A regional and global analysis of carbon dioxide physiological forcing and its impact on climate View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-02-06

AUTHORS

Timothy Andrews, Marie Doutriaux-Boucher, Olivier Boucher, Piers M. Forster

ABSTRACT

An increase in atmospheric carbon dioxide concentration has both a radiative (greenhouse) effect and a physiological effect on climate. The physiological effect forces climate as plant stomata do not open as wide under enhanced CO2 levels and this alters the surface energy balance by reducing the evapotranspiration flux to the atmosphere, a process referred to as ‘carbon dioxide physiological forcing’. Here the climate impact of the carbon dioxide physiological forcing is isolated using an ensemble of twelve 5-year experiments with the Met Office Hadley Centre HadCM3LC fully coupled atmosphere–ocean model where atmospheric carbon dioxide levels are instantaneously quadrupled and thereafter held constant. Fast responses (within a few months) to carbon dioxide physiological forcing are analyzed at a global and regional scale. Results show a strong influence of the physiological forcing on the land surface energy budget, hydrological cycle and near surface climate. For example, global precipitation rate reduces by ~3% with significant decreases over most land-regions, mainly from reductions to convective rainfall. This fast hydrological response is still evident after 5 years of model integration. Decreased evapotranspiration over land also leads to land surface warming and a drying of near surface air, both of which lead to significant reductions in near surface relative humidity (~6%) and cloud fraction (~3%). Patterns of fast responses consistently show that results are largest in the Amazon and central African forest, and to a lesser extent in the boreal and temperate forest. Carbon dioxide physiological forcing could be a source of uncertainty in many model predicted quantities, such as climate sensitivity, transient climate response and the hydrological sensitivity. These results highlight the importance of including biological components of the Earth system in climate change studies. More... »

PAGES

783-792

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00382-010-0742-1

DOI

http://dx.doi.org/10.1007/s00382-010-0742-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1048489400


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"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0405", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oceanography", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, LS2 9JT, Leeds, UK", 
          "id": "http://www.grid.ac/institutes/grid.9909.9", 
          "name": [
            "Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, LS2 9JT, Leeds, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Andrews", 
        "givenName": "Timothy", 
        "id": "sg:person.016440513017.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016440513017.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Met Office Hadley Centre, Exeter, UK", 
          "id": "http://www.grid.ac/institutes/grid.17100.37", 
          "name": [
            "Met Office Hadley Centre, Exeter, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Doutriaux-Boucher", 
        "givenName": "Marie", 
        "id": "sg:person.013005142355.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013005142355.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Met Office Hadley Centre, Exeter, UK", 
          "id": "http://www.grid.ac/institutes/grid.17100.37", 
          "name": [
            "Met Office Hadley Centre, Exeter, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Boucher", 
        "givenName": "Olivier", 
        "id": "sg:person.01301253676.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01301253676.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, LS2 9JT, Leeds, UK", 
          "id": "http://www.grid.ac/institutes/grid.9909.9", 
          "name": [
            "Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, LS2 9JT, Leeds, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Forster", 
        "givenName": "Piers M.", 
        "id": "sg:person.01064461110.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01064461110.15"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00382-008-0459-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033419554", 
          "https://doi.org/10.1007/s00382-008-0459-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-007-0306-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002755636", 
          "https://doi.org/10.1007/s00382-007-0306-1"
        ], 
        "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/nature01092", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046916950", 
          "https://doi.org/10.1038/nature01092"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-009-0583-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010497001", 
          "https://doi.org/10.1007/s00382-009-0583-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature06045", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044599907", 
          "https://doi.org/10.1038/nature06045"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04504", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021061618", 
          "https://doi.org/10.1038/nature04504"
        ], 
        "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"
      }
    ], 
    "datePublished": "2010-02-06", 
    "datePublishedReg": "2010-02-06", 
    "description": "An increase in atmospheric carbon dioxide concentration has both a radiative (greenhouse) effect and a physiological effect on climate. The physiological effect forces climate as plant stomata do not open as wide under enhanced CO2 levels and this alters the surface energy balance by reducing the evapotranspiration flux to the atmosphere, a process referred to as \u2018carbon dioxide physiological forcing\u2019. Here the climate impact of the carbon dioxide physiological forcing is isolated using an ensemble of twelve 5-year experiments with the Met Office Hadley Centre HadCM3LC fully coupled atmosphere\u2013ocean model where atmospheric carbon dioxide levels are instantaneously quadrupled and thereafter held constant. Fast responses (within a few months) to carbon dioxide physiological forcing are analyzed at a global and regional scale. Results show a strong influence of the physiological forcing on the land surface energy budget, hydrological cycle and near surface climate. For example, global precipitation rate reduces by ~3% with significant decreases over most land-regions, mainly from reductions to convective rainfall. This fast hydrological response is still evident after 5\u00a0years of model integration. Decreased evapotranspiration over land also leads to land surface warming and a drying of near surface air, both of which lead to significant reductions in near surface relative humidity (~6%) and cloud fraction (~3%). Patterns of fast responses consistently show that results are largest in the Amazon and central African forest, and to a lesser extent in the boreal and temperate forest. Carbon dioxide physiological forcing could be a source of uncertainty in many model predicted quantities, such as climate sensitivity, transient climate response and the hydrological sensitivity. These results highlight the importance of including biological components of the Earth system in climate change studies.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00382-010-0742-1", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2766814", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2783108", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.7037241", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1049631", 
        "issn": [
          "0930-7575", 
          "1432-0894"
        ], 
        "name": "Climate Dynamics", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3-4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "36"
      }
    ], 
    "keywords": [
      "physiological forcing", 
      "land surface energy budget", 
      "atmospheric carbon dioxide levels", 
      "atmosphere-ocean model", 
      "atmospheric carbon dioxide concentration", 
      "land surface warming", 
      "transient climate response", 
      "fast hydrological response", 
      "near-surface air", 
      "surface energy budget", 
      "enhanced CO2 levels", 
      "surface relative humidity", 
      "global precipitation rate", 
      "surface energy balance", 
      "climate change studies", 
      "carbon dioxide concentration", 
      "surface climate", 
      "convective rainfall", 
      "surface warming", 
      "hydrological sensitivity", 
      "hydrological response", 
      "hydrological cycle", 
      "climate response", 
      "climate sensitivity", 
      "evapotranspiration fluxes", 
      "cloud fraction", 
      "surface air", 
      "Earth system", 
      "radiative effects", 
      "precipitation rate", 
      "climate impacts", 
      "change studies", 
      "regional scale", 
      "forcing", 
      "sources of uncertainty", 
      "carbon dioxide levels", 
      "plant stomata", 
      "model integration", 
      "energy budget", 
      "Central African forests", 
      "CO2 levels", 
      "climate", 
      "dioxide concentration", 
      "relative humidity", 
      "carbon dioxide", 
      "strong influence", 
      "energy balance", 
      "biological components", 
      "HadCM3LC", 
      "global analysis", 
      "temperate forests", 
      "rainfall", 
      "evapotranspiration", 
      "warming", 
      "African forests", 
      "boreal", 
      "forest", 
      "atmosphere", 
      "budget", 
      "effect force", 
      "flux", 
      "land", 
      "humidity", 
      "lesser extent", 
      "Amazon", 
      "ensemble", 
      "uncertainty", 
      "impact", 
      "source", 
      "dioxide", 
      "scale", 
      "cycle", 
      "model", 
      "balance", 
      "air", 
      "patterns", 
      "concentration", 
      "drying", 
      "extent", 
      "fraction", 
      "quantity", 
      "results", 
      "influence", 
      "response", 
      "process", 
      "years", 
      "decrease", 
      "components", 
      "importance", 
      "increase", 
      "sensitivity", 
      "fast response", 
      "levels", 
      "example", 
      "analysis", 
      "reduction", 
      "rate", 
      "experiments", 
      "system", 
      "effect", 
      "study", 
      "significant decrease", 
      "integration", 
      "alters", 
      "force", 
      "significant reduction", 
      "stomata", 
      "physiological effects"
    ], 
    "name": "A regional and global analysis of carbon dioxide physiological forcing and its impact on climate", 
    "pagination": "783-792", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1048489400"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00382-010-0742-1"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00382-010-0742-1", 
      "https://app.dimensions.ai/details/publication/pub.1048489400"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-10T10:03", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/article/article_510.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00382-010-0742-1"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00382-010-0742-1'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00382-010-0742-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00382-010-0742-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00382-010-0742-1'


 

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

232 TRIPLES      22 PREDICATES      142 URIs      125 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00382-010-0742-1 schema:about anzsrc-for:04
2 anzsrc-for:0401
3 anzsrc-for:0405
4 schema:author N70fd8b4b78e84525b035e3b2230df549
5 schema:citation sg:pub.10.1007/s00382-007-0306-1
6 sg:pub.10.1007/s00382-008-0459-6
7 sg:pub.10.1007/s00382-009-0583-y
8 sg:pub.10.1007/s003820050276
9 sg:pub.10.1038/42924
10 sg:pub.10.1038/nature01092
11 sg:pub.10.1038/nature04504
12 sg:pub.10.1038/nature06045
13 schema:datePublished 2010-02-06
14 schema:datePublishedReg 2010-02-06
15 schema:description An increase in atmospheric carbon dioxide concentration has both a radiative (greenhouse) effect and a physiological effect on climate. The physiological effect forces climate as plant stomata do not open as wide under enhanced CO2 levels and this alters the surface energy balance by reducing the evapotranspiration flux to the atmosphere, a process referred to as ‘carbon dioxide physiological forcing’. Here the climate impact of the carbon dioxide physiological forcing is isolated using an ensemble of twelve 5-year experiments with the Met Office Hadley Centre HadCM3LC fully coupled atmosphere–ocean model where atmospheric carbon dioxide levels are instantaneously quadrupled and thereafter held constant. Fast responses (within a few months) to carbon dioxide physiological forcing are analyzed at a global and regional scale. Results show a strong influence of the physiological forcing on the land surface energy budget, hydrological cycle and near surface climate. For example, global precipitation rate reduces by ~3% with significant decreases over most land-regions, mainly from reductions to convective rainfall. This fast hydrological response is still evident after 5 years of model integration. Decreased evapotranspiration over land also leads to land surface warming and a drying of near surface air, both of which lead to significant reductions in near surface relative humidity (~6%) and cloud fraction (~3%). Patterns of fast responses consistently show that results are largest in the Amazon and central African forest, and to a lesser extent in the boreal and temperate forest. Carbon dioxide physiological forcing could be a source of uncertainty in many model predicted quantities, such as climate sensitivity, transient climate response and the hydrological sensitivity. These results highlight the importance of including biological components of the Earth system in climate change studies.
16 schema:genre article
17 schema:inLanguage en
18 schema:isAccessibleForFree false
19 schema:isPartOf N1e81f4df51b441f8b89f509b5e398b4d
20 N30a7ee5c0251467b80002e474b789d8e
21 sg:journal.1049631
22 schema:keywords African forests
23 Amazon
24 CO2 levels
25 Central African forests
26 Earth system
27 HadCM3LC
28 air
29 alters
30 analysis
31 atmosphere
32 atmosphere-ocean model
33 atmospheric carbon dioxide concentration
34 atmospheric carbon dioxide levels
35 balance
36 biological components
37 boreal
38 budget
39 carbon dioxide
40 carbon dioxide concentration
41 carbon dioxide levels
42 change studies
43 climate
44 climate change studies
45 climate impacts
46 climate response
47 climate sensitivity
48 cloud fraction
49 components
50 concentration
51 convective rainfall
52 cycle
53 decrease
54 dioxide
55 dioxide concentration
56 drying
57 effect
58 effect force
59 energy balance
60 energy budget
61 enhanced CO2 levels
62 ensemble
63 evapotranspiration
64 evapotranspiration fluxes
65 example
66 experiments
67 extent
68 fast hydrological response
69 fast response
70 flux
71 force
72 forcing
73 forest
74 fraction
75 global analysis
76 global precipitation rate
77 humidity
78 hydrological cycle
79 hydrological response
80 hydrological sensitivity
81 impact
82 importance
83 increase
84 influence
85 integration
86 land
87 land surface energy budget
88 land surface warming
89 lesser extent
90 levels
91 model
92 model integration
93 near-surface air
94 patterns
95 physiological effects
96 physiological forcing
97 plant stomata
98 precipitation rate
99 process
100 quantity
101 radiative effects
102 rainfall
103 rate
104 reduction
105 regional scale
106 relative humidity
107 response
108 results
109 scale
110 sensitivity
111 significant decrease
112 significant reduction
113 source
114 sources of uncertainty
115 stomata
116 strong influence
117 study
118 surface air
119 surface climate
120 surface energy balance
121 surface energy budget
122 surface relative humidity
123 surface warming
124 system
125 temperate forests
126 transient climate response
127 uncertainty
128 warming
129 years
130 schema:name A regional and global analysis of carbon dioxide physiological forcing and its impact on climate
131 schema:pagination 783-792
132 schema:productId N515549bfdc4848709cb0ee87c1b868ab
133 Ndf96e6d6bdbe47a2be02a3cc1c2f5f3b
134 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048489400
135 https://doi.org/10.1007/s00382-010-0742-1
136 schema:sdDatePublished 2022-05-10T10:03
137 schema:sdLicense https://scigraph.springernature.com/explorer/license/
138 schema:sdPublisher N5aa05fec92b14507bfc5f7bf6df55e92
139 schema:url https://doi.org/10.1007/s00382-010-0742-1
140 sgo:license sg:explorer/license/
141 sgo:sdDataset articles
142 rdf:type schema:ScholarlyArticle
143 N0c308dc060d049f1b5ae365b9fad6841 rdf:first sg:person.01301253676.11
144 rdf:rest N7d1fc16f8d844c49b915f5cf183b9074
145 N1e81f4df51b441f8b89f509b5e398b4d schema:volumeNumber 36
146 rdf:type schema:PublicationVolume
147 N30a7ee5c0251467b80002e474b789d8e schema:issueNumber 3-4
148 rdf:type schema:PublicationIssue
149 N515549bfdc4848709cb0ee87c1b868ab schema:name dimensions_id
150 schema:value pub.1048489400
151 rdf:type schema:PropertyValue
152 N5aa05fec92b14507bfc5f7bf6df55e92 schema:name Springer Nature - SN SciGraph project
153 rdf:type schema:Organization
154 N70fd8b4b78e84525b035e3b2230df549 rdf:first sg:person.016440513017.22
155 rdf:rest Ncfb7b1060d094ac7ac98399f711e7a9b
156 N7d1fc16f8d844c49b915f5cf183b9074 rdf:first sg:person.01064461110.15
157 rdf:rest rdf:nil
158 Ncfb7b1060d094ac7ac98399f711e7a9b rdf:first sg:person.013005142355.41
159 rdf:rest N0c308dc060d049f1b5ae365b9fad6841
160 Ndf96e6d6bdbe47a2be02a3cc1c2f5f3b schema:name doi
161 schema:value 10.1007/s00382-010-0742-1
162 rdf:type schema:PropertyValue
163 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
164 schema:name Earth Sciences
165 rdf:type schema:DefinedTerm
166 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
167 schema:name Atmospheric Sciences
168 rdf:type schema:DefinedTerm
169 anzsrc-for:0405 schema:inDefinedTermSet anzsrc-for:
170 schema:name Oceanography
171 rdf:type schema:DefinedTerm
172 sg:grant.2766814 http://pending.schema.org/fundedItem sg:pub.10.1007/s00382-010-0742-1
173 rdf:type schema:MonetaryGrant
174 sg:grant.2783108 http://pending.schema.org/fundedItem sg:pub.10.1007/s00382-010-0742-1
175 rdf:type schema:MonetaryGrant
176 sg:grant.7037241 http://pending.schema.org/fundedItem sg:pub.10.1007/s00382-010-0742-1
177 rdf:type schema:MonetaryGrant
178 sg:journal.1049631 schema:issn 0930-7575
179 1432-0894
180 schema:name Climate Dynamics
181 schema:publisher Springer Nature
182 rdf:type schema:Periodical
183 sg:person.01064461110.15 schema:affiliation grid-institutes:grid.9909.9
184 schema:familyName Forster
185 schema:givenName Piers M.
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01064461110.15
187 rdf:type schema:Person
188 sg:person.013005142355.41 schema:affiliation grid-institutes:grid.17100.37
189 schema:familyName Doutriaux-Boucher
190 schema:givenName Marie
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013005142355.41
192 rdf:type schema:Person
193 sg:person.01301253676.11 schema:affiliation grid-institutes:grid.17100.37
194 schema:familyName Boucher
195 schema:givenName Olivier
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01301253676.11
197 rdf:type schema:Person
198 sg:person.016440513017.22 schema:affiliation grid-institutes:grid.9909.9
199 schema:familyName Andrews
200 schema:givenName Timothy
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016440513017.22
202 rdf:type schema:Person
203 sg:pub.10.1007/s00382-007-0306-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002755636
204 https://doi.org/10.1007/s00382-007-0306-1
205 rdf:type schema:CreativeWork
206 sg:pub.10.1007/s00382-008-0459-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033419554
207 https://doi.org/10.1007/s00382-008-0459-6
208 rdf:type schema:CreativeWork
209 sg:pub.10.1007/s00382-009-0583-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1010497001
210 https://doi.org/10.1007/s00382-009-0583-y
211 rdf:type schema:CreativeWork
212 sg:pub.10.1007/s003820050276 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018345935
213 https://doi.org/10.1007/s003820050276
214 rdf:type schema:CreativeWork
215 sg:pub.10.1038/42924 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007351501
216 https://doi.org/10.1038/42924
217 rdf:type schema:CreativeWork
218 sg:pub.10.1038/nature01092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046916950
219 https://doi.org/10.1038/nature01092
220 rdf:type schema:CreativeWork
221 sg:pub.10.1038/nature04504 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021061618
222 https://doi.org/10.1038/nature04504
223 rdf:type schema:CreativeWork
224 sg:pub.10.1038/nature06045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044599907
225 https://doi.org/10.1038/nature06045
226 rdf:type schema:CreativeWork
227 grid-institutes:grid.17100.37 schema:alternateName Met Office Hadley Centre, Exeter, UK
228 schema:name Met Office Hadley Centre, Exeter, UK
229 rdf:type schema:Organization
230 grid-institutes:grid.9909.9 schema:alternateName Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, LS2 9JT, Leeds, UK
231 schema:name Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, LS2 9JT, Leeds, UK
232 rdf:type schema:Organization
 




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


...