@Article{CalvettiBNISGHG:2017:QuPrEs,
author = "Calvetti, Leonardo and Beneti, Cesar and Neundorf, R{\'e}verton
Lu{\'{\i}}s Antunes and Inouye, Rafael Toshio and Santos, Tiago
Noronha dos and Gomes, Ana Maria and Herdies, Dirceu Luis and
Gon{\c{c}}alves, Luis Gustavo Gon{\c{c}}alves de",
affiliation = "{Universidade Federal de Pelotas} and SIMEPAR and SIMEPAR and
SIMEPAR and SIMEPAR and {Universidade Estadual Paulista (UNESP)}
and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Quantitative precipitation estimation integrated by poisson's
equation using radar mosaic, satellite, and rain gauge network",
journal = "Journal of Hydrologic Engineering",
year = "2017",
volume = "22",
number = "5",
pages = "E5016003",
abstract = "High-resolution quantitative precipitation estimation (QPE) from
radar and satellite combined with rain gauges is one of the most
important guides for hydrological forecasts. Whereas rain gauges
provide accurate measurement at a point, remote sensing helps to
retrieve the spatial pattern. An algorithm, named Siprec, has been
used to blend rain gauges, radar mosaic data, and satellite
Eumetsat/MPE estimates by using Poissons equation over two basins
in Brazil. The results indicated that Siprec decreased the root
mean square error (RMSE) when compared to radar and satellite
estimates as well as improved the correlation. Most of the errors
were related to precipitation above
10\ \ mm\ h\−110\ \ mm\ h\−1,
due to large spatial variability, typical of deep convection. The
solution of Poissons equation acts directly on the data received
at a certain time, converging the amplitude to the rain gauge
values and keeping the spatial distribution of the radar or
satellite measurement without a priori adjustments. This is an
important advantage in an operational environment because it does
not require frequent processing to update the weights like other
schemes.",
doi = "10.1061/(ASCE)HE.1943-5584.0001432",
url = "http://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0001432",
issn = "1084-0699",
label = "lattes: 6072354470541631 8 CalvettiBNISGHG:2016:QuPrEs",
language = "en",
targetfile = "Siprec_poisson_JHE_Calvetti_etal_2016.pdf",
url = "http://ascelibrary.org/doi/ref/10.1061/%28ASCE%29HE.1943-5584.0001432",
urlaccessdate = "19 set. 2024"
}