Evaluation of model-derived and remotely sensed precipitation products for continental South America

L. Gustavo Goncalves de Goncalves, W. James Shuttleworth, Bart Nijssen, Eleanor J. Burke, Jose A. Marengo, Sin Chan Chou, Paul Houser, David L. Toll

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

This paper investigates the reliability of some of the more important remotely 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 general, the Eta model-calculated data outperform the several remotely sensed data products currently available and evaluated in the present study.

Original languageEnglish (US)
Article numberD16113
JournalJournal of Geophysical Research: Space Physics
Volume111
Issue number16
DOIs
StatePublished - Aug 27 2006

Fingerprint

Rain
Information services
evaluation
Satellites
products
TRMM
Precipitation (meteorology)
Neural networks
artificial neural network
satellite data
data products
product
South America
data assimilation
assimilation
rainfall
equators
estimates
prediction
information service

ASJC Scopus subject areas

  • Geochemistry and Petrology
  • Geophysics
  • Earth and Planetary Sciences (miscellaneous)
  • Space and Planetary Science
  • Atmospheric Science
  • Astronomy and Astrophysics
  • Oceanography

Cite this

Evaluation of model-derived and remotely sensed precipitation products for continental South America. / de Goncalves, L. Gustavo Goncalves; Shuttleworth, W. James; Nijssen, Bart; Burke, Eleanor J.; Marengo, Jose A.; Chou, Sin Chan; Houser, Paul; Toll, David L.

In: Journal of Geophysical Research: Space Physics, Vol. 111, No. 16, D16113, 27.08.2006.

Research output: Contribution to journalArticle

de Goncalves, L. Gustavo Goncalves ; Shuttleworth, W. James ; Nijssen, Bart ; Burke, Eleanor J. ; Marengo, Jose A. ; Chou, Sin Chan ; Houser, Paul ; Toll, David L. / Evaluation of model-derived and remotely sensed precipitation products for continental South America. In: Journal of Geophysical Research: Space Physics. 2006 ; Vol. 111, No. 16.
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