or GCMs), representing physical processes in the atmosphere, ocean, cryosphere and land surface, are  the most  advanced tools currently. avaible for simulating  the respose of the global climate system ti increasing greenhouse  gas concentrations. This  work analyses the performance of the IPCC models (CCma, CCSRNIES, CSIRO, GFDL, HACM3, and  others) in simulate the present and future climate pattern of the  rainfall over  the South America Continent.  It general the models get to reproduce the phase of the annual cycle of the rainfall. In this  work was  used  four common metric are reviewed, the  Heidke  skill score, relative operating characteristic (ROC) skill score, equitable threat score, and the rank analog.
%@mirrorrepository sid.inpe.br/mtc-m18@80/2008/03.17.15.17.24
%T Measuring projections of climate  change  skill: South America  precipitation using  IPCC models
%@format On-line
%@tertiarytype Oral Technical Session
%@secondarytype PRE CI
%K Sout America, precipitation, artificial neural network, meteorology.
%8 2008
%@visibility shown
%@group DMD-CPT-INPE-MCT-BR
%@group CST-CST-INPE-MCT-BR
%@secondarykey INPE--PRE/
%2 sid.inpe.br/mtc-m18@80/2009/03.19.13.23.51
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%4 sid.inpe.br/mtc-m18@80/2009/03.19.13.23
%D 2008
%S Abstracts
%A Mendes, David,
%A Marengo, José Antonio,
%C Vienna, Austria
%@area MET