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    Merged Cloud and Precipitation Dataset from the HIAPER GV for the Cloud System Evolution in the Trades (CSET) Campaign

    Source: Journal of Atmospheric and Oceanic Technology:;2019:;volume 036:;issue 006::page 921
    Author:
    Schwartz, M. Christian
    ,
    Ghate, Virendra P.
    ,
    Albrecht, Bruce. A.
    ,
    Zuidema, Paquita
    ,
    Cadeddu, Maria P.
    ,
    Vivekanandan, Jothiram
    ,
    Ellis, Scott M.
    ,
    Tsai, Pei
    ,
    Eloranta, Edwin W.
    ,
    Mohrmann, Johannes
    ,
    Wood, Robert
    ,
    Bretherton, Christopher S.
    DOI: 10.1175/JTECH-D-18-0111.1
    Publisher: American Meteorological Society
    Abstract: AbstractThe Cloud System Evolution in the Trades (CSET) aircraft campaign was conducted in the summer of 2015 in the northeast Pacific to observe the transition from stratocumulus to cumulus cloud regime. Fourteen transects were made between Sacramento, California, and Kona, Hawaii, using the NCAR?s High-Performance Instrumented Airborne Platform for Environmental Research (HIAPER) Gulfstream V (GV) aircraft. The HIAPER W-band Doppler cloud radar (HCR) and the high-spectral-resolution lidar (HSRL), in their first deployment together on board the GV, provided crucial cloud and precipitation observations. The HCR recorded the raw in-phase (I) and quadrature (Q) components of the digitized signal, from which the Doppler spectra and its first three moments were calculated. HCR/HSRL data were merged to develop a hydrometeor mask on a uniform georeferenced grid of 2-Hz temporal and 20-m vertical resolutions. The hydrometeors are classified as cloud or precipitation using a simple fuzzy logic technique based on the HCR mean Doppler velocity, HSRL backscatter, and the ratio of HCR reflectivity to HSRL backscatter. This is primarily applied during zenith-pointing conditions under which the lidar can detect the cloud base and the radar is more sensitive to clouds. The microphysical properties of below-cloud drizzle and optically thin clouds were retrieved using the HCR reflectivity, HSRL backscatter, and the HCR Doppler spectrum width after it is corrected for the aircraft speed. These indicate that as the boundary layers deepen and cloud-top heights increase toward the equator, both the cloud and rain fractions decrease.
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      Merged Cloud and Precipitation Dataset from the HIAPER GV for the Cloud System Evolution in the Trades (CSET) Campaign

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4263348
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    contributor authorSchwartz, M. Christian
    contributor authorGhate, Virendra P.
    contributor authorAlbrecht, Bruce. A.
    contributor authorZuidema, Paquita
    contributor authorCadeddu, Maria P.
    contributor authorVivekanandan, Jothiram
    contributor authorEllis, Scott M.
    contributor authorTsai, Pei
    contributor authorEloranta, Edwin W.
    contributor authorMohrmann, Johannes
    contributor authorWood, Robert
    contributor authorBretherton, Christopher S.
    date accessioned2019-10-05T06:45:56Z
    date available2019-10-05T06:45:56Z
    date copyright3/21/2019 12:00:00 AM
    date issued2019
    identifier otherJTECH-D-18-0111.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4263348
    description abstractAbstractThe Cloud System Evolution in the Trades (CSET) aircraft campaign was conducted in the summer of 2015 in the northeast Pacific to observe the transition from stratocumulus to cumulus cloud regime. Fourteen transects were made between Sacramento, California, and Kona, Hawaii, using the NCAR?s High-Performance Instrumented Airborne Platform for Environmental Research (HIAPER) Gulfstream V (GV) aircraft. The HIAPER W-band Doppler cloud radar (HCR) and the high-spectral-resolution lidar (HSRL), in their first deployment together on board the GV, provided crucial cloud and precipitation observations. The HCR recorded the raw in-phase (I) and quadrature (Q) components of the digitized signal, from which the Doppler spectra and its first three moments were calculated. HCR/HSRL data were merged to develop a hydrometeor mask on a uniform georeferenced grid of 2-Hz temporal and 20-m vertical resolutions. The hydrometeors are classified as cloud or precipitation using a simple fuzzy logic technique based on the HCR mean Doppler velocity, HSRL backscatter, and the ratio of HCR reflectivity to HSRL backscatter. This is primarily applied during zenith-pointing conditions under which the lidar can detect the cloud base and the radar is more sensitive to clouds. The microphysical properties of below-cloud drizzle and optically thin clouds were retrieved using the HCR reflectivity, HSRL backscatter, and the HCR Doppler spectrum width after it is corrected for the aircraft speed. These indicate that as the boundary layers deepen and cloud-top heights increase toward the equator, both the cloud and rain fractions decrease.
    publisherAmerican Meteorological Society
    titleMerged Cloud and Precipitation Dataset from the HIAPER GV for the Cloud System Evolution in the Trades (CSET) Campaign
    typeJournal Paper
    journal volume36
    journal issue6
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/JTECH-D-18-0111.1
    journal fristpage921
    journal lastpage940
    treeJournal of Atmospheric and Oceanic Technology:;2019:;volume 036:;issue 006
    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