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    Comparison of Satellite Cloud Masks with Ceilometer Sky Conditions in Southern Finland

    Source: Journal of Applied Meteorology and Climatology:;2010:;volume( 049 ):;issue: 012::page 2508
    Author:
    Joro, Sauli
    ,
    Hyvärinen, Otto
    ,
    Kotro, Janne
    DOI: 10.1175/2010JAMC2442.1
    Publisher: American Meteorological Society
    Abstract: The cloud mask is an essential product derived from satellite data. Whereas cloud analysis applications typically make use of information from cloudy pixels, many other applications require cloud-free conditions. For this reason many organizations have their own cloud masks tuned to serve their particular needs. Being a fundamental product, continuous quality monitoring and validation of these cloud masks are vital. This study evaluated the performance of the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Meteorological Products Extraction Facility cloud mask (MPEF), together with the Nowcasting Satellite Application Facility (SAFNWC) cloud masks provided by Météo-France (SAFNWC/MSG) and the Swedish Meteorological and Hydrological Institute (SAFNWC/PPS), in the high-latitude area of greater Helsinki in Finland. The first two used the Spinning Enhanced Visible and Infrared Imager (SEVIRI) instrument from the geostationary Meteosat-8 satellite, whereas the last used the Advanced Very High Resolution Radiometer (AVHRR) instrument on board the polar-orbiting NOAA satellite series. Ceilometer data from the Helsinki Testbed, an extensive observation network covering the greater Helsinki area in Finland, were used as reference data in the cloud mask comparison. A computational method, called bootstrapping, is introduced to account for the strong temporal and spatial correlation of the ceilometer observations. The method also allows the calculation of the confidence intervals (CI) for the results. This study comprised data from February and August 2006. In general, the SAFNWC/MSG algorithm performed better than MPEF. Differences were found especially in the early morning low cloud detection. The SAFNWC/PPS cloud mask performed very well in August, better than geostationary-based masks, but had problems in February when its performance was worse. The use of the CIs gave the results more depth, and their use should be encouraged.
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      Comparison of Satellite Cloud Masks with Ceilometer Sky Conditions in Southern Finland

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4211785
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    • Journal of Applied Meteorology and Climatology

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    contributor authorJoro, Sauli
    contributor authorHyvärinen, Otto
    contributor authorKotro, Janne
    date accessioned2017-06-09T16:33:48Z
    date available2017-06-09T16:33:48Z
    date copyright2010/12/01
    date issued2010
    identifier issn1558-8424
    identifier otherams-70047.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4211785
    description abstractThe cloud mask is an essential product derived from satellite data. Whereas cloud analysis applications typically make use of information from cloudy pixels, many other applications require cloud-free conditions. For this reason many organizations have their own cloud masks tuned to serve their particular needs. Being a fundamental product, continuous quality monitoring and validation of these cloud masks are vital. This study evaluated the performance of the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Meteorological Products Extraction Facility cloud mask (MPEF), together with the Nowcasting Satellite Application Facility (SAFNWC) cloud masks provided by Météo-France (SAFNWC/MSG) and the Swedish Meteorological and Hydrological Institute (SAFNWC/PPS), in the high-latitude area of greater Helsinki in Finland. The first two used the Spinning Enhanced Visible and Infrared Imager (SEVIRI) instrument from the geostationary Meteosat-8 satellite, whereas the last used the Advanced Very High Resolution Radiometer (AVHRR) instrument on board the polar-orbiting NOAA satellite series. Ceilometer data from the Helsinki Testbed, an extensive observation network covering the greater Helsinki area in Finland, were used as reference data in the cloud mask comparison. A computational method, called bootstrapping, is introduced to account for the strong temporal and spatial correlation of the ceilometer observations. The method also allows the calculation of the confidence intervals (CI) for the results. This study comprised data from February and August 2006. In general, the SAFNWC/MSG algorithm performed better than MPEF. Differences were found especially in the early morning low cloud detection. The SAFNWC/PPS cloud mask performed very well in August, better than geostationary-based masks, but had problems in February when its performance was worse. The use of the CIs gave the results more depth, and their use should be encouraged.
    publisherAmerican Meteorological Society
    titleComparison of Satellite Cloud Masks with Ceilometer Sky Conditions in Southern Finland
    typeJournal Paper
    journal volume49
    journal issue12
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/2010JAMC2442.1
    journal fristpage2508
    journal lastpage2526
    treeJournal of Applied Meteorology and Climatology:;2010:;volume( 049 ):;issue: 012
    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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