Abstract

Abstract. Current observational data on Hindu Kush Himalayas (HKH) glaciers are sparse, and characterizations of seasonal melt dynamics are limited. Time series synthetic aperture radar (SAR) imagery enables detection of reach-scale glacier melt characteristics across continents. We analyze C-band Sentinel-1 A/B SAR time series data, comprised of 32 741 Sentinel-1 A/B SAR images, and determine the duration of seasonal glacier melting for 105 432 mapped glaciers (83 102 km2 glacierized area, defined using optical observations) in the HKH across the calendar years 2017–2019. Melt onset and duration are recorded at 90 m spatial resolution and 12 d temporal repeat. All glacier areas within the HKH exhibit some degree of melt. Melt signals persist for over two-thirds of the year at elevations below 4000 m a.s.l. and for nearly half of the calendar year at elevations exceeding 7000 m a.s.l. Retrievals of seasonal melting span all elevation ranges of glacierized area in the HKH region, extending greater than 1 km above the maximum elevation of an interpolated 0 ∘C summer isotherm and at the top of Mount Everest, where in situ data and surface energy balance models indicate that the Khumbu Glacier is melting at surface air temperatures below −10 ∘C. Sentinel-1 melt retrievals reflect broad-scale trends in glacier mass balance across the region, where the duration of melt retrieved in the Karakoram is on average 16 d less than in the eastern Himalaya sub-region. Furthermore, percolation zones are apparent from meltwater retention indicated by delayed refreeze. Time series SAR datasets are suitable to support operational monitoring of glacier surface melt and the development and assessment of surface energy balance models of melt-driven ablation across the global cryosphere.

Highlights

  • Global warming driven by the anthropogenic release of geologic carbon is causing mass loss of alpine glaciers worldwide (Brangers et al, 2020; Zemp et al, 2006)

  • Synthetic aperture radar time series backscatter images and glacier extent maps derived from optical imagery have long been proposed to inform hydrologic and glaciologic research across the global cryosphere; a harmonized dataset of glacier surface melt does not exist

  • We quantify the magnitude of the seasonal melt signal by comparing mean summer and winter backscatter using a z-score metric and retrieve constraints on seasonal melt characteristics across all glaciated elevations of Hindu Kush Himalaya (HKH) at 90 m spatial and 12 d temporal resolution

Read more

Summary

Introduction

Global warming driven by the anthropogenic release of geologic carbon is causing mass loss of alpine glaciers worldwide (Brangers et al, 2020; Zemp et al, 2006). In contrast to large ice sheets near the poles, these relatively small alpine glaciers – perched at some of the highest elevations on Earth – are among the most sensitive indicators within the global cryosphere of changes in global climate (Anthwal et al, 2006). Outburst floods resulting from glacier mass loss have killed at least 6300 people in the Himalayas alone and have caused extensive damage to property and livelihoods.

Methods
Results
Conclusion
Full Text
Published version (Free)

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