Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2000-11

AUTHORS

Peter M. Cox, Richard A. Betts, Chris D. Jones, Steven A. Spall, Ian J. Totterdell

ABSTRACT

The continued increase in the atmospheric concentration of carbon dioxide due to anthropogenic emissions is predicted to lead to significant changes in climate. About half of the current emissions are being absorbed by the ocean and by land ecosystems, but this absorption is sensitive to climate as well as to atmospheric carbon dioxide concentrations, creating a feedback loop. General circulation models have generally excluded the feedback between climate and the biosphere, using static vegetation distributions and CO2 concentrations from simple carbon-cycle models that do not include climate change. Here we present results from a fully coupled, three-dimensional carbon-climate model, indicating that carbon-cycle feedbacks could significantly accelerate climate change over the twenty-first century. We find that under a 'business as usual' scenario, the terrestrial biosphere acts as an overall carbon sink until about 2050, but turns into a source thereafter. By 2100, the ocean uptake rate of 5 Gt C yr(-1) is balanced by the terrestrial carbon source, and atmospheric CO2 concentrations are 250 p.p.m.v. higher in our fully coupled simulation than in uncoupled carbon models, resulting in a global-mean warming of 5.5 K, as compared to 4 K without the carbon-cycle feedback. More... »

PAGES

184

References to SciGraph publications

Journal

TITLE

Nature

ISSUE

6809

VOLUME

408

Author Affiliations

Related Patents

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/35041539

DOI

http://dx.doi.org/10.1038/35041539

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1011328414

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/11089968


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/2008/0405", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oceanography", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Met Office", 
          "id": "https://www.grid.ac/institutes/grid.17100.37", 
          "name": [
            "*Hadley Centre, The Met Office, Bracknell, Berkshire RG12 2SY, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cox", 
        "givenName": "Peter M.", 
        "id": "sg:person.01067107161.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067107161.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Met Office", 
          "id": "https://www.grid.ac/institutes/grid.17100.37", 
          "name": [
            "*Hadley Centre, The Met Office, Bracknell, Berkshire RG12 2SY, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Betts", 
        "givenName": "Richard A.", 
        "id": "sg:person.01362076543.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362076543.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Met Office", 
          "id": "https://www.grid.ac/institutes/grid.17100.37", 
          "name": [
            "*Hadley Centre, The Met Office, Bracknell, Berkshire RG12 2SY, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jones", 
        "givenName": "Chris D.", 
        "id": "sg:person.0752721043.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0752721043.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Met Office", 
          "id": "https://www.grid.ac/institutes/grid.17100.37", 
          "name": [
            "*Hadley Centre, The Met Office, Bracknell, Berkshire RG12 2SY, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Spall", 
        "givenName": "Steven A.", 
        "id": "sg:person.01132335745.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132335745.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "\u2020Southampton Oceanography Centre, European Way, Southampton SO14 3ZH, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Totterdell", 
        "givenName": "Ian J.", 
        "id": "sg:person.012305725365.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012305725365.32"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/joc.3370050202", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001329118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/376501a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002349860", 
          "https://doi.org/10.1038/376501a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/30455", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002579097", 
          "https://doi.org/10.1038/30455"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/30455", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002579097", 
          "https://doi.org/10.1038/30455"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/42924", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007351501", 
          "https://doi.org/10.1038/42924"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/42924", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007351501", 
          "https://doi.org/10.1038/42924"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/25328", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007724288", 
          "https://doi.org/10.1038/25328"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/25328", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007724288", 
          "https://doi.org/10.1038/25328"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-1694(98)00203-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008554615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/21170", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011881242", 
          "https://doi.org/10.1038/21170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/21170", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011881242", 
          "https://doi.org/10.1038/21170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/30460", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015189477", 
          "https://doi.org/10.1038/30460"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/30460", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015189477", 
          "https://doi.org/10.1038/30460"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003820050010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015242699", 
          "https://doi.org/10.1007/s003820050010"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/95gb02832", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015592052"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003820050276", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018345935", 
          "https://doi.org/10.1007/s003820050276"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1071/pp9920519", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018730870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35009076", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022302541", 
          "https://doi.org/10.1038/35009076"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35009076", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022302541", 
          "https://doi.org/10.1038/35009076"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/92gb00219", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025486265"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0967-0637(00)00080-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030063487"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/375666a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036897492", 
          "https://doi.org/10.1038/375666a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1034/j.1600-0889.1992.t01-1-00001.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040724870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/95gb02746", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041956869"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2486.2001.00383.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044610037"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0168-1923(91)90002-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050342862"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0168-1923(91)90002-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050342862"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/plankt/17.6.1245", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059975977"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.274.5291.1346", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062554930"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.281.5374.237", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062561746"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3402/tellusb.v44i2.15428", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071281720"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2000-11", 
    "datePublishedReg": "2000-11-01", 
    "description": "The continued increase in the atmospheric concentration of carbon dioxide due to anthropogenic emissions is predicted to lead to significant changes in climate. About half of the current emissions are being absorbed by the ocean and by land ecosystems, but this absorption is sensitive to climate as well as to atmospheric carbon dioxide concentrations, creating a feedback loop. General circulation models have generally excluded the feedback between climate and the biosphere, using static vegetation distributions and CO2 concentrations from simple carbon-cycle models that do not include climate change. Here we present results from a fully coupled, three-dimensional carbon-climate model, indicating that carbon-cycle feedbacks could significantly accelerate climate change over the twenty-first century. We find that under a 'business as usual' scenario, the terrestrial biosphere acts as an overall carbon sink until about 2050, but turns into a source thereafter. By 2100, the ocean uptake rate of 5 Gt C yr(-1) is balanced by the terrestrial carbon source, and atmospheric CO2 concentrations are 250 p.p.m.v. higher in our fully coupled simulation than in uncoupled carbon models, resulting in a global-mean warming of 5.5 K, as compared to 4 K without the carbon-cycle feedback.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/35041539", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1018957", 
        "issn": [
          "0090-0028", 
          "1476-4687"
        ], 
        "name": "Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6809", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "408"
      }
    ], 
    "name": "Acceleration of global warming due to carbon-cycle feedbacks in a coupled\nclimate model", 
    "pagination": "184", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "35f8eb431da444bad6832494cc439e111320886dda73c870378749c9c33c824a"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "11089968"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0410462"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/35041539"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1011328414"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/35041539", 
      "https://app.dimensions.ai/details/publication/pub.1011328414"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:27", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000362_0000000362/records_87119_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/35041539"
  }
]
 

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.10.1038/35041539'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/35041539'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/35041539'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/35041539'


 

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

181 TRIPLES      21 PREDICATES      53 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/35041539 schema:about anzsrc-for:04
2 anzsrc-for:0405
3 schema:author N7205dc84b5184d82a83710c43e9c3cb5
4 schema:citation sg:pub.10.1007/s003820050010
5 sg:pub.10.1007/s003820050276
6 sg:pub.10.1038/21170
7 sg:pub.10.1038/25328
8 sg:pub.10.1038/30455
9 sg:pub.10.1038/30460
10 sg:pub.10.1038/35009076
11 sg:pub.10.1038/375666a0
12 sg:pub.10.1038/376501a0
13 sg:pub.10.1038/42924
14 https://doi.org/10.1002/joc.3370050202
15 https://doi.org/10.1016/0168-1923(91)90002-8
16 https://doi.org/10.1016/s0022-1694(98)00203-0
17 https://doi.org/10.1016/s0967-0637(00)00080-7
18 https://doi.org/10.1029/92gb00219
19 https://doi.org/10.1029/95gb02746
20 https://doi.org/10.1029/95gb02832
21 https://doi.org/10.1034/j.1600-0889.1992.t01-1-00001.x
22 https://doi.org/10.1046/j.1365-2486.2001.00383.x
23 https://doi.org/10.1071/pp9920519
24 https://doi.org/10.1093/plankt/17.6.1245
25 https://doi.org/10.1126/science.274.5291.1346
26 https://doi.org/10.1126/science.281.5374.237
27 https://doi.org/10.3402/tellusb.v44i2.15428
28 schema:datePublished 2000-11
29 schema:datePublishedReg 2000-11-01
30 schema:description The continued increase in the atmospheric concentration of carbon dioxide due to anthropogenic emissions is predicted to lead to significant changes in climate. About half of the current emissions are being absorbed by the ocean and by land ecosystems, but this absorption is sensitive to climate as well as to atmospheric carbon dioxide concentrations, creating a feedback loop. General circulation models have generally excluded the feedback between climate and the biosphere, using static vegetation distributions and CO2 concentrations from simple carbon-cycle models that do not include climate change. Here we present results from a fully coupled, three-dimensional carbon-climate model, indicating that carbon-cycle feedbacks could significantly accelerate climate change over the twenty-first century. We find that under a 'business as usual' scenario, the terrestrial biosphere acts as an overall carbon sink until about 2050, but turns into a source thereafter. By 2100, the ocean uptake rate of 5 Gt C yr(-1) is balanced by the terrestrial carbon source, and atmospheric CO2 concentrations are 250 p.p.m.v. higher in our fully coupled simulation than in uncoupled carbon models, resulting in a global-mean warming of 5.5 K, as compared to 4 K without the carbon-cycle feedback.
31 schema:genre research_article
32 schema:inLanguage en
33 schema:isAccessibleForFree false
34 schema:isPartOf N05c870d42456418baf842523abda2e1d
35 N46bae5fe7e9942c2a1c90707615b2304
36 sg:journal.1018957
37 schema:name Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model
38 schema:pagination 184
39 schema:productId N307c318a213a428a9b9f0a50c557308e
40 N4168543b288c4079b1fc5df620622c7d
41 N93c2f7953dff47f0bc7d75ce4dabb864
42 Nf9110667105047bc9064c14c5d9a6047
43 Nfefa671b56784badb30c273f01ef8e06
44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011328414
45 https://doi.org/10.1038/35041539
46 schema:sdDatePublished 2019-04-11T12:27
47 schema:sdLicense https://scigraph.springernature.com/explorer/license/
48 schema:sdPublisher N6d1f63f15a2d44c888be812eb46284fa
49 schema:url https://www.nature.com/articles/35041539
50 sgo:license sg:explorer/license/
51 sgo:sdDataset articles
52 rdf:type schema:ScholarlyArticle
53 N05c870d42456418baf842523abda2e1d schema:issueNumber 6809
54 rdf:type schema:PublicationIssue
55 N201509e2acfd417996936fb3aeb447b2 rdf:first sg:person.01362076543.08
56 rdf:rest Nfb7cefebcae54ebd9f6cd2b95ffaeaf9
57 N211fe9b70f86431481b7c8dbd8b5212b rdf:first sg:person.012305725365.32
58 rdf:rest rdf:nil
59 N307c318a213a428a9b9f0a50c557308e schema:name dimensions_id
60 schema:value pub.1011328414
61 rdf:type schema:PropertyValue
62 N4168543b288c4079b1fc5df620622c7d schema:name nlm_unique_id
63 schema:value 0410462
64 rdf:type schema:PropertyValue
65 N46bae5fe7e9942c2a1c90707615b2304 schema:volumeNumber 408
66 rdf:type schema:PublicationVolume
67 N55f5586c752543ce973c4c60f3349274 schema:name †Southampton Oceanography Centre, European Way, Southampton SO14 3ZH, UK
68 rdf:type schema:Organization
69 N6d1f63f15a2d44c888be812eb46284fa schema:name Springer Nature - SN SciGraph project
70 rdf:type schema:Organization
71 N7205dc84b5184d82a83710c43e9c3cb5 rdf:first sg:person.01067107161.45
72 rdf:rest N201509e2acfd417996936fb3aeb447b2
73 N73ead0e714b44edf8127f2907508edff rdf:first sg:person.01132335745.00
74 rdf:rest N211fe9b70f86431481b7c8dbd8b5212b
75 N93c2f7953dff47f0bc7d75ce4dabb864 schema:name readcube_id
76 schema:value 35f8eb431da444bad6832494cc439e111320886dda73c870378749c9c33c824a
77 rdf:type schema:PropertyValue
78 Nf9110667105047bc9064c14c5d9a6047 schema:name pubmed_id
79 schema:value 11089968
80 rdf:type schema:PropertyValue
81 Nfb7cefebcae54ebd9f6cd2b95ffaeaf9 rdf:first sg:person.0752721043.33
82 rdf:rest N73ead0e714b44edf8127f2907508edff
83 Nfefa671b56784badb30c273f01ef8e06 schema:name doi
84 schema:value 10.1038/35041539
85 rdf:type schema:PropertyValue
86 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
87 schema:name Earth Sciences
88 rdf:type schema:DefinedTerm
89 anzsrc-for:0405 schema:inDefinedTermSet anzsrc-for:
90 schema:name Oceanography
91 rdf:type schema:DefinedTerm
92 sg:journal.1018957 schema:issn 0090-0028
93 1476-4687
94 schema:name Nature
95 rdf:type schema:Periodical
96 sg:person.01067107161.45 schema:affiliation https://www.grid.ac/institutes/grid.17100.37
97 schema:familyName Cox
98 schema:givenName Peter M.
99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067107161.45
100 rdf:type schema:Person
101 sg:person.01132335745.00 schema:affiliation https://www.grid.ac/institutes/grid.17100.37
102 schema:familyName Spall
103 schema:givenName Steven A.
104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132335745.00
105 rdf:type schema:Person
106 sg:person.012305725365.32 schema:affiliation N55f5586c752543ce973c4c60f3349274
107 schema:familyName Totterdell
108 schema:givenName Ian J.
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012305725365.32
110 rdf:type schema:Person
111 sg:person.01362076543.08 schema:affiliation https://www.grid.ac/institutes/grid.17100.37
112 schema:familyName Betts
113 schema:givenName Richard A.
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362076543.08
115 rdf:type schema:Person
116 sg:person.0752721043.33 schema:affiliation https://www.grid.ac/institutes/grid.17100.37
117 schema:familyName Jones
118 schema:givenName Chris D.
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0752721043.33
120 rdf:type schema:Person
121 sg:pub.10.1007/s003820050010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015242699
122 https://doi.org/10.1007/s003820050010
123 rdf:type schema:CreativeWork
124 sg:pub.10.1007/s003820050276 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018345935
125 https://doi.org/10.1007/s003820050276
126 rdf:type schema:CreativeWork
127 sg:pub.10.1038/21170 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011881242
128 https://doi.org/10.1038/21170
129 rdf:type schema:CreativeWork
130 sg:pub.10.1038/25328 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007724288
131 https://doi.org/10.1038/25328
132 rdf:type schema:CreativeWork
133 sg:pub.10.1038/30455 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002579097
134 https://doi.org/10.1038/30455
135 rdf:type schema:CreativeWork
136 sg:pub.10.1038/30460 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015189477
137 https://doi.org/10.1038/30460
138 rdf:type schema:CreativeWork
139 sg:pub.10.1038/35009076 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022302541
140 https://doi.org/10.1038/35009076
141 rdf:type schema:CreativeWork
142 sg:pub.10.1038/375666a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036897492
143 https://doi.org/10.1038/375666a0
144 rdf:type schema:CreativeWork
145 sg:pub.10.1038/376501a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002349860
146 https://doi.org/10.1038/376501a0
147 rdf:type schema:CreativeWork
148 sg:pub.10.1038/42924 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007351501
149 https://doi.org/10.1038/42924
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1002/joc.3370050202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001329118
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1016/0168-1923(91)90002-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050342862
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1016/s0022-1694(98)00203-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008554615
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1016/s0967-0637(00)00080-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030063487
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1029/92gb00219 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025486265
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1029/95gb02746 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041956869
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1029/95gb02832 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015592052
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1034/j.1600-0889.1992.t01-1-00001.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1040724870
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1046/j.1365-2486.2001.00383.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044610037
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1071/pp9920519 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018730870
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1093/plankt/17.6.1245 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059975977
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1126/science.274.5291.1346 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062554930
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1126/science.281.5374.237 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062561746
176 rdf:type schema:CreativeWork
177 https://doi.org/10.3402/tellusb.v44i2.15428 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071281720
178 rdf:type schema:CreativeWork
179 https://www.grid.ac/institutes/grid.17100.37 schema:alternateName Met Office
180 schema:name *Hadley Centre, The Met Office, Bracknell, Berkshire RG12 2SY, UK
181 rdf:type schema:Organization
 




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


...