TY - JOUR
T1 - Integrated simulation of snow and glacier melt in water and energy balance-based, distributed hydrological modeling framework at hunza river basin of Pakistan Karakoram region
AU - Shrestha, Maheswor
AU - Koike, Toshio
AU - Hirabayashi, Yukiko
AU - Xue, Yongkang
AU - Wang, Lei
AU - Rasul, Ghulam
AU - Ahmad, Bashir
N1 - Funding Information:
This study was supported by grants from the Ministry of Education, Culture, Sports, Science and Technology of Japan. The first author is supported by Water and Energy Commission Secretariat (WECS), Government of Nepal. Land cover data were downloaded from http://edc2.usgs.gov/glcc/glcc.php. SRTM digital elevation data were downloaded from http://srtm.csi.cgiar. org/. Glacier cover inventory data for Hunza basin were furnished by ICIMOD. Soil parameter data were from FAO. Surface meteorological data and river discharge data were provided by Water and Power Development Authority of Pakistan (WAPDA). GLDAS data products, MOD10A2 snow cover products, and MOD15A2 LAI and FPAR products were provided by the National Aeronautics and Space Administration (NASA) Earth Observing System Data and Information System (http://reverb.echo.nasa.gov). APHRODITE precipitation data sets were downloaded from http://www.chikyu. ac.jp/precip/. The authors are supported by the Data Integration and Analysis System for providing the data integration resources. The authors are highly indebted to anonymous reviewers whose comments and suggestions have significantly improved the quality of the manuscript.
Publisher Copyright:
© 2015. American Geophysical Union. All Rights Reserved.
PY - 2015
Y1 - 2015
N2 - Energy budget-based distributed modeling of snow and glacier melt runoff is essential in a hydrologic model to accurately describe hydrologic processes in cold regions and high-altitude catchments. We developed herein an integrated modeling system with an energy budget-based multilayer scheme for clean glaciers, a single-layer scheme for debris-covered glaciers, and multilayer scheme for seasonal snow over glacier, soil, and forest within a distributed biosphere hydrological modeling framework. Model capability is demonstrated for Hunza River Basin (13,733 km2) in the Karakoram region of Pakistan on a 500m grid for 3 hydrologic years (2002–2004). Discharge simulation results show good agreement with observations (Nash-Sutcliffe efficiency = 0.93). Flow composition analysis reveals that the runoff regime is strongly controlled by the snow and glacier melt runoff (50% snowmelt and 33% glacier melt). Pixel-by-pixel evaluation of the simulated spatial distribution of snow-covered area against Moderate Resolution Imaging Spectroradiometer-derived 8 day maximum snow cover extent data indicates that the areal extent of snow cover is reproduced well, with average accuracy 84% and average absolute bias 7%. The 3 year mean value of net mass balance (NMB) was estimated at +0.04myr-1. It is interesting that individual glaciers show similar characteristics of NMB over 3 years, suggesting that both topography and glacier hypsometry play key roles in glacier mass balance. This study provides a basis for potential application of such an integrated model to the entire Hindu-Kush-Karakoram-Himalaya region toward simulating snow and glacier hydrologic processes within a water and energy balance-based, distributed hydrological modeling framework.
AB - Energy budget-based distributed modeling of snow and glacier melt runoff is essential in a hydrologic model to accurately describe hydrologic processes in cold regions and high-altitude catchments. We developed herein an integrated modeling system with an energy budget-based multilayer scheme for clean glaciers, a single-layer scheme for debris-covered glaciers, and multilayer scheme for seasonal snow over glacier, soil, and forest within a distributed biosphere hydrological modeling framework. Model capability is demonstrated for Hunza River Basin (13,733 km2) in the Karakoram region of Pakistan on a 500m grid for 3 hydrologic years (2002–2004). Discharge simulation results show good agreement with observations (Nash-Sutcliffe efficiency = 0.93). Flow composition analysis reveals that the runoff regime is strongly controlled by the snow and glacier melt runoff (50% snowmelt and 33% glacier melt). Pixel-by-pixel evaluation of the simulated spatial distribution of snow-covered area against Moderate Resolution Imaging Spectroradiometer-derived 8 day maximum snow cover extent data indicates that the areal extent of snow cover is reproduced well, with average accuracy 84% and average absolute bias 7%. The 3 year mean value of net mass balance (NMB) was estimated at +0.04myr-1. It is interesting that individual glaciers show similar characteristics of NMB over 3 years, suggesting that both topography and glacier hypsometry play key roles in glacier mass balance. This study provides a basis for potential application of such an integrated model to the entire Hindu-Kush-Karakoram-Himalaya region toward simulating snow and glacier hydrologic processes within a water and energy balance-based, distributed hydrological modeling framework.
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U2 - 10.1002/2014JD022666
DO - 10.1002/2014JD022666
M3 - Article
AN - SCOPUS:84932167711
SN - 0148-0227
VL - 120
SP - 4889
EP - 4919
JO - Journal of Geophysical Research
JF - Journal of Geophysical Research
IS - 10
ER -