Spatiotemporal evolution of melt ponds on Arctic sea ice
Melt ponds on sea ice play an important role in the Arctic climate system. Their presence alters the partitioning of solar radiation: decreasing reflection, increasing absorption and transmission to the ice and ocean, and enhancing melt. The spatiotemporal properties of melt ponds thus modify ice al...
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ftncar:oai:drupal-site.org:articles_25421 2024-04-14T08:00:25+00:00 Spatiotemporal evolution of melt ponds on Arctic sea ice Webster, Melinda A. (author) Holland, Marika (author) Wright, Nicholas C. (author) Hendricks, Stefan (author) Hutter, Nils (author) Itkin, Polona (author) Light, Bonnie (author) Linhardt, Felix (author) Perovich, Donald K. (author) Raphael, Ian A. (author) Smith, Madison M. (author) von Albedyll, Luisa (author) Zhang, Jinlun (author) 2022-05-11 https://doi.org/10.1525/elementa.2021.000072 en eng Elementa: Science of the Anthropocene--2325-1026 Master track of POLARSTERN cruise PS122/5 in 1 sec resolution (zipped, 34 MB)--10.1594/PANGAEA.926911 Magnaprobe snow and melt pond depth measurements from the 2019-2020 MOSAiC expedition--10.1594/PANGAEA.937781 Melt Pond Maps around the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Drifting Station derived from High Resolution Optical Imagery, 2020--10.18739/A2696ZZ9W Raw files for broadband and spectral albedo measurements of the sea ice surface during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign in the Central Arctic Ocean, April – September 2020--10.18739/A2ZG6G81T CESM2 Large Ensemble Community Project--10.26024/kgmp-c556 Gridded airborne laserscanner (ALS) elevation data (L4) for three flights during MOSAiC (prerelease)--10.5281/zenodo.5121824 ARM: AOS: aerosol-based meteorology data--10.5439/1025153 articles:25421 doi:10.1525/elementa.2021.000072 ark:/85065/d7wh2tqg Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. article Text 2022 ftncar https://doi.org/10.1525/elementa.2021.000072 2024-03-21T18:00:26Z Melt ponds on sea ice play an important role in the Arctic climate system. Their presence alters the partitioning of solar radiation: decreasing reflection, increasing absorption and transmission to the ice and ocean, and enhancing melt. The spatiotemporal properties of melt ponds thus modify ice albedo feedbacks and the mass balance of Arctic sea ice. The Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition presented a valuable opportunity to investigate the seasonal evolution of melt ponds through a rich array of atmosphere-ice-ocean measurements across spatial and temporal scales. In this study, we characterize the seasonal behavior and variability in the snow, surface scattering layer, and melt ponds from spring melt to autumn freeze-up using in situ surveys and auxiliary observations. We compare the results to satellite retrievals and output from two models: the Community Earth System Model (CESM2) and the Marginal Ice Zone Modeling and Assimilation System (MIZMAS). During the melt season, the maximum pond coverage and depth were 21% and 22 +/- 13 cm, respectively, with distribution and depth corresponding to surface roughness and ice thickness. Compared to observations, both models overestimate melt pond coverage in summer, with maximum values of approximately 41% (MIZMAS) and 51% (CESM2). This overestimation has important implications for accurately simulating albedo feedbacks. During the observed freeze-up, weather events, including rain on snow, caused high-frequency variability in snow depth, while pond coverage and depth remained relatively constant until continuous freezing ensued. Both models accurately simulate the abrupt cessation of melt ponds during freeze-up, but the dates of freeze-up differ. MIZMAS accurately simulates the observed date of freeze-up, while CESM2 simulates freeze-up oneto-two weeks earlier. This work demonstrates areas that warrant future observation-model synthesis for improving the representation of sea-ice processes and properties, ... Article in Journal/Newspaper albedo Arctic Arctic Sea ice OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) Arctic Elementa: Science of the Anthropocene 10 1 |
institution |
Open Polar |
collection |
OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) |
op_collection_id |
ftncar |
language |
English |
description |
Melt ponds on sea ice play an important role in the Arctic climate system. Their presence alters the partitioning of solar radiation: decreasing reflection, increasing absorption and transmission to the ice and ocean, and enhancing melt. The spatiotemporal properties of melt ponds thus modify ice albedo feedbacks and the mass balance of Arctic sea ice. The Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition presented a valuable opportunity to investigate the seasonal evolution of melt ponds through a rich array of atmosphere-ice-ocean measurements across spatial and temporal scales. In this study, we characterize the seasonal behavior and variability in the snow, surface scattering layer, and melt ponds from spring melt to autumn freeze-up using in situ surveys and auxiliary observations. We compare the results to satellite retrievals and output from two models: the Community Earth System Model (CESM2) and the Marginal Ice Zone Modeling and Assimilation System (MIZMAS). During the melt season, the maximum pond coverage and depth were 21% and 22 +/- 13 cm, respectively, with distribution and depth corresponding to surface roughness and ice thickness. Compared to observations, both models overestimate melt pond coverage in summer, with maximum values of approximately 41% (MIZMAS) and 51% (CESM2). This overestimation has important implications for accurately simulating albedo feedbacks. During the observed freeze-up, weather events, including rain on snow, caused high-frequency variability in snow depth, while pond coverage and depth remained relatively constant until continuous freezing ensued. Both models accurately simulate the abrupt cessation of melt ponds during freeze-up, but the dates of freeze-up differ. MIZMAS accurately simulates the observed date of freeze-up, while CESM2 simulates freeze-up oneto-two weeks earlier. This work demonstrates areas that warrant future observation-model synthesis for improving the representation of sea-ice processes and properties, ... |
author2 |
Webster, Melinda A. (author) Holland, Marika (author) Wright, Nicholas C. (author) Hendricks, Stefan (author) Hutter, Nils (author) Itkin, Polona (author) Light, Bonnie (author) Linhardt, Felix (author) Perovich, Donald K. (author) Raphael, Ian A. (author) Smith, Madison M. (author) von Albedyll, Luisa (author) Zhang, Jinlun (author) |
format |
Article in Journal/Newspaper |
title |
Spatiotemporal evolution of melt ponds on Arctic sea ice |
spellingShingle |
Spatiotemporal evolution of melt ponds on Arctic sea ice |
title_short |
Spatiotemporal evolution of melt ponds on Arctic sea ice |
title_full |
Spatiotemporal evolution of melt ponds on Arctic sea ice |
title_fullStr |
Spatiotemporal evolution of melt ponds on Arctic sea ice |
title_full_unstemmed |
Spatiotemporal evolution of melt ponds on Arctic sea ice |
title_sort |
spatiotemporal evolution of melt ponds on arctic sea ice |
publishDate |
2022 |
url |
https://doi.org/10.1525/elementa.2021.000072 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
albedo Arctic Arctic Sea ice |
genre_facet |
albedo Arctic Arctic Sea ice |
op_relation |
Elementa: Science of the Anthropocene--2325-1026 Master track of POLARSTERN cruise PS122/5 in 1 sec resolution (zipped, 34 MB)--10.1594/PANGAEA.926911 Magnaprobe snow and melt pond depth measurements from the 2019-2020 MOSAiC expedition--10.1594/PANGAEA.937781 Melt Pond Maps around the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Drifting Station derived from High Resolution Optical Imagery, 2020--10.18739/A2696ZZ9W Raw files for broadband and spectral albedo measurements of the sea ice surface during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign in the Central Arctic Ocean, April – September 2020--10.18739/A2ZG6G81T CESM2 Large Ensemble Community Project--10.26024/kgmp-c556 Gridded airborne laserscanner (ALS) elevation data (L4) for three flights during MOSAiC (prerelease)--10.5281/zenodo.5121824 ARM: AOS: aerosol-based meteorology data--10.5439/1025153 articles:25421 doi:10.1525/elementa.2021.000072 ark:/85065/d7wh2tqg |
op_rights |
Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
op_doi |
https://doi.org/10.1525/elementa.2021.000072 |
container_title |
Elementa: Science of the Anthropocene |
container_volume |
10 |
container_issue |
1 |
_version_ |
1796300522656890880 |