@InProceedings{MarengoCSBNSDCCSP:2000:EnSiIn,
               author = "Marengo, Jose Antonio and Cavalcanti, Iracema Fonseca de 
                         Albuquerque and Satyamurty, Prakki and Bonatti, Jose Paulo and 
                         Nobre, Carlos Afonso and Sampaio, GilvaN and D'Almeyda, C. and 
                         Camargo Jr., Helio and Castro, Christopher Alexander Cunningham 
                         and Sanches, Marcos Barbosa and Pezzi, Luciano Ponzi",
          affiliation = "{CPTEC-INPE-Cachoeira Paulista-12630-000-SP-Brasil}",
                title = "Ensemble simulation of interannual climate variability using the 
                         CPTEC/COLA Global climate model for the period 1982-1991",
            booktitle = "Proceedings...",
                 year = "2000",
                pages = "51--52",
         organization = "Intrnational Conference Southern Hemisphere Meteorology and 
                         Oceanography, 6.",
            publisher = "American Meteorology Society",
             abstract = "Beginning the 1960's, observational and modeling studies of the 
                         ocean and atmosphere began to make clear that certain behaviors of 
                         the coupled system might be predictable, including EI Nino (see 
                         reviews in Mason et ai. 1999). The seasonal mean tropical 
                         circulation may be potentially more predictable than the middle 
                         latitude circulation as the low-frequency component of the 
                         tropical variability is primarily forced by slowly varying 
                         boundary conditions, such as sea surface temperature (SST), as 
                         supported by observational and modeling work. The ability of an 
                         atmospheric model to simulate to observed climate and its 
                         variability varies with scale and variable, with the radiative 
                         effects of clouds and the land-surface and sea-air interactions 
                         remaining an area of difficulty. Given the correct SST dr ice 
                         extent, most atmospheric G,CMs can simulate the observed large- 
                         scale climate with better skill for some areas as compared to 
                         another, and give a use fui indication of some of the observed 
                         regional and global interannual climate variations and trends. 
                         Even though the ability of a model to reproduce the observed mean 
                         interannual variability of climate is an important aspects of its 
                         performance, it comes the fact that the abiljty of the model to 
                         reproduce specific time sequences of interannual variability, 
                         either at regional or global scales, not always is forced (e.g. by 
                         SST), and that a parI of this variability may be intemal of the 
                         atmosphere and climate system themselves. Climate simulations 
                         using specified SST have an extensive history (se e reviews in 
                         Brankovic and Palmer 1998), as well as a host of papers derived 
                         from the AMIP climate simulations (see reviews in Zwiers 1996 and 
                         Gates et ai. 1992). The possibility that the atmosphere's internal 
                         dynamics or slowly evolving surface properties, such as soil 
                         moisture or snow cover may also generate potentially predictable 
                         interannual variability of seasonal mean climate.",
  conference-location = "Santiago-Chile",
      conference-year = "3-7 apr.",
           copyholder = "SID/SCD",
             language = "en",
         organisation = "ASM",
           targetfile = "2000_marengo.pdf",
        urlaccessdate = "18 abr. 2024"
}