The benefits of quantifying climate model uncertainty in climate change impacts assessment: an example with heat-related mortality change estimates View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-05

AUTHORS

Simon N. Gosling, Glenn R. McGregor, Jason A. Lowe

ABSTRACT

The majority of climate change impacts assessments account for climate change uncertainty by adopting the scenario-based approach. This typically involves assessing the impacts for a small number of emissions scenarios but neglecting the role of climate model physics uncertainty. Perturbed physics ensemble (PPE) climate simulations offer a unique opportunity to explore this uncertainty. Furthermore, PPEs mean it is now possible to make risk-based impacts estimates because they allow for a range of estimates to be presented to decision-makers, which spans the range of climate model physics uncertainty inherent from a given climate model and emissions scenario, due to uncertainty associated with the understanding of physical processes in the climate model. This is generally not possible with the scenario-based approach. Here, we present the first application of a PPE to estimate the impact of climate change on heat-related mortality. By using the estimated impacts of climate change on heat-related mortality in six cities, we demonstrate the benefits of quantifying climate model physics uncertainty in climate change impacts assessment over the more common scenario-based approach. We also show that the impacts are more sensitive to climate model physics uncertainty than they are to emissions scenario uncertainty, and least sensitive to whether the climate change projections are from a global climate model or a regional climate model. The results demonstrate the importance of presenting model uncertainties in climate change impacts assessments if the impacts are to be placed within a climate risk management framework. More... »

PAGES

217-231

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10584-011-0211-9

DOI

http://dx.doi.org/10.1007/s10584-011-0211-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052298293


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/2008/0401", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Atmospheric Sciences", 
        "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": "University of Nottingham", 
          "id": "https://www.grid.ac/institutes/grid.4563.4", 
          "name": [
            "School of Geography, The University of Nottingham, Nottingham, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gosling", 
        "givenName": "Simon N.", 
        "id": "sg:person.01257312051.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257312051.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Auckland", 
          "id": "https://www.grid.ac/institutes/grid.9654.e", 
          "name": [
            "School of Environment, The University of Auckland, Auckland, New Zealand"
          ], 
          "type": "Organization"
        }, 
        "familyName": "McGregor", 
        "givenName": "Glenn R.", 
        "id": "sg:person.015501335203.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015501335203.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Met Office", 
          "id": "https://www.grid.ac/institutes/grid.17100.37", 
          "name": [
            "The Met Office Hadley Centre, Exeter, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lowe", 
        "givenName": "Jason 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.10.1023/a:1012297314857", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001117225", 
          "https://doi.org/10.1023/a:1012297314857"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003820050009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002170907", 
          "https://doi.org/10.1007/s003820050009"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rsta.2007.2080", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003032616"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1026056215847", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003375013", 
          "https://doi.org/10.1023/a:1026056215847"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature02300", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006979406", 
          "https://doi.org/10.1038/nature02300"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature02300", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006979406", 
          "https://doi.org/10.1038/nature02300"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00484-007-0092-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008527257", 
          "https://doi.org/10.1007/s00484-007-0092-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00484-007-0092-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008527257", 
          "https://doi.org/10.1007/s00484-007-0092-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-008-9441-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009735448", 
          "https://doi.org/10.1007/s10584-008-9441-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-008-9441-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009735448", 
          "https://doi.org/10.1007/s10584-008-9441-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/bams-88-9-1383", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010559256"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00484-003-0180-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012513395", 
          "https://doi.org/10.1007/s00484-003-0180-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/3-540-28862-7_2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014586628", 
          "https://doi.org/10.1007/3-540-28862-7_2"
        ], 
        "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": "sg:pub.10.1007/s10584-008-9471-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016554480", 
          "https://doi.org/10.1007/s10584-008-9471-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-008-9471-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016554480", 
          "https://doi.org/10.1007/s10584-008-9471-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/hess-15-279-2011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016963375"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00484-008-0189-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018962007", 
          "https://doi.org/10.1007/s00484-008-0189-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00484-008-0189-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018962007", 
          "https://doi.org/10.1007/s00484-008-0189-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-006-0111-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021690503", 
          "https://doi.org/10.1007/s00382-006-0111-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-006-0111-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021690503", 
          "https://doi.org/10.1007/s00382-006-0111-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1098704", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024427568"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03301", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030001284", 
          "https://doi.org/10.1038/nature03301"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03301", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030001284", 
          "https://doi.org/10.1038/nature03301"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1026035305597", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035832790", 
          "https://doi.org/10.1023/a:1026035305597"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-1694(03)00065-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036165053"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-1694(03)00065-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036165053"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "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.10.1038/nature02771", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036499414", 
          "https://doi.org/10.1038/nature02771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gloplacha.2006.11.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038421763"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0501427102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041663908"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0501427102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041663908"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2486.2004.00824.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041688242"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-006-0121-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047210404", 
          "https://doi.org/10.1007/s00382-006-0121-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-006-0121-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047210404", 
          "https://doi.org/10.1007/s00382-006-0121-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-009-9758-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049027644", 
          "https://doi.org/10.1007/s10584-009-9758-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-009-9758-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049027644", 
          "https://doi.org/10.1007/s10584-009-9758-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-009-9758-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049027644", 
          "https://doi.org/10.1007/s10584-009-9758-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0309133311407650", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049308826"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0309133311407650", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049308826"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1755-1307/6/14/142010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049536492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2003gl018857", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052885067"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rsta.2007.2077", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053387847"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1094147", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062449337"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012-05", 
    "datePublishedReg": "2012-05-01", 
    "description": "The majority of climate change impacts assessments account for climate change uncertainty by adopting the scenario-based approach. This typically involves assessing the impacts for a small number of emissions scenarios but neglecting the role of climate model physics uncertainty. Perturbed physics ensemble (PPE) climate simulations offer a unique opportunity to explore this uncertainty. Furthermore, PPEs mean it is now possible to make risk-based impacts estimates because they allow for a range of estimates to be presented to decision-makers, which spans the range of climate model physics uncertainty inherent from a given climate model and emissions scenario, due to uncertainty associated with the understanding of physical processes in the climate model. This is generally not possible with the scenario-based approach. Here, we present the first application of a PPE to estimate the impact of climate change on heat-related mortality. By using the estimated impacts of climate change on heat-related mortality in six cities, we demonstrate the benefits of quantifying climate model physics uncertainty in climate change impacts assessment over the more common scenario-based approach. We also show that the impacts are more sensitive to climate model physics uncertainty than they are to emissions scenario uncertainty, and least sensitive to whether the climate change projections are from a global climate model or a regional climate model. The results demonstrate the importance of presenting model uncertainties in climate change impacts assessments if the impacts are to be placed within a climate risk management framework.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10584-011-0211-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1028211", 
        "issn": [
          "0165-0009", 
          "1573-1480"
        ], 
        "name": "Climatic Change", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "112"
      }
    ], 
    "name": "The benefits of quantifying climate model uncertainty in climate change impacts assessment: an example with heat-related mortality change estimates", 
    "pagination": "217-231", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "f91d662b20fe5a81f8cf7df5c386d736c6236ad383736962d3dfe48e5360c9c9"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10584-011-0211-9"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1052298293"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10584-011-0211-9", 
      "https://app.dimensions.ai/details/publication/pub.1052298293"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T22:25", 
    "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/v90/0000000001_0000000264/records_8690_00000483.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s10584-011-0211-9"
  }
]
 

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/s10584-011-0211-9'

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/s10584-011-0211-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10584-011-0211-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10584-011-0211-9'


 

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

188 TRIPLES      21 PREDICATES      57 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10584-011-0211-9 schema:about anzsrc-for:04
2 anzsrc-for:0401
3 schema:author Na05f5bc21bd2460da355a9a5e5f08576
4 schema:citation sg:pub.10.1007/3-540-28862-7_2
5 sg:pub.10.1007/s00382-006-0111-2
6 sg:pub.10.1007/s00382-006-0121-0
7 sg:pub.10.1007/s003820050009
8 sg:pub.10.1007/s003820050010
9 sg:pub.10.1007/s00484-003-0180-4
10 sg:pub.10.1007/s00484-007-0092-9
11 sg:pub.10.1007/s00484-008-0189-9
12 sg:pub.10.1007/s10584-008-9441-x
13 sg:pub.10.1007/s10584-008-9471-4
14 sg:pub.10.1007/s10584-009-9758-0
15 sg:pub.10.1023/a:1012297314857
16 sg:pub.10.1023/a:1026035305597
17 sg:pub.10.1023/a:1026056215847
18 sg:pub.10.1038/nature02300
19 sg:pub.10.1038/nature02771
20 sg:pub.10.1038/nature03301
21 https://doi.org/10.1016/j.gloplacha.2006.11.030
22 https://doi.org/10.1016/s0022-1694(03)00065-9
23 https://doi.org/10.1029/2003gl018857
24 https://doi.org/10.1073/pnas.0501427102
25 https://doi.org/10.1088/1755-1307/6/14/142010
26 https://doi.org/10.1098/rsta.2007.2077
27 https://doi.org/10.1098/rsta.2007.2080
28 https://doi.org/10.1111/j.1365-2486.2004.00824.x
29 https://doi.org/10.1126/science.1094147
30 https://doi.org/10.1126/science.1098704
31 https://doi.org/10.1175/bams-88-9-1383
32 https://doi.org/10.1177/0309133311407650
33 https://doi.org/10.5194/hess-15-279-2011
34 schema:datePublished 2012-05
35 schema:datePublishedReg 2012-05-01
36 schema:description The majority of climate change impacts assessments account for climate change uncertainty by adopting the scenario-based approach. This typically involves assessing the impacts for a small number of emissions scenarios but neglecting the role of climate model physics uncertainty. Perturbed physics ensemble (PPE) climate simulations offer a unique opportunity to explore this uncertainty. Furthermore, PPEs mean it is now possible to make risk-based impacts estimates because they allow for a range of estimates to be presented to decision-makers, which spans the range of climate model physics uncertainty inherent from a given climate model and emissions scenario, due to uncertainty associated with the understanding of physical processes in the climate model. This is generally not possible with the scenario-based approach. Here, we present the first application of a PPE to estimate the impact of climate change on heat-related mortality. By using the estimated impacts of climate change on heat-related mortality in six cities, we demonstrate the benefits of quantifying climate model physics uncertainty in climate change impacts assessment over the more common scenario-based approach. We also show that the impacts are more sensitive to climate model physics uncertainty than they are to emissions scenario uncertainty, and least sensitive to whether the climate change projections are from a global climate model or a regional climate model. The results demonstrate the importance of presenting model uncertainties in climate change impacts assessments if the impacts are to be placed within a climate risk management framework.
37 schema:genre research_article
38 schema:inLanguage en
39 schema:isAccessibleForFree false
40 schema:isPartOf N5d45a0c97cc9417a97349f7c45c5f250
41 N887d40b74d444d51ab133e51f4e8b951
42 sg:journal.1028211
43 schema:name The benefits of quantifying climate model uncertainty in climate change impacts assessment: an example with heat-related mortality change estimates
44 schema:pagination 217-231
45 schema:productId N059c296cd6164085ae08960fcdcd7e62
46 N0daa6dc3c8d2479d88ed467548c3dbfa
47 N149086e235f740b0812875870de09a34
48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052298293
49 https://doi.org/10.1007/s10584-011-0211-9
50 schema:sdDatePublished 2019-04-10T22:25
51 schema:sdLicense https://scigraph.springernature.com/explorer/license/
52 schema:sdPublisher N11b387fc8a6f4660922fac3ff9cd05d5
53 schema:url http://link.springer.com/10.1007/s10584-011-0211-9
54 sgo:license sg:explorer/license/
55 sgo:sdDataset articles
56 rdf:type schema:ScholarlyArticle
57 N059c296cd6164085ae08960fcdcd7e62 schema:name doi
58 schema:value 10.1007/s10584-011-0211-9
59 rdf:type schema:PropertyValue
60 N0daa6dc3c8d2479d88ed467548c3dbfa schema:name readcube_id
61 schema:value f91d662b20fe5a81f8cf7df5c386d736c6236ad383736962d3dfe48e5360c9c9
62 rdf:type schema:PropertyValue
63 N11b387fc8a6f4660922fac3ff9cd05d5 schema:name Springer Nature - SN SciGraph project
64 rdf:type schema:Organization
65 N149086e235f740b0812875870de09a34 schema:name dimensions_id
66 schema:value pub.1052298293
67 rdf:type schema:PropertyValue
68 N5a8c84c643264120bd576453aff18402 rdf:first sg:person.015501335203.19
69 rdf:rest Nb0f9f0f20c974740a3bec6872e46e7a6
70 N5d45a0c97cc9417a97349f7c45c5f250 schema:volumeNumber 112
71 rdf:type schema:PublicationVolume
72 N887d40b74d444d51ab133e51f4e8b951 schema:issueNumber 2
73 rdf:type schema:PublicationIssue
74 Na05f5bc21bd2460da355a9a5e5f08576 rdf:first sg:person.01257312051.24
75 rdf:rest N5a8c84c643264120bd576453aff18402
76 Nb0f9f0f20c974740a3bec6872e46e7a6 rdf:first sg:person.011066117233.90
77 rdf:rest rdf:nil
78 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
79 schema:name Earth Sciences
80 rdf:type schema:DefinedTerm
81 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
82 schema:name Atmospheric Sciences
83 rdf:type schema:DefinedTerm
84 sg:journal.1028211 schema:issn 0165-0009
85 1573-1480
86 schema:name Climatic Change
87 rdf:type schema:Periodical
88 sg:person.011066117233.90 schema:affiliation https://www.grid.ac/institutes/grid.17100.37
89 schema:familyName Lowe
90 schema:givenName Jason A.
91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011066117233.90
92 rdf:type schema:Person
93 sg:person.01257312051.24 schema:affiliation https://www.grid.ac/institutes/grid.4563.4
94 schema:familyName Gosling
95 schema:givenName Simon N.
96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257312051.24
97 rdf:type schema:Person
98 sg:person.015501335203.19 schema:affiliation https://www.grid.ac/institutes/grid.9654.e
99 schema:familyName McGregor
100 schema:givenName Glenn R.
101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015501335203.19
102 rdf:type schema:Person
103 sg:pub.10.1007/3-540-28862-7_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014586628
104 https://doi.org/10.1007/3-540-28862-7_2
105 rdf:type schema:CreativeWork
106 sg:pub.10.1007/s00382-006-0111-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021690503
107 https://doi.org/10.1007/s00382-006-0111-2
108 rdf:type schema:CreativeWork
109 sg:pub.10.1007/s00382-006-0121-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047210404
110 https://doi.org/10.1007/s00382-006-0121-0
111 rdf:type schema:CreativeWork
112 sg:pub.10.1007/s003820050009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002170907
113 https://doi.org/10.1007/s003820050009
114 rdf:type schema:CreativeWork
115 sg:pub.10.1007/s003820050010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015242699
116 https://doi.org/10.1007/s003820050010
117 rdf:type schema:CreativeWork
118 sg:pub.10.1007/s00484-003-0180-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012513395
119 https://doi.org/10.1007/s00484-003-0180-4
120 rdf:type schema:CreativeWork
121 sg:pub.10.1007/s00484-007-0092-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008527257
122 https://doi.org/10.1007/s00484-007-0092-9
123 rdf:type schema:CreativeWork
124 sg:pub.10.1007/s00484-008-0189-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018962007
125 https://doi.org/10.1007/s00484-008-0189-9
126 rdf:type schema:CreativeWork
127 sg:pub.10.1007/s10584-008-9441-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1009735448
128 https://doi.org/10.1007/s10584-008-9441-x
129 rdf:type schema:CreativeWork
130 sg:pub.10.1007/s10584-008-9471-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016554480
131 https://doi.org/10.1007/s10584-008-9471-4
132 rdf:type schema:CreativeWork
133 sg:pub.10.1007/s10584-009-9758-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049027644
134 https://doi.org/10.1007/s10584-009-9758-0
135 rdf:type schema:CreativeWork
136 sg:pub.10.1023/a:1012297314857 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001117225
137 https://doi.org/10.1023/a:1012297314857
138 rdf:type schema:CreativeWork
139 sg:pub.10.1023/a:1026035305597 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035832790
140 https://doi.org/10.1023/a:1026035305597
141 rdf:type schema:CreativeWork
142 sg:pub.10.1023/a:1026056215847 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003375013
143 https://doi.org/10.1023/a:1026056215847
144 rdf:type schema:CreativeWork
145 sg:pub.10.1038/nature02300 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006979406
146 https://doi.org/10.1038/nature02300
147 rdf:type schema:CreativeWork
148 sg:pub.10.1038/nature02771 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036499414
149 https://doi.org/10.1038/nature02771
150 rdf:type schema:CreativeWork
151 sg:pub.10.1038/nature03301 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030001284
152 https://doi.org/10.1038/nature03301
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/j.gloplacha.2006.11.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038421763
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/s0022-1694(03)00065-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036165053
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1029/2003gl018857 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052885067
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1073/pnas.0501427102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041663908
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1088/1755-1307/6/14/142010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049536492
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1098/rsta.2007.2077 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053387847
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1098/rsta.2007.2080 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003032616
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1111/j.1365-2486.2004.00824.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1041688242
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1126/science.1094147 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062449337
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1126/science.1098704 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024427568
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1175/bams-88-9-1383 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010559256
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1177/0309133311407650 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049308826
177 rdf:type schema:CreativeWork
178 https://doi.org/10.5194/hess-15-279-2011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016963375
179 rdf:type schema:CreativeWork
180 https://www.grid.ac/institutes/grid.17100.37 schema:alternateName Met Office
181 schema:name The Met Office Hadley Centre, Exeter, UK
182 rdf:type schema:Organization
183 https://www.grid.ac/institutes/grid.4563.4 schema:alternateName University of Nottingham
184 schema:name School of Geography, The University of Nottingham, Nottingham, UK
185 rdf:type schema:Organization
186 https://www.grid.ac/institutes/grid.9654.e schema:alternateName University of Auckland
187 schema:name School of Environment, The University of Auckland, Auckland, New Zealand
188 rdf:type schema:Organization
 




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


...