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    Near-Global Covariability of Hourly Precipitation in Space and Time

    Source: Journal of Hydrometeorology:;2018:;volume 019:;issue 004::page 695
    Author:
    Trenberth, Kevin E.
    ,
    Zhang, Yongxin
    DOI: 10.1175/JHM-D-17-0238.1
    Publisher: American Meteorological Society
    Abstract: AbstractA detailed analysis of hourly precipitation from 60°N to 60°S for the covariability is performed at 0.25° resolution using the new CMORPH dataset. For all points, correlations are computed with surrounding points both concurrently and for various leads and lags up to a day. Results are more coherent over the oceans than land; the contours of constant correlation tend to be elliptical, oriented northeast?southwest in the northern extratropics and southeast?northwest in the southern extratropics. An ellipse is fitted to the correlation pattern, and major and minor axis vectors and eccentricity are mapped. Based upon both the isotropic correlations and ellipse, points are allocated to one of 20 clusters, and 16 are documented. Over the main extratropical ocean storm tracks, correlations exceed 0.8 for points 50 km distant and fall to about 0.3 at about 5° radius. In the tropics values drop to 0.65 within 50 km and 0.2 at 5° radius. Over land, values are lower in summer and drop to 0.1 at 5° radius. Decorrelation e-folding distances range from less than 50 km over land to 200 km over extratropical ocean storm tracks. The movement of precipitation is compared with mean atmospheric winds. The lead?lag relationships indicate movement of systems but reveal the relatively short lifetimes of precipitation, of less than 12 h, even taking movement into account. The orientation of the ellipse reflects the structures of rain phenomena (fronts, etc.) rather than movement. These statistics demonstrate that daily averages fail to capture the essential character of precipitation.
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      Near-Global Covariability of Hourly Precipitation in Space and Time

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    contributor authorTrenberth, Kevin E.
    contributor authorZhang, Yongxin
    date accessioned2019-09-19T10:02:06Z
    date available2019-09-19T10:02:06Z
    date copyright4/1/2018 12:00:00 AM
    date issued2018
    identifier otherjhm-d-17-0238.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4260813
    description abstractAbstractA detailed analysis of hourly precipitation from 60°N to 60°S for the covariability is performed at 0.25° resolution using the new CMORPH dataset. For all points, correlations are computed with surrounding points both concurrently and for various leads and lags up to a day. Results are more coherent over the oceans than land; the contours of constant correlation tend to be elliptical, oriented northeast?southwest in the northern extratropics and southeast?northwest in the southern extratropics. An ellipse is fitted to the correlation pattern, and major and minor axis vectors and eccentricity are mapped. Based upon both the isotropic correlations and ellipse, points are allocated to one of 20 clusters, and 16 are documented. Over the main extratropical ocean storm tracks, correlations exceed 0.8 for points 50 km distant and fall to about 0.3 at about 5° radius. In the tropics values drop to 0.65 within 50 km and 0.2 at 5° radius. Over land, values are lower in summer and drop to 0.1 at 5° radius. Decorrelation e-folding distances range from less than 50 km over land to 200 km over extratropical ocean storm tracks. The movement of precipitation is compared with mean atmospheric winds. The lead?lag relationships indicate movement of systems but reveal the relatively short lifetimes of precipitation, of less than 12 h, even taking movement into account. The orientation of the ellipse reflects the structures of rain phenomena (fronts, etc.) rather than movement. These statistics demonstrate that daily averages fail to capture the essential character of precipitation.
    publisherAmerican Meteorological Society
    titleNear-Global Covariability of Hourly Precipitation in Space and Time
    typeJournal Paper
    journal volume19
    journal issue4
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM-D-17-0238.1
    journal fristpage695
    journal lastpage713
    treeJournal of Hydrometeorology:;2018:;volume 019:;issue 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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