Consequences of the 2019 Greenland Ice Sheet Melt Episode on Albedo

In mid-June 2019, the Greenland ice sheet (GrIS) experienced an extreme early-season melt event. This, coupled with an earlier-than-average melt onset and low prior winter snowfall over western Greenland, led to a rapid decrease in surface albedo and greater solar energy absorption over the melt sea...

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Published in:Remote Sensing
Main Authors: Arthur Elmes, Charlotte Levy, Angela Erb, Dorothy K. Hall, Ted A. Scambos, Nicolo DiGirolamo, Crystal Schaaf
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2021
Subjects:
Online Access:https://doi.org/10.3390/rs13020227
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spelling ftmdpi:oai:mdpi.com:/2072-4292/13/2/227/ 2023-08-20T04:06:49+02:00 Consequences of the 2019 Greenland Ice Sheet Melt Episode on Albedo Arthur Elmes Charlotte Levy Angela Erb Dorothy K. Hall Ted A. Scambos Nicolo DiGirolamo Crystal Schaaf agris 2021-01-11 application/pdf https://doi.org/10.3390/rs13020227 EN eng Multidisciplinary Digital Publishing Institute Environmental Remote Sensing https://dx.doi.org/10.3390/rs13020227 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 13; Issue 2; Pages: 227 cryosphere Greenland ice sheet albedo radiative forcing Text 2021 ftmdpi https://doi.org/10.3390/rs13020227 2023-08-01T00:50:35Z In mid-June 2019, the Greenland ice sheet (GrIS) experienced an extreme early-season melt event. This, coupled with an earlier-than-average melt onset and low prior winter snowfall over western Greenland, led to a rapid decrease in surface albedo and greater solar energy absorption over the melt season. The 2019 melt season resulted in significantly more melt than other recent years, even compared to exceptional melt years previously identified in the moderate-resolution imaging spectroradiometer (MODIS) record. The increased solar radiation absorbance in 2019 warmed the surface and increased the rate of meltwater production. We use two decades of satellite-derived albedo from the MODIS MCD43 record to show a significant and extended decrease in albedo in Greenland during 2019. This decrease, early in the melt season and continuing during peak summer insolation, caused increased radiative forcing of the ice sheet of 2.33 Wm−2 for 2019. Radiative forcing is strongly influenced by the dramatic seasonal differences in surface albedo experienced by any location experiencing persistent and seasonal snow-cover. We also illustrate the utility of the newly developed Landsat-8 albedo product for better capturing the detailed spatial heterogeneity of the landscape, leading to a more refined representation of the surface energy budget. While the MCD43 data accurately capture the albedo for a given 500 m pixel, the higher spatial resolution 30 m Landsat-8 albedos more fully represent the detailed landscape variations. Text Greenland Ice Sheet MDPI Open Access Publishing Greenland Remote Sensing 13 2 227
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic cryosphere
Greenland ice sheet
albedo
radiative forcing
spellingShingle cryosphere
Greenland ice sheet
albedo
radiative forcing
Arthur Elmes
Charlotte Levy
Angela Erb
Dorothy K. Hall
Ted A. Scambos
Nicolo DiGirolamo
Crystal Schaaf
Consequences of the 2019 Greenland Ice Sheet Melt Episode on Albedo
topic_facet cryosphere
Greenland ice sheet
albedo
radiative forcing
description In mid-June 2019, the Greenland ice sheet (GrIS) experienced an extreme early-season melt event. This, coupled with an earlier-than-average melt onset and low prior winter snowfall over western Greenland, led to a rapid decrease in surface albedo and greater solar energy absorption over the melt season. The 2019 melt season resulted in significantly more melt than other recent years, even compared to exceptional melt years previously identified in the moderate-resolution imaging spectroradiometer (MODIS) record. The increased solar radiation absorbance in 2019 warmed the surface and increased the rate of meltwater production. We use two decades of satellite-derived albedo from the MODIS MCD43 record to show a significant and extended decrease in albedo in Greenland during 2019. This decrease, early in the melt season and continuing during peak summer insolation, caused increased radiative forcing of the ice sheet of 2.33 Wm−2 for 2019. Radiative forcing is strongly influenced by the dramatic seasonal differences in surface albedo experienced by any location experiencing persistent and seasonal snow-cover. We also illustrate the utility of the newly developed Landsat-8 albedo product for better capturing the detailed spatial heterogeneity of the landscape, leading to a more refined representation of the surface energy budget. While the MCD43 data accurately capture the albedo for a given 500 m pixel, the higher spatial resolution 30 m Landsat-8 albedos more fully represent the detailed landscape variations.
format Text
author Arthur Elmes
Charlotte Levy
Angela Erb
Dorothy K. Hall
Ted A. Scambos
Nicolo DiGirolamo
Crystal Schaaf
author_facet Arthur Elmes
Charlotte Levy
Angela Erb
Dorothy K. Hall
Ted A. Scambos
Nicolo DiGirolamo
Crystal Schaaf
author_sort Arthur Elmes
title Consequences of the 2019 Greenland Ice Sheet Melt Episode on Albedo
title_short Consequences of the 2019 Greenland Ice Sheet Melt Episode on Albedo
title_full Consequences of the 2019 Greenland Ice Sheet Melt Episode on Albedo
title_fullStr Consequences of the 2019 Greenland Ice Sheet Melt Episode on Albedo
title_full_unstemmed Consequences of the 2019 Greenland Ice Sheet Melt Episode on Albedo
title_sort consequences of the 2019 greenland ice sheet melt episode on albedo
publisher Multidisciplinary Digital Publishing Institute
publishDate 2021
url https://doi.org/10.3390/rs13020227
op_coverage agris
geographic Greenland
geographic_facet Greenland
genre Greenland
Ice Sheet
genre_facet Greenland
Ice Sheet
op_source Remote Sensing; Volume 13; Issue 2; Pages: 227
op_relation Environmental Remote Sensing
https://dx.doi.org/10.3390/rs13020227
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs13020227
container_title Remote Sensing
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