Attribution analysis of high precipitation events in summer in England and Wales over the last decade View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-10-11

AUTHORS

Friederike E. L. Otto, Suzanne M. Rosier, Myles R. Allen, Neil R. Massey, Cameron J. Rye, Jara Imbers Quintana

ABSTRACT

The crucial question in the public debate of extreme events is increasingly whether and to what extent the event has been caused by anthropogenic warming. In this study we investigate this question using extreme summer precipitation events in England and Wales as an example for probabilistic event attribution using very large ensembles of regional climate model (RCM) simulations within the weather@home.net project. This allows us to analyse the statistics of high precipitation events in England and Wales, a region with a high quality precipitation observational dataset. Validating the model simulations against observations shows a credible shape of the distribution of 5-day precipitation, and thus confidence in the results. While the risk of extreme July precipitation events has at least doubled due to anthropogenic climate change in the modelling framework, no significant changes can be detected for the other two summer months. This study thus highlights the challenges of probabilistic event attribution of complex weather events and identifies the need to further decompose atmospheric features responsible for an event to occur for quantitative attribution analysis. More... »

PAGES

77-91

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10584-014-1095-2

DOI

http://dx.doi.org/10.1007/s10584-014-1095-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1045941146


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/2008/0401", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Atmospheric Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Environmental Change Institute, University of Oxford, South Parks Road, OX1 3QY, Oxford, UK", 
          "id": "http://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "Environmental Change Institute, University of Oxford, South Parks Road, OX1 3QY, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Otto", 
        "givenName": "Friederike E. L.", 
        "id": "sg:person.01326463237.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01326463237.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Water and Atmospheric Research Ltd., 301, Evans Bay Parade, 6021, Wellington, New Zealand", 
          "id": "http://www.grid.ac/institutes/grid.419676.b", 
          "name": [
            "National Institute of Water and Atmospheric Research Ltd., 301, Evans Bay Parade, 6021, Wellington, New Zealand"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rosier", 
        "givenName": "Suzanne M.", 
        "id": "sg:person.014431357471.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014431357471.62"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Atmospheric, Oceanic and Planetary Physics, University of Oxford, Parks Road, OX1 3PU, Oxford, UK", 
          "id": "http://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "Environmental Change Institute, University of Oxford,  Oxford University Centre for the Environment, South Parks Road, OX1 3QY, Oxford, UK", 
            "Atmospheric, Oceanic and Planetary Physics, University of Oxford, Parks Road, OX1 3PU, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Allen", 
        "givenName": "Myles R.", 
        "id": "sg:person.0600474550.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600474550.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Environmental Change Institute, University of Oxford,  Oxford University Centre for the Environment, South Parks Road, OX1 3QY, Oxford, UK", 
          "id": "http://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "Environmental Change Institute, University of Oxford,  Oxford University Centre for the Environment, South Parks Road, OX1 3QY, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Massey", 
        "givenName": "Neil R.", 
        "id": "sg:person.011202345633.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011202345633.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Atmospheric, Oceanic and Planetary Physics, University of Oxford, Parks Road, OX1 3PU, Oxford, UK", 
          "id": "http://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "Atmospheric, Oceanic and Planetary Physics, University of Oxford, Parks Road, OX1 3PU, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rye", 
        "givenName": "Cameron J.", 
        "id": "sg:person.014406641445.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014406641445.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Atmospheric, Oceanic and Planetary Physics, University of Oxford, Parks Road, OX1 3PU, Oxford, UK", 
          "id": "http://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "Atmospheric, Oceanic and Planetary Physics, University of Oxford, Parks Road, OX1 3PU, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Quintana", 
        "givenName": "Jara Imbers", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s003820050009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002170907", 
          "https://doi.org/10.1007/s003820050009"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature09762", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043530920", 
          "https://doi.org/10.1038/nature09762"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/421891a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003018692", 
          "https://doi.org/10.1038/421891a"
        ], 
        "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.10.1038/44266", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034790274", 
          "https://doi.org/10.1038/44266"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10687-010-0101-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006111591", 
          "https://doi.org/10.1007/s10687-010-0101-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ngeo1595", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028968717", 
          "https://doi.org/10.1038/ngeo1595"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nclimate1452", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024182830", 
          "https://doi.org/10.1038/nclimate1452"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03089", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028450143", 
          "https://doi.org/10.1038/nature03089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-010-0810-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001203373", 
          "https://doi.org/10.1007/s00382-010-0810-6"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-10-11", 
    "datePublishedReg": "2014-10-11", 
    "description": "The crucial question in the public debate of extreme events is increasingly whether and to what extent the event has been caused by anthropogenic warming. In this study we investigate this question using extreme summer precipitation events in England and Wales as an example for probabilistic event attribution using very large ensembles of regional climate model (RCM) simulations within the weather@home.net project. This allows us to analyse the statistics of high precipitation events in England and Wales, a region with a high quality precipitation observational dataset. Validating the model simulations against observations shows a credible shape of the distribution of 5-day precipitation, and thus confidence in the results. While the risk of extreme July precipitation events has at least doubled due to anthropogenic climate change in the modelling framework, no significant changes can be detected for the other two summer months. This study thus highlights the challenges of probabilistic event attribution of complex weather events and identifies the need to further decompose atmospheric features responsible for an event to occur for quantitative attribution analysis.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s10584-014-1095-2", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2753871", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2753310", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2756876", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1028211", 
        "issn": [
          "0165-0009", 
          "1573-1480"
        ], 
        "name": "Climatic Change", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "132"
      }
    ], 
    "keywords": [
      "high precipitation events", 
      "probabilistic event attribution", 
      "precipitation events", 
      "event attribution", 
      "model simulations", 
      "attribution analysis", 
      "regional climate model simulations", 
      "extreme summer precipitation events", 
      "climate model simulations", 
      "quantitative attribution analysis", 
      "summer precipitation events", 
      "anthropogenic climate change", 
      "anthropogenic warming", 
      "observational datasets", 
      "extreme events", 
      "atmospheric features", 
      "weather events", 
      "climate change", 
      "large ensemble", 
      "summer months", 
      "modelling framework", 
      "events", 
      "Wales", 
      "warming", 
      "precipitation", 
      "summer", 
      "England", 
      "ensemble", 
      "changes", 
      "attribution", 
      "last decade", 
      "region", 
      "simulations", 
      "significant changes", 
      "datasets", 
      "distribution", 
      "extent", 
      "decades", 
      "features", 
      "analysis", 
      "project", 
      "crucial question", 
      "confidence", 
      "study", 
      "example", 
      "statistics", 
      "shape", 
      "results", 
      "framework", 
      "debate", 
      "questions", 
      "months", 
      "identifies", 
      "need", 
      "challenges", 
      "risk", 
      "public debate", 
      "observations", 
      "high quality precipitation observational dataset", 
      "quality precipitation observational dataset", 
      "precipitation observational dataset", 
      "credible shape", 
      "extreme July precipitation events", 
      "July precipitation events", 
      "complex weather events"
    ], 
    "name": "Attribution analysis of high precipitation events in summer in England and Wales over the last decade", 
    "pagination": "77-91", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1045941146"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10584-014-1095-2"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10584-014-1095-2", 
      "https://app.dimensions.ai/details/publication/pub.1045941146"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-12-01T19:31", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_640.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s10584-014-1095-2"
  }
]
 

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/s10584-014-1095-2'

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/s10584-014-1095-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10584-014-1095-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10584-014-1095-2'


 

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

210 TRIPLES      22 PREDICATES      100 URIs      82 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10584-014-1095-2 schema:about anzsrc-for:04
2 anzsrc-for:0401
3 schema:author N400606aaaede4393bed73a8ac153a65b
4 schema:citation sg:pub.10.1007/s00382-010-0810-6
5 sg:pub.10.1007/s003820050009
6 sg:pub.10.1007/s003820050010
7 sg:pub.10.1007/s10687-010-0101-y
8 sg:pub.10.1038/421891a
9 sg:pub.10.1038/44266
10 sg:pub.10.1038/nature03089
11 sg:pub.10.1038/nature09762
12 sg:pub.10.1038/nclimate1452
13 sg:pub.10.1038/ngeo1595
14 schema:datePublished 2014-10-11
15 schema:datePublishedReg 2014-10-11
16 schema:description The crucial question in the public debate of extreme events is increasingly whether and to what extent the event has been caused by anthropogenic warming. In this study we investigate this question using extreme summer precipitation events in England and Wales as an example for probabilistic event attribution using very large ensembles of regional climate model (RCM) simulations within the weather@home.net project. This allows us to analyse the statistics of high precipitation events in England and Wales, a region with a high quality precipitation observational dataset. Validating the model simulations against observations shows a credible shape of the distribution of 5-day precipitation, and thus confidence in the results. While the risk of extreme July precipitation events has at least doubled due to anthropogenic climate change in the modelling framework, no significant changes can be detected for the other two summer months. This study thus highlights the challenges of probabilistic event attribution of complex weather events and identifies the need to further decompose atmospheric features responsible for an event to occur for quantitative attribution analysis.
17 schema:genre article
18 schema:inLanguage en
19 schema:isAccessibleForFree true
20 schema:isPartOf N2bc3d2b373cd4a88a7c12c35f9d9510d
21 Nb8a30c27dfb843bf90652ebff5f0c4ae
22 sg:journal.1028211
23 schema:keywords England
24 July precipitation events
25 Wales
26 analysis
27 anthropogenic climate change
28 anthropogenic warming
29 atmospheric features
30 attribution
31 attribution analysis
32 challenges
33 changes
34 climate change
35 climate model simulations
36 complex weather events
37 confidence
38 credible shape
39 crucial question
40 datasets
41 debate
42 decades
43 distribution
44 ensemble
45 event attribution
46 events
47 example
48 extent
49 extreme July precipitation events
50 extreme events
51 extreme summer precipitation events
52 features
53 framework
54 high precipitation events
55 high quality precipitation observational dataset
56 identifies
57 large ensemble
58 last decade
59 model simulations
60 modelling framework
61 months
62 need
63 observational datasets
64 observations
65 precipitation
66 precipitation events
67 precipitation observational dataset
68 probabilistic event attribution
69 project
70 public debate
71 quality precipitation observational dataset
72 quantitative attribution analysis
73 questions
74 region
75 regional climate model simulations
76 results
77 risk
78 shape
79 significant changes
80 simulations
81 statistics
82 study
83 summer
84 summer months
85 summer precipitation events
86 warming
87 weather events
88 schema:name Attribution analysis of high precipitation events in summer in England and Wales over the last decade
89 schema:pagination 77-91
90 schema:productId N36f089e7708945619ff9a2af3919a5af
91 Nd48fbc0ab2cc4dd38506a99d0acd369b
92 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045941146
93 https://doi.org/10.1007/s10584-014-1095-2
94 schema:sdDatePublished 2021-12-01T19:31
95 schema:sdLicense https://scigraph.springernature.com/explorer/license/
96 schema:sdPublisher N048fd79940824e04a20aea0ff1ece6ba
97 schema:url https://doi.org/10.1007/s10584-014-1095-2
98 sgo:license sg:explorer/license/
99 sgo:sdDataset articles
100 rdf:type schema:ScholarlyArticle
101 N048fd79940824e04a20aea0ff1ece6ba schema:name Springer Nature - SN SciGraph project
102 rdf:type schema:Organization
103 N0a2c9111a33b41b7a20af775b9b9831d rdf:first N39fce27ce2e24f129474df4ceb4e2779
104 rdf:rest rdf:nil
105 N2bc3d2b373cd4a88a7c12c35f9d9510d schema:volumeNumber 132
106 rdf:type schema:PublicationVolume
107 N3393a5ad44734767bed7b296f86e69c0 rdf:first sg:person.014431357471.62
108 rdf:rest N53f07736c6224a94ac9ba3af77cc3ea7
109 N36f089e7708945619ff9a2af3919a5af schema:name doi
110 schema:value 10.1007/s10584-014-1095-2
111 rdf:type schema:PropertyValue
112 N39fce27ce2e24f129474df4ceb4e2779 schema:affiliation grid-institutes:grid.4991.5
113 schema:familyName Quintana
114 schema:givenName Jara Imbers
115 rdf:type schema:Person
116 N400606aaaede4393bed73a8ac153a65b rdf:first sg:person.01326463237.80
117 rdf:rest N3393a5ad44734767bed7b296f86e69c0
118 N53f07736c6224a94ac9ba3af77cc3ea7 rdf:first sg:person.0600474550.17
119 rdf:rest Ncd615cebb18744b5ab43e98875c2b80b
120 Nb89254334b774d4b953d35edd73aea37 rdf:first sg:person.014406641445.00
121 rdf:rest N0a2c9111a33b41b7a20af775b9b9831d
122 Nb8a30c27dfb843bf90652ebff5f0c4ae schema:issueNumber 1
123 rdf:type schema:PublicationIssue
124 Ncd615cebb18744b5ab43e98875c2b80b rdf:first sg:person.011202345633.67
125 rdf:rest Nb89254334b774d4b953d35edd73aea37
126 Nd48fbc0ab2cc4dd38506a99d0acd369b schema:name dimensions_id
127 schema:value pub.1045941146
128 rdf:type schema:PropertyValue
129 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
130 schema:name Earth Sciences
131 rdf:type schema:DefinedTerm
132 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
133 schema:name Atmospheric Sciences
134 rdf:type schema:DefinedTerm
135 sg:grant.2753310 http://pending.schema.org/fundedItem sg:pub.10.1007/s10584-014-1095-2
136 rdf:type schema:MonetaryGrant
137 sg:grant.2753871 http://pending.schema.org/fundedItem sg:pub.10.1007/s10584-014-1095-2
138 rdf:type schema:MonetaryGrant
139 sg:grant.2756876 http://pending.schema.org/fundedItem sg:pub.10.1007/s10584-014-1095-2
140 rdf:type schema:MonetaryGrant
141 sg:journal.1028211 schema:issn 0165-0009
142 1573-1480
143 schema:name Climatic Change
144 schema:publisher Springer Nature
145 rdf:type schema:Periodical
146 sg:person.011202345633.67 schema:affiliation grid-institutes:grid.4991.5
147 schema:familyName Massey
148 schema:givenName Neil R.
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011202345633.67
150 rdf:type schema:Person
151 sg:person.01326463237.80 schema:affiliation grid-institutes:grid.4991.5
152 schema:familyName Otto
153 schema:givenName Friederike E. L.
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01326463237.80
155 rdf:type schema:Person
156 sg:person.014406641445.00 schema:affiliation grid-institutes:grid.4991.5
157 schema:familyName Rye
158 schema:givenName Cameron J.
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014406641445.00
160 rdf:type schema:Person
161 sg:person.014431357471.62 schema:affiliation grid-institutes:grid.419676.b
162 schema:familyName Rosier
163 schema:givenName Suzanne M.
164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014431357471.62
165 rdf:type schema:Person
166 sg:person.0600474550.17 schema:affiliation grid-institutes:grid.4991.5
167 schema:familyName Allen
168 schema:givenName Myles R.
169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600474550.17
170 rdf:type schema:Person
171 sg:pub.10.1007/s00382-010-0810-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001203373
172 https://doi.org/10.1007/s00382-010-0810-6
173 rdf:type schema:CreativeWork
174 sg:pub.10.1007/s003820050009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002170907
175 https://doi.org/10.1007/s003820050009
176 rdf:type schema:CreativeWork
177 sg:pub.10.1007/s003820050010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015242699
178 https://doi.org/10.1007/s003820050010
179 rdf:type schema:CreativeWork
180 sg:pub.10.1007/s10687-010-0101-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1006111591
181 https://doi.org/10.1007/s10687-010-0101-y
182 rdf:type schema:CreativeWork
183 sg:pub.10.1038/421891a schema:sameAs https://app.dimensions.ai/details/publication/pub.1003018692
184 https://doi.org/10.1038/421891a
185 rdf:type schema:CreativeWork
186 sg:pub.10.1038/44266 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034790274
187 https://doi.org/10.1038/44266
188 rdf:type schema:CreativeWork
189 sg:pub.10.1038/nature03089 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028450143
190 https://doi.org/10.1038/nature03089
191 rdf:type schema:CreativeWork
192 sg:pub.10.1038/nature09762 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043530920
193 https://doi.org/10.1038/nature09762
194 rdf:type schema:CreativeWork
195 sg:pub.10.1038/nclimate1452 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024182830
196 https://doi.org/10.1038/nclimate1452
197 rdf:type schema:CreativeWork
198 sg:pub.10.1038/ngeo1595 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028968717
199 https://doi.org/10.1038/ngeo1595
200 rdf:type schema:CreativeWork
201 grid-institutes:grid.419676.b schema:alternateName National Institute of Water and Atmospheric Research Ltd., 301, Evans Bay Parade, 6021, Wellington, New Zealand
202 schema:name National Institute of Water and Atmospheric Research Ltd., 301, Evans Bay Parade, 6021, Wellington, New Zealand
203 rdf:type schema:Organization
204 grid-institutes:grid.4991.5 schema:alternateName Atmospheric, Oceanic and Planetary Physics, University of Oxford, Parks Road, OX1 3PU, Oxford, UK
205 Environmental Change Institute, University of Oxford, Oxford University Centre for the Environment, South Parks Road, OX1 3QY, Oxford, UK
206 Environmental Change Institute, University of Oxford, South Parks Road, OX1 3QY, Oxford, UK
207 schema:name Atmospheric, Oceanic and Planetary Physics, University of Oxford, Parks Road, OX1 3PU, Oxford, UK
208 Environmental Change Institute, University of Oxford, Oxford University Centre for the Environment, South Parks Road, OX1 3QY, Oxford, UK
209 Environmental Change Institute, University of Oxford, South Parks Road, OX1 3QY, Oxford, UK
210 rdf:type schema:Organization
 




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


...