Assessing mid-latitude dynamics in extreme event attribution systems View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-08-23

AUTHORS

Daniel Mitchell, Paolo Davini, Ben Harvey, Neil Massey, Karsten Haustein, Tim Woollings, Richard Jones, Fredi Otto, Benoit Guillod, Sarah Sparrow, David Wallom, Myles Allen

ABSTRACT

Atmospheric modes of variability relevant for extreme temperature and precipitation events are evaluated in models currently being used for extreme event attribution. A 100 member initial condition ensemble of the global circulation model HadAM3P is compared with both the multi-model ensemble from the Coupled Model Inter-comparison Project, Phase 5 (CMIP5) and the CMIP5 atmosphere-only counterparts (AMIP5). The use of HadAM3P allows for huge ensembles to be computed relatively fast, thereby providing unique insights into the dynamics of extremes. The analysis focuses on mid Northern Latitudes (primarily Europe) during winter, and is compared with ERA-Interim reanalysis. The tri-modal Atlantic eddy-driven jet distribution is remarkably well captured in HadAM3P, but not so in the CMIP5 or AMIP5 multi-model mean, although individual models fare better. The well known underestimation of blocking in the Atlantic region is apparent in CMIP5 and AMIP5, and also, to a lesser extent, in HadAM3P. Pacific blocking features are well produced in all modeling initiatives. Blocking duration is biased towards models reproducing too many short-lived events in all three modelling systems. Associated storm tracks are too zonal over the Atlantic in the CMIP5 and AMIP5 ensembles, but better simulated in HadAM3P with the exception of being too weak over Western Europe. In all cases, the CMIP5 and AMIP5 performances were almost identical, suggesting that the biases in atmospheric modes considered here are not strongly coupled to SSTs, and perhaps other model characteristics such as resolution are more important. For event attribution studies, it is recommended that rather than taking statistics over the entire CMIP5 or AMIP5 available models, only models capable of producing the relevant dynamical phenomena be employed. More... »

PAGES

3889-3901

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00382-016-3308-z

DOI

http://dx.doi.org/10.1007/s00382-016-3308-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1032152637


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, Oxford University, Oxford, UK", 
          "id": "http://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "Environmental Change Institute, Oxford University, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mitchell", 
        "givenName": "Daniel", 
        "id": "sg:person.011661003563.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011661003563.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Laboratoire de M\u00e9t\u00e9orologie Dynamique/IPSL, Ecole Normale Sup\u00e9rieure, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.5607.4", 
          "name": [
            "Laboratoire de M\u00e9t\u00e9orologie Dynamique/IPSL, Ecole Normale Sup\u00e9rieure, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Davini", 
        "givenName": "Paolo", 
        "id": "sg:person.010204235423.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010204235423.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "NCAS, Department of Meteorology, University of Reading, Reading, UK", 
          "id": "http://www.grid.ac/institutes/grid.9435.b", 
          "name": [
            "NCAS, Department of Meteorology, University of Reading, Reading, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Harvey", 
        "givenName": "Ben", 
        "id": "sg:person.012276303361.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012276303361.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Environmental Change Institute, Oxford University, Oxford, UK", 
          "id": "http://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "Environmental Change Institute, Oxford University, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Massey", 
        "givenName": "Neil", 
        "id": "sg:person.011202345633.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011202345633.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Environmental Change Institute, Oxford University, Oxford, UK", 
          "id": "http://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "Environmental Change Institute, Oxford University, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Haustein", 
        "givenName": "Karsten", 
        "id": "sg:person.07702737007.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07702737007.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "AOPP, Oxford University, Oxford, UK", 
          "id": "http://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "AOPP, Oxford University, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Woollings", 
        "givenName": "Tim", 
        "id": "sg:person.011743346331.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011743346331.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Environmental Change Institute, Oxford University, Oxford, UK", 
          "id": "http://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "Met Office Hadley Centre, Exeter, UK", 
            "Environmental Change Institute, Oxford University, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jones", 
        "givenName": "Richard", 
        "id": "sg:person.013447737257.93", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013447737257.93"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Environmental Change Institute, Oxford University, Oxford, UK", 
          "id": "http://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "Environmental Change Institute, Oxford University, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Otto", 
        "givenName": "Fredi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Environmental Change Institute, Oxford University, Oxford, UK", 
          "id": "http://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "Environmental Change Institute, Oxford University, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guillod", 
        "givenName": "Benoit", 
        "id": "sg:person.014373654637.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014373654637.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "OeRC, Oxford University, Oxford, UK", 
          "id": "http://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "OeRC, Oxford University, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sparrow", 
        "givenName": "Sarah", 
        "id": "sg:person.013147101037.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013147101037.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "OeRC, Oxford University, Oxford, UK", 
          "id": "http://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "OeRC, Oxford University, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wallom", 
        "givenName": "David", 
        "id": "sg:person.015131374022.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015131374022.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "AOPP, Oxford University, Oxford, UK", 
          "id": "http://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "Environmental Change Institute, Oxford University, Oxford, UK", 
            "AOPP, Oxford University, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Allen", 
        "givenName": "Myles", 
        "id": "sg:person.0600474550.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600474550.17"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00382-013-1970-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013057145", 
          "https://doi.org/10.1007/s00382-013-1970-y"
        ], 
        "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.10.1007/s00382-014-2238-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053445527", 
          "https://doi.org/10.1007/s00382-014-2238-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-010-0780-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051625990", 
          "https://doi.org/10.1007/s00382-010-0780-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s40641-015-0020-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032113492", 
          "https://doi.org/10.1007/s40641-015-0020-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nclimate2927", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011320779", 
          "https://doi.org/10.1038/nclimate2927"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-013-1883-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036444745", 
          "https://doi.org/10.1007/s00382-013-1883-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-006-0140-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037365848", 
          "https://doi.org/10.1007/s00382-006-0140-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nclimate2314", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008669655", 
          "https://doi.org/10.1038/nclimate2314"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-012-1560-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030005158", 
          "https://doi.org/10.1007/s00382-012-1560-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-010-9800-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000824091", 
          "https://doi.org/10.1007/s10584-010-9800-2"
        ], 
        "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"
      }
    ], 
    "datePublished": "2016-08-23", 
    "datePublishedReg": "2016-08-23", 
    "description": "Atmospheric modes of variability relevant for extreme temperature and precipitation events are evaluated in models currently being used for extreme event attribution. A 100 member initial condition ensemble of the global circulation model HadAM3P is compared with both the multi-model ensemble from the Coupled Model Inter-comparison Project, Phase 5 (CMIP5) and the CMIP5 atmosphere-only counterparts (AMIP5). The use of HadAM3P allows for huge ensembles to be computed relatively fast, thereby providing unique insights into the dynamics of extremes. The analysis focuses on mid Northern Latitudes (primarily Europe) during winter, and is compared with ERA-Interim reanalysis. The tri-modal Atlantic eddy-driven jet distribution is remarkably well captured in HadAM3P, but not so in the CMIP5 or AMIP5 multi-model mean, although individual models fare better. The well known underestimation of blocking in the Atlantic region is apparent in CMIP5 and AMIP5, and also, to a lesser extent, in HadAM3P. Pacific blocking features are well produced in all modeling initiatives. Blocking duration is biased towards models reproducing too many short-lived events in all three modelling systems. Associated storm tracks are too zonal over the Atlantic in the CMIP5 and AMIP5 ensembles, but better simulated in HadAM3P with the exception of being too weak over Western Europe. In all cases, the CMIP5 and AMIP5 performances were almost identical, suggesting that the biases in atmospheric modes considered here are not strongly coupled to SSTs, and perhaps other model characteristics such as resolution are more important. For event attribution studies,\u00a0it is recommended that rather than taking statistics over the entire CMIP5 or AMIP5 available models, only models capable of producing the relevant dynamical phenomena be employed.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00382-016-3308-z", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.7037241", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3938946", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2761096", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2768897", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2776361", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1049631", 
        "issn": [
          "0930-7575", 
          "1432-0894"
        ], 
        "name": "Climate Dynamics", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11-12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "48"
      }
    ], 
    "keywords": [
      "atmospheric modes", 
      "Coupled Model Inter-comparison Project", 
      "Model Inter-comparison Project", 
      "associated storm tracks", 
      "mid-latitude dynamics", 
      "initial condition ensemble", 
      "multi-model mean", 
      "ERA-Interim reanalysis", 
      "multi-model ensemble", 
      "mid-northern latitudes", 
      "extreme event attribution", 
      "event attribution studies", 
      "short-lived events", 
      "storm track", 
      "precipitation events", 
      "phase 5", 
      "event attribution", 
      "Atlantic region", 
      "attribution studies", 
      "CMIP5", 
      "northern latitudes", 
      "HadAM3P", 
      "modelling system", 
      "huge ensemble", 
      "blocking features", 
      "extreme temperatures", 
      "individual models", 
      "Atlantic", 
      "attribution system", 
      "ensemble", 
      "Western Europe", 
      "AMIP5", 
      "SST", 
      "model characteristics", 
      "events", 
      "reanalysis", 
      "latitudes", 
      "winter", 
      "unique insights", 
      "atmosphere", 
      "extremes", 
      "variability", 
      "available models", 
      "wells", 
      "dynamical phenomena", 
      "underestimation", 
      "lesser extent", 
      "dynamics", 
      "biases", 
      "track", 
      "model", 
      "region", 
      "resolution", 
      "Europe", 
      "attribution", 
      "distribution", 
      "temperature", 
      "jet distributions", 
      "extent", 
      "exception", 
      "features", 
      "characteristics", 
      "insights", 
      "mode", 
      "system", 
      "project", 
      "phenomenon", 
      "statistics", 
      "analysis", 
      "duration", 
      "study", 
      "means", 
      "counterparts", 
      "use", 
      "cases", 
      "initiatives", 
      "performance"
    ], 
    "name": "Assessing mid-latitude dynamics in extreme event attribution systems", 
    "pagination": "3889-3901", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1032152637"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00382-016-3308-z"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00382-016-3308-z", 
      "https://app.dimensions.ai/details/publication/pub.1032152637"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-20T07:31", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_689.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00382-016-3308-z"
  }
]
 

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/s00382-016-3308-z'

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/s00382-016-3308-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00382-016-3308-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00382-016-3308-z'


 

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

280 TRIPLES      22 PREDICATES      114 URIs      94 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00382-016-3308-z schema:about anzsrc-for:04
2 anzsrc-for:0401
3 schema:author N2d7e27506a8d4b52a541af5f5170555b
4 schema:citation sg:pub.10.1007/s00382-006-0140-x
5 sg:pub.10.1007/s00382-010-0780-8
6 sg:pub.10.1007/s00382-012-1560-4
7 sg:pub.10.1007/s00382-013-1883-9
8 sg:pub.10.1007/s00382-013-1970-y
9 sg:pub.10.1007/s00382-014-2238-x
10 sg:pub.10.1007/s10584-010-9800-2
11 sg:pub.10.1007/s40641-015-0020-8
12 sg:pub.10.1038/nature03301
13 sg:pub.10.1038/nature09762
14 sg:pub.10.1038/nclimate2314
15 sg:pub.10.1038/nclimate2927
16 schema:datePublished 2016-08-23
17 schema:datePublishedReg 2016-08-23
18 schema:description Atmospheric modes of variability relevant for extreme temperature and precipitation events are evaluated in models currently being used for extreme event attribution. A 100 member initial condition ensemble of the global circulation model HadAM3P is compared with both the multi-model ensemble from the Coupled Model Inter-comparison Project, Phase 5 (CMIP5) and the CMIP5 atmosphere-only counterparts (AMIP5). The use of HadAM3P allows for huge ensembles to be computed relatively fast, thereby providing unique insights into the dynamics of extremes. The analysis focuses on mid Northern Latitudes (primarily Europe) during winter, and is compared with ERA-Interim reanalysis. The tri-modal Atlantic eddy-driven jet distribution is remarkably well captured in HadAM3P, but not so in the CMIP5 or AMIP5 multi-model mean, although individual models fare better. The well known underestimation of blocking in the Atlantic region is apparent in CMIP5 and AMIP5, and also, to a lesser extent, in HadAM3P. Pacific blocking features are well produced in all modeling initiatives. Blocking duration is biased towards models reproducing too many short-lived events in all three modelling systems. Associated storm tracks are too zonal over the Atlantic in the CMIP5 and AMIP5 ensembles, but better simulated in HadAM3P with the exception of being too weak over Western Europe. In all cases, the CMIP5 and AMIP5 performances were almost identical, suggesting that the biases in atmospheric modes considered here are not strongly coupled to SSTs, and perhaps other model characteristics such as resolution are more important. For event attribution studies, it is recommended that rather than taking statistics over the entire CMIP5 or AMIP5 available models, only models capable of producing the relevant dynamical phenomena be employed.
19 schema:genre article
20 schema:inLanguage en
21 schema:isAccessibleForFree true
22 schema:isPartOf N0cd4cc8557a240288525422b8c101056
23 N54fdd7b8531c4285a0672b592a14e1a3
24 sg:journal.1049631
25 schema:keywords AMIP5
26 Atlantic
27 Atlantic region
28 CMIP5
29 Coupled Model Inter-comparison Project
30 ERA-Interim reanalysis
31 Europe
32 HadAM3P
33 Model Inter-comparison Project
34 SST
35 Western Europe
36 analysis
37 associated storm tracks
38 atmosphere
39 atmospheric modes
40 attribution
41 attribution studies
42 attribution system
43 available models
44 biases
45 blocking features
46 cases
47 characteristics
48 counterparts
49 distribution
50 duration
51 dynamical phenomena
52 dynamics
53 ensemble
54 event attribution
55 event attribution studies
56 events
57 exception
58 extent
59 extreme event attribution
60 extreme temperatures
61 extremes
62 features
63 huge ensemble
64 individual models
65 initial condition ensemble
66 initiatives
67 insights
68 jet distributions
69 latitudes
70 lesser extent
71 means
72 mid-latitude dynamics
73 mid-northern latitudes
74 mode
75 model
76 model characteristics
77 modelling system
78 multi-model ensemble
79 multi-model mean
80 northern latitudes
81 performance
82 phase 5
83 phenomenon
84 precipitation events
85 project
86 reanalysis
87 region
88 resolution
89 short-lived events
90 statistics
91 storm track
92 study
93 system
94 temperature
95 track
96 underestimation
97 unique insights
98 use
99 variability
100 wells
101 winter
102 schema:name Assessing mid-latitude dynamics in extreme event attribution systems
103 schema:pagination 3889-3901
104 schema:productId N61433446114b46be88d452cca79a148b
105 N7a8507e6ab4a46a385465e83bd41909c
106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032152637
107 https://doi.org/10.1007/s00382-016-3308-z
108 schema:sdDatePublished 2022-05-20T07:31
109 schema:sdLicense https://scigraph.springernature.com/explorer/license/
110 schema:sdPublisher Na6a34f4584314837bae5a87153d77a67
111 schema:url https://doi.org/10.1007/s00382-016-3308-z
112 sgo:license sg:explorer/license/
113 sgo:sdDataset articles
114 rdf:type schema:ScholarlyArticle
115 N03ee811936a24a30bf88e0b325ce7b39 schema:affiliation grid-institutes:grid.4991.5
116 schema:familyName Otto
117 schema:givenName Fredi
118 rdf:type schema:Person
119 N0cd4cc8557a240288525422b8c101056 schema:volumeNumber 48
120 rdf:type schema:PublicationVolume
121 N2d7e27506a8d4b52a541af5f5170555b rdf:first sg:person.011661003563.01
122 rdf:rest N8a261239f29b417eae903365f30344c1
123 N37ec089fdee74b1cb4de44518e32b294 rdf:first sg:person.0600474550.17
124 rdf:rest rdf:nil
125 N3cc90ebfe6cd425399cc6e43eae65583 rdf:first sg:person.015131374022.11
126 rdf:rest N37ec089fdee74b1cb4de44518e32b294
127 N429368f843ca44358a3782f0662cc0f6 rdf:first N03ee811936a24a30bf88e0b325ce7b39
128 rdf:rest N71fc6ac4755c4864bab16d682de10558
129 N4623e52da6334554b2251e819e8f0f98 rdf:first sg:person.012276303361.94
130 rdf:rest Ne795059de35242f0bc9c225f429f0a03
131 N4c7132a4d16e47138f32c2aadf5cfafb rdf:first sg:person.011743346331.21
132 rdf:rest N726e17260e21489e81e9a02c995d07b4
133 N54fdd7b8531c4285a0672b592a14e1a3 schema:issueNumber 11-12
134 rdf:type schema:PublicationIssue
135 N61433446114b46be88d452cca79a148b schema:name dimensions_id
136 schema:value pub.1032152637
137 rdf:type schema:PropertyValue
138 N71fc6ac4755c4864bab16d682de10558 rdf:first sg:person.014373654637.01
139 rdf:rest N965a320617cd4db98a78cfad2ccffe28
140 N726e17260e21489e81e9a02c995d07b4 rdf:first sg:person.013447737257.93
141 rdf:rest N429368f843ca44358a3782f0662cc0f6
142 N7a8507e6ab4a46a385465e83bd41909c schema:name doi
143 schema:value 10.1007/s00382-016-3308-z
144 rdf:type schema:PropertyValue
145 N8a261239f29b417eae903365f30344c1 rdf:first sg:person.010204235423.46
146 rdf:rest N4623e52da6334554b2251e819e8f0f98
147 N965a320617cd4db98a78cfad2ccffe28 rdf:first sg:person.013147101037.33
148 rdf:rest N3cc90ebfe6cd425399cc6e43eae65583
149 Na6a34f4584314837bae5a87153d77a67 schema:name Springer Nature - SN SciGraph project
150 rdf:type schema:Organization
151 Ne795059de35242f0bc9c225f429f0a03 rdf:first sg:person.011202345633.67
152 rdf:rest Nfc7045ccbd0a4ee98cfedd7e0d65a4d6
153 Nfc7045ccbd0a4ee98cfedd7e0d65a4d6 rdf:first sg:person.07702737007.82
154 rdf:rest N4c7132a4d16e47138f32c2aadf5cfafb
155 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
156 schema:name Earth Sciences
157 rdf:type schema:DefinedTerm
158 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
159 schema:name Atmospheric Sciences
160 rdf:type schema:DefinedTerm
161 sg:grant.2761096 http://pending.schema.org/fundedItem sg:pub.10.1007/s00382-016-3308-z
162 rdf:type schema:MonetaryGrant
163 sg:grant.2768897 http://pending.schema.org/fundedItem sg:pub.10.1007/s00382-016-3308-z
164 rdf:type schema:MonetaryGrant
165 sg:grant.2776361 http://pending.schema.org/fundedItem sg:pub.10.1007/s00382-016-3308-z
166 rdf:type schema:MonetaryGrant
167 sg:grant.3938946 http://pending.schema.org/fundedItem sg:pub.10.1007/s00382-016-3308-z
168 rdf:type schema:MonetaryGrant
169 sg:grant.7037241 http://pending.schema.org/fundedItem sg:pub.10.1007/s00382-016-3308-z
170 rdf:type schema:MonetaryGrant
171 sg:journal.1049631 schema:issn 0930-7575
172 1432-0894
173 schema:name Climate Dynamics
174 schema:publisher Springer Nature
175 rdf:type schema:Periodical
176 sg:person.010204235423.46 schema:affiliation grid-institutes:grid.5607.4
177 schema:familyName Davini
178 schema:givenName Paolo
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010204235423.46
180 rdf:type schema:Person
181 sg:person.011202345633.67 schema:affiliation grid-institutes:grid.4991.5
182 schema:familyName Massey
183 schema:givenName Neil
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011202345633.67
185 rdf:type schema:Person
186 sg:person.011661003563.01 schema:affiliation grid-institutes:grid.4991.5
187 schema:familyName Mitchell
188 schema:givenName Daniel
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011661003563.01
190 rdf:type schema:Person
191 sg:person.011743346331.21 schema:affiliation grid-institutes:grid.4991.5
192 schema:familyName Woollings
193 schema:givenName Tim
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011743346331.21
195 rdf:type schema:Person
196 sg:person.012276303361.94 schema:affiliation grid-institutes:grid.9435.b
197 schema:familyName Harvey
198 schema:givenName Ben
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012276303361.94
200 rdf:type schema:Person
201 sg:person.013147101037.33 schema:affiliation grid-institutes:grid.4991.5
202 schema:familyName Sparrow
203 schema:givenName Sarah
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013147101037.33
205 rdf:type schema:Person
206 sg:person.013447737257.93 schema:affiliation grid-institutes:grid.4991.5
207 schema:familyName Jones
208 schema:givenName Richard
209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013447737257.93
210 rdf:type schema:Person
211 sg:person.014373654637.01 schema:affiliation grid-institutes:grid.4991.5
212 schema:familyName Guillod
213 schema:givenName Benoit
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014373654637.01
215 rdf:type schema:Person
216 sg:person.015131374022.11 schema:affiliation grid-institutes:grid.4991.5
217 schema:familyName Wallom
218 schema:givenName David
219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015131374022.11
220 rdf:type schema:Person
221 sg:person.0600474550.17 schema:affiliation grid-institutes:grid.4991.5
222 schema:familyName Allen
223 schema:givenName Myles
224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600474550.17
225 rdf:type schema:Person
226 sg:person.07702737007.82 schema:affiliation grid-institutes:grid.4991.5
227 schema:familyName Haustein
228 schema:givenName Karsten
229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07702737007.82
230 rdf:type schema:Person
231 sg:pub.10.1007/s00382-006-0140-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1037365848
232 https://doi.org/10.1007/s00382-006-0140-x
233 rdf:type schema:CreativeWork
234 sg:pub.10.1007/s00382-010-0780-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051625990
235 https://doi.org/10.1007/s00382-010-0780-8
236 rdf:type schema:CreativeWork
237 sg:pub.10.1007/s00382-012-1560-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030005158
238 https://doi.org/10.1007/s00382-012-1560-4
239 rdf:type schema:CreativeWork
240 sg:pub.10.1007/s00382-013-1883-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036444745
241 https://doi.org/10.1007/s00382-013-1883-9
242 rdf:type schema:CreativeWork
243 sg:pub.10.1007/s00382-013-1970-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1013057145
244 https://doi.org/10.1007/s00382-013-1970-y
245 rdf:type schema:CreativeWork
246 sg:pub.10.1007/s00382-014-2238-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1053445527
247 https://doi.org/10.1007/s00382-014-2238-x
248 rdf:type schema:CreativeWork
249 sg:pub.10.1007/s10584-010-9800-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000824091
250 https://doi.org/10.1007/s10584-010-9800-2
251 rdf:type schema:CreativeWork
252 sg:pub.10.1007/s40641-015-0020-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032113492
253 https://doi.org/10.1007/s40641-015-0020-8
254 rdf:type schema:CreativeWork
255 sg:pub.10.1038/nature03301 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030001284
256 https://doi.org/10.1038/nature03301
257 rdf:type schema:CreativeWork
258 sg:pub.10.1038/nature09762 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043530920
259 https://doi.org/10.1038/nature09762
260 rdf:type schema:CreativeWork
261 sg:pub.10.1038/nclimate2314 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008669655
262 https://doi.org/10.1038/nclimate2314
263 rdf:type schema:CreativeWork
264 sg:pub.10.1038/nclimate2927 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011320779
265 https://doi.org/10.1038/nclimate2927
266 rdf:type schema:CreativeWork
267 grid-institutes:grid.4991.5 schema:alternateName AOPP, Oxford University, Oxford, UK
268 Environmental Change Institute, Oxford University, Oxford, UK
269 OeRC, Oxford University, Oxford, UK
270 schema:name AOPP, Oxford University, Oxford, UK
271 Environmental Change Institute, Oxford University, Oxford, UK
272 Met Office Hadley Centre, Exeter, UK
273 OeRC, Oxford University, Oxford, UK
274 rdf:type schema:Organization
275 grid-institutes:grid.5607.4 schema:alternateName Laboratoire de Météorologie Dynamique/IPSL, Ecole Normale Supérieure, Paris, France
276 schema:name Laboratoire de Météorologie Dynamique/IPSL, Ecole Normale Supérieure, Paris, France
277 rdf:type schema:Organization
278 grid-institutes:grid.9435.b schema:alternateName NCAS, Department of Meteorology, University of Reading, Reading, UK
279 schema:name NCAS, Department of Meteorology, University of Reading, Reading, UK
280 rdf:type schema:Organization
 




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


...