@InProceedings{NobreMalaGiar:2006:CoOcVa,
author = "Nobre, Paulo and Malagutti, Marta and Giarolla, Emanuel",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Coupled Ocean-Atmosphere variability of the South American Monsoon
System",
booktitle = "Proceedings...",
year = "2006",
editor = "Vera, Carolina and Nobre, Carlos",
pages = "587--588",
organization = "International Conference on Southern Hemisphere Meteorology and
Oceanography, 8. (ICSHMO).",
publisher = "American Meteorological Society (AMS)",
address = "45 Beacon Hill Road, Boston, MA, USA",
keywords = "SACZ, South America Climate Variability, Coupled ocean-atmosphere
modeling.",
abstract = "Climate variability over South America is strongly linked to SST
over the tropical and South Atlantic Ocean. Two phenomena that
cause large rainfall interannual variability over South America,
and that have apparent links with SST anomalies over the tropical
Atlantic are the Intertropical Convergence Zone (ITCZ) and the
South Atlantic Convergence Zone (SACZ). Yet, the linkages of such
convergence zones with SSTA are quite diverse, as the former seems
to be strongly modulated by interhemispheric gradients of SSTA and
the latter shows negative correlations with SSTA locally. Such are
the conclusions of two-tiered approaches to simulate rainfall
variability using AGCMs forced by prescribed SST fields globally.
An alternative to the two-tier approach is the use of coupled
ocean-atmosphere models (CGCM), which account for nonlinear
effects of surface fluxes of momentum and heat on the
determination of SST. Results of ongoing predictability
experiments conducted at CPTEC using a global CGCM with eddy
resolving ocean resolution over the tropical Atlantic indicates a
gain of predictive skill over the area of the SACZ relative to
AGCM skill measures over the same area. Yet, warm SST bias over
eastern equatorial Atlantic in the CGCM forecasts remains an
unsolved problem, which may be contributing to an apparent
degradation of CGCM predictive skill of rainfall over northern
Nordeste Brazil.",
conference-location = "Foz do Igua{\c{c}}u",
conference-year = "24-28 Apr. 2006",
copyholder = "SID/SCD",
language = "en",
organisation = "American Meteorological Society (AMS)",
ibi = "cptec.inpe.br/adm_conf/2005/10.31.15.53",
url = "http://urlib.net/ibi/cptec.inpe.br/adm_conf/2005/10.31.15.53",
targetfile = "587-589.pdf",
type = "Climate predictions",
urlaccessdate = "05 maio 2024"
}