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Estimating rainfall and water balance over the Okavango River Basin for hydrological applications
Linköping University, The Tema Institute, Centre for Climate Science and Policy Research . Linköping University, The Tema Institute, Department of Water and Environmental Studies.
Department of Physics, Chemistry and Environmental Science University of Sussex.
Linköping University, The Tema Institute, Centre for Climate Science and Policy Research . Linköping University, The Tema Institute, Department of Water and Environmental Studies.
Department of Physics, Chemistry and Environmental Science University of Sussex.
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2006 (English)In: Journal of Hydrology, ISSN 0022-1694, E-ISSN 1879-2707, Vol. 331, no 1-2, 18-29 p.Article in journal (Refereed) Published
Abstract [en]

A historical database for use in rainfall-runoff modeling of the Okavango River Basin in Southwest Africa is presented. The work has relevance for similar data-sparse regions. The parameters of main concern are rainfall and catchment water balance, which are key variables for subsequent studies of the hydrological impacts of development and climate change. Rainfall estimates are based on a combination of in situ gauges and satellite sources. Rain gauge measurements are most extensive from 1955 to 1972, after which they are drastically reduced due to the Angolan civil war. The sensitivity of the rainfall fields to spatial interpolation techniques and the density of gauges were evaluated. Satellite based rainfall estimates for the basin are developed for the period from 1991 onwards, based on the Tropical Rainfall Measuring Mission (TRMM) and Special Sensor Microwave Imager (SSM/I) datasets. The consistency between the gauges and satellite estimates was considered. A methodology was developed to allow calibration of the rainfall-runoff hydrological model against rain gauge data from 1960 to 1972, with the prerequisite that the model should be driven by satellite derived rainfall products from 1990 onwards. With the rain gauge data, addition of a single rainfall station (Longa) in regions where stations earlier were lacking was more important than the chosen interpolation method. Comparison of satellite and gauge rainfall outside the basin indicated that the satellite overestimates rainfall by 20%. A non-linear correction was derived by fitting the rainfall frequency characteristics to those of the historical rainfall data. This satellite rainfall dataset was found satisfactory when using the Pitman rainfall-runoff model (Hughes, D., Andersson, L., Wilk, J., Savenije, H.H.G., this issue. Regional calibration of the Pitman model for the Okavango River. Journal of Hydrology). Intensive monitoring in the region is recommended to increase accuracy of the comprehensive satellite rainfall estimate calibration procedure. © 2006 Elsevier B.V. All rights reserved.

Place, publisher, year, edition, pages
2006. Vol. 331, no 1-2, 18-29 p.
Keyword [en]
rainfall estimates, satellite dta, raingauge, cokriging, river basin, Okavango
National Category
Social Sciences Interdisciplinary
Identifiers
URN: urn:nbn:se:liu:diva-36219DOI: 10.1016/j.jhydrol.2006.04.049Local ID: 30574OAI: oai:DiVA.org:liu-36219DiVA: diva2:257067
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2017-12-13

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Wilk, Julie

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