Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Preprints
Preprints
https://doi.org/10.5194/nhess-2016-339
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-2016-339
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Preprints
11 Nov 2016
 | 11 Nov 2016
Status: this preprint was under review for the journal NHESS but the revision was not accepted.

Bias Correction of Satellite-Based Rainfall Estimates for Modeling Flash Floods in Semi-Arid regions: Application to Karpuz River, Turkey

Mohamed Saber and Koray Yilmaz

Abstract. This study investigates the utility of gauge-corrected satellite-based rainfall estimates in simulating flash floods at Karpuz River - a semi-arid basin in Turkey. Global Satellite Mapping of Precipitation (GSMaP) product was evaluated with the rain gauge network at monthly and daily time-scales considering various time periods and rainfall rate thresholds. Statistical analysis indicated that GSMaP shows acceptable linear correlation coefficient with rain gauges however suffers from significant underestimation bias. A rainfall rate threshold of 1 mm/month was the best choice to improve the match between GSMaP and rain gauges implying that appropriate threshold selection is critically important for the bias correction. Multiplicative bias correction was applied to GSMaP data using the bias factors calculated between GSMaP and observed rainfall. Hydrological River Basin Environmental Assessment Model (Hydro-BEAM) was used to simulate flash floods at the hourly time scale driven by the corrected GSMaP rainfall data. The model parameters were calibrated for flash flood events during October-December 2007 and then validated for flash flood events during October-December 2009. The results show that the simulated surface runoff hydrographs reasonably coincide with the observed hydrographs.

How to cite. Saber, M. and Yilmaz, K.: Bias Correction of Satellite-Based Rainfall Estimates for Modeling Flash Floods in Semi-Arid regions: Application to Karpuz River, Turkey, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2016-339, 2016.
Received: 22 Oct 2016 – Discussion started: 11 Nov 2016
Mohamed Saber and Koray Yilmaz
 
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
Mohamed Saber and Koray Yilmaz
Mohamed Saber and Koray Yilmaz

Viewed

Total article views: 2,058 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,224 773 61 2,058 61 69
  • HTML: 1,224
  • PDF: 773
  • XML: 61
  • Total: 2,058
  • BibTeX: 61
  • EndNote: 69
Views and downloads (calculated since 11 Nov 2016)
Cumulative views and downloads (calculated since 11 Nov 2016)

Viewed (geographical distribution)

Total article views: 1,934 (including HTML, PDF, and XML) Thereof 1,932 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Apr 2024
Download
Short summary
We attempted to investigate the utility of gauge-corrected satellite-based rainfall estimates to improve flash floods simulation at semi-arid basin. Different scenarios were conducted to estimate the bias factors to correct GSMaP data. We found underestimated bias and good linear correlation. Also, an appropriate threshold selection is critically important for correction. Then, the HydroBEAM model was calibrated and validated showing a reasonable performance based on the statistical analysis.
Read more
Altmetrics