LMODEL: A satellite precipitation methodology using cloud development modeling. Part II: Validation
Hsu, Kuo-lin; Bellerby, Tim; Sorooshian, S.
Dr Timothy Bellerby T.J.Bellerby@hull.ac.uk
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). doi:10.1175/2009JHM1092.1. ISSN 1525-755X
|Journal Article Type||Article|
|Acceptance Date||May 15, 2009|
|Online Publication Date||Oct 1, 2009|
|Publication Date||Oct 31, 2009|
|Publicly Available Date|
|Journal||JOURNAL OF HYDROMETEOROLOGY|
|Publisher||American Meteorological Society|
|Peer Reviewed||Peer Reviewed|
You might also like
WRF model sensitivity to choice of parameterization: a study of the 'York Flood 1999'
Ensemble representation of uncertainty in Lagrangian satellite rainfall estimates