Next Article in Journal
Predictive Mapping of Dwarf Shrub Vegetation in an Arid High Mountain Ecosystem Using Remote Sensing and Random Forests
Next Article in Special Issue
Towards the Improvement of Blue Water Evapotranspiration Estimates by Combining Remote Sensing and Model Simulation
Previous Article in Journal
Quantification of Impact of Orbital Drift on Inter-Annual Trends in AVHRR NDVI Data
Previous Article in Special Issue
Evaporative Fraction as an Indicator of Moisture Condition and Water Stress Status in Semi-Arid Rangeland Ecosystems
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2014, 6(7), 6688-6708; doi:10.3390/rs6076688

Effect of Bias Correction of Satellite-Rainfall Estimates on Runoff Simulations at the Source of the Upper Blue Nile

1
Department of Civil Engineering, University of Louisiana at Lafayette, Lafayette, LA 70504, USA
2
International Water Management Institute, Nile Basin and East Africa Sub-Regional Office, P.O. Box 5689 Addis Ababa, Ethiopia
3
NOAA/NWS/OHD, Silver Spring, MD 20910, USA
4
Department of Water Resources, ITC, P.O. Box 6, 7500AA, Enschede, The Netherlands
Current Address: Department of Civil and Environmental Engineering, Utah State University, Logan, UT 84322, USA
*
Author to whom correspondence should be addressed.
Received: 28 March 2014 / Revised: 24 June 2014 / Accepted: 25 June 2014 / Published: 22 July 2014
(This article belongs to the Special Issue Earth Observation for Water Resource Management in Africa)
View Full-Text   |   Download PDF [621 KB, uploaded 22 July 2014]   |  

Abstract

Results of numerous evaluation studies indicated that satellite-rainfall products are contaminated with significant systematic and random errors. Therefore, such products may require refinement and correction before being used for hydrologic applications. In the present study, we explore a rainfall-runoff modeling application using the Climate Prediction Center-MORPHing (CMORPH) satellite rainfall product. The study area is the Gilgel Abbay catchment situated at the source basin of the Upper Blue Nile basin in Ethiopia, Eastern Africa. Rain gauge networks in such area are typically sparse. We examine different bias correction schemes applied locally to the CMORPH product. These schemes vary in the degree to which spatial and temporal variability in the CMORPH bias fields are accounted for. Three schemes are tested: space and time-invariant, time-variant and spatially invariant, and space and time variant. Bias-corrected CMORPH products were used to calibrate and drive the Hydrologiska Byråns Vattenbalansavdelning (HBV) rainfall-runoff model. Applying the space and time-fixed bias correction scheme resulted in slight improvement of the CMORPH-driven runoff simulations, but in some instances caused deterioration. Accounting for temporal variation in the bias reduced the rainfall bias by up to 50%. Additional improvements were observed when both the spatial and temporal variability in the bias was accounted for. The rainfall bias was found to have a pronounced effect on model calibration. The calibrated model parameters changed significantly when using rainfall input from gauges alone, uncorrected, and bias-corrected CMORPH estimates. Changes of up to 81% were obtained for model parameters controlling the stream flow volume. View Full-Text
Keywords: Center-MORPHing (CMORPH); Gilgel Abbay; satellite rainfall; bias correction; runoff modeling Center-MORPHing (CMORPH); Gilgel Abbay; satellite rainfall; bias correction; runoff modeling
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Habib, E.; Haile, A.T.; Sazib, N.; Zhang, Y.; Rientjes, T. Effect of Bias Correction of Satellite-Rainfall Estimates on Runoff Simulations at the Source of the Upper Blue Nile. Remote Sens. 2014, 6, 6688-6708.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top