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    GSDR: A Global Sub-Daily Rainfall Dataset

    Source: Journal of Climate:;2019:;volume 032:;issue 015::page 4715
    Author:
    Lewis, Elizabeth
    ,
    Fowler, Hayley
    ,
    Alexander, Lisa
    ,
    Dunn, Robert
    ,
    McClean, Fergus
    ,
    Barbero, Renaud
    ,
    Guerreiro, Selma
    ,
    Li, Xiao-Feng
    ,
    Blenkinsop, Stephen
    DOI: 10.1175/JCLI-D-18-0143.1
    Publisher: American Meteorological Society
    Abstract: AbstractExtreme short-duration rainfall can cause devastating flooding that puts lives, infrastructure, and natural ecosystems at risk. It is therefore essential to understand how this type of extreme rainfall will change in a warmer world. A significant barrier to answering this question is the lack of sub-daily rainfall data available at the global scale. To this end, a global sub-daily rainfall dataset based on gauged observations has been collated. The dataset is highly variable in its spatial coverage, record length, completeness and, in its raw form, quality. This presents significant difficulties for many types of analyses. The dataset currently comprises 23 687 gauges with an average record length of 13 years. Apart from a few exceptions, the earliest records begin in the 1950s. The Global Sub-Daily Rainfall Dataset (GSDR) has wide applications, including improving our understanding of the nature and drivers of sub-daily rainfall extremes, improving and validating of high-resolution climate models, and developing a high-resolution gridded sub-daily rainfall dataset of indices.
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      GSDR: A Global Sub-Daily Rainfall Dataset

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4263040
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    contributor authorLewis, Elizabeth
    contributor authorFowler, Hayley
    contributor authorAlexander, Lisa
    contributor authorDunn, Robert
    contributor authorMcClean, Fergus
    contributor authorBarbero, Renaud
    contributor authorGuerreiro, Selma
    contributor authorLi, Xiao-Feng
    contributor authorBlenkinsop, Stephen
    date accessioned2019-10-05T06:40:05Z
    date available2019-10-05T06:40:05Z
    date copyright4/17/2019 12:00:00 AM
    date issued2019
    identifier otherJCLI-D-18-0143.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4263040
    description abstractAbstractExtreme short-duration rainfall can cause devastating flooding that puts lives, infrastructure, and natural ecosystems at risk. It is therefore essential to understand how this type of extreme rainfall will change in a warmer world. A significant barrier to answering this question is the lack of sub-daily rainfall data available at the global scale. To this end, a global sub-daily rainfall dataset based on gauged observations has been collated. The dataset is highly variable in its spatial coverage, record length, completeness and, in its raw form, quality. This presents significant difficulties for many types of analyses. The dataset currently comprises 23 687 gauges with an average record length of 13 years. Apart from a few exceptions, the earliest records begin in the 1950s. The Global Sub-Daily Rainfall Dataset (GSDR) has wide applications, including improving our understanding of the nature and drivers of sub-daily rainfall extremes, improving and validating of high-resolution climate models, and developing a high-resolution gridded sub-daily rainfall dataset of indices.
    publisherAmerican Meteorological Society
    titleGSDR: A Global Sub-Daily Rainfall Dataset
    typeJournal Paper
    journal volume32
    journal issue15
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-18-0143.1
    journal fristpage4715
    journal lastpage4729
    treeJournal of Climate:;2019:;volume 032:;issue 015
    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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