Accession Number : ADA288501

Title :   Indexing Meso-beta Surface Wind Site Representative.

Descriptive Note : Final rept.,

Corporate Author : ARMY RESEARCH LAB WHITE SANDS MISSILE RANGE NM

Personal Author(s) : Lee, Martin E. ; Henmi, Teizi

PDF Url : ADA288501

Report Date : SEP 1994

Pagination or Media Count : 38

Abstract : Multiple meso-Beta surface wind site data representativeness is examined in a comparison of corresponding sets of surface mesoscale model windfield predictions - with and without periodic surface data assimilation. A version of the Higher Order Turbulence Model for atmospheric Circulation (HOTMAC) is used in this study to obtain selected surface gridded windfields. Six different radiosonde initialization data Sets are used to generate seven hour HOTMAC surface windfield predictions. Two series of HOTMAC simulations are executed: a control case with sparse radiosonde initialization data (< 6 observations); and an experimental case, in which supplementary hourly surface wind observations, obtained from a consistent set of fifteen automatted surface observation stations over a meso-Beta scale complex terrain area, are also periodically assimilated into HOTMAC windfields by locally adjusting predicted windfield solutions toward observed conditions and correcting for mass conservation imbalances in the adjusted fields. After observation site data are interpolated from both gridded HOTMAC control and experimental surface windfield predictions, factor separation and statistical tests are used to characterize the representativeness of available surface observation stations in the modeled meso-Beta scale regime. Conclusions and the implications of presented results are summarized.

Descriptors :   *MATHEMATICAL MODELS, *WIND, *WEATHER FORECASTING, *MATHEMATICAL PREDICTION, DATA BASES, SCENARIOS, CONTROL, GROUND LEVEL, EXPERIMENTAL DESIGN, MASS, STATISTICAL TESTS, OBSERVATION, SITES, TURBULENCE, SURFACES, RADIOSONDES, CONSERVATION, ASSIMILATION, WEATHER STATIONS.

Subject Categories : Operations Research

Distribution Statement : APPROVED FOR PUBLIC RELEASE