Abstract

This study performs a comparison of two model calibration/validation approaches and their influence on future hydrological projections under climate change by employing two climate scenarios (RCP2.6 and 8.5) projected by four global climate models. Two hydrological models (HMs), snowmelt runoff model + glaciers and variable infiltration capacity model coupled with a glacier model, were used to simulate streamflow in the highly snow and glacier melt–driven Upper Indus Basin. In the first (conventional) calibration approach, the models were calibrated only at the basin outlet, while in the second (enhanced) approach intermediate gauges, different climate conditions and glacier mass balance were considered. Using the conventional and enhanced calibration approaches, the monthly Nash-Sutcliffe Efficiency (NSE) for both HMs ranged from 0.71 to 0.93 and 0.79 to 0.90 in the calibration, while 0.57–0.92 and 0.54–0.83 in the validation periods, respectively. For the future impact assessment, comparison of differences based on the two calibration/validation methods at the annual scale (i.e. 2011–2099) shows small to moderate differences of up to 10%, whereas differences at the monthly scale reached up to 19% in the cold months (i.e. October–March) for the far future period. Comparison of sources of uncertainty using analysis of variance showed that the contribution of HM parameter uncertainty to the overall uncertainty is becoming very small by the end of the century using the enhanced approach. This indicates that enhanced approach could potentially help to reduce uncertainties in the hydrological projections when compared to the conventional calibration approach.

Highlights

  • River basins in high Asia with mountainous headwaters having seasonal storage in the form of snow and ice are vital because they contribute substantially to the water supply in the densely populated lowlands by forming a natural buffer against drought (Pritchard 2019; Vanham et al 2008)

  • The assumption that the glacier area will be reduced to 25% at the end of the century is within the range of the results presented in Lutz et al (2016), where the simulated mean remaining glacier area under two representative concentration pathways (RCPs) (i.e. 4.5 and 8.5) using 4 global climate models (GCMs) for the Hindukush-Himalayan-Karakoram (HKH) region by 2100 was 32% and 15%, respectively

  • Snowmelt Runoff Model (SRM) + G underestimates discharge in the first half of the year when snowmelt is dominating while it overestimates discharge in July–September when the glacier melt comes into effect

Read more

Summary

Introduction

River basins in high Asia with mountainous headwaters having seasonal storage in the form of snow and ice are vital because they contribute substantially to the water supply in the densely populated lowlands by forming a natural buffer against drought (Pritchard 2019; Vanham et al 2008). The Upper Indus Basin (UIB) is one such example that supplies water to the vast Indus plain, often termed the bread basket of Pakistan (Clarke 2015). It plays an important role in feeding the population of 197 million of Pakistan. This South Asian region is a hotspot of climate change which will affect the future water availability (De Souza et al 2015). Most of these studies suggested that the reduced water availability in the future will be intensified during the spring and summer months, while snowmelt will occur earlier than the main monsoon flows

Objectives
Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.