Improvements in sub-catchment fractional snowpack and snowmelt parameterizations and hydrologic modeling for climate change assessments in the western Himalayas

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The present work proposes to improve estimates of snowpack and snowmelt and their assessment in the steep Himalayan ranges at the sub-catchment scale. Temporal variability of stream-flow and the associated distribution of accumulated snow in catchments with glacier presence in the Himalayas illustrates how changes in snowpack and snowmelt can affect the water supply for local water management. The primary objective of this study is to assess the role of elevation, temperature lapse rate (TLR), and precipitation lapse rate (PLR) in the computation of snowpack (or snowfall) and snowmelt in sub-catchments of the Satluj River basin. Modeling of snowpack and snowmelt was constructed using the Soil Water Assessment Tool (SWAT) in both historical (1991–2008) and near-time scenarios (2011–2030) by implementing real-time hydrometeorological, snow-hydrological parameters, and Global Circulation Model (GCM) datasets. The modeled snowmelt-induced stream-flow showed a good agreement with the observed streamflow (~60%), calibrated and validated at three gauges. A Sequential Uncertainty Parameter Fitting (SUFI2) method (SUFI2) resulted that the curve number (CN2) was found to be significantly sensitive during calibration. The snowmelt hydrological parameters such as snowmelt factor maximum (SMFMX) and snow coverage (SNO50COV) significantly affected objective functions, such as R2 and NSE, during the model optimization. For the validation of snowpack and snowmelt, the results have been contrasted with previous studies and found comparable. The computed snowpack and snowmelt were found highly variable over the Himalayan sub-catchments, as also reported by previous researchers. The magnitude of snowpack change consistently decreases across all the sub-catchments of the Satluj river catchment (varying between 4% and 42%). The highest percentage of changes in the snowpack was observed over high-elevation sub-catchments.

Original languageEnglish (US)
Article number179
JournalHydrology
Volume8
Issue number4
DOIs
StatePublished - Dec 2021

Keywords

  • Elevation bands
  • Himalayas
  • Hydrological modeling
  • SWAT and SWATCUP
  • Snowpack and snowmelt

ASJC Scopus subject areas

  • Oceanography
  • Water Science and Technology
  • Waste Management and Disposal
  • Earth-Surface Processes

Fingerprint

Dive into the research topics of 'Improvements in sub-catchment fractional snowpack and snowmelt parameterizations and hydrologic modeling for climate change assessments in the western Himalayas'. Together they form a unique fingerprint.

Cite this