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    Statistical Forecasts of 24, 48 and 72 h Typhoon and Tropical Storm Intensity Changes

    Source: Journal of Applied Meteorology:;1975:;volume( 014 ):;issue: 004::page 445
    Author:
    Elsberry, Russell L.
    ,
    Coltrane, Glenn G.
    ,
    Krueger, Paul L.
    DOI: 10.1175/1520-0450(1975)014<0445:SFOAHT>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A 10 year (1960?69) sample of observations in western North Pacific tropical cyclones over open ocean was used to derive statistical regression equations to forecast the maximum wind speed for 24, 48 and 72 h periods. Stratification of the dependent data by latitude bands, by months, and by maximum intensity were tested with both five-predictor and ten-predictor equations. An independent sample of tropical cyclones (July, August and September of 1955?59) was used to test the derived regression equations. Verification was in terms of the relative forecast error according to the acceptability criteria set by the Joint Typhoon Warning Center, Guam. Equations derived from a combined dependent sample of July, August and September storms stratified into two bands (one north, one south of 20°N) produced forecasts which were equivalent or superior to equations derived from storms stratified by months or in three 10° bands from 5°N to 35°N. These two five-predictor equations for the 24 h period were also superior to equations derived for storms within the classes ≤65, 66?100 and ≥101 kt. Although not tested with a homogeneous set of forecasts using operational data rather than post-season data, the objective forecast technique appears to give results comparable to or better than recent official intensity forecasts, especially for the 72 h interval.
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      Statistical Forecasts of 24, 48 and 72 h Typhoon and Tropical Storm Intensity Changes

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4232287
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    contributor authorElsberry, Russell L.
    contributor authorColtrane, Glenn G.
    contributor authorKrueger, Paul L.
    date accessioned2017-06-09T17:38:06Z
    date available2017-06-09T17:38:06Z
    date copyright1975/06/01
    date issued1975
    identifier issn0021-8952
    identifier otherams-8863.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4232287
    description abstractA 10 year (1960?69) sample of observations in western North Pacific tropical cyclones over open ocean was used to derive statistical regression equations to forecast the maximum wind speed for 24, 48 and 72 h periods. Stratification of the dependent data by latitude bands, by months, and by maximum intensity were tested with both five-predictor and ten-predictor equations. An independent sample of tropical cyclones (July, August and September of 1955?59) was used to test the derived regression equations. Verification was in terms of the relative forecast error according to the acceptability criteria set by the Joint Typhoon Warning Center, Guam. Equations derived from a combined dependent sample of July, August and September storms stratified into two bands (one north, one south of 20°N) produced forecasts which were equivalent or superior to equations derived from storms stratified by months or in three 10° bands from 5°N to 35°N. These two five-predictor equations for the 24 h period were also superior to equations derived for storms within the classes ≤65, 66?100 and ≥101 kt. Although not tested with a homogeneous set of forecasts using operational data rather than post-season data, the objective forecast technique appears to give results comparable to or better than recent official intensity forecasts, especially for the 72 h interval.
    publisherAmerican Meteorological Society
    titleStatistical Forecasts of 24, 48 and 72 h Typhoon and Tropical Storm Intensity Changes
    typeJournal Paper
    journal volume14
    journal issue4
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(1975)014<0445:SFOAHT>2.0.CO;2
    journal fristpage445
    journal lastpage451
    treeJournal of Applied Meteorology:;1975:;volume( 014 ):;issue: 004
    contenttypeFulltext
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