Articles | Volume 23, issue 7
Hydrol. Earth Syst. Sci., 23, 2915–2938, 2019
Hydrol. Earth Syst. Sci., 23, 2915–2938, 2019

Research article 12 Jul 2019

Research article | 12 Jul 2019

Performance of bias-correction schemes for CMORPH rainfall estimates in the Zambezi River basin

Webster Gumindoga et al.

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Cited articles

Beilfuss, R.: A Risky Climate for Southern African Hydro: Assessing hydrological risks and consequences for Zambezi River Basin dams, 2012. 
Beilfuss, R., Dutton, P., and Moore, D.: Landcover and Landuse change in the Zambezi Delta, in: Zambezi Basin Wetlands Volume III Landuse Change and Human impacts, chap. 2, Biodiversity Foundation for Africa, Harare, 31–105, 2000. 
Beyer, M., Wallner, M., Bahlmann, L., Thiemig, V., Dietrich, J., and Billib, M.: Rainfall characteristics and their implications for rain-fed agriculture: a case study in the Upper Zambezi River Basin, Hydrolog. Sci. J., 61, 321–343,, 2014. 
Bhatti, H., Rientjes, T., Haile, A., Habib, E., and Verhoef, W.: Evaluation of Bias Correction Method for Satellite-Based Rainfall Data, Sensors, 16, 884,, 2016. 
Bitew, M. M. and Gebremichael, M.: Evaluation of satellite rainfall products through hydrologic simulation in a fully distributed hydrologic model, Water Resour. Res., 47, W06526,, 2011. 
Short summary
We evaluate the influence of elevation and distance from large-scale open water bodies on bias for CMORPH satellite rainfall in the Zambezi basin. Effects of distance > 10 km from water bodies are minimal, whereas the effects at shorter distances are indicated but are not conclusive for lack of rain gauges. Taylor diagrams show station elevation influencing CMORPH performance. The spatio-temporal and newly developed elevation zone bias schemes proved more effective in removing CMORPH bias.