@InProceedings{MendesMare:2008:SoAmPr,
               author = "Mendes, David and Marengo, Jos{\'e} Antonio",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Measuring projections of climate change skill: South America 
                         precipitation using IPCC models",
            booktitle = "Abstracts...",
                 year = "2008",
         organization = "EGU General Assembly.",
             keywords = "Sout America, precipitation, artificial neural network, 
                         meteorology.",
             abstract = "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.",
  conference-location = "Vienna, Austria",
      conference-year = "2008",
             language = "en",
           targetfile = "dmendes_egu2008.pdf",
        urlaccessdate = "15 jun. 2024"
}