Tropical Cyclone Wind Probability Forecasting for the Southern Hemisphere (WINDPSH).

The development of a model to estimate 30 and 50 kt wind probabilities from Southern Hemisphere tropical cyclone forecasts is described. The model is based on position forecast errors, which are used to determine the probability of a tropical cyclone occupying a particular geographical position, and...

Full description

Bibliographic Details
Main Author: Jarrell,J D
Other Authors: SCIENCE APPLICATIONS INC MONTEREY CA
Format: Text
Language:English
Published: 1983
Subjects:
Online Access:http://www.dtic.mil/docs/citations/ADA136146
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA136146
id ftdtic:ADA136146
record_format openpolar
spelling ftdtic:ADA136146 2023-05-15T18:25:34+02:00 Tropical Cyclone Wind Probability Forecasting for the Southern Hemisphere (WINDPSH). Jarrell,J D SCIENCE APPLICATIONS INC MONTEREY CA 1983-10 text/html http://www.dtic.mil/docs/citations/ADA136146 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA136146 en eng http://www.dtic.mil/docs/citations/ADA136146 APPROVED FOR PUBLIC RELEASE DTIC AND NTIS Meteorology Statistics and Probability *TROPICAL CYCLONES *WIND ATMOSPHERE MODELS PROFILES ERRORS PROBABILITY WIND VELOCITY AREA COVERAGE RADIUS(MEASURE) GEOGRAPHIC DISTRIBUTION THREATS OCEANS SOUTHERN HEMISPHERE BIVARIATE ANALYSIS CORRELATION PROBABILITY DISTRIBUTION FUNCTIONS Ocean basins Southern ocean Tropical cyclone strike probability WINDPSH computer program Forward speed PE63207N WU6314 Text 1983 ftdtic 2016-02-21T21:33:15Z The development of a model to estimate 30 and 50 kt wind probabilities from Southern Hemisphere tropical cyclone forecasts is described. The model is based on position forecast errors, which are used to determine the probability of a tropical cyclone occupying a particular geographical position, and on wind profile errors. Wind profile errors consist of errors in the forecast maximum wind and errors in the forecast radius of 30 kt and 50 kt winds. The profile errors are used to estimate the probability of 30 and 50 kt winds occurring at a point, given that the tropical cyclone occupies a particular position. These position and wind probability elements are combined by using an assumption of independence which was supported by correlation coefficients in an earlier work. The model, which includes features of earlier strike and wind probability models, is tested on independent data. Test results show good agreement between forecast probability and the frequency of 30 and 50 kt winds. (Author) Text Southern Ocean Defense Technical Information Center: DTIC Technical Reports database Southern Ocean
institution Open Polar
collection Defense Technical Information Center: DTIC Technical Reports database
op_collection_id ftdtic
language English
topic Meteorology
Statistics and Probability
*TROPICAL CYCLONES
*WIND
ATMOSPHERE MODELS
PROFILES
ERRORS
PROBABILITY
WIND VELOCITY
AREA COVERAGE
RADIUS(MEASURE)
GEOGRAPHIC DISTRIBUTION
THREATS
OCEANS
SOUTHERN HEMISPHERE
BIVARIATE ANALYSIS
CORRELATION
PROBABILITY DISTRIBUTION FUNCTIONS
Ocean basins
Southern ocean
Tropical cyclone strike probability
WINDPSH computer program
Forward speed
PE63207N
WU6314
spellingShingle Meteorology
Statistics and Probability
*TROPICAL CYCLONES
*WIND
ATMOSPHERE MODELS
PROFILES
ERRORS
PROBABILITY
WIND VELOCITY
AREA COVERAGE
RADIUS(MEASURE)
GEOGRAPHIC DISTRIBUTION
THREATS
OCEANS
SOUTHERN HEMISPHERE
BIVARIATE ANALYSIS
CORRELATION
PROBABILITY DISTRIBUTION FUNCTIONS
Ocean basins
Southern ocean
Tropical cyclone strike probability
WINDPSH computer program
Forward speed
PE63207N
WU6314
Jarrell,J D
Tropical Cyclone Wind Probability Forecasting for the Southern Hemisphere (WINDPSH).
topic_facet Meteorology
Statistics and Probability
*TROPICAL CYCLONES
*WIND
ATMOSPHERE MODELS
PROFILES
ERRORS
PROBABILITY
WIND VELOCITY
AREA COVERAGE
RADIUS(MEASURE)
GEOGRAPHIC DISTRIBUTION
THREATS
OCEANS
SOUTHERN HEMISPHERE
BIVARIATE ANALYSIS
CORRELATION
PROBABILITY DISTRIBUTION FUNCTIONS
Ocean basins
Southern ocean
Tropical cyclone strike probability
WINDPSH computer program
Forward speed
PE63207N
WU6314
description The development of a model to estimate 30 and 50 kt wind probabilities from Southern Hemisphere tropical cyclone forecasts is described. The model is based on position forecast errors, which are used to determine the probability of a tropical cyclone occupying a particular geographical position, and on wind profile errors. Wind profile errors consist of errors in the forecast maximum wind and errors in the forecast radius of 30 kt and 50 kt winds. The profile errors are used to estimate the probability of 30 and 50 kt winds occurring at a point, given that the tropical cyclone occupies a particular position. These position and wind probability elements are combined by using an assumption of independence which was supported by correlation coefficients in an earlier work. The model, which includes features of earlier strike and wind probability models, is tested on independent data. Test results show good agreement between forecast probability and the frequency of 30 and 50 kt winds. (Author)
author2 SCIENCE APPLICATIONS INC MONTEREY CA
format Text
author Jarrell,J D
author_facet Jarrell,J D
author_sort Jarrell,J D
title Tropical Cyclone Wind Probability Forecasting for the Southern Hemisphere (WINDPSH).
title_short Tropical Cyclone Wind Probability Forecasting for the Southern Hemisphere (WINDPSH).
title_full Tropical Cyclone Wind Probability Forecasting for the Southern Hemisphere (WINDPSH).
title_fullStr Tropical Cyclone Wind Probability Forecasting for the Southern Hemisphere (WINDPSH).
title_full_unstemmed Tropical Cyclone Wind Probability Forecasting for the Southern Hemisphere (WINDPSH).
title_sort tropical cyclone wind probability forecasting for the southern hemisphere (windpsh).
publishDate 1983
url http://www.dtic.mil/docs/citations/ADA136146
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA136146
geographic Southern Ocean
geographic_facet Southern Ocean
genre Southern Ocean
genre_facet Southern Ocean
op_source DTIC AND NTIS
op_relation http://www.dtic.mil/docs/citations/ADA136146
op_rights APPROVED FOR PUBLIC RELEASE
_version_ 1766207116826116096