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Recent Progress in Greenland Ice Sheet Modelling
Purpose of Review This paper reviews the recent literature on numerical modelling of the dynamics of the Greenland ice sheet with the goal of providing an overview of advancements and to highlight important directions of future research. In particular, the review is focused on large-scale modelling...
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| Published in: | Current climate change reports 2017-12, Vol.3 (4), p.291-302 |
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| cites | cdi_FETCH-LOGICAL-c503t-299666d54e9781463e88563cf6cf57cc7ca994521f46dbea32b7bc2377b4e9693 |
| container_end_page | 302 |
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| container_start_page | 291 |
| container_title | Current climate change reports |
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| creator | Goelzer, Heiko Robinson, Alexander Seroussi, Helene van de Wal, Roderik S.W. |
| description | Purpose of Review
This paper reviews the recent literature on numerical modelling of the dynamics of the Greenland ice sheet with the goal of providing an overview of advancements and to highlight important directions of future research. In particular, the review is focused on large-scale modelling of the ice sheet, including future projections, model parameterisations, paleo applications and coupling with models of other components of the Earth system.
Recent Findings
Data assimilation techniques have been used to improve the reliability of model simulations of the Greenland ice sheet dynamics, including more accurate initial states, more comprehensive use of remote sensing as well as paleo observations and inclusion of additional physical processes.
Summary
Modellers now leverage the increasing number of high-resolution satellite and air-borne data products to initialise ice sheet models for centennial time-scale simulations, needed for policy relevant sea-level projections. Modelling long-term past and future ice sheet evolution, which requires simplified but adequate representations of the interactions with the other components of the Earth system, has seen a steady improvement. Important developments are underway to include ice sheets in climate models that may lead to routine simulation of the fully coupled Greenland ice sheet–climate system in the coming years. |
| doi_str_mv | 10.1007/s40641-017-0073-y |
| format | article |
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This paper reviews the recent literature on numerical modelling of the dynamics of the Greenland ice sheet with the goal of providing an overview of advancements and to highlight important directions of future research. In particular, the review is focused on large-scale modelling of the ice sheet, including future projections, model parameterisations, paleo applications and coupling with models of other components of the Earth system.
Recent Findings
Data assimilation techniques have been used to improve the reliability of model simulations of the Greenland ice sheet dynamics, including more accurate initial states, more comprehensive use of remote sensing as well as paleo observations and inclusion of additional physical processes.
Summary
Modellers now leverage the increasing number of high-resolution satellite and air-borne data products to initialise ice sheet models for centennial time-scale simulations, needed for policy relevant sea-level projections. Modelling long-term past and future ice sheet evolution, which requires simplified but adequate representations of the interactions with the other components of the Earth system, has seen a steady improvement. Important developments are underway to include ice sheets in climate models that may lead to routine simulation of the fully coupled Greenland ice sheet–climate system in the coming years.</description><identifier>ISSN: 2198-6061</identifier><identifier>EISSN: 2198-6061</identifier><identifier>DOI: 10.1007/s40641-017-0073-y</identifier><identifier>PMID: 32010550</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Approximation ; Atmospheric Sciences ; Boundary conditions ; Climate ; Climate Change ; Climate Change Management and Policy ; Climate models ; Climate system ; Climatology ; Components ; Data assimilation ; Data collection ; Earth and Environmental Science ; Earth system science ; Environment ; Glaciation ; Glaciology and Climate Change (T Payne ; Glaciology and Climate Change (T Payne, Section Editor) ; Greenland ; Greenland ice sheet ; Ice ; Ice sheet dynamics ; Ice sheet models ; Ice sheets ; issues and policy ; Large-scale models ; Modelling ; Numerical models ; Oceanography ; Remote sensing ; Reviews ; Rheology ; satellites ; Scale models ; Sea level ; Section Editor ; Sheet modelling ; Simulation ; simulation models ; Thermodynamics ; Topical Collection on Glaciology and Climate Change</subject><ispartof>Current climate change reports, 2017-12, Vol.3 (4), p.291-302</ispartof><rights>The Author(s) 2017</rights><rights>The Author(s) 2017.</rights><rights>The Author(s) 2017. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c503t-299666d54e9781463e88563cf6cf57cc7ca994521f46dbea32b7bc2377b4e9693</citedby><cites>FETCH-LOGICAL-c503t-299666d54e9781463e88563cf6cf57cc7ca994521f46dbea32b7bc2377b4e9693</cites><orcidid>0000-0002-5878-9599</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,777,781,882,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32010550$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Goelzer, Heiko</creatorcontrib><creatorcontrib>Robinson, Alexander</creatorcontrib><creatorcontrib>Seroussi, Helene</creatorcontrib><creatorcontrib>van de Wal, Roderik S.W.</creatorcontrib><title>Recent Progress in Greenland Ice Sheet Modelling</title><title>Current climate change reports</title><addtitle>Curr Clim Change Rep</addtitle><addtitle>Curr Clim Change Rep</addtitle><description>Purpose of Review
This paper reviews the recent literature on numerical modelling of the dynamics of the Greenland ice sheet with the goal of providing an overview of advancements and to highlight important directions of future research. In particular, the review is focused on large-scale modelling of the ice sheet, including future projections, model parameterisations, paleo applications and coupling with models of other components of the Earth system.
Recent Findings
Data assimilation techniques have been used to improve the reliability of model simulations of the Greenland ice sheet dynamics, including more accurate initial states, more comprehensive use of remote sensing as well as paleo observations and inclusion of additional physical processes.
Summary
Modellers now leverage the increasing number of high-resolution satellite and air-borne data products to initialise ice sheet models for centennial time-scale simulations, needed for policy relevant sea-level projections. Modelling long-term past and future ice sheet evolution, which requires simplified but adequate representations of the interactions with the other components of the Earth system, has seen a steady improvement. Important developments are underway to include ice sheets in climate models that may lead to routine simulation of the fully coupled Greenland ice sheet–climate system in the coming years.</description><subject>Approximation</subject><subject>Atmospheric Sciences</subject><subject>Boundary conditions</subject><subject>Climate</subject><subject>Climate Change</subject><subject>Climate Change Management and Policy</subject><subject>Climate models</subject><subject>Climate system</subject><subject>Climatology</subject><subject>Components</subject><subject>Data assimilation</subject><subject>Data collection</subject><subject>Earth and Environmental Science</subject><subject>Earth system science</subject><subject>Environment</subject><subject>Glaciation</subject><subject>Glaciology and Climate Change (T Payne</subject><subject>Glaciology and Climate Change (T Payne, Section Editor)</subject><subject>Greenland</subject><subject>Greenland ice sheet</subject><subject>Ice</subject><subject>Ice sheet dynamics</subject><subject>Ice sheet models</subject><subject>Ice sheets</subject><subject>issues and policy</subject><subject>Large-scale models</subject><subject>Modelling</subject><subject>Numerical models</subject><subject>Oceanography</subject><subject>Remote sensing</subject><subject>Reviews</subject><subject>Rheology</subject><subject>satellites</subject><subject>Scale models</subject><subject>Sea level</subject><subject>Section Editor</subject><subject>Sheet modelling</subject><subject>Simulation</subject><subject>simulation models</subject><subject>Thermodynamics</subject><subject>Topical Collection on Glaciology and Climate Change</subject><issn>2198-6061</issn><issn>2198-6061</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1kUtLxDAUhYMoOuj8ADdScOOmepM0yWQjiOgoKIqPdWjT21rppGMyFebfm6E6PsBVEu53Tu7hELJP4ZgCqJOQgcxoClSl8cnT5QYZMaonqQRJN3_cd8g4hFcAoIIrrcQ22eEMKAgBIwIPaNEtknvf1R5DSBqXTD2ia3NXJtcWk8cXxEVy25XYto2r98hWlbcBx5_nLnm-vHg6v0pv7qbX52c3qRXAFynTWkpZigy1mtBMcpxMhOS2krYSylplc60zwWiVybLAnLNCFZZxpYookZrvktPBd94XMyxXS_q8NXPfzHK_NF3emN8T17yYuns3UgvNlYgGR58GvnvrMSzMrAk2hsgddn0wDKRiEjKaRfTwD_ra9d7FeIZpHs2Ach4pOlDWdyF4rNbLUDCrSsxQiYmVmFUlZhk1Bz9TrBVfBUSADUCII1ej__76f9cP8SeVJg</recordid><startdate>20171201</startdate><enddate>20171201</enddate><creator>Goelzer, Heiko</creator><creator>Robinson, Alexander</creator><creator>Seroussi, Helene</creator><creator>van de Wal, Roderik S.W.</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>H97</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>7S9</scope><scope>L.6</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-5878-9599</orcidid></search><sort><creationdate>20171201</creationdate><title>Recent Progress in Greenland Ice Sheet Modelling</title><author>Goelzer, Heiko ; Robinson, Alexander ; Seroussi, Helene ; van de Wal, Roderik S.W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c503t-299666d54e9781463e88563cf6cf57cc7ca994521f46dbea32b7bc2377b4e9693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Approximation</topic><topic>Atmospheric Sciences</topic><topic>Boundary conditions</topic><topic>Climate</topic><topic>Climate Change</topic><topic>Climate Change Management and Policy</topic><topic>Climate models</topic><topic>Climate system</topic><topic>Climatology</topic><topic>Components</topic><topic>Data assimilation</topic><topic>Data collection</topic><topic>Earth and Environmental Science</topic><topic>Earth system science</topic><topic>Environment</topic><topic>Glaciation</topic><topic>Glaciology and Climate Change (T Payne</topic><topic>Glaciology and Climate Change (T Payne, Section Editor)</topic><topic>Greenland</topic><topic>Greenland ice sheet</topic><topic>Ice</topic><topic>Ice sheet dynamics</topic><topic>Ice sheet models</topic><topic>Ice sheets</topic><topic>issues and policy</topic><topic>Large-scale models</topic><topic>Modelling</topic><topic>Numerical models</topic><topic>Oceanography</topic><topic>Remote sensing</topic><topic>Reviews</topic><topic>Rheology</topic><topic>satellites</topic><topic>Scale models</topic><topic>Sea level</topic><topic>Section Editor</topic><topic>Sheet modelling</topic><topic>Simulation</topic><topic>simulation models</topic><topic>Thermodynamics</topic><topic>Topical Collection on Glaciology and Climate Change</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Goelzer, Heiko</creatorcontrib><creatorcontrib>Robinson, Alexander</creatorcontrib><creatorcontrib>Seroussi, Helene</creatorcontrib><creatorcontrib>van de Wal, Roderik S.W.</creatorcontrib><collection>Springer Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Current climate change reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Goelzer, Heiko</au><au>Robinson, Alexander</au><au>Seroussi, Helene</au><au>van de Wal, Roderik S.W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Recent Progress in Greenland Ice Sheet Modelling</atitle><jtitle>Current climate change reports</jtitle><stitle>Curr Clim Change Rep</stitle><addtitle>Curr Clim Change Rep</addtitle><date>2017-12-01</date><risdate>2017</risdate><volume>3</volume><issue>4</issue><spage>291</spage><epage>302</epage><pages>291-302</pages><issn>2198-6061</issn><eissn>2198-6061</eissn><abstract>Purpose of Review
This paper reviews the recent literature on numerical modelling of the dynamics of the Greenland ice sheet with the goal of providing an overview of advancements and to highlight important directions of future research. In particular, the review is focused on large-scale modelling of the ice sheet, including future projections, model parameterisations, paleo applications and coupling with models of other components of the Earth system.
Recent Findings
Data assimilation techniques have been used to improve the reliability of model simulations of the Greenland ice sheet dynamics, including more accurate initial states, more comprehensive use of remote sensing as well as paleo observations and inclusion of additional physical processes.
Summary
Modellers now leverage the increasing number of high-resolution satellite and air-borne data products to initialise ice sheet models for centennial time-scale simulations, needed for policy relevant sea-level projections. Modelling long-term past and future ice sheet evolution, which requires simplified but adequate representations of the interactions with the other components of the Earth system, has seen a steady improvement. Important developments are underway to include ice sheets in climate models that may lead to routine simulation of the fully coupled Greenland ice sheet–climate system in the coming years.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>32010550</pmid><doi>10.1007/s40641-017-0073-y</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-5878-9599</orcidid><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 2198-6061 |
| ispartof | Current climate change reports, 2017-12, Vol.3 (4), p.291-302 |
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| language | eng |
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| subjects | Approximation Atmospheric Sciences Boundary conditions Climate Climate Change Climate Change Management and Policy Climate models Climate system Climatology Components Data assimilation Data collection Earth and Environmental Science Earth system science Environment Glaciation Glaciology and Climate Change (T Payne Glaciology and Climate Change (T Payne, Section Editor) Greenland Greenland ice sheet Ice Ice sheet dynamics Ice sheet models Ice sheets issues and policy Large-scale models Modelling Numerical models Oceanography Remote sensing Reviews Rheology satellites Scale models Sea level Section Editor Sheet modelling Simulation simulation models Thermodynamics Topical Collection on Glaciology and Climate Change |
| title | Recent Progress in Greenland Ice Sheet Modelling |
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