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    New Rainfall Datasets for the Congo Basin and Surrounding Regions

    Source: Journal of Hydrometeorology:;2018:;volume 019:;issue 008::page 1379
    Author:
    Nicholson, S. E.
    ,
    Klotter, D.
    ,
    Dezfuli, A. K.
    ,
    Zhou, L.
    DOI: 10.1175/JHM-D-18-0015.1
    Publisher: American Meteorological Society
    Abstract: AbstractThis paper describes three new rainfall datasets that have been developed for equatorial Africa. The development relies on acquisition of recent gauge data from the relevant countries and statistical methods to fill in gaps in coverage. Two of the three datasets are gridded with spatial resolutions of 2.5° and 5.0°, and the third is regionally aggregated and based purely on gauge data. The work is based on a total of 1826 gauge records in the analysis sector, of which only several hundred operate in recent years. The gridded datasets were produced and validated by using a period of dense coverage (1947?72) to ?calibrate? a spatial reconstruction method, which is then utilized to grid data for the remaining years. The period 1973?2010 served as a validation period. The validation was carried out by comparing the gridded values with values obtained by simple averaging of station data in grid boxes with an adequate number of stations. This exercise clearly showed that the statistical reconstruction approach based on principal components produced far superior results than those from the more commonly used kriging. The gridded datasets cover each month of the year, six seasons, and annual rainfall, and they commence in 1921 and extend through 2014. In contrast, the gauge-only regional dataset covers varied time periods, depending on the geographical region in question. Records for several regions cover nearly all of the twentieth century and most extend to 2014.
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      New Rainfall Datasets for the Congo Basin and Surrounding Regions

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    contributor authorNicholson, S. E.
    contributor authorKlotter, D.
    contributor authorDezfuli, A. K.
    contributor authorZhou, L.
    date accessioned2019-09-19T10:02:09Z
    date available2019-09-19T10:02:09Z
    date copyright7/13/2018 12:00:00 AM
    date issued2018
    identifier otherjhm-d-18-0015.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4260822
    description abstractAbstractThis paper describes three new rainfall datasets that have been developed for equatorial Africa. The development relies on acquisition of recent gauge data from the relevant countries and statistical methods to fill in gaps in coverage. Two of the three datasets are gridded with spatial resolutions of 2.5° and 5.0°, and the third is regionally aggregated and based purely on gauge data. The work is based on a total of 1826 gauge records in the analysis sector, of which only several hundred operate in recent years. The gridded datasets were produced and validated by using a period of dense coverage (1947?72) to ?calibrate? a spatial reconstruction method, which is then utilized to grid data for the remaining years. The period 1973?2010 served as a validation period. The validation was carried out by comparing the gridded values with values obtained by simple averaging of station data in grid boxes with an adequate number of stations. This exercise clearly showed that the statistical reconstruction approach based on principal components produced far superior results than those from the more commonly used kriging. The gridded datasets cover each month of the year, six seasons, and annual rainfall, and they commence in 1921 and extend through 2014. In contrast, the gauge-only regional dataset covers varied time periods, depending on the geographical region in question. Records for several regions cover nearly all of the twentieth century and most extend to 2014.
    publisherAmerican Meteorological Society
    titleNew Rainfall Datasets for the Congo Basin and Surrounding Regions
    typeJournal Paper
    journal volume19
    journal issue8
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM-D-18-0015.1
    journal fristpage1379
    journal lastpage1396
    treeJournal of Hydrometeorology:;2018:;volume 019:;issue 008
    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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