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    Evaluating TMPA Rainfall over the Sparsely Gauged East African Rift

    Source: Journal of Hydrometeorology:;2018:;volume 019:;issue 009::page 1507
    Author:
    Monsieurs, Elise
    ,
    Kirschbaum, Dalia Bach
    ,
    Tan, Jackson
    ,
    Maki Mateso, Jean-Claude
    ,
    Jacobs, Liesbet
    ,
    Plisnier, Pierre-Denis
    ,
    Thiery, Wim
    ,
    Umutoni, Augusta
    ,
    Musoni, Didace
    ,
    Bibentyo, Toussaint Mugaruka
    ,
    Ganza, Gloire Bamulezi
    ,
    Mawe, Guy Ilombe
    ,
    Bagalwa, Luc
    ,
    Kankurize, Clairia
    ,
    Michellier, Caroline
    ,
    Stanley, Thomas
    ,
    Kervyn, Francois
    ,
    Kervyn, Matthieu
    ,
    Demoulin, Alain
    ,
    Dewitte, Olivier
    DOI: 10.1175/JHM-D-18-0103.1
    Publisher: American Meteorological Society
    Abstract: AbstractAccurate precipitation data are fundamental for understanding and mitigating the disastrous effects of many natural hazards in mountainous areas. Floods and landslides, in particular, are potentially deadly events that can be mitigated with advanced warning, but accurate forecasts require timely estimation of precipitation, which is problematic in regions such as tropical Africa with limited gauge measurements. Satellite rainfall estimates (SREs) are of great value in such areas, but rigorous validation is required to identify the uncertainties linked to SREs for hazard applications. This paper presents results of an unprecedented record of gauge data in the western branch of the East African Rift, with temporal resolutions ranging from 30 min to 24 h and records from 1998 to 2018. These data were used to validate the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) research version and near-real-time products for 3-hourly, daily, and monthly rainfall accumulations, over multiple spatial scales. Results indicate that there are at least two factors that led to the underestimation of TMPA at the regional level: complex topography and high rainfall intensities. The TMPA near-real-time product shows overall stronger rainfall underestimations but lower absolute errors and a better performance at higher rainfall intensities compared to the research version. We found area-averaged TMPA rainfall estimates relatively more suitable in order to move toward regional hazard assessment, compared to data from scarcely distributed gauges with limited representativeness in the context of high rainfall variability.
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      Evaluating TMPA Rainfall over the Sparsely Gauged East African Rift

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    contributor authorMonsieurs, Elise
    contributor authorKirschbaum, Dalia Bach
    contributor authorTan, Jackson
    contributor authorMaki Mateso, Jean-Claude
    contributor authorJacobs, Liesbet
    contributor authorPlisnier, Pierre-Denis
    contributor authorThiery, Wim
    contributor authorUmutoni, Augusta
    contributor authorMusoni, Didace
    contributor authorBibentyo, Toussaint Mugaruka
    contributor authorGanza, Gloire Bamulezi
    contributor authorMawe, Guy Ilombe
    contributor authorBagalwa, Luc
    contributor authorKankurize, Clairia
    contributor authorMichellier, Caroline
    contributor authorStanley, Thomas
    contributor authorKervyn, Francois
    contributor authorKervyn, Matthieu
    contributor authorDemoulin, Alain
    contributor authorDewitte, Olivier
    date accessioned2019-09-19T10:02:12Z
    date available2019-09-19T10:02:12Z
    date copyright9/1/2018 12:00:00 AM
    date issued2018
    identifier otherjhm-d-18-0103.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4260834
    description abstractAbstractAccurate precipitation data are fundamental for understanding and mitigating the disastrous effects of many natural hazards in mountainous areas. Floods and landslides, in particular, are potentially deadly events that can be mitigated with advanced warning, but accurate forecasts require timely estimation of precipitation, which is problematic in regions such as tropical Africa with limited gauge measurements. Satellite rainfall estimates (SREs) are of great value in such areas, but rigorous validation is required to identify the uncertainties linked to SREs for hazard applications. This paper presents results of an unprecedented record of gauge data in the western branch of the East African Rift, with temporal resolutions ranging from 30 min to 24 h and records from 1998 to 2018. These data were used to validate the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) research version and near-real-time products for 3-hourly, daily, and monthly rainfall accumulations, over multiple spatial scales. Results indicate that there are at least two factors that led to the underestimation of TMPA at the regional level: complex topography and high rainfall intensities. The TMPA near-real-time product shows overall stronger rainfall underestimations but lower absolute errors and a better performance at higher rainfall intensities compared to the research version. We found area-averaged TMPA rainfall estimates relatively more suitable in order to move toward regional hazard assessment, compared to data from scarcely distributed gauges with limited representativeness in the context of high rainfall variability.
    publisherAmerican Meteorological Society
    titleEvaluating TMPA Rainfall over the Sparsely Gauged East African Rift
    typeJournal Paper
    journal volume19
    journal issue9
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM-D-18-0103.1
    journal fristpage1507
    journal lastpage1528
    treeJournal of Hydrometeorology:;2018:;volume 019:;issue 009
    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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