• Sorted by Date • Sorted by Last Name of First Author •
Cavalcante, Rosane B. L., Pontes, Paulo R. M., Tedeschi, Renata G., Costa, Cláudia P. W., Ferreira, Douglas B. S., Souza-Filho, Pedro W. M., and de Souza, Everaldo B., 2020. Terrestrial water storage and Pacific SST affect the monthly water balance of Itacaiúnas River Basin (Eastern Amazonia). International Journal of Climatology, 40(6):3021–3035, doi:10.1002/joc.6380.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2020IJCli..40.3021C,
author = {{Cavalcante}, Rosane B.~L. and {Pontes}, Paulo R.~M. and {Tedeschi}, Renata G. and {Costa}, Cl{\'a}udia P.~W. and {Ferreira}, Douglas B.~S. and {Souza-Filho}, Pedro W.~M. and {de Souza}, Everaldo B.},
title = "{Terrestrial water storage and Pacific SST affect the monthly water balance of Itacai{\'u}nas River Basin (Eastern Amazonia)}",
journal = {International Journal of Climatology},
year = 2020,
month = may,
volume = {40},
number = {6},
pages = {3021-3035},
abstract = "{At subannual timescales, terrestrial water storage (TWS) plays a
critical role in the partitioning of precipitation into runoff
and evapotranspiration, and Amazonia stands out due to the great
amplitude of the annual cycles. In this study, we analyse the
monthly variation of the water balance and extreme hydrological
events using GRACE data for a watershed situated in the ``arc-
of-deforestation'' in the Eastern Brazilian Legal Amazon. The
existence of a correlation and lag time response between the
monthly sea surface temperatures in the Pacific and North
Atlantic and the variables of the water balance were also
investigated. The results showed a weak seasonal cycle of
evapotranspiration, with higher water intercepted by the
vegetation canopy in the rainy season and higher potential
evapotranspiration supplied by TWS in the dry season. The lowest
value of water storage was reached in December 2015 during the
strongest El Ni{\~n}o event observed in the analysed period
(2002-2016). This value impacted the streamflow for at least the
entire rainy season. The correlation analysis showed that
positive anomalies of the Ni{\~n}o 3.4 index from October to
March caused a significant decrease in precipitation in the
following March to May and in November, a significant increase
in the reference evapotranspiration in April and May, and longer
lasting effects on the streamflow and TWS. Although the
underlying mechanisms contributing to the time delays remain
incompletely understood, the results indicate that consideration
of the ENSO influence on the water balance and of the TWS
influence on streamflow would improve flood and drought
forecasts with benefits for water management.}",
doi = {10.1002/joc.6380},
adsurl = {https://ui.adsabs.harvard.edu/abs/2020IJCli..40.3021C},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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