@InProceedings{VergastaCSCLGFP:2022:AsPrHy,
author = "Vergasta, Leonardro Alves and Correia, Francis Wagner Silva and
Satyamurty, Prakky and Chou, Sin Chan and Lyra, Andr{\'e} de
Arruda and Gomes, Weslley de Brito and Fleischmann, Ayan Santos
and Papa, Fabrice",
affiliation = "{Instituto Nacional de Pesquisas da Amaz{\^o}nia (INPA)} and
{Universidade do Estado do Amazonas (UEA)} and {Instituto Nacional
de Pesquisas da Amaz{\^o}nia (INPA)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas da
Amaz{\^o}nia (INPA)} and {Instituto de Pesquisa Hidr{\'a}ulia}",
title = "An assessment of the present hydroclimatic regime ot the Madeira
River basin using climate and hydrological models",
year = "2022",
organization = "Workshop em Modelagem Num{\'e}rica de Tempo, Clima e
Mudan{\c{c}}as Clim{\'a}ticas Usando o Modelo Eta: Aspectos
F{\'{\i}}sicos e Num{\'e}ricos (WorEta), 7.",
publisher = "INPE",
keywords = ": Madeira River basin, Regional Climate model, Hydrological model,
Earth, System Models.",
abstract = "Satisfactory performance of climate and hydrological models under
current/historical climate conditions is a prerequisite for
reliable future projections of climate change impacts on water
resources. In this work, we evaluate the ability of a modeling
coupling approach, including a Regional Climate Model forced with
three Earth System Models and a Hydrological Model, to represent
the hydroclimatic variables for the present climate (1982-2005) in
the Madeira River basin, a major sub-basin of the Amazon. We used
different hydrometeorological databases to assess the systematic
errors of the climate and hydrological models. Results show that
both models reproduced well the assessed hydroclimatic variables
(rainfall, evapotranspiration, river water levels and discharges,
and inundation extent), and their coupling is promising to
investigate the impact of climate change on water resources.
However, certain uncertainties in the model predictions do remain,
and could be reduced in the future by changing physical
parameterizations of the climate and hydrological models.",
conference-location = "Online",
conference-year = "26-30 set. 2022",
ibi = "8JMKD3MGP3W34T/47MGHH8",
url = "http://urlib.net/ibi/8JMKD3MGP3W34T/47MGHH8",
targetfile = "TP_03_A5_Vergasta-Leonardo.pdf",
urlaccessdate = "06 maio 2024"
}