EXPERIMENTS IN NUMERICAL FORECASTING OF TROPICAL STORM MOVEMENT.

Numerical prediction is rapidly becoming the most accurate approach to forecasting tropical cyclones. The numerical model in this study utilizes the U.S. Navy Fleet Numerical Weather Facility's (FNWF) so-called decomposition (SR) fields to produce geostrophic steering currents for tropical stor...

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Main Author: Kerr, James Earl
Other Authors: NAVAL POSTGRADUATE SCHOOL MONTEREY CA
Format: Text
Language:English
Published: 1966
Subjects:
Online Access:http://www.dtic.mil/docs/citations/AD0807381
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=AD0807381
id ftdtic:AD0807381
record_format openpolar
spelling ftdtic:AD0807381 2023-05-15T17:33:44+02:00 EXPERIMENTS IN NUMERICAL FORECASTING OF TROPICAL STORM MOVEMENT. Kerr, James Earl NAVAL POSTGRADUATE SCHOOL MONTEREY CA 1966-10 text/html http://www.dtic.mil/docs/citations/AD0807381 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=AD0807381 en eng http://www.dtic.mil/docs/citations/AD0807381 APPROVED FOR PUBLIC RELEASE DTIC AND NTIS Meteorology Statistics and Probability (*TROPICAL CYCLONES WEATHER FORECASTING) NUMERICAL METHODS AND PROCEDURES THESES TRACKING CORIOLIS EFFECT BAROMETRIC PRESSURE PERIODIC VARIATIONS ATMOSPHERIC MOTION ATMOSPHERIC PRECIPITATION OPTIMIZATION ATLANTIC OCEAN PACIFIC OCEAN ACCURACY STATISTICAL ANALYSIS AIR MASS ANALYSIS NORTH ATLANTIC OCEAN NORTH PACIFIC OCEAN Text 1966 ftdtic 2016-02-19T05:04:01Z Numerical prediction is rapidly becoming the most accurate approach to forecasting tropical cyclones. The numerical model in this study utilizes the U.S. Navy Fleet Numerical Weather Facility's (FNWF) so-called decomposition (SR) fields to produce geostrophic steering currents for tropical storms and/or hurricanes and typhoons. Fifteen of the 1965 hurricanes and typhoons were used to obtain over 200 twelve and twenty-four hour storm predictions, in one-hour time steps, for each of the following FNWF analyses: 1000, 500, 200, 1000/500, 1000/200, and 500/200 -mb SR fields. Results indicate that the 500-mb SR fields, including a statistical correction for latitude and/or longitude, yielded the least forecast error for Pacific typhoons with average 12 and 24-hour storm errors of 69 nm and 154 nm, respectively. Forecasts for Atlantic hurricanes verified best for 12-hour forecasts at 1000 mb, using a similar geographical modification, with an average error of 97 nm. For 24 hours the hurricanes were steered best at 500 mb, with modification, resulting in an average forecast error of 177 nm. (Author) Text North Atlantic Defense Technical Information Center: DTIC Technical Reports database Pacific
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
WEATHER FORECASTING)
NUMERICAL METHODS AND PROCEDURES
THESES
TRACKING
CORIOLIS EFFECT
BAROMETRIC PRESSURE
PERIODIC VARIATIONS
ATMOSPHERIC MOTION
ATMOSPHERIC PRECIPITATION
OPTIMIZATION
ATLANTIC OCEAN
PACIFIC OCEAN
ACCURACY
STATISTICAL ANALYSIS
AIR MASS ANALYSIS
NORTH ATLANTIC OCEAN
NORTH PACIFIC OCEAN
spellingShingle Meteorology
Statistics and Probability
(*TROPICAL CYCLONES
WEATHER FORECASTING)
NUMERICAL METHODS AND PROCEDURES
THESES
TRACKING
CORIOLIS EFFECT
BAROMETRIC PRESSURE
PERIODIC VARIATIONS
ATMOSPHERIC MOTION
ATMOSPHERIC PRECIPITATION
OPTIMIZATION
ATLANTIC OCEAN
PACIFIC OCEAN
ACCURACY
STATISTICAL ANALYSIS
AIR MASS ANALYSIS
NORTH ATLANTIC OCEAN
NORTH PACIFIC OCEAN
Kerr, James Earl
EXPERIMENTS IN NUMERICAL FORECASTING OF TROPICAL STORM MOVEMENT.
topic_facet Meteorology
Statistics and Probability
(*TROPICAL CYCLONES
WEATHER FORECASTING)
NUMERICAL METHODS AND PROCEDURES
THESES
TRACKING
CORIOLIS EFFECT
BAROMETRIC PRESSURE
PERIODIC VARIATIONS
ATMOSPHERIC MOTION
ATMOSPHERIC PRECIPITATION
OPTIMIZATION
ATLANTIC OCEAN
PACIFIC OCEAN
ACCURACY
STATISTICAL ANALYSIS
AIR MASS ANALYSIS
NORTH ATLANTIC OCEAN
NORTH PACIFIC OCEAN
description Numerical prediction is rapidly becoming the most accurate approach to forecasting tropical cyclones. The numerical model in this study utilizes the U.S. Navy Fleet Numerical Weather Facility's (FNWF) so-called decomposition (SR) fields to produce geostrophic steering currents for tropical storms and/or hurricanes and typhoons. Fifteen of the 1965 hurricanes and typhoons were used to obtain over 200 twelve and twenty-four hour storm predictions, in one-hour time steps, for each of the following FNWF analyses: 1000, 500, 200, 1000/500, 1000/200, and 500/200 -mb SR fields. Results indicate that the 500-mb SR fields, including a statistical correction for latitude and/or longitude, yielded the least forecast error for Pacific typhoons with average 12 and 24-hour storm errors of 69 nm and 154 nm, respectively. Forecasts for Atlantic hurricanes verified best for 12-hour forecasts at 1000 mb, using a similar geographical modification, with an average error of 97 nm. For 24 hours the hurricanes were steered best at 500 mb, with modification, resulting in an average forecast error of 177 nm. (Author)
author2 NAVAL POSTGRADUATE SCHOOL MONTEREY CA
format Text
author Kerr, James Earl
author_facet Kerr, James Earl
author_sort Kerr, James Earl
title EXPERIMENTS IN NUMERICAL FORECASTING OF TROPICAL STORM MOVEMENT.
title_short EXPERIMENTS IN NUMERICAL FORECASTING OF TROPICAL STORM MOVEMENT.
title_full EXPERIMENTS IN NUMERICAL FORECASTING OF TROPICAL STORM MOVEMENT.
title_fullStr EXPERIMENTS IN NUMERICAL FORECASTING OF TROPICAL STORM MOVEMENT.
title_full_unstemmed EXPERIMENTS IN NUMERICAL FORECASTING OF TROPICAL STORM MOVEMENT.
title_sort experiments in numerical forecasting of tropical storm movement.
publishDate 1966
url http://www.dtic.mil/docs/citations/AD0807381
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=AD0807381
geographic Pacific
geographic_facet Pacific
genre North Atlantic
genre_facet North Atlantic
op_source DTIC AND NTIS
op_relation http://www.dtic.mil/docs/citations/AD0807381
op_rights APPROVED FOR PUBLIC RELEASE
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