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    Assessment of Implementing Satellite-Derived Land Cover Data in the Eta Model

    Source: Weather and Forecasting:;2003:;volume( 018 ):;issue: 003::page 404
    Author:
    Kurkowski, Nicole P.
    ,
    Stensrud, David J.
    ,
    Baldwin, Michael E.
    DOI: 10.1175/1520-0434(2003)18<404:AOISDL>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: One of the challenges in land surface modeling involves specifying accurately the initial state of the land surface. Most efforts have focused upon using a multiyear climatology to specify the fractional coverage of vegetation. For example, the National Centers for Environmental Prediction (NCEP) Eta Model uses a 5-yr satellite climatology of monthly normalized difference vegetation index (NDVI) values to define the fractional vegetation coverage, or greenness, at 1/8° (approximately 14 km) resolution. These data are valid on the 15th of every month and are interpolated temporally for daily runs. Yet vegetation characteristics change from year to year and are influenced by short-lived events such as fires, crop harvesting, droughts, floods, and hailstorms that are missed using a climatological database. To explore the importance of the initial state vegetation characteristics on operational numerical weather forecasts, the response of the Eta Model to initializing fractional vegetation coverage directly from the National Oceanic and Atmospheric Administration's Advanced Very High Resolution Radiometer (AVHRR) data is investigated. Numerical forecasts of the Eta Model, using both climatological and near-real-time values of fractional vegetation coverage, are compared with observations to examine the potential importance of variations in vegetation to forecasts of 2-m temperatures and dewpoint temperatures from 0 to 48 h for selected days during the 2001 growing season. Results show that use of the near-real-time vegetation fraction data improves the forecasts of both the 2-m temperature and dewpoint temperature for much of the growing season, highlighting the need for this type of information to be included in operational forecast models.
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      Assessment of Implementing Satellite-Derived Land Cover Data in the Eta Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4171534
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    • Weather and Forecasting

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    contributor authorKurkowski, Nicole P.
    contributor authorStensrud, David J.
    contributor authorBaldwin, Michael E.
    date accessioned2017-06-09T15:04:58Z
    date available2017-06-09T15:04:58Z
    date copyright2003/06/01
    date issued2003
    identifier issn0882-8156
    identifier otherams-3382.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4171534
    description abstractOne of the challenges in land surface modeling involves specifying accurately the initial state of the land surface. Most efforts have focused upon using a multiyear climatology to specify the fractional coverage of vegetation. For example, the National Centers for Environmental Prediction (NCEP) Eta Model uses a 5-yr satellite climatology of monthly normalized difference vegetation index (NDVI) values to define the fractional vegetation coverage, or greenness, at 1/8° (approximately 14 km) resolution. These data are valid on the 15th of every month and are interpolated temporally for daily runs. Yet vegetation characteristics change from year to year and are influenced by short-lived events such as fires, crop harvesting, droughts, floods, and hailstorms that are missed using a climatological database. To explore the importance of the initial state vegetation characteristics on operational numerical weather forecasts, the response of the Eta Model to initializing fractional vegetation coverage directly from the National Oceanic and Atmospheric Administration's Advanced Very High Resolution Radiometer (AVHRR) data is investigated. Numerical forecasts of the Eta Model, using both climatological and near-real-time values of fractional vegetation coverage, are compared with observations to examine the potential importance of variations in vegetation to forecasts of 2-m temperatures and dewpoint temperatures from 0 to 48 h for selected days during the 2001 growing season. Results show that use of the near-real-time vegetation fraction data improves the forecasts of both the 2-m temperature and dewpoint temperature for much of the growing season, highlighting the need for this type of information to be included in operational forecast models.
    publisherAmerican Meteorological Society
    titleAssessment of Implementing Satellite-Derived Land Cover Data in the Eta Model
    typeJournal Paper
    journal volume18
    journal issue3
    journal titleWeather and Forecasting
    identifier doi10.1175/1520-0434(2003)18<404:AOISDL>2.0.CO;2
    journal fristpage404
    journal lastpage416
    treeWeather and Forecasting:;2003:;volume( 018 ):;issue: 003
    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
    yabeshDSpacePersian