The impacts avoided with a 1.5 °C climate target: a global and regional assessment View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-03

AUTHORS

Nigel W. Arnell, Jason A. Lowe, Ben Lloyd-Hughes, Timothy J. Osborn

ABSTRACT

The 2015 Paris Agreement commits countries to pursue efforts to limit the increase in global mean temperature to 1.5 °C above pre-industrial levels. We assess the consequences of achieving this target in 2100 for the impacts that are avoided, using several indicators of impact (exposure to drought, river flooding, heat waves and demands for heating and cooling energy). The proportion of impacts that are avoided is not simply equal to the proportional reduction in temperature. At the global scale, the median proportion of projected impacts avoided by the 1.5 °C target relative to a rise of 4 °C ranges between 62 and 95% across sectors: the greatest reduction is for heat wave impacts. The 1.5 °C target results in impacts that would be between 27 and 62% lower than with the 2 °C target. For each indicator, there are differences in the proportions of impacts avoided between regions depending on exposure and the regional changes in climate (particularly precipitation). Uncertainty in the proportion of impacts that are avoided for a specific sector depends on the range in the shape of the relationship between global temperature change and impact, and this varies between sectors. More... »

PAGES

61-76

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10584-017-2115-9

DOI

http://dx.doi.org/10.1007/s10584-017-2115-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1099699981


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/2008/0915", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Interdisciplinary Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Reading", 
          "id": "https://www.grid.ac/institutes/grid.9435.b", 
          "name": [
            "Department of Meteorology and Walker Institute, University of Reading, Reading, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Arnell", 
        "givenName": "Nigel W.", 
        "id": "sg:person.0743535320.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743535320.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Leeds", 
          "id": "https://www.grid.ac/institutes/grid.9909.9", 
          "name": [
            "Met Office Hadley Centre, Exeter, UK", 
            "Priestley Centre, University of Leeds, Leeds, 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"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Reading", 
          "id": "https://www.grid.ac/institutes/grid.9435.b", 
          "name": [
            "Institute for Environmental Analytics, University of Reading, Reading, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lloyd-Hughes", 
        "givenName": "Ben", 
        "id": "sg:person.016330736535.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016330736535.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of East Anglia", 
          "id": "https://www.grid.ac/institutes/grid.8273.e", 
          "name": [
            "Climatic Research Unit, School of Environmental Sciences, University of East Anglia, Norwich, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Osborn", 
        "givenName": "Timothy J.", 
        "id": "sg:person.01137064640.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01137064640.48"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.enpol.2008.09.051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009520846"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-013-1034-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009542838", 
          "https://doi.org/10.1007/s10584-013-1034-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-013-1034-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009542838", 
          "https://doi.org/10.1007/s10584-013-1034-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1312330110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009879152"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gloenvcha.2016.05.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018615969"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2011jd017187", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020445093"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nclimate1887", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021684968", 
          "https://doi.org/10.1038/nclimate1887"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-013-1032-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023842732", 
          "https://doi.org/10.1007/s10584-013-1032-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nclimate1911", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024940405", 
          "https://doi.org/10.1038/nclimate1911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gloenvcha.2016.06.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027932240"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2007gl032487", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032424757"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-015-1509-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036098000", 
          "https://doi.org/10.1007/s10584-015-1509-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-015-1509-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036098000", 
          "https://doi.org/10.1007/s10584-015-1509-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2007gb002952", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037338284"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-014-1084-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037733400", 
          "https://doi.org/10.1007/s10584-014-1084-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-014-1084-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037733400", 
          "https://doi.org/10.1007/s10584-014-1084-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/joc.3711", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038108572"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/2011jhm1324.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040584698"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/2009jcli2909.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044105013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/2011jhm1369.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045305881"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ngeo1047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049571320", 
          "https://doi.org/10.1038/ngeo1047"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hyp.7727", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051418483"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/bams-d-11-00094.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051805105"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/esd-7-327-2016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072667353"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/wcc.457", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074197455"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-03", 
    "datePublishedReg": "2018-03-01", 
    "description": "The 2015 Paris Agreement commits countries to pursue efforts to limit the increase in global mean temperature to 1.5 \u00b0C above pre-industrial levels. We assess the consequences of achieving this target in 2100 for the impacts that are avoided, using several indicators of impact (exposure to drought, river flooding, heat waves and demands for heating and cooling energy). The proportion of impacts that are avoided is not simply equal to the proportional reduction in temperature. At the global scale, the median proportion of projected impacts avoided by the 1.5 \u00b0C target relative to a rise of 4 \u00b0C ranges between 62 and 95% across sectors: the greatest reduction is for heat wave impacts. The 1.5 \u00b0C target results in impacts that would be between 27 and 62% lower than with the 2 \u00b0C target. For each indicator, there are differences in the proportions of impacts avoided between regions depending on exposure and the regional changes in climate (particularly precipitation). Uncertainty in the proportion of impacts that are avoided for a specific sector depends on the range in the shape of the relationship between global temperature change and impact, and this varies between sectors.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10584-017-2115-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1028211", 
        "issn": [
          "0165-0009", 
          "1573-1480"
        ], 
        "name": "Climatic Change", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1-2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "147"
      }
    ], 
    "name": "The impacts avoided with a 1.5 \u00b0C climate target: a global and regional assessment", 
    "pagination": "61-76", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "a560234bad62d97b977b866291bf46689615206088cb1ab1f096e7484ca706c9"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10584-017-2115-9"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1099699981"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10584-017-2115-9", 
      "https://app.dimensions.ai/details/publication/pub.1099699981"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:23", 
    "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_8660_00000603.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s10584-017-2115-9"
  }
]
 

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/s10584-017-2115-9'

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/s10584-017-2115-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10584-017-2115-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10584-017-2115-9'


 

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

163 TRIPLES      21 PREDICATES      49 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10584-017-2115-9 schema:about anzsrc-for:09
2 anzsrc-for:0915
3 schema:author N2b9e960f65e34ccfa2767c2d8faaebff
4 schema:citation sg:pub.10.1007/s10584-013-1032-9
5 sg:pub.10.1007/s10584-013-1034-7
6 sg:pub.10.1007/s10584-014-1084-5
7 sg:pub.10.1007/s10584-015-1509-9
8 sg:pub.10.1038/nclimate1887
9 sg:pub.10.1038/nclimate1911
10 sg:pub.10.1038/ngeo1047
11 https://doi.org/10.1002/hyp.7727
12 https://doi.org/10.1002/joc.3711
13 https://doi.org/10.1002/wcc.457
14 https://doi.org/10.1016/j.enpol.2008.09.051
15 https://doi.org/10.1016/j.gloenvcha.2016.05.009
16 https://doi.org/10.1016/j.gloenvcha.2016.06.004
17 https://doi.org/10.1029/2007gb002952
18 https://doi.org/10.1029/2007gl032487
19 https://doi.org/10.1029/2011jd017187
20 https://doi.org/10.1073/pnas.1312330110
21 https://doi.org/10.1175/2009jcli2909.1
22 https://doi.org/10.1175/2011jhm1324.1
23 https://doi.org/10.1175/2011jhm1369.1
24 https://doi.org/10.1175/bams-d-11-00094.1
25 https://doi.org/10.5194/esd-7-327-2016
26 schema:datePublished 2018-03
27 schema:datePublishedReg 2018-03-01
28 schema:description The 2015 Paris Agreement commits countries to pursue efforts to limit the increase in global mean temperature to 1.5 °C above pre-industrial levels. We assess the consequences of achieving this target in 2100 for the impacts that are avoided, using several indicators of impact (exposure to drought, river flooding, heat waves and demands for heating and cooling energy). The proportion of impacts that are avoided is not simply equal to the proportional reduction in temperature. At the global scale, the median proportion of projected impacts avoided by the 1.5 °C target relative to a rise of 4 °C ranges between 62 and 95% across sectors: the greatest reduction is for heat wave impacts. The 1.5 °C target results in impacts that would be between 27 and 62% lower than with the 2 °C target. For each indicator, there are differences in the proportions of impacts avoided between regions depending on exposure and the regional changes in climate (particularly precipitation). Uncertainty in the proportion of impacts that are avoided for a specific sector depends on the range in the shape of the relationship between global temperature change and impact, and this varies between sectors.
29 schema:genre research_article
30 schema:inLanguage en
31 schema:isAccessibleForFree true
32 schema:isPartOf Nc74f3e0a3e574b71acc72034e1b93397
33 Nf8b7c259236840848175fd4d0619761f
34 sg:journal.1028211
35 schema:name The impacts avoided with a 1.5 °C climate target: a global and regional assessment
36 schema:pagination 61-76
37 schema:productId N3c9256170e3b4d60a31d570a0af76b8e
38 N9baa554265d84b42be69d7e840216b1c
39 Nae386df54e344c0a8922f5ac6144c04d
40 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099699981
41 https://doi.org/10.1007/s10584-017-2115-9
42 schema:sdDatePublished 2019-04-10T14:23
43 schema:sdLicense https://scigraph.springernature.com/explorer/license/
44 schema:sdPublisher N3474cafbff2d4241ba78cb3ee92a3b0f
45 schema:url http://link.springer.com/10.1007/s10584-017-2115-9
46 sgo:license sg:explorer/license/
47 sgo:sdDataset articles
48 rdf:type schema:ScholarlyArticle
49 N2b9e960f65e34ccfa2767c2d8faaebff rdf:first sg:person.0743535320.29
50 rdf:rest N64c6945419d44a13a981933206dc5878
51 N3474cafbff2d4241ba78cb3ee92a3b0f schema:name Springer Nature - SN SciGraph project
52 rdf:type schema:Organization
53 N3c9256170e3b4d60a31d570a0af76b8e schema:name readcube_id
54 schema:value a560234bad62d97b977b866291bf46689615206088cb1ab1f096e7484ca706c9
55 rdf:type schema:PropertyValue
56 N64c6945419d44a13a981933206dc5878 rdf:first sg:person.011066117233.90
57 rdf:rest N82f3c06fcea943fca844d527f4f85f99
58 N82f3c06fcea943fca844d527f4f85f99 rdf:first sg:person.016330736535.32
59 rdf:rest N92ec28fd298744efa6b3b4ee0e61807d
60 N92ec28fd298744efa6b3b4ee0e61807d rdf:first sg:person.01137064640.48
61 rdf:rest rdf:nil
62 N9baa554265d84b42be69d7e840216b1c schema:name dimensions_id
63 schema:value pub.1099699981
64 rdf:type schema:PropertyValue
65 Nae386df54e344c0a8922f5ac6144c04d schema:name doi
66 schema:value 10.1007/s10584-017-2115-9
67 rdf:type schema:PropertyValue
68 Nc74f3e0a3e574b71acc72034e1b93397 schema:volumeNumber 147
69 rdf:type schema:PublicationVolume
70 Nf8b7c259236840848175fd4d0619761f schema:issueNumber 1-2
71 rdf:type schema:PublicationIssue
72 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
73 schema:name Engineering
74 rdf:type schema:DefinedTerm
75 anzsrc-for:0915 schema:inDefinedTermSet anzsrc-for:
76 schema:name Interdisciplinary Engineering
77 rdf:type schema:DefinedTerm
78 sg:journal.1028211 schema:issn 0165-0009
79 1573-1480
80 schema:name Climatic Change
81 rdf:type schema:Periodical
82 sg:person.011066117233.90 schema:affiliation https://www.grid.ac/institutes/grid.9909.9
83 schema:familyName Lowe
84 schema:givenName Jason A.
85 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011066117233.90
86 rdf:type schema:Person
87 sg:person.01137064640.48 schema:affiliation https://www.grid.ac/institutes/grid.8273.e
88 schema:familyName Osborn
89 schema:givenName Timothy J.
90 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01137064640.48
91 rdf:type schema:Person
92 sg:person.016330736535.32 schema:affiliation https://www.grid.ac/institutes/grid.9435.b
93 schema:familyName Lloyd-Hughes
94 schema:givenName Ben
95 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016330736535.32
96 rdf:type schema:Person
97 sg:person.0743535320.29 schema:affiliation https://www.grid.ac/institutes/grid.9435.b
98 schema:familyName Arnell
99 schema:givenName Nigel W.
100 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743535320.29
101 rdf:type schema:Person
102 sg:pub.10.1007/s10584-013-1032-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023842732
103 https://doi.org/10.1007/s10584-013-1032-9
104 rdf:type schema:CreativeWork
105 sg:pub.10.1007/s10584-013-1034-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009542838
106 https://doi.org/10.1007/s10584-013-1034-7
107 rdf:type schema:CreativeWork
108 sg:pub.10.1007/s10584-014-1084-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037733400
109 https://doi.org/10.1007/s10584-014-1084-5
110 rdf:type schema:CreativeWork
111 sg:pub.10.1007/s10584-015-1509-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036098000
112 https://doi.org/10.1007/s10584-015-1509-9
113 rdf:type schema:CreativeWork
114 sg:pub.10.1038/nclimate1887 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021684968
115 https://doi.org/10.1038/nclimate1887
116 rdf:type schema:CreativeWork
117 sg:pub.10.1038/nclimate1911 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024940405
118 https://doi.org/10.1038/nclimate1911
119 rdf:type schema:CreativeWork
120 sg:pub.10.1038/ngeo1047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049571320
121 https://doi.org/10.1038/ngeo1047
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1002/hyp.7727 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051418483
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1002/joc.3711 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038108572
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1002/wcc.457 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074197455
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1016/j.enpol.2008.09.051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009520846
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/j.gloenvcha.2016.05.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018615969
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/j.gloenvcha.2016.06.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027932240
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1029/2007gb002952 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037338284
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1029/2007gl032487 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032424757
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1029/2011jd017187 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020445093
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1073/pnas.1312330110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009879152
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1175/2009jcli2909.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044105013
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1175/2011jhm1324.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040584698
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1175/2011jhm1369.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045305881
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1175/bams-d-11-00094.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051805105
150 rdf:type schema:CreativeWork
151 https://doi.org/10.5194/esd-7-327-2016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072667353
152 rdf:type schema:CreativeWork
153 https://www.grid.ac/institutes/grid.8273.e schema:alternateName University of East Anglia
154 schema:name Climatic Research Unit, School of Environmental Sciences, University of East Anglia, Norwich, UK
155 rdf:type schema:Organization
156 https://www.grid.ac/institutes/grid.9435.b schema:alternateName University of Reading
157 schema:name Department of Meteorology and Walker Institute, University of Reading, Reading, UK
158 Institute for Environmental Analytics, University of Reading, Reading, UK
159 rdf:type schema:Organization
160 https://www.grid.ac/institutes/grid.9909.9 schema:alternateName University of Leeds
161 schema:name Met Office Hadley Centre, Exeter, UK
162 Priestley Centre, University of Leeds, Leeds, UK
163 rdf:type schema:Organization
 




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


...