YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Weather and Forecasting
    • View Item
    •   YE&T Library
    • AMS
    • Weather and Forecasting
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Stratus and Fog Products Using GOES-8–9 3.9-μm Data

    Source: Weather and Forecasting:;1997:;volume( 012 ):;issue: 003::page 664
    Author:
    Lee, Thomas F.
    ,
    Turk, F. Joseph
    ,
    Richardson, Kim
    DOI: 10.1175/1520-0434(1997)012<0664:SAFPUG>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Using data from the GOES-8?9 imager, this paper discusses the potential for consistent, around-the-clock image products that can trace the movement and evolution of low, stratiform clouds. In particular, the paper discusses how bispectral image sequences based on the shortwave (3.9 ?m) and longwave (10.7 ?m) infrared channels can be developed for this purpose. These sequences can be animated to produce useful loops. The techniques address several problems faced by operational forecasters in the tracking of low clouds. Low clouds are often difficult or impossible to detect at night because of the poor thermal contrast with the background on infrared images. During the day, although solar reflection makes low, stratiform clouds bright on GOES visible images, it is difficult to distinguish low clouds from adjacent ground snowcover or dense cirrus overcasts. The shortwave infrared channel often gives a superior delineation of low clouds on images because water droplets produce much higher reflectances than ice clouds or ground snowcover. Combined with the longwave channel, the shortwave channel can be used to derive products that can distinguish low clouds from the background at any time of day or night. The first case study discusses cloud properties as observed from the shortwave channels from the polar-orbiting Advanced Very High Resolution Radiometer, as well as GOES-9, and applies a correction to produce shortwave reflectance. A second case study illustrates the use of the GOES-8 shortwave channel to observe the aftermath of a spring snowstorm in the Ohio Valley. Finally, the paper discusses a red?blue?green color combination technique to build useful forecaster products.
    • Download: (456.4Kb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Stratus and Fog Products Using GOES-8–9 3.9-μm Data

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4166345
    Collections
    • Weather and Forecasting

    Show full item record

    contributor authorLee, Thomas F.
    contributor authorTurk, F. Joseph
    contributor authorRichardson, Kim
    date accessioned2017-06-09T14:53:45Z
    date available2017-06-09T14:53:45Z
    date copyright1997/09/01
    date issued1997
    identifier issn0882-8156
    identifier otherams-2915.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4166345
    description abstractUsing data from the GOES-8?9 imager, this paper discusses the potential for consistent, around-the-clock image products that can trace the movement and evolution of low, stratiform clouds. In particular, the paper discusses how bispectral image sequences based on the shortwave (3.9 ?m) and longwave (10.7 ?m) infrared channels can be developed for this purpose. These sequences can be animated to produce useful loops. The techniques address several problems faced by operational forecasters in the tracking of low clouds. Low clouds are often difficult or impossible to detect at night because of the poor thermal contrast with the background on infrared images. During the day, although solar reflection makes low, stratiform clouds bright on GOES visible images, it is difficult to distinguish low clouds from adjacent ground snowcover or dense cirrus overcasts. The shortwave infrared channel often gives a superior delineation of low clouds on images because water droplets produce much higher reflectances than ice clouds or ground snowcover. Combined with the longwave channel, the shortwave channel can be used to derive products that can distinguish low clouds from the background at any time of day or night. The first case study discusses cloud properties as observed from the shortwave channels from the polar-orbiting Advanced Very High Resolution Radiometer, as well as GOES-9, and applies a correction to produce shortwave reflectance. A second case study illustrates the use of the GOES-8 shortwave channel to observe the aftermath of a spring snowstorm in the Ohio Valley. Finally, the paper discusses a red?blue?green color combination technique to build useful forecaster products.
    publisherAmerican Meteorological Society
    titleStratus and Fog Products Using GOES-8–9 3.9-μm Data
    typeJournal Paper
    journal volume12
    journal issue3
    journal titleWeather and Forecasting
    identifier doi10.1175/1520-0434(1997)012<0664:SAFPUG>2.0.CO;2
    journal fristpage664
    journal lastpage677
    treeWeather and Forecasting:;1997:;volume( 012 ):;issue: 003
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian