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    Evaluation of Operational and Experimental Precipitation Algorithms and Microphysical Insights during IPHEx

    Source: Journal of Hydrometeorology:;2017:;volume 019:;issue 001::page 113
    Author:
    Erlingis, Jessica M.
    ,
    Gourley, Jonathan J.
    ,
    Kirstetter, Pierre-Emmanuel
    ,
    Anagnostou, Emmanouil N.
    ,
    Kalogiros, John
    ,
    Anagnostou, Marios N.
    ,
    Petersen, Walt
    DOI: 10.1175/JHM-D-17-0080.1
    Publisher: American Meteorological Society
    Abstract: AbstractDuring May and June 2014, NOAA X-Pol (NOXP), the National Severe Storms Laboratory?s dual-polarized X-band mobile radar, was deployed to the Pigeon River basin in the Great Smoky Mountains of North Carolina as part of the NASA Integrated Precipitation and Hydrology Experiment. Rain gauges and disdrometers were positioned within the basin to verify precipitation estimates from various radar and satellite precipitation algorithms. First, the performance of the Self-Consistent Optimal Parameterization?Microphysics Estimation (SCOP-ME) algorithm for NOXP was examined using ground instrumentation as validation and was found to perform similarly to or slightly outperform other precipitation algorithms over the course of the intensive observation period (IOP). Radar data were also used to examine ridge?valley differences in radar and microphysical parameters for a case of stratiform precipitation passing over the mountains. Inferred coalescence microphysical processes were found to dominate within the upslope region, while a combination of processes were present as the system propagated over the valley. This suggests that enhanced updrafts aided by orographic lift sustain convection over the upslope regions, leading to larger median drop diameters.
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      Evaluation of Operational and Experimental Precipitation Algorithms and Microphysical Insights during IPHEx

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    contributor authorErlingis, Jessica M.
    contributor authorGourley, Jonathan J.
    contributor authorKirstetter, Pierre-Emmanuel
    contributor authorAnagnostou, Emmanouil N.
    contributor authorKalogiros, John
    contributor authorAnagnostou, Marios N.
    contributor authorPetersen, Walt
    date accessioned2019-09-19T10:01:43Z
    date available2019-09-19T10:01:43Z
    date copyright11/7/2017 12:00:00 AM
    date issued2017
    identifier otherjhm-d-17-0080.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4260750
    description abstractAbstractDuring May and June 2014, NOAA X-Pol (NOXP), the National Severe Storms Laboratory?s dual-polarized X-band mobile radar, was deployed to the Pigeon River basin in the Great Smoky Mountains of North Carolina as part of the NASA Integrated Precipitation and Hydrology Experiment. Rain gauges and disdrometers were positioned within the basin to verify precipitation estimates from various radar and satellite precipitation algorithms. First, the performance of the Self-Consistent Optimal Parameterization?Microphysics Estimation (SCOP-ME) algorithm for NOXP was examined using ground instrumentation as validation and was found to perform similarly to or slightly outperform other precipitation algorithms over the course of the intensive observation period (IOP). Radar data were also used to examine ridge?valley differences in radar and microphysical parameters for a case of stratiform precipitation passing over the mountains. Inferred coalescence microphysical processes were found to dominate within the upslope region, while a combination of processes were present as the system propagated over the valley. This suggests that enhanced updrafts aided by orographic lift sustain convection over the upslope regions, leading to larger median drop diameters.
    publisherAmerican Meteorological Society
    titleEvaluation of Operational and Experimental Precipitation Algorithms and Microphysical Insights during IPHEx
    typeJournal Paper
    journal volume19
    journal issue1
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM-D-17-0080.1
    journal fristpage113
    journal lastpage125
    treeJournal of Hydrometeorology:;2017:;volume 019:;issue 001
    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