Time lapse simulation of interrelated weather conditions

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049 ‡aMAIN
050 1 4 ‡aQC807.5 ‡b.U55 no.839
074 ‡a421-E-6 (microfiche)
086 0 ‡aD 301.45/39:839
086 0 ‡aD 301.45/4:83-0141
088 ‡aADA 133999
088 ‡aAFGL TR 83-141
100 1 ‡aGringorten, Irving I.
245 1 0 ‡aTime lapse simulation of interrelated weather conditions / ‡cIrving I. Gringorten.
264 1 ‡aHanscom AFB, Massachusetts : ‡bAir Force Geophysics Laboratory, Air Force Systems Command, United States Air Force, ‡c1983.
300 ‡a47 pages : ‡billustrations ; ‡c28 cm.
336 ‡atext ‡btxt ‡2rdacontent
337 ‡aunmediated ‡bn ‡2rdamedia
338 ‡avolume ‡bnc ‡2rdacarrier
490 0 ‡aEnvironmental research papers ; ‡vno. 839
490 0 ‡aAFGL-TR ; ‡v83-141
500 ‡a"20 May 1983."
500 ‡aDistributed to depository libraries in microfiche.
500 ‡aCover title.
504 ‡aIncludes bibliographical references.
513 ‡aInterim.
520 ‡aThis paper has been prompted by the need, in war games, for a stochastic model of the sequence of weather conditions as they might impinge on air/ground combat operations. Such a time sequence of weather, including ceiling, visibility, and cloud cover, for one or more stations, has been perceived as inadequately modeled, so far. The present work is based on previously developed sequences in the Ornstein-Uhlenbeck process. Joint sequences call for a modification, but still basically comprise a Markov process. Formulas or algorithms have been developed for the joint occurrence of two interrelated events changing simultaneously in a Markov time sequence. The model process is particularly applicable to a changing combination of ceiling and visibility at one station, or to the changing combination of cloud cover at two adjacent stations. A brief examination of the time sequence of three simultaneous events reveals a rapidly increasing complication of solution, making an alternative study of a real coverage of weather conditions more acceptable when more than two variables are involved.
536 ‡d66700910.
536 ‡d62101F.
538 ‡aMode of access: Internet.
650 7 ‡aProbability forecasts (Meteorology) ‡2fast ‡0(OCoLC)fst01077754
650 7 ‡aMarkov processes. ‡2fast ‡0(OCoLC)fst01010347
650 0 ‡aMarkov processes.
650 0 ‡aProbability forecasts (Meteorology) ‡zUnited States.
651 7 ‡aUnited States. ‡2fast ‡0(OCoLC)fst01204155
710 2 ‡aU.S. Air Force Geophysics Laboratory. ‡bMeteorology Division.
730 0 ‡aTechnical Report Archive & Image Library (TRAIL)
899 ‡a39015095140094
CID ‡a102325982
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