Preprints
https://doi.org/10.5194/tc-2021-139
https://doi.org/10.5194/tc-2021-139

  17 May 2021

17 May 2021

Review status: this preprint is currently under review for the journal TC.

Spatiotemporal distribution of seasonal snow water equivalent in High-Mountain Asia from an 18-year Landsat-MODIS era snow reanalysis dataset

Yufei Liu, Yiwen Fang, and Steven A. Margulis Yufei Liu et al.
  • Department of Civil and Environmental Engineering, University of California, Los Angeles, CA, USA

Abstract. Seasonal snowpack is a key water resource and plays an important role in regional climate. However, how seasonal snow mass is distributed over space and time is not fully understood. This is due to the difficulties in estimation from remote sensing or ground measurements, especially over mountainous areas, such as High-Mountain Asia (HMA). In this paper we examined the spatiotemporal distribution of seasonal snow water equivalent (SWE) over HMA using a newly developed snow reanalysis dataset. The dataset was derived using a data assimilation method constrained by satellite observed snow data, spanning across 18 water years (2000–2017), at a high spatial (~500 m) and temporal (daily) resolution. Based on the results, the climatology of seasonal SWE volume is quantified as ~163 km3 over the entire HMA region, with 66 % of that in the northwestern watersheds (e.g. Indus, Amu Darya and Syr Darya). An elevational analysis shows that seasonal SWE volume peaks at mid-elevations (~3500 m). This work should help better understanding the snowpack climatology and variability over HMA, providing insights for future studies in assessing seasonal snow and its contribution to the regional water cycle and climate.

Yufei Liu et al.

Status: open (until 12 Jul 2021)

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  • RC1: 'Comment on tc-2021-139', Anonymous Referee #1, 15 Jun 2021 reply

Yufei Liu et al.

Data sets

High Mountain Asia UCLA Daily Snow Reanalysis, Version 1 Yufei Liu, Yiwen Fang and Steven A. Margulis https://doi.org/10.5067/HNAUGJQXSCVU

Yufei Liu et al.

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Short summary
We examined the spatiotemporal distribution of stored water in the seasonal snowpack over High-Mountain Asia, based on a new snow reanalysis dataset. The dataset was derived utilizing satellite observed snow information, which spans across 18 water years, at a high spatial (~500 m) and temporal (daily) resolution. Snow mass and snow storage distribution over space and time are analyzed in this paper, which brings new insight into understanding the snowpack variability over this region.