Another approach to operational forecasting of mountain wave turbulence

R. Sharman; D. Landau; M. G. Wurtele

Another approach to operational forecasting of mountain wave turbulence

R. Sharman
, D. Landau
, M. G. Wurtele

University of California at Los Angeles

Research output: Abstract › Paper › peer-review

2 Scopus citations

Abstract

A new method for forecasting turbulence due to mountain waves is presented. The method is robust and can be used in an operational forecasting environment. In this method the mountainous regions are divided up into squares where mountain-induced turbulence is known to be favored from climatology. Large scale numerical weather prediction output is then analyzed within these squares for conditions favorable to mountain wave turbulence. This analysis is based on forecasting rules-of-thumb established by forecasters over the last 50 years. For those regions which are favorable, a two-dimensional fine scale numerical simulation model is run using sounding data produced from the large scale model to produce the final forecast of turbulence location and intensity.

Original language	English
State	Published - 2000
Event	38th Aerospace Sciences Meeting and Exhibit 2000 - Reno, NV, United States Duration: Jan 10 2000 → Jan 13 2000

Conference

Conference	38th Aerospace Sciences Meeting and Exhibit 2000
Country/Territory	United States
City	Reno, NV
Period	01/10/00 → 01/13/00

Cite this

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title = "Another approach to operational forecasting of mountain wave turbulence",

abstract = "A new method for forecasting turbulence due to mountain waves is presented. The method is robust and can be used in an operational forecasting environment. In this method the mountainous regions are divided up into squares where mountain-induced turbulence is known to be favored from climatology. Large scale numerical weather prediction output is then analyzed within these squares for conditions favorable to mountain wave turbulence. This analysis is based on forecasting rules-of-thumb established by forecasters over the last 50 years. For those regions which are favorable, a two-dimensional fine scale numerical simulation model is run using sounding data produced from the large scale model to produce the final forecast of turbulence location and intensity.",

author = "R. Sharman and D. Landau and Wurtele, \{M. G.\}",

year = "2000",

language = "English",

note = "38th Aerospace Sciences Meeting and Exhibit 2000 ; Conference date: 10-01-2000 Through 13-01-2000",

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TY - CONF

T1 - Another approach to operational forecasting of mountain wave turbulence

AU - Sharman, R.

AU - Landau, D.

AU - Wurtele, M. G.

PY - 2000

Y1 - 2000

N2 - A new method for forecasting turbulence due to mountain waves is presented. The method is robust and can be used in an operational forecasting environment. In this method the mountainous regions are divided up into squares where mountain-induced turbulence is known to be favored from climatology. Large scale numerical weather prediction output is then analyzed within these squares for conditions favorable to mountain wave turbulence. This analysis is based on forecasting rules-of-thumb established by forecasters over the last 50 years. For those regions which are favorable, a two-dimensional fine scale numerical simulation model is run using sounding data produced from the large scale model to produce the final forecast of turbulence location and intensity.

AB - A new method for forecasting turbulence due to mountain waves is presented. The method is robust and can be used in an operational forecasting environment. In this method the mountainous regions are divided up into squares where mountain-induced turbulence is known to be favored from climatology. Large scale numerical weather prediction output is then analyzed within these squares for conditions favorable to mountain wave turbulence. This analysis is based on forecasting rules-of-thumb established by forecasters over the last 50 years. For those regions which are favorable, a two-dimensional fine scale numerical simulation model is run using sounding data produced from the large scale model to produce the final forecast of turbulence location and intensity.

UR - https://www.scopus.com/pages/publications/84894335625

M3 - Paper

AN - SCOPUS:84894335625

T2 - 38th Aerospace Sciences Meeting and Exhibit 2000

Y2 - 10 January 2000 through 13 January 2000

ER -

Another approach to operational forecasting of mountain wave turbulence

Abstract

Conference

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