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    The Estimation of Emitted and Reflected Energy over the Central Pacific Using Meteorological Parameters

    Source: Journal of Climate:;1995:;volume( 008 ):;issue: 004::page 762
    Author:
    Mecherikunnel, Ann
    ,
    Weiss, Mitchell
    ,
    Penn, Lanning
    DOI: 10.1175/1520-0442(1995)008<0762:TEOEAR>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The authors conducted a quantitative investigation of the relationship between meteorological parameters (chiefly cloud cover) and the principal components of the earth's radiation budget. The area of study is the tropical central Pacific, where considerable variation in cloudiness and flux was observed from 1985 to 1989. The observed variations were in response to the El Niñto-Southern Oscillation event of 1987. International Satellite Cloud Climatology Project (ISCCP)C2 parameters were used as independent variables in the development of multiple linear models to predict Earth Radiation Budget Experiment (ERBE) outgoing longwave radiation (OLR) and shortwave (SW) fluxes. Net radiation estimates were obtained from OLR and SW predicted fluxes. The technique of all-subsets regression was used to determine which combination of ISCCP C2 parameters could best predict OLR and SW fluxes. The models were developed for the years 1985 and 1989 (non-ENSO years) and tested by both month and year on the years 1986 through 1988. Predicted fluxes were obtained for three 15° latitude zones, north (7.5°S to 22.5°N), central (7.5°S to 7.5°N), and south (7.5°S to 22.5°S). Over the 60 months of data, explained variances (R2) of over 90% for the development and test periods were typical. An increase in the accuracy of the GLR models was observed when noncloud variables were included. This accuracy improvement was most apparent when cloud amounts were either very low or very high and homogeneous. Biases (predicted-observed) were all less than 4 Wm?2 and rms estimates were within the range of uncertainty for FRBE monthly mean flux estimates. Flux estimates based on linear models could serve as a means of extending long-term radiation balance datasets during intervals of time with limited satellite coverage.
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      The Estimation of Emitted and Reflected Energy over the Central Pacific Using Meteorological Parameters

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4181979
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    contributor authorMecherikunnel, Ann
    contributor authorWeiss, Mitchell
    contributor authorPenn, Lanning
    date accessioned2017-06-09T15:25:14Z
    date available2017-06-09T15:25:14Z
    date copyright1995/04/01
    date issued1995
    identifier issn0894-8755
    identifier otherams-4322.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4181979
    description abstractThe authors conducted a quantitative investigation of the relationship between meteorological parameters (chiefly cloud cover) and the principal components of the earth's radiation budget. The area of study is the tropical central Pacific, where considerable variation in cloudiness and flux was observed from 1985 to 1989. The observed variations were in response to the El Niñto-Southern Oscillation event of 1987. International Satellite Cloud Climatology Project (ISCCP)C2 parameters were used as independent variables in the development of multiple linear models to predict Earth Radiation Budget Experiment (ERBE) outgoing longwave radiation (OLR) and shortwave (SW) fluxes. Net radiation estimates were obtained from OLR and SW predicted fluxes. The technique of all-subsets regression was used to determine which combination of ISCCP C2 parameters could best predict OLR and SW fluxes. The models were developed for the years 1985 and 1989 (non-ENSO years) and tested by both month and year on the years 1986 through 1988. Predicted fluxes were obtained for three 15° latitude zones, north (7.5°S to 22.5°N), central (7.5°S to 7.5°N), and south (7.5°S to 22.5°S). Over the 60 months of data, explained variances (R2) of over 90% for the development and test periods were typical. An increase in the accuracy of the GLR models was observed when noncloud variables were included. This accuracy improvement was most apparent when cloud amounts were either very low or very high and homogeneous. Biases (predicted-observed) were all less than 4 Wm?2 and rms estimates were within the range of uncertainty for FRBE monthly mean flux estimates. Flux estimates based on linear models could serve as a means of extending long-term radiation balance datasets during intervals of time with limited satellite coverage.
    publisherAmerican Meteorological Society
    titleThe Estimation of Emitted and Reflected Energy over the Central Pacific Using Meteorological Parameters
    typeJournal Paper
    journal volume8
    journal issue4
    journal titleJournal of Climate
    identifier doi10.1175/1520-0442(1995)008<0762:TEOEAR>2.0.CO;2
    journal fristpage762
    journal lastpage772
    treeJournal of Climate:;1995:;volume( 008 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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