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LMODEL: A satellite precipitation methodology using cloud development modeling. Part II: Validation

Hsu, Kuo-lin; Bellerby, Tim; Sorooshian, S.


Kuo-lin Hsu

S. Sorooshian


Anew satellite-based rainfall monitoring algorithm that integrates the strengths of both low Earth-orbiting (LEO) and geostationary Earth-orbiting (GEO) satellite information has been developed. The Lagrangian Model (LMODEL) algorithm combines a 2D cloud-advection tracking system and a GEO data-driven cloud development and rainfall generation model with procedures to update model parameters and state variables in near-real time. The details of the LMODEL algorithm were presented in Part I. This paper describes a comparative validation against ground radar rainfall measurements of 1- and 3-h LMODEL accumulated rainfall outputs. LMODEL rainfall estimates consistently outperform accumulated 3-h microwave (MW)-only rainfall estimates, even before the more restricted spatial coverage provided by the latter is taken into account. In addition, the performance of LMODEL products remains effective and consistent between MW overpasses. Case studies demonstrate that the LMODEL provides the potential to synergize available satellite data to generate useful precipitation measurements at an hourly scale.


Hsu, K., Bellerby, T., & Sorooshian, S. (2009). LMODEL: A satellite precipitation methodology using cloud development modeling. Part II: Validation. Journal of hydrometeorology, 10(5), 1096-1108.

Journal Article Type Article
Acceptance Date May 15, 2009
Online Publication Date Oct 1, 2009
Publication Date Oct 31, 2009
Print ISSN 1525-755X
Publisher American Meteorological Society
Peer Reviewed Peer Reviewed
Volume 10
Issue 5
Pages 1096-1108
Keywords Atmospheric Science
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