Ensemble adaptive data assimilation techniques applied to land-falling north American cyclones

Brian C. Ancell, Lynn A. McMurdie

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Scopus citations

Abstract

Adaptive data assimilation is becoming an increasingly important aspect of numerical weather prediction. Traditional data assimilation involves combining a set of routine observations with a first-guess field provided by a numerical weather prediction model to produce an analysis of the atmospheric state. These analyses subsequently serve as the initial conditions for extended forecasts.

Original languageEnglish
Title of host publicationData Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II)
PublisherSpringer Berlin Heidelberg
Pages555-575
Number of pages21
ISBN (Electronic)9783642350887
ISBN (Print)9783642350870
DOIs
StatePublished - Jan 1 2013

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    Ancell, B. C., & McMurdie, L. A. (2013). Ensemble adaptive data assimilation techniques applied to land-falling north American cyclones. In Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II) (pp. 555-575). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-35088-7_23