• DocumentCode
    1249209
  • Title

    Hydrometeorological data extension for the Sudan-Sahel zone of West Africa using satellite remote sensing

  • Author

    Pietroniro, Alain ; Soulis, Eric D. ; Solomon, Shully I.

  • Author_Institution
    Dept. of Civil Eng., Waterloo Univ., Ont., Canada
  • Volume
    28
  • Issue
    5
  • fYear
    1990
  • fDate
    9/1/1990 12:00:00 AM
  • Firstpage
    955
  • Lastpage
    962
  • Abstract
    Conventional techniques for assessing and investigating water resources in the Sudan and Sahel zones of West Africa, which are subject to frequent and prolonged droughts, are often difficult to implement. Satellite remote sensing coupled with available ground truth data from a limited number of rain gauge locations provides an alternative means of hydrometric data extension within the zone. Monthly and seasonal rainfall estimates, based on a database derived from Meteosat infrared data, are determined. Rain gauge data are regressed on five-day maximum surface temperatures and cold cloud occurrences. A linear model is used for dry month estimates. Values of the coefficient of determination vary from 0.55 to 0.69 for the monthly model, and the value is 0.83 for the seasonal model
  • Keywords
    atmospheric techniques; atmospheric temperature; clouds; hydrological techniques; hydrology; meteorology; rain; remote sensing; water supply; -40 degC; 30 to 43 degC; AD 1986 05 to 10; Benin; Burkina Faso; Cameron; Chad; Earth surface temperature; Gambia; Ghana; Guinea; Ivory Coast; Liberia; Mali; Mauritania; Meteosat IR data; Meteosat infrared data; Niger; Nigeria; Senegal; Sierra Leone; Sudan-Sahel zone; Togo; West Africa; cloud top temperatures; cold cloud occurrences; droughts; dry month estimates; five-day maximum surface temperatures; ground truth data; hydrometeorological data extension; hydrometric data extension; linear model; monthly rainfall; rain gauge locations; satellite remote sensing; seasonal rainfall estimates; sub-Saharan Africa; upper troposphere clouds; Africa; Clouds; Convergence; Disaster management; Meteorology; Rain; Remote sensing; Satellites; Temperature; Water resources;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.58985
  • Filename
    58985