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Seasonal evolution of supraglacial lakes on Baltoro Glacier from 2016 to 2020

Wendleder, Anna and Schmitt, Andreas and Erbertseder, Thilo and d'Angelo, Pablo and Mayer, Christoph and Braun, Matthias (2021) Seasonal evolution of supraglacial lakes on Baltoro Glacier from 2016 to 2020. Frontiers in Earth Science, 9, pp. 1-16. Frontiers Media S.A.. doi: 10.3389/feart.2021.725394. ISSN 2296-6463.

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Official URL: https://www.frontiersin.org/articles/10.3389/feart.2021.725394/full

Abstract

The existence of supraglacial lakes influences debris-covered glaciers in two ways. The absorption of solar radiation in the water leads to a higher ice ablation, and water draining through the glacier to its bed leads to a higher velocity. Rising air temperatures and changes in precipitation patterns provoke an increase in the supraglacial lakes in number and total area. However, the seasonal evolution of supraglacial lakes and thus their potential for influencing mass balance and ice dynamics has not yet been sufficiently analyzed. We present a summer time series of supraglacial lake evolution on Baltoro Glacier in the Karakoram from 2016 to 2020. The dense time series is enabled by a multi-sensor and multi-temporal approach based on optical (Sentinel-2 and PlanetScope) and Synthetic Aperture Radar (SAR; Sentinel-1 and TerraSAR-X) remote sensing data. The mapping of the seasonal lake evolution uses a semi-automatic approach, which includes a random forest classifier applied separately to each sensor. A combination of linear regression and the Hausdorff distance are used to harmonize between SAR- and optical-derived lake areas, producing a consistent and internally robust time series dynamics. Seasonal variations in lake area are linked with the Standardized Precipitation Index (SPI) and Standardized Temperature Index (STI) based on air temperature and precipitation data derived from the climate reanalysis data set ERA5-Land. The largest aggregated lake area was found in 2018 with 5.783 km2, followed by 2019 with 4.703 km2, and 2020 with 4.606 km2. 2016 and 2017 showed the smallest areas with 3.606 km2 and 3.653 km2, respectively. Our data suggest it is a warmer spring seasons (April-May) with higher precipitation rates that lead to increased formation of supraglacial lakes. The time series decomposition shows a linear increase in lake area of 11.12 ± 9.57 % per year. Although the five-year observation period is too short to derive a significant trend, the tendency for a possible increase in supraglacial lake area is in line with the pronounced positive anomalies of the SPI and STI during the observation period.

Item URL in elib:https://elib.dlr.de/145929/
Document Type:Article
Title:Seasonal evolution of supraglacial lakes on Baltoro Glacier from 2016 to 2020
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Wendleder, AnnaUNSPECIFIEDhttps://orcid.org/0009-0005-1534-4732UNSPECIFIED
Schmitt, AndreasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Erbertseder, ThiloUNSPECIFIEDhttps://orcid.org/0000-0003-4888-1065UNSPECIFIED
d'Angelo, PabloUNSPECIFIEDhttps://orcid.org/0000-0001-8541-3856UNSPECIFIED
Mayer, ChristophUNSPECIFIEDhttps://orcid.org/0000-0002-4226-4608UNSPECIFIED
Braun, MatthiasFriedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, GermanyUNSPECIFIEDUNSPECIFIED
Date:24 December 2021
Journal or Publication Title:Frontiers in Earth Science
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:9
DOI:10.3389/feart.2021.725394
Page Range:pp. 1-16
Publisher:Frontiers Media S.A.
ISSN:2296-6463
Status:Published
Keywords:supraglacial lake, ice-dammed lake, Baltoro Glacier, remote sensing, summer time series, multi-sensor, multi-temporal
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Wendleder, Anna
Deposited On:24 Nov 2021 10:32
Last Modified:29 Mar 2023 00:00

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