A multiscale four-dimensional data assimilation system applied in the San Joaquin Valley during SARMAP. Part I

modeling design and basic performance characteristics

N. L. Seaman, David R. Stauffer, A. M. Lario-Gibbs

Research output: Contribution to journalArticle

107 Citations (Scopus)

Abstract

This paper presents results of numerical simulations made with a high-resolution multiscale four-dimensional data assimilation system applied over California during two episodes associated with high ozone concentrations in the San Joaquin Valley. The model used here is the nonhydrostatic Pennsylvania State University - National Center for Atmospheric Research Mesoscale Model (MM5). The focus of the paper is the objective validation of the regional (mesoalpha scale) meteorological results. The multiscale data assimilation approach produces highly reliable simulations of the wind, temperature, mixed-layer depth, and moisture, each of which is vital to air quality modeling and a host of other mesoscale applications. -from Authors

Original languageEnglish (US)
Pages (from-to)1739-1761
Number of pages23
JournalJournal of Applied Meteorology
Volume34
Issue number8
DOIs
StatePublished - Jan 1 1995

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data assimilation
valley
modeling
mixed layer
simulation
air quality
ozone
moisture
temperature

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

Cite this

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A multiscale four-dimensional data assimilation system applied in the San Joaquin Valley during SARMAP. Part I : modeling design and basic performance characteristics. / Seaman, N. L.; Stauffer, David R.; Lario-Gibbs, A. M.

In: Journal of Applied Meteorology, Vol. 34, No. 8, 01.01.1995, p. 1739-1761.

Research output: Contribution to journalArticle

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