| Record ID | ia:forecastingmesos00moha |
| Source | Internet Archive |
| Download MARC XML | https://archive.org/download/forecastingmesos00moha/forecastingmesos00moha_marc.xml |
| Download MARC binary | https://www.archive.org/download/forecastingmesos00moha/forecastingmesos00moha_meta.mrc |
LEADER: 02848nam 2200337 a 45 0
001 o640950156
005 19950823090641.0
037 $aADA384259
008 010118s2000 cau b f000|0 eng d
040 $aCMontNP$cCMontNP
100 1 $aMohammed, Renwick M.
245 10 $aForecasting mesoscale winds on complex terrain using a simple diagnostic model $h[electronic resource] /$cRenwick M. Mohammed.
260 $aMonterey, Calif. :$bNaval Postgraduate School ;$aSpringfield, Va. :$bAvailable from National Technical Information Service,$c2000.
300 $ax, 130 p. ;$c28 cm.
500 $aThesis advisor(s): Miller, Douglas K..
500 $a"September 2000."
502 $aThesis (M.S. in Meteorology and Physical Oceanography) Naval Postgraduate School, Sept. 2000.
504 $aIncludes bibliographical references (p. 126-127).
506 $aApproved for public release, distribution unlimited--Cover.
520 $aThe use of mesoscale models to provide an accurate representation of what the atmosphere is likely to do in the near future is one of the tools forecasters utilize to predict atmospheric variables. Because of the large amount of time and computer resources necessary to provide detailed forecasts on the mesoscale, this study looked at forecasting winds utilizing a simple diagnostic model and compared its results to a full physics model. Winds from the Fifth Generation Mesoscale Model (MM5), were run at fairly coarse grid spacings of 81, 27, and 9 kilometers and at a finer grid spacing of three kilometers. The MM5 9 kilometer results were input into the Winds On Critical Streamline Surfaces (WOOSS) model, which is a scaled down physics model designed to adjust winds to fine scale topography. A comparison of how the WOCSS model winds compared against each of the MM5 grid spacings was evaluated for an event during the period 4-7 August 1997 in the SOCAL bight region to determine if the results of the scaled down physics model were comparable to the full physics model. This experiment showed encouraging results for forecasting fine scale winds on complex topography using the simple dia nostic model.
530 $aAlso available in print.
538 $aMode of access: World Wide Web.
538 $aSystem requirements: Adobe Acrobat reader.
590 $aUS Navy (USN) author.
592 $adk/dk cc:9116 1/18/01.
992 $aMODELS, TERRAIN, WEATHER FORECASTING, COMPUTERS, GRIDS, WIND, ACCURACY, THESES, TOPOGRAPHY, SURFACES, SCALE, DIAGNOSIS(GENERAL), RESOURCES, STREAMLINE SHAPE.
856 41 $uhttp://edocs.nps.edu/npspubs/scholarly/theses/2000/Sep/00Sep%5FMohammed.pdf
856 41 $uhttp://handle.dtic.mil/100.2/ADA384259
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926 $aNPS-LIB$bTHESIS$cM6635$dTHESIS$f2