@Article{MatsuyamaMareObreNobr:2002:SpTeVa,
author = "Matsuyama, H. and Marengo, Jos{\'e} Antonio and Obregon Parraga,
Guillermo Oswaldo and Nobre, Carlos Afonso",
affiliation = "{} and Instituto Nacional de Pesquisas Espaciais,(INPE/CPTEC) and
{Instituto Nacional de Pesquisas Espaciais (INPE/CPTEC)} and
{Instituto Nacional de Pesquisas Espaciais (INPE/CPTEC)}",
title = "Spatial and temporal variabilities of rainfall in tropical South
America as derived from Climate Prediction Center merged analysis
of precipitation",
journal = "International Journal of Climatology",
year = "2002",
volume = "22",
number = "2",
pages = "175--195",
month = "Feb.",
keywords = "Am{\'e}rica do SulBacia Amaz{\^o}nica, SEA, SURFACE TEMPERATURE,
INTERANNUAL VARIABILITY, GAUGE OBSERVATIONS, LEPAGE TEST, RIVER,
DEFORESTATION, TRENDS, OCEAN.",
abstract = "We investigated the spatial and temporal variabilities of Climate
Prediction Center merged analysis of precipitation (CMAP)in
tropical South America from 1979 to 1998. First, we validated CMAP
using other hydro meteorological data. In comparison with the
high-density precipitation data of the Global Historical
Climatology Network (GHCN)Ver.2, CMAP reproduces the spatial
pattern well, although it underestimates (overestimates)heavy
(light)precipitation. CMAP also reproduces the interannual
variability well, compared with the discharge data of the River
Amazon. Next, we applied the rotated empirical orthogonal function
(REOF)to CMAP after subtracting the annual cycle. Simultaneous and
lag correlations were calculated aniong the scores of REOFs 1 to
4, the southern oscillation index, and the dipole index of the
Atlantic. REOF 1 (15 percent)represents the north-south pattern
that exhibits the maximum precipitation in the summer hemisphere.
REOF 2 (12 percent)indicates the gradual decrease of precipitation
in the northern part of tropical South America, reflecting the
effect of the Atlantic. REOF 3 (11)exhibits an east-west pattern
related to El Nino. In REOF 4 (7), the centre of the factor
loading is located in Colombia, and the score jumps abruptly
around 1985-86.The Lepage test detected the abrupt increase of
CMAP in 1985-86 around Colombia. Since such a jump is not found in
GHCN Ver. 2, the discontinuous changes of CMAP and REOF 4 around
1985-86 are artificial and peculiar to CMAP. In this region, CMAP
should be applied with caution when evaluating recent trends and
the interannual variability. The importance of the abrupt increase
of precipitation around Colombia is also addressed.",
copyholder = "SID/SCD",
issn = "0899-8418",
label = "10044",
language = "en",
targetfile = "nobre_spatial.pdf",
urlaccessdate = "26 abr. 2024"
}