A benchmark dataset of in situ Antarctic surface melt rates and energy balance
Surface melt on the coastal Antarctic ice sheet (AIS) determines the viability of its ice shelves and the stability of the grounded ice sheet, but very few in situ melt rate estimates exist to date. Here we present a benchmark dataset of in situ surface melt rates and energy balance from nine sites...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2020-04-01
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| Series: | Journal of Glaciology |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S0022143020000064/type/journal_article |
| _version_ | 1811155800785158144 |
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| author | Constantijn L. Jakobs Carleen H. Reijmer C. J. P. Paul Smeets Luke D. Trusel Willem Jan van de Berg Michiel R. van den Broeke J. Melchior van Wessem |
| author_facet | Constantijn L. Jakobs Carleen H. Reijmer C. J. P. Paul Smeets Luke D. Trusel Willem Jan van de Berg Michiel R. van den Broeke J. Melchior van Wessem |
| author_sort | Constantijn L. Jakobs |
| collection | DOAJ |
| description | Surface melt on the coastal Antarctic ice sheet (AIS) determines the viability of its ice shelves and the stability of the grounded ice sheet, but very few in situ melt rate estimates exist to date. Here we present a benchmark dataset of in situ surface melt rates and energy balance from nine sites in the eastern Antarctic Peninsula (AP) and coastal Dronning Maud Land (DML), East Antarctica, seven of which are located on AIS ice shelves. Meteorological time series from eight automatic and one staffed weather station (Neumayer), ranging in length from 15 months to almost 24 years, serve as input for an energy-balance model to obtain consistent surface melt rates and energy-balance results. We find that surface melt rates exhibit large temporal, spatial and process variability. Intermittent summer melt in coastal DML is primarily driven by absorption of shortwave radiation, while non-summer melt events in the eastern AP occur during föhn events that force a large downward directed turbulent flux of sensible heat. We use the in situ surface melt rate dataset to evaluate melt rates from the regional atmospheric climate model RACMO2 and validate a melt product from the QuikSCAT satellite. |
| first_indexed | 2024-04-10T04:40:47Z |
| format | Article |
| id | doaj.art-7806942e444044d79030d174a9f6ce49 |
| institution | Directory Open Access Journal |
| issn | 0022-1430 1727-5652 |
| language | English |
| last_indexed | 2024-04-10T04:40:47Z |
| publishDate | 2020-04-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Journal of Glaciology |
| spelling | doaj.art-7806942e444044d79030d174a9f6ce492023-03-09T12:40:52ZengCambridge University PressJournal of Glaciology0022-14301727-56522020-04-016629130210.1017/jog.2020.6A benchmark dataset of in situ Antarctic surface melt rates and energy balanceConstantijn L. Jakobs0https://orcid.org/0000-0001-8707-2223Carleen H. Reijmer1C. J. P. Paul Smeets2Luke D. Trusel3https://orcid.org/0000-0002-7792-6173Willem Jan van de Berg4Michiel R. van den Broeke5https://orcid.org/0000-0003-4662-7565J. Melchior van Wessem6Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, The NetherlandsInstitute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, The NetherlandsInstitute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, The NetherlandsDepartment of Geography, Penn State University, University Park, PA, USAInstitute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, The NetherlandsInstitute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, The NetherlandsInstitute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, The NetherlandsSurface melt on the coastal Antarctic ice sheet (AIS) determines the viability of its ice shelves and the stability of the grounded ice sheet, but very few in situ melt rate estimates exist to date. Here we present a benchmark dataset of in situ surface melt rates and energy balance from nine sites in the eastern Antarctic Peninsula (AP) and coastal Dronning Maud Land (DML), East Antarctica, seven of which are located on AIS ice shelves. Meteorological time series from eight automatic and one staffed weather station (Neumayer), ranging in length from 15 months to almost 24 years, serve as input for an energy-balance model to obtain consistent surface melt rates and energy-balance results. We find that surface melt rates exhibit large temporal, spatial and process variability. Intermittent summer melt in coastal DML is primarily driven by absorption of shortwave radiation, while non-summer melt events in the eastern AP occur during föhn events that force a large downward directed turbulent flux of sensible heat. We use the in situ surface melt rate dataset to evaluate melt rates from the regional atmospheric climate model RACMO2 and validate a melt product from the QuikSCAT satellite.https://www.cambridge.org/core/product/identifier/S0022143020000064/type/journal_articleAntarctic glaciologyenergy balancemelt-surfaceice/atmosphere interactionssnow/ice surface processes |
| spellingShingle | Constantijn L. Jakobs Carleen H. Reijmer C. J. P. Paul Smeets Luke D. Trusel Willem Jan van de Berg Michiel R. van den Broeke J. Melchior van Wessem A benchmark dataset of in situ Antarctic surface melt rates and energy balance Journal of Glaciology Antarctic glaciology energy balance melt-surface ice/atmosphere interactions snow/ice surface processes |
| title | A benchmark dataset of in situ Antarctic surface melt rates and energy balance |
| title_full | A benchmark dataset of in situ Antarctic surface melt rates and energy balance |
| title_fullStr | A benchmark dataset of in situ Antarctic surface melt rates and energy balance |
| title_full_unstemmed | A benchmark dataset of in situ Antarctic surface melt rates and energy balance |
| title_short | A benchmark dataset of in situ Antarctic surface melt rates and energy balance |
| title_sort | benchmark dataset of in situ antarctic surface melt rates and energy balance |
| topic | Antarctic glaciology energy balance melt-surface ice/atmosphere interactions snow/ice surface processes |
| url | https://www.cambridge.org/core/product/identifier/S0022143020000064/type/journal_article |
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