A model study of factors influencing projected changes in regional sea level over the twenty-first century View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-01-30

AUTHORS

Anne K. Pardaens, J. M. Gregory, J. A. Lowe

ABSTRACT

In addition to projected increases in global mean sea level over the 21st century, model simulations suggest there will also be changes in the regional distribution of sea level relative to the global mean. There is a considerable spread in the projected patterns of these changes by current models, as shown by the recent Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment (AR4). This spread has not reduced from that given by the Third Assessment models. Comparison with projections by ensembles of models based on a single structure supports an earlier suggestion that models of similar formulation give more similar patterns of sea level change. Analysing an AR4 ensemble of model projections under a business-as-usual scenario shows that steric changes (associated with subsurface ocean density changes) largely dominate the sea level pattern changes. The relative importance of subsurface temperature or salinity changes in contributing to this differs from region to region and, to an extent, from model-to-model. In general, thermosteric changes give the spatial variations in the Southern Ocean, halosteric changes dominate in the Arctic and strong compensation between thermosteric and halosteric changes characterises the Atlantic. The magnitude of sea level and component changes in the Atlantic appear to be linked to the amount of Atlantic meridional overturning circulation (MOC) weakening. When the MOC weakening is substantial, the Atlantic thermosteric patterns of change arise from a dominant role of ocean advective heat flux changes. More... »

PAGES

2015-2033

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00382-009-0738-x

DOI

http://dx.doi.org/10.1007/s00382-009-0738-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1050581958


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/04", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Earth Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0405", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oceanography", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Met Office, Hadley Centre, FitzRoy Road, EX1 3PB, Exeter, Devon, UK", 
          "id": "http://www.grid.ac/institutes/grid.17100.37", 
          "name": [
            "Met Office, Hadley Centre, FitzRoy Road, EX1 3PB, Exeter, Devon, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pardaens", 
        "givenName": "Anne K.", 
        "id": "sg:person.01012611244.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01012611244.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Meteorology, Walker Institute for Climate System Research, University of Reading, Earley Gate, PO Box 243, RG6 6BB, Reading, UK", 
          "id": "http://www.grid.ac/institutes/grid.9435.b", 
          "name": [
            "Met Office, Hadley Centre, FitzRoy Road, EX1 3PB, Exeter, Devon, UK", 
            "Department of Meteorology, Walker Institute for Climate System Research, University of Reading, Earley Gate, PO Box 243, RG6 6BB, Reading, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gregory", 
        "givenName": "J. M.", 
        "id": "sg:person.0776106250.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0776106250.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Met Office, Hadley Centre, FitzRoy Road, EX1 3PB, Exeter, Devon, UK", 
          "id": "http://www.grid.ac/institutes/grid.17100.37", 
          "name": [
            "Met Office, Hadley Centre, FitzRoy Road, EX1 3PB, Exeter, Devon, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lowe", 
        "givenName": "J. A.", 
        "id": "sg:person.011066117233.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011066117233.90"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nature02771", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036499414", 
          "https://doi.org/10.1038/nature02771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003820100180", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021953269", 
          "https://doi.org/10.1007/s003820100180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ngeo462", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033999993", 
          "https://doi.org/10.1038/ngeo462"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-004-0505-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027674328", 
          "https://doi.org/10.1007/s00382-004-0505-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-006-9146-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016910488", 
          "https://doi.org/10.1007/s10584-006-9146-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00207937", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013933390", 
          "https://doi.org/10.1007/bf00207937"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00207938", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045706347", 
          "https://doi.org/10.1007/bf00207938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-008-9442-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008674793", 
          "https://doi.org/10.1007/s10584-008-9442-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003820000090", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021453074", 
          "https://doi.org/10.1007/s003820000090"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-01-30", 
    "datePublishedReg": "2010-01-30", 
    "description": "In addition to projected increases in global mean sea level over the 21st century, model simulations suggest there will also be changes in the regional distribution of sea level relative to the global mean. There is a considerable spread in the projected patterns of these changes by current models, as shown by the recent Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment (AR4). This spread has not reduced from that given by the Third Assessment models. Comparison with projections by ensembles of models based on a single structure supports an earlier suggestion that models of similar formulation give more similar patterns of sea level change. Analysing an AR4 ensemble of model projections under a business-as-usual scenario shows that steric changes (associated with subsurface ocean density changes) largely dominate the sea level pattern changes. The relative importance of subsurface temperature or salinity changes in contributing to this differs from region to region and, to an extent, from model-to-model. In general, thermosteric changes give the spatial variations in the Southern Ocean, halosteric changes dominate in the Arctic and strong compensation between thermosteric and halosteric changes characterises the Atlantic. The magnitude of sea level and component changes in the Atlantic appear to be linked to the amount of Atlantic meridional overturning circulation (MOC) weakening. When the MOC weakening is substantial, the Atlantic thermosteric patterns of change arise from a dominant role of ocean advective heat flux changes.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00382-009-0738-x", 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.7037241", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.12915243", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1049631", 
        "issn": [
          "0930-7575", 
          "1432-0894"
        ], 
        "name": "Climate Dynamics", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "9-10", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "36"
      }
    ], 
    "keywords": [
      "sea level", 
      "global mean sea level", 
      "Climate Change Fourth Assessment", 
      "sea-level changes", 
      "regional sea level", 
      "mean sea level", 
      "recent Intergovernmental Panel", 
      "heat flux changes", 
      "thermosteric changes", 
      "MOC weakening", 
      "Southern Ocean", 
      "subsurface temperature", 
      "ensemble of models", 
      "model projections", 
      "global mean", 
      "Intergovernmental Panel", 
      "model simulations", 
      "Fourth Assessment", 
      "steric changes", 
      "salinity changes", 
      "level changes", 
      "flux changes", 
      "spatial variation", 
      "considerable spread", 
      "strong compensation", 
      "Atlantic", 
      "model studies", 
      "regional distribution", 
      "twenty-first century", 
      "weakening", 
      "usual scenario", 
      "earlier suggestions", 
      "dominant role", 
      "pattern changes", 
      "relative importance", 
      "ensemble", 
      "Ocean", 
      "Arctic", 
      "projections", 
      "region", 
      "current models", 
      "century", 
      "changes", 
      "assessment model", 
      "similar pattern", 
      "patterns", 
      "component changes", 
      "model", 
      "magnitude", 
      "variation", 
      "distribution", 
      "scenarios", 
      "temperature", 
      "single structure", 
      "extent", 
      "simulations", 
      "similar formulation", 
      "amount", 
      "spread", 
      "comparison", 
      "levels", 
      "importance", 
      "increase", 
      "assessment", 
      "structure", 
      "study", 
      "means", 
      "factors", 
      "addition", 
      "role", 
      "suggestions", 
      "panel", 
      "formulation", 
      "compensation", 
      "business"
    ], 
    "name": "A model study of factors influencing projected changes in regional sea level over the twenty-first century", 
    "pagination": "2015-2033", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1050581958"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00382-009-0738-x"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00382-009-0738-x", 
      "https://app.dimensions.ai/details/publication/pub.1050581958"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-11-24T20:55", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221124/entities/gbq_results/article/article_513.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00382-009-0738-x"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00382-009-0738-x'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00382-009-0738-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00382-009-0738-x'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00382-009-0738-x'


 

This table displays all metadata directly associated to this object as RDF triples.

190 TRIPLES      21 PREDICATES      108 URIs      91 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00382-009-0738-x schema:about anzsrc-for:04
2 anzsrc-for:0405
3 schema:author Na48b13667ea84f369b437302a3a24fce
4 schema:citation sg:pub.10.1007/bf00207937
5 sg:pub.10.1007/bf00207938
6 sg:pub.10.1007/s00382-004-0505-y
7 sg:pub.10.1007/s003820000090
8 sg:pub.10.1007/s003820100180
9 sg:pub.10.1007/s10584-006-9146-y
10 sg:pub.10.1007/s10584-008-9442-9
11 sg:pub.10.1038/nature02771
12 sg:pub.10.1038/ngeo462
13 schema:datePublished 2010-01-30
14 schema:datePublishedReg 2010-01-30
15 schema:description In addition to projected increases in global mean sea level over the 21st century, model simulations suggest there will also be changes in the regional distribution of sea level relative to the global mean. There is a considerable spread in the projected patterns of these changes by current models, as shown by the recent Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment (AR4). This spread has not reduced from that given by the Third Assessment models. Comparison with projections by ensembles of models based on a single structure supports an earlier suggestion that models of similar formulation give more similar patterns of sea level change. Analysing an AR4 ensemble of model projections under a business-as-usual scenario shows that steric changes (associated with subsurface ocean density changes) largely dominate the sea level pattern changes. The relative importance of subsurface temperature or salinity changes in contributing to this differs from region to region and, to an extent, from model-to-model. In general, thermosteric changes give the spatial variations in the Southern Ocean, halosteric changes dominate in the Arctic and strong compensation between thermosteric and halosteric changes characterises the Atlantic. The magnitude of sea level and component changes in the Atlantic appear to be linked to the amount of Atlantic meridional overturning circulation (MOC) weakening. When the MOC weakening is substantial, the Atlantic thermosteric patterns of change arise from a dominant role of ocean advective heat flux changes.
16 schema:genre article
17 schema:isAccessibleForFree false
18 schema:isPartOf N3a3ac44dcc7245d592aab767df464863
19 N566d535c103245baae8a5a9763296bfb
20 sg:journal.1049631
21 schema:keywords Arctic
22 Atlantic
23 Climate Change Fourth Assessment
24 Fourth Assessment
25 Intergovernmental Panel
26 MOC weakening
27 Ocean
28 Southern Ocean
29 addition
30 amount
31 assessment
32 assessment model
33 business
34 century
35 changes
36 comparison
37 compensation
38 component changes
39 considerable spread
40 current models
41 distribution
42 dominant role
43 earlier suggestions
44 ensemble
45 ensemble of models
46 extent
47 factors
48 flux changes
49 formulation
50 global mean
51 global mean sea level
52 heat flux changes
53 importance
54 increase
55 level changes
56 levels
57 magnitude
58 mean sea level
59 means
60 model
61 model projections
62 model simulations
63 model studies
64 panel
65 pattern changes
66 patterns
67 projections
68 recent Intergovernmental Panel
69 region
70 regional distribution
71 regional sea level
72 relative importance
73 role
74 salinity changes
75 scenarios
76 sea level
77 sea-level changes
78 similar formulation
79 similar pattern
80 simulations
81 single structure
82 spatial variation
83 spread
84 steric changes
85 strong compensation
86 structure
87 study
88 subsurface temperature
89 suggestions
90 temperature
91 thermosteric changes
92 twenty-first century
93 usual scenario
94 variation
95 weakening
96 schema:name A model study of factors influencing projected changes in regional sea level over the twenty-first century
97 schema:pagination 2015-2033
98 schema:productId N32062d896a654ee8958a90be607f193a
99 Nf424f89a9a7c4fad9f34c772b319d43f
100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050581958
101 https://doi.org/10.1007/s00382-009-0738-x
102 schema:sdDatePublished 2022-11-24T20:55
103 schema:sdLicense https://scigraph.springernature.com/explorer/license/
104 schema:sdPublisher N8da2ba89739d44f8a4fbe8d84def8fed
105 schema:url https://doi.org/10.1007/s00382-009-0738-x
106 sgo:license sg:explorer/license/
107 sgo:sdDataset articles
108 rdf:type schema:ScholarlyArticle
109 N32062d896a654ee8958a90be607f193a schema:name dimensions_id
110 schema:value pub.1050581958
111 rdf:type schema:PropertyValue
112 N3a3ac44dcc7245d592aab767df464863 schema:volumeNumber 36
113 rdf:type schema:PublicationVolume
114 N566d535c103245baae8a5a9763296bfb schema:issueNumber 9-10
115 rdf:type schema:PublicationIssue
116 N8da2ba89739d44f8a4fbe8d84def8fed schema:name Springer Nature - SN SciGraph project
117 rdf:type schema:Organization
118 Na48b13667ea84f369b437302a3a24fce rdf:first sg:person.01012611244.47
119 rdf:rest Need132a88418400cb97aaef5fec8f08d
120 Nc9cff6ed69d340e6ad21192a4411dc8a rdf:first sg:person.011066117233.90
121 rdf:rest rdf:nil
122 Need132a88418400cb97aaef5fec8f08d rdf:first sg:person.0776106250.41
123 rdf:rest Nc9cff6ed69d340e6ad21192a4411dc8a
124 Nf424f89a9a7c4fad9f34c772b319d43f schema:name doi
125 schema:value 10.1007/s00382-009-0738-x
126 rdf:type schema:PropertyValue
127 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
128 schema:name Earth Sciences
129 rdf:type schema:DefinedTerm
130 anzsrc-for:0405 schema:inDefinedTermSet anzsrc-for:
131 schema:name Oceanography
132 rdf:type schema:DefinedTerm
133 sg:grant.12915243 http://pending.schema.org/fundedItem sg:pub.10.1007/s00382-009-0738-x
134 rdf:type schema:MonetaryGrant
135 sg:grant.7037241 http://pending.schema.org/fundedItem sg:pub.10.1007/s00382-009-0738-x
136 rdf:type schema:MonetaryGrant
137 sg:journal.1049631 schema:issn 0930-7575
138 1432-0894
139 schema:name Climate Dynamics
140 schema:publisher Springer Nature
141 rdf:type schema:Periodical
142 sg:person.01012611244.47 schema:affiliation grid-institutes:grid.17100.37
143 schema:familyName Pardaens
144 schema:givenName Anne K.
145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01012611244.47
146 rdf:type schema:Person
147 sg:person.011066117233.90 schema:affiliation grid-institutes:grid.17100.37
148 schema:familyName Lowe
149 schema:givenName J. A.
150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011066117233.90
151 rdf:type schema:Person
152 sg:person.0776106250.41 schema:affiliation grid-institutes:grid.9435.b
153 schema:familyName Gregory
154 schema:givenName J. M.
155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0776106250.41
156 rdf:type schema:Person
157 sg:pub.10.1007/bf00207937 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013933390
158 https://doi.org/10.1007/bf00207937
159 rdf:type schema:CreativeWork
160 sg:pub.10.1007/bf00207938 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045706347
161 https://doi.org/10.1007/bf00207938
162 rdf:type schema:CreativeWork
163 sg:pub.10.1007/s00382-004-0505-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1027674328
164 https://doi.org/10.1007/s00382-004-0505-y
165 rdf:type schema:CreativeWork
166 sg:pub.10.1007/s003820000090 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021453074
167 https://doi.org/10.1007/s003820000090
168 rdf:type schema:CreativeWork
169 sg:pub.10.1007/s003820100180 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021953269
170 https://doi.org/10.1007/s003820100180
171 rdf:type schema:CreativeWork
172 sg:pub.10.1007/s10584-006-9146-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1016910488
173 https://doi.org/10.1007/s10584-006-9146-y
174 rdf:type schema:CreativeWork
175 sg:pub.10.1007/s10584-008-9442-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008674793
176 https://doi.org/10.1007/s10584-008-9442-9
177 rdf:type schema:CreativeWork
178 sg:pub.10.1038/nature02771 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036499414
179 https://doi.org/10.1038/nature02771
180 rdf:type schema:CreativeWork
181 sg:pub.10.1038/ngeo462 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033999993
182 https://doi.org/10.1038/ngeo462
183 rdf:type schema:CreativeWork
184 grid-institutes:grid.17100.37 schema:alternateName Met Office, Hadley Centre, FitzRoy Road, EX1 3PB, Exeter, Devon, UK
185 schema:name Met Office, Hadley Centre, FitzRoy Road, EX1 3PB, Exeter, Devon, UK
186 rdf:type schema:Organization
187 grid-institutes:grid.9435.b schema:alternateName Department of Meteorology, Walker Institute for Climate System Research, University of Reading, Earley Gate, PO Box 243, RG6 6BB, Reading, UK
188 schema:name Department of Meteorology, Walker Institute for Climate System Research, University of Reading, Earley Gate, PO Box 243, RG6 6BB, Reading, UK
189 Met Office, Hadley Centre, FitzRoy Road, EX1 3PB, Exeter, Devon, UK
190 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...