Preprints
https://doi.org/10.5194/hess-2016-33
https://doi.org/10.5194/hess-2016-33
 
15 Feb 2016
15 Feb 2016
Status: this discussion paper is a preprint. It has been under review for the journal Hydrology and Earth System Sciences (HESS). The manuscript was not accepted for further review after discussion.

Bias correction schemes for CMORPH satellite rainfall estimates in the Zambezi River Basin

W. Gumindogaa,b, T. H. M. Rientjesa, A. T. Hailec, H. Makurirab, and P. Reggianid W. Gumindoga et al.
  • aFaculty ITC, University of Twente, The Netherlands
  • bUniversity of Zimbabwe, Civil Eng. Department Box MP 167 Mt Pleasant, Harare, Zimbabwe
  • cInternational Water Management Institute (IWMI), Ethiopia
  • dUniversity of Siegen, Germany

Abstract. Obtaining reliable records of rainfall from satellite rainfall estimates (SREs) is a challenge as SREs are an indirect rainfall estimate from visible, infrared (IR), and/or microwave (MW) based information of cloud properties. SREs also contain inherent biases which exaggerate or underestimate actual rainfall values hence the need to apply bias correction methods to improve accuracies. We evaluate the performance of five bias correction schemes for CMORPH satellite-based rainfall estimates. We use 54 raingauge stations in the Zambezi Basin for the period 1998–2013 for comparison and correction. Analysis shows that SREs better match to gauged estimates in the Upper Zambezi Basin than the Lower and Middle Zambezi basins but performance is not clearly related to elevation. Findings indicate that rainfall in the Upper Zambezi Basin is best estimated by an additive bias correction scheme (Distribution transformation). The linear based (Spatio-temporal) bias correction scheme successfully corrected the daily mean of CMORPH estimates for 70 % of the stations and also was most effective in reducing the rainfall bias. The nonlinear bias correction schemes (Power transform and the Quantile based empirical-statistical error correction method) proved most effective in reproducing the rainfall totals. Analyses through bias correction indicate that bias of CMORPH estimates has elevation and seasonality tendencies across the Zambezi river basin area of large scale.

W. Gumindoga et al.

 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

W. Gumindoga et al.

W. Gumindoga et al.

Viewed

Total article views: 1,337 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
736 552 49 1,337 76 88
  • HTML: 736
  • PDF: 552
  • XML: 49
  • Total: 1,337
  • BibTeX: 76
  • EndNote: 88
Views and downloads (calculated since 15 Feb 2016)
Cumulative views and downloads (calculated since 15 Feb 2016)

Cited

Latest update: 28 Sep 2022