@Article{SantosRoRaAlMaOlNe:2019:UsHyMo,
author = "Santos, Carlos A. S. and Rocha, Felizardo A. and Ramos, Tiago B.
and Alves, Lincoln Muniz and Mateus, Marcos and Oliveira, Rodrigo
Proen{\c{c}}a de and Neves, Ramiro",
affiliation = "{Instituto Federal da Bahia (IFBA)} and {Instituto Federal da
Bahia (IFBA)} and {Universidade de Lisboa} and {Instituto Nacional
de Pesquisas Espaciais (INPE)} and {Universidade de Lisboa} and
{Universidade de Lisboa} and {Universidade de Lisboa}",
title = "Using a hydrologic model to assess the performance of regional
climate models in a semi-arid Watershed in Brazil",
journal = "Water (Switzerland)",
year = "2019",
volume = "11",
number = "1",
pages = "e170",
month = "jan.",
keywords = "climate change, Paragua{\c{c}}u River Basin, semi-arid region,
SWAT model, Eta-HadGEM2-ES, Eta-MIROC5, correction bias.",
abstract = "This study assessed the impact of climate change on the
hydrological regime of the Paragua{\c{c}}u river basin,
northeastern Brazil. Hydrological impact simulations were
conducted using the Soil and Water Assessment Tool (SWAT) for
20202040. Precipitation and surface air temperature projections
from two Regional Climate Models (Eta-HadGEM2-ES and Eta-MIROC5)
based on IPCC5RCP 4.5 and 8.5 scenarios were used as inputs after
first applying two bias correction methods (linear scalingLS and
distribution mappingDM). The analysis of the impact of climate
change on streamflow was done by comparing the maximum, average
and reference (Q90) flows of the simulated and observed streamflow
records. This study found that both methods were able to correct
the climate projection bias, but the DM method showed larger
distortion when applied to future scenarios. Climate projections
from the Eta-HadGEM2-ES (LS) model showed significant reductions
of mean monthly streamflow for all time periods under both RCP 4.5
and 8.5. The Eta-MIROC5 (LS) model showed a lower reduction of the
simulated mean monthly streamflow under RCP 4.5 and a decrease of
streamflow under RCP 8.5, similar to the Eta-HadGEM2-ES model
results. The results of this study provide information for guiding
future water resource management in the Paragua{\c{c}}u River
Basin and show that the bias correction algorithm also plays a
significant role when assessing climate model estimates and their
applicability to hydrological modelling.",
doi = "10.3390/w11010170",
url = "http://dx.doi.org/10.3390/w11010170",
issn = "2073-4441",
language = "en",
targetfile = "santos_using.pdf",
urlaccessdate = "27 abr. 2024"
}