@InProceedings{ObregonNobr:2004:HyVaOv,
author = "Obregon, Guilhermo O. and Nobre, Carlos Afonso",
affiliation = "{CPTEC-INPE-Cachoeira Paulista-12630-000-SP-Brasil}",
title = "Hydrologic variability over the Amazon basin and its ip with ENOS
and NAO relationship",
year = "2004",
organization = "International Clivar Science Conference, 1.",
abstract = "The availability of long-term streamflow records of the Amazon
river at Manacapur{\'u} station, representative of the rainfall
integrate over the western portion of the basin, is useful as a
proxy for precipitation. Since this data provides a natural
integration of the hidroclimatic variations, it will allow us a
better understanding of the relationship between the hydrologic
processes over Amazonia and the large-scale circulation, which
drives the variability of the precipitation. Past studies found
that the rainfall over Amazonia is strong related to ENSO
phenomena (e. g. Marengo 1992), and it explains part of the
interannual variance of the river discharge (Amarasekera et al.
1997) with significant coherency at the period of 2-3 year
(Richlet et al. 1989). The rainfall (Nobre and Shukla 1996) and
the hydrologic trends (Costa and Foley 1999) over Amazonia are
also linked to the Tropical Atlantic SST. Besides it, there is a
relationship between the Tropical North Atlantic SST and the North
Atlantic Oscillation (NAO) at times scales of 8 - 20 year
(Rajagopalan et al. 1998), and model evidence that there is some
dependency between the NAO and the tropical Atlantic SST
(Robertson et al. 2000) Thus, the goals of this work are twofold:
first to reveal structures of a characteristic scale of monthly
river discharge using wavelet transform. Secondly, search for
relationship between the discharges and both the SOI and NAO
through the cross wavelet analyses, because they depict part of
the variability of the global climatic system and appear to be
independent manifestations of climate variability (Giannini at al.
2001). The use of the wavelet transform analysis offers
significant advantages over other techniques for analysis of
streamflow records because periodic and non-periodic events are
precisely located in time, permitting transient or time-dependent
features to be detected, that may otherwise be obscure.",
conference-location = "Baltimore",
conference-year = "21-25 jun.",
copyholder = "SID/SCD",
language = "en",
targetfile = "4Obregon.G.pdf",
urlaccessdate = "01 maio 2024"
}