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    Effects of the Choice of Meteorological Data on a Radiation Model Simulation of the NOAA Technique for Estimating Outgoing Longwave Radiation from Satellite Radiance Observations

    Source: Journal of Climate:;1989:;volume( 002 ):;issue: 008::page 761
    Author:
    Ellingson, Robert G.
    ,
    Yanuk, David J.
    ,
    Gruber, Arnold
    DOI: 10.1175/1520-0442(1989)002<0761:EOTCOM>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The technique used by NOAA to estimate the outgoing longwave flux from 10 ?m window radiance observations has been reexamined because the data that result from the application of the empirically determined regression equation are systematically lower than those obtained from regression models based on earlier radiative transfer calculations. A new set of radiation calculations was made from a set of 1600 atmospheric soundings and the resulting regression equation gives flux differences from the empirical model that are of the order of ±5 W m?2 over the range of 150 to 300 W m?2, as compared to the +10 W m?2 systematic differences from previous studies. The differences are attributed to the size and representativeness of the sample of soundings used in the radiation calculations. The results also show that although the explained variance of the regression is of the order of 95%, this type of estimation technique may make errors of ±20 W m?2 or larger for a given radiance observation. This will lead to biased average flux estimates in geographical regions where the temperature and moisture profiles change little over extended time periods.
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      Effects of the Choice of Meteorological Data on a Radiation Model Simulation of the NOAA Technique for Estimating Outgoing Longwave Radiation from Satellite Radiance Observations

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4174056
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    contributor authorEllingson, Robert G.
    contributor authorYanuk, David J.
    contributor authorGruber, Arnold
    date accessioned2017-06-09T15:09:44Z
    date available2017-06-09T15:09:44Z
    date copyright1989/08/01
    date issued1989
    identifier issn0894-8755
    identifier otherams-3609.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4174056
    description abstractThe technique used by NOAA to estimate the outgoing longwave flux from 10 ?m window radiance observations has been reexamined because the data that result from the application of the empirically determined regression equation are systematically lower than those obtained from regression models based on earlier radiative transfer calculations. A new set of radiation calculations was made from a set of 1600 atmospheric soundings and the resulting regression equation gives flux differences from the empirical model that are of the order of ±5 W m?2 over the range of 150 to 300 W m?2, as compared to the +10 W m?2 systematic differences from previous studies. The differences are attributed to the size and representativeness of the sample of soundings used in the radiation calculations. The results also show that although the explained variance of the regression is of the order of 95%, this type of estimation technique may make errors of ±20 W m?2 or larger for a given radiance observation. This will lead to biased average flux estimates in geographical regions where the temperature and moisture profiles change little over extended time periods.
    publisherAmerican Meteorological Society
    titleEffects of the Choice of Meteorological Data on a Radiation Model Simulation of the NOAA Technique for Estimating Outgoing Longwave Radiation from Satellite Radiance Observations
    typeJournal Paper
    journal volume2
    journal issue8
    journal titleJournal of Climate
    identifier doi10.1175/1520-0442(1989)002<0761:EOTCOM>2.0.CO;2
    journal fristpage761
    journal lastpage765
    treeJournal of Climate:;1989:;volume( 002 ):;issue: 008
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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