Multiscale four-dimensional data assimilation

David R. Stauffer, N. L. Seaman

Research output: Contribution to journalArticle

270 Citations (Scopus)

Abstract

A multiscale nudging approach that utilizes grid nesting is investigated for the generation of complete, dynamically consistent datasets for the mesobeta scale. These datasets are suitable for input into air quality models, but can also be used for other diagnostic purposes including model initialization. A multiscale nudging strategy is used here to simulate the wind flow for two cases over the Colorado Plateau and Grand Canyon region. The special data included Doppler sodars, profilers, rawinsondes, and surface stations. Combinations of these data and conventional mesoalpha-scale data were assimilated into a nested version of the Pennsylvania State University-National Center for Atmospheric Research Mesoscale Model to investigate the importance of scale interaction and scale separation during FDDA. -from Authors

Original languageEnglish (US)
Pages (from-to)416-434
Number of pages19
JournalJournal of Applied Meteorology
Volume33
Issue number3
DOIs
StatePublished - Jan 1 1994

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data assimilation
profiler
canyon
air quality
plateau
station

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

Cite this

Stauffer, David R. ; Seaman, N. L. / Multiscale four-dimensional data assimilation. In: Journal of Applied Meteorology. 1994 ; Vol. 33, No. 3. pp. 416-434.
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Multiscale four-dimensional data assimilation. / Stauffer, David R.; Seaman, N. L.

In: Journal of Applied Meteorology, Vol. 33, No. 3, 01.01.1994, p. 416-434.

Research output: Contribution to journalArticle

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