@Article{GoncalvesSNBMCHT:2006:EvMoRe,
author = "Goncalves, Luiz Gustavo Gon{\c{c}}alves de and Shuttleworth, W.
James and Nijssen, Bart and Burke, Eleanor J. and Marengo,
Jos{\'e} Antonio Orsini and Chou, Sin San and Houser, Paul and
Toll, David L.",
affiliation = "Department of Hydrology and Water Resources, University of
Arizona, Tucson, Arizona, USA and Department of Hydrology and
Water Resources, University of Arizona, Tucson, Arizona, USA and
Department of Hydrology and Water Resources, University of
Arizona, Tucson, Arizona, USA and Hadley Centre for Climate
Prediction and Research, Met Office, Exeter, UK and Instituto
Nacional de Pesquisas Espaciais (INPE), Centro de Previs{\~a}o de
Tempo e Estudos Clim{\'a}ticos (CPTEC) and Instituto Nacional de
Pesquisas Espaciais (INPE), Centro de Previs{\~a}o de Tempo e
Estudos Clim{\'a}ticos (CPTEC) and Center for Research on
Environment and Water, George Mason University and Hydrological
Sciences Branch, Maryland, USA",
title = "Evaluation of model-derived and remotely sensed precipitation
products for continental South America",
journal = "Journal of Geophysical Research",
year = "2006",
volume = "111",
number = "D16113",
pages = "01--13",
month = "Aug.",
keywords = "satellite-derived, PERSIANN, NESDIS, TRMM.",
abstract = "This paper investigates the reliability of some of the more
important sensed daily precipitation products available for South
America as a precursor to the possible implementation of a South
America Land Data Assimilation System. Precipitation data fields
calculated as 6 hour predictions by the CPTEC Eta model and three
different satellite-derived estimates of precipitation
(Precipitation Estimation from Remotely Sensed Information using
Artificial Neural Networks (PERSIANN), National Environmental
Satellite, Data and Information Service (NESDIS), and Tropical
Rainfall Measuring Mission (TRMM) are compared with the available
observations of daily total rainfall across South America. To make
this comparison, the threat score, fractional-covered area, and
relative volumetric bias of the model-calculated and remotely
sensed estimates are computed for the year 2000. The results show
that the Eta model-calculated data and the NESDIS product capture
the area without precipitation within the domain reasonably well,
while the TRMM and PERSIANN products tend to underestimate the
area without precipitation and to heavily overestimate the area
with a small amount of precipitation. In terms of precipitation
amount the NESDIS product significantly overestimates and the TRMM
product significantly underestimates precipitation, while the Eta
model-calculated data and PERSIANN product broadly match the
domain average observations. However, both tend to bias the zonal
location of precipitation more heavily toward the equator than the
observations. In geral, the Eta model-calculated data outperform
the several remotely sensed data products currently available and
evaluated in the present study.",
copyholder = "SID/SCD",
issn = "0148-0227 and 2156-2202",
language = "en",
targetfile = "Gon{\c{c}}alves.Evaluation.pdf",
urlaccessdate = "15 jun. 2024"
}