A multiscale ensemble filtering system for hydrologic data assimilation. Part II: application to land surface modeling with satellite rainfall forcing

Ming Pan, Eric F. Wood

Research output: Contribution to journalArticle

18 Scopus citations

Abstract

Part I of this series of studies developed procedures to implement the multiscale filtering algorithm for land surface hydrology and performed assimilation experiments with rainfall ensembles from a climate model. However, a most important application of the multiscale technique is to assimilate satellite-based remote sensing observations into a land surface model-and this has not been realized. This paper focuses on enabling the multiscale assimilation system to use remotely sensed precipitation data. The major challenge is the generation of a rainfall ensemble given one satellite rainfall map. An acceptable rainfall ensemble must contain a proper multiscale spatial correlation structure, and each ensemble member presents a realistic rainfall process in both space and time. A pattern-based sampling approach is proposed, in which random samples are drawn from a historical rainfall database according to the pattern of the satellite rainfall and then a cumulative distribution function matching procedure is applied to ensure the proper statistics for the pixellevel rainfall intensity. The assimilation system is applied using Tropical Rainfall Measuring Mission real-time satellite rainfall over the Red-Arkansas River basin. Results show that the ensembles so generated satisfy the requirements for spatial correlation and realism and the multiscale assimilation works reasonably well. A number of limitations also exist in applying this generation method, mainly stemming from the high dimensionality of the problem and the lack of historical records.

Original languageEnglish (US)
Pages (from-to)1493-1506
Number of pages14
JournalJournal of Hydrometeorology
Volume10
Issue number6
DOIs
StatePublished - Dec 1 2009

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

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