@Article{NogueiraMoreVolp:2018:EvPrEs,
author = "Nogueira, Sulimar Munira Caparoci and Moreira, Maur{\'{\i}}cio
Alves and Volpato, Margarete Marin Lordelo",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and Agricultural Research
Company of Minas Gerais, Minas Gerais (EPAMIG)",
title = "Evaluating precipitation estimates from Eta, TRMM and CHRIPS data
in the south-southeast region of Minas Gerais state-Brazil",
journal = "Remote Sensing",
year = "2018",
volume = "10",
number = "2",
pages = "e313",
month = "Feb.",
keywords = "water deficit, 3B42, Evapotranspiration.",
abstract = "Precipitation estimates derived from the Eta model and from TRMM
(Tropical Rainfall Measuring Mission) and CHIRPS (Climate Hazards
Group InfraRed Precipitation with Station data) remotely sensed
data were compared to the precipitation data of the INMET
(National Institute of Meteorology) meteorological stations in the
south-southeast region of Minas Gerais state, Brazil, in the
period between July 2009 and June 2015. Then, information about
evapotranspiration (ETR), water deficit (DEF), and water surplus
(EXC) was obtained from the precipitation data, using the
sequential water balance (SWB) separately for each type of
precipitation data (INMET, TRMM, Eta, and CHIRPS). Subsequently,
the components of the SWB were comparatively analyzed. The results
indicate that all three products overestimate rainfall. The
strongest relationships between the INMET data and the estimated
data were observed for the TRMM, in terms of precipitation
estimates, as well as DEF, EXC, and ETR components. The Eta
precipitation estimates are overestimated relative to those from
INMET, resulting in underestimation of the water deficit (DEFETA)
and overestimation of evapotranspiration (ETRETA). In general, the
CHIRPS data presented a pattern similar to the station data,
though statistical analyses were lower than those of the TRMM
data.",
doi = "10.3390/rs10020313",
url = "http://dx.doi.org/10.3390/rs10020313",
issn = "2072-4292",
language = "en",
targetfile = "nogueira_evaluationg.pdf",
urlaccessdate = "27 abr. 2024"
}