Abstract

Snowmelt in the mid-latitude European mountains is undergoing significant spatiotemporal changes. Regional snow line elevation (RSLE) is an appropriate indicator for assessing snow cover variations in mountain areas. To derive regional snow line dynamics during the ablation seasons 1984–2018, the present study unprecedentedly introduced a readily applicable framework. The framework constitutes four steps: atmospheric and topographic correction, snow classification, RSLE retrieval, and regional snow line retreat curve (RSLRC) derivation. The developed framework has been successfully applied to 8641 satellite images acquired by Landsat, ASTER, and Sentinel-2. The results of the intra-annual regional snow line variations show that: (1) regional snow lines in the Alpine catchments preserve the longest; (2) RSLEs are lower in the northern Pyrenees than in the southern part; (3) regional snow lines persist the shortest in the Carpathian catchments; and (4) during the end of the ablation season 2018, intermediate snowfall events in the catchments Adda, Tagliamento, and Uzh are observed. In terms of the long-term inter-annual variations, significantly accelerating snow line recession is detected in the northern Pyrenean catchment Ariege. In the Alpine catchment Alpenrhein and Drac, RSLRCs are shifting towards lower accumulated air-temperature (AT) significantly, with the magnitude of −3.77 °C·a−1 (Alpenrhein) and −3.99 °C·a−1 (Drac).

Highlights

  • Snowmelt during ablation seasons is essential with regards to runoff generation, winter sports/tourism, biodiversity, and natural disasters

  • The regional snow line elevation (RSLE) are derived from the Landsat OLI/TIRS and ETM+ observations, representing the general situation when dual Landsat/ASTER sensors are in orbit

  • This paper presents a readily applicable framework for retrieving regional snow line elevations (RSLEs) and their dynamics based on free-of-charge optical remote sensing and climate reanalysis datasets

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Summary

Introduction

Snowmelt during ablation seasons is essential with regards to runoff generation, winter sports/tourism, biodiversity, and natural disasters. In Europe, mountain areas are one of the most climate-sensitive and vulnerable regions [7] They are critical habitats and natural water reservoirs and provide various ecosystem services and economic well-being. It is challenging to predict snow cover changes in mountain areas at a regional scale, given their different responses to climate change in temperature and precipitation [5,9]. In these regards, in order to better understand regional responses and support adaptation strategies in the context of climate change, reliable information based on long-term time-series analysis of snowmelt processes during the ablation seasons is important for researchers, decision-makers, and stakeholders

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