Evaluation of mesoscale convective systems in South America using multiple satellite products and an object-based approach

E. M C Demaria, D. A. Rodriguez, E. E. Ebert, P. Salio, F. Su, Juan B Valdes

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

In this study, an object-based verification method was used to reveal the existence of systematic errors in three satellite precipitation products: Tropical Rainfall Measurement Mission (TRMM), Climate Prediction Center Morphing Technique (CMORPH), and Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks (PERSIANN). Mesoscale convective systems (MCSs) for the austral summer 2002-2003 in the La Plata river basin, southeastern South America, were analyzed with the Contiguous Rain Area (CRA) method. Errors in storms intensity, volume, and spatial location were evaluated. A macroscale hydrological model was used to assess the impact of spatially shifted precipitation on streamflows simulations. PERSIANN underestimated the observed average rainfall rate and maximum rainfall consistent with the detection of storm areas systematically larger than observed. CMORPH overestimated the average rainfall rate while the maximum rainfall was slightly underestimated. TRMM average rainfall rate and rainfall volume correlated extremely well with ground observations whereas the maximum rainfall was systematically overestimated suggesting deficiencies in the bias correction procedure to filter noisy measurements. The preferential direction of error displacement in satellite-estimated MCSs was in the east-west direction for CMORPH and TRMM. Discrepancies in the fine structure of the storms dominated the error decomposition of all satellite products. Errors in the spatial location of the systems influenced the magnitude of simulated peaks but did not have a significant impact on the timing indicating that the system's response to precipitation was mitigating the effect of the errors.

Original languageEnglish (US)
Article numberD08103
JournalJournal of Geophysical Research: Space Physics
Volume116
Issue number8
DOIs
StatePublished - 2011

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convective system
Rain
Satellites
rainfall
evaluation
products
river basins
rain
systematic errors
artificial neural network
climate
summer
fine structure
time measurement
product
South America
decomposition
filters
Neural networks
climate prediction

ASJC Scopus subject areas

  • Atmospheric Science
  • Geophysics
  • Earth and Planetary Sciences (miscellaneous)
  • Space and Planetary Science

Cite this

Evaluation of mesoscale convective systems in South America using multiple satellite products and an object-based approach. / Demaria, E. M C; Rodriguez, D. A.; Ebert, E. E.; Salio, P.; Su, F.; Valdes, Juan B.

In: Journal of Geophysical Research: Space Physics, Vol. 116, No. 8, D08103, 2011.

Research output: Contribution to journalArticle

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