The influence of the Gulf Stream on wintertime European blocking View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-11-25

AUTHORS

Christopher H. O’Reilly, Shoshiro Minobe, Akira Kuwano-Yoshida

ABSTRACT

Wintertime blocking is responsible for extended periods of anomalously cold and dry weather over Europe. In this study, the influence of the Gulf Stream sea surface temperature (SST) front on wintertime European blocking is investigated using a reanalysis dataset and a pair of atmospheric general circulation model (AGCM) simulations. The AGCM is forced with realistic and smoothed Gulf Stream SST, and blocking frequency over Europe is found to depend crucially on the Gulf Stream SST front. In the absence of the sharp SST gradient European blocking is significantly reduced and occurs further downstream. The Gulf Stream is found to significantly influence the surface temperature anomalies during blocking periods and the occurrence of associated cold spells. In particular the cold spell peak, located in central Europe, disappears in the absence of the Gulf Stream SST front. The nature of the Gulf Stream influence on European blocking development is then investigated using composite analysis. The presence of the Gulf Stream SST front is important in capturing the observed quasi-stationary development of European blocking. The development is characterised by increased lower-tropospheric meridional eddy heat transport in the Gulf Stream region and increased eddy kinetic energy at upper-levels, which acts to reinforce the quasi-stationary jet. When the Gulf Stream SST is smoothed the storm track activity is weaker, the development is less consistent and European blocking occurs less frequently. More... »

PAGES

1545-1567

References to SciGraph publications

  • 2013-11-21. Storm track response to ocean fronts in a global high-resolution climate model in CLIMATE DYNAMICS
  • 2013-07-14. European blocking and Atlantic jet stream variability in the NCEP/NCAR reanalysis and the CMCC-CMS climate model in CLIMATE DYNAMICS
  • 2011-09-17. Interdecadal changes in the storm track activity over the North Pacific and North Atlantic in CLIMATE DYNAMICS
  • 2008. Description of AFES 2: Improvements for High-Resolution and Coupled Simulations in HIGH RESOLUTION NUMERICAL MODELLING OF THE ATMOSPHERE AND OCEAN
  • 2009-04-10. Storm track sensitivity to sea surface temperature resolution in a regional atmosphere model in CLIMATE DYNAMICS
  • 2011-11-19. A methodology for the comparison of blocking climatologies across indices, models and climate scenarios in CLIMATE DYNAMICS
  • 2004-05-29. Climate impact of the European winter blocking episodes from the NCEP/NCAR Reanalyses in CLIMATE DYNAMICS
  • 2014-07-16. Diurnal precipitation and high cloud frequency variability over the Gulf Stream and over the Kuroshio in CLIMATE DYNAMICS
  • 2014-07-31. Contrasting interannual and multidecadal NAO variability in CLIMATE DYNAMICS
  • 2008-03. Influence of the Gulf Stream on the troposphere in NATURE
  • 2012-08-07. Midlatitude storms in a moister world: lessons from idealized baroclinic life cycle experiments in CLIMATE DYNAMICS
  • 2010-03-03. Application of blocking diagnosis methods to General Circulation Models. Part I: a novel detection scheme in CLIMATE DYNAMICS
  • 2009-10-15. Winter synoptic-scale variability over the Mediterranean Basin under future climate conditions as simulated by the ECHAM5 in CLIMATE DYNAMICS
  • 2013-03-24. Simulated response to inter-annual SST variations in the Gulf Stream region in CLIMATE DYNAMICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00382-015-2919-0

    DOI

    http://dx.doi.org/10.1007/s00382-015-2919-0

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1004483880


    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"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0406", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Physical Geography and Environmental Geoscience", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Physics, Atmospheric, Oceanic and Planetary Physics, Parks Rd, OX1 3PU, Oxford, UK", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Department of Natural History Sciences, Graduate School of Science, Hokkaido University, Sapporo, Japan", 
                "Department of Physics, Atmospheric, Oceanic and Planetary Physics, Parks Rd, OX1 3PU, Oxford, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "O\u2019Reilly", 
            "givenName": "Christopher H.", 
            "id": "sg:person.012671740572.65", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012671740572.65"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Natural History Sciences, Graduate School of Science, Hokkaido University, Sapporo, Japan", 
              "id": "http://www.grid.ac/institutes/grid.39158.36", 
              "name": [
                "Department of Natural History Sciences, Graduate School of Science, Hokkaido University, Sapporo, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Minobe", 
            "givenName": "Shoshiro", 
            "id": "sg:person.013371337405.48", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013371337405.48"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Application Laboratory, Japan Agency for Marine-Earth Science and Technology, Yokohama, Kanagawa, Japan", 
              "id": "http://www.grid.ac/institutes/grid.410588.0", 
              "name": [
                "Application Laboratory, Japan Agency for Marine-Earth Science and Technology, Yokohama, Kanagawa, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kuwano-Yoshida", 
            "givenName": "Akira", 
            "id": "sg:person.014743723632.90", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014743723632.90"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s00382-012-1472-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039635234", 
              "https://doi.org/10.1007/s00382-012-1472-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature06690", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032163324", 
              "https://doi.org/10.1038/nature06690"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-013-1873-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004479074", 
              "https://doi.org/10.1007/s00382-013-1873-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-014-2237-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039544609", 
              "https://doi.org/10.1007/s00382-014-2237-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-011-1188-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022051195", 
              "https://doi.org/10.1007/s00382-011-1188-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-009-0678-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027533000", 
              "https://doi.org/10.1007/s00382-009-0678-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-013-1980-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034554599", 
              "https://doi.org/10.1007/s00382-013-1980-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-0-387-49791-4_5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046266379", 
              "https://doi.org/10.1007/978-0-387-49791-4_5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-011-1243-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017772921", 
              "https://doi.org/10.1007/s00382-011-1243-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-004-0410-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019355082", 
              "https://doi.org/10.1007/s00382-004-0410-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-009-0554-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041321922", 
              "https://doi.org/10.1007/s00382-009-0554-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-010-0767-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012251839", 
              "https://doi.org/10.1007/s00382-010-0767-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-014-2245-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015803864", 
              "https://doi.org/10.1007/s00382-014-2245-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-013-1715-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022716081", 
              "https://doi.org/10.1007/s00382-013-1715-y"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2015-11-25", 
        "datePublishedReg": "2015-11-25", 
        "description": "Wintertime blocking is responsible for extended periods of anomalously cold and dry weather over Europe. In this study, the influence of the Gulf Stream sea surface temperature (SST) front on wintertime European blocking is investigated using a reanalysis dataset and a pair of atmospheric general circulation model (AGCM) simulations. The AGCM is forced with realistic and smoothed Gulf Stream SST, and blocking frequency over Europe is found to depend crucially on the Gulf Stream SST front. In the absence of the sharp SST gradient European blocking is significantly reduced and occurs further downstream. The Gulf Stream is found to significantly influence the surface temperature anomalies during blocking periods and the occurrence of associated cold spells. In particular the cold spell peak, located in central Europe, disappears in the absence of the Gulf Stream SST front. The nature of the Gulf Stream influence on European blocking development is then investigated using composite analysis. The presence of the Gulf Stream SST front is important in capturing the observed quasi-stationary development of European blocking. The development is characterised by increased lower-tropospheric meridional eddy heat transport in the Gulf Stream region and increased eddy kinetic energy at upper-levels, which acts to reinforce the quasi-stationary jet. When the Gulf Stream SST is smoothed the storm track activity is weaker, the development is less consistent and European blocking occurs less frequently.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s00382-015-2919-0", 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.6029764", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.6032171", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.6114987", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.6139321", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1049631", 
            "issn": [
              "0930-7575", 
              "1432-0894"
            ], 
            "name": "Climate Dynamics", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "5-6", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "47"
          }
        ], 
        "keywords": [
          "European blocking", 
          "SST front", 
          "Gulf Stream", 
          "atmospheric general circulation model simulations", 
          "sea surface temperature fronts", 
          "general circulation model simulations", 
          "meridional eddy heat transport", 
          "surface temperature fronts", 
          "circulation model simulations", 
          "surface temperature anomalies", 
          "storm track activity", 
          "Gulf Stream influence", 
          "Gulf Stream region", 
          "eddy heat transport", 
          "eddy kinetic energy", 
          "quasi-stationary jet", 
          "reanalysis datasets", 
          "temperature anomalies", 
          "track activity", 
          "composite analysis", 
          "model simulations", 
          "stream influence", 
          "temperature front", 
          "Stream region", 
          "cold spells", 
          "heat transport", 
          "dry weather", 
          "Central Europe", 
          "SST", 
          "front", 
          "AGCM", 
          "kinetic energy", 
          "streams", 
          "Europe", 
          "weather", 
          "anomalies", 
          "extended period", 
          "spells", 
          "period", 
          "blocking", 
          "transport", 
          "occurrence", 
          "downstream", 
          "influence", 
          "region", 
          "jet", 
          "dataset", 
          "peak", 
          "simulations", 
          "development", 
          "nature", 
          "absence", 
          "analysis", 
          "frequency", 
          "presence", 
          "activity", 
          "study", 
          "energy", 
          "pairs"
        ], 
        "name": "The influence of the Gulf Stream on wintertime European blocking", 
        "pagination": "1545-1567", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1004483880"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00382-015-2919-0"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00382-015-2919-0", 
          "https://app.dimensions.ai/details/publication/pub.1004483880"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-10-01T06:40", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/article/article_661.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s00382-015-2919-0"
      }
    ]
     

    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/s00382-015-2919-0'

    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/s00382-015-2919-0'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00382-015-2919-0'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00382-015-2919-0'


     

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

    209 TRIPLES      21 PREDICATES      99 URIs      75 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00382-015-2919-0 schema:about anzsrc-for:04
    2 anzsrc-for:0401
    3 anzsrc-for:0405
    4 anzsrc-for:0406
    5 schema:author N2cf235925ad44fca82a76df025e846fd
    6 schema:citation sg:pub.10.1007/978-0-387-49791-4_5
    7 sg:pub.10.1007/s00382-004-0410-4
    8 sg:pub.10.1007/s00382-009-0554-3
    9 sg:pub.10.1007/s00382-009-0678-5
    10 sg:pub.10.1007/s00382-010-0767-5
    11 sg:pub.10.1007/s00382-011-1188-9
    12 sg:pub.10.1007/s00382-011-1243-6
    13 sg:pub.10.1007/s00382-012-1472-3
    14 sg:pub.10.1007/s00382-013-1715-y
    15 sg:pub.10.1007/s00382-013-1873-y
    16 sg:pub.10.1007/s00382-013-1980-9
    17 sg:pub.10.1007/s00382-014-2237-y
    18 sg:pub.10.1007/s00382-014-2245-y
    19 sg:pub.10.1038/nature06690
    20 schema:datePublished 2015-11-25
    21 schema:datePublishedReg 2015-11-25
    22 schema:description Wintertime blocking is responsible for extended periods of anomalously cold and dry weather over Europe. In this study, the influence of the Gulf Stream sea surface temperature (SST) front on wintertime European blocking is investigated using a reanalysis dataset and a pair of atmospheric general circulation model (AGCM) simulations. The AGCM is forced with realistic and smoothed Gulf Stream SST, and blocking frequency over Europe is found to depend crucially on the Gulf Stream SST front. In the absence of the sharp SST gradient European blocking is significantly reduced and occurs further downstream. The Gulf Stream is found to significantly influence the surface temperature anomalies during blocking periods and the occurrence of associated cold spells. In particular the cold spell peak, located in central Europe, disappears in the absence of the Gulf Stream SST front. The nature of the Gulf Stream influence on European blocking development is then investigated using composite analysis. The presence of the Gulf Stream SST front is important in capturing the observed quasi-stationary development of European blocking. The development is characterised by increased lower-tropospheric meridional eddy heat transport in the Gulf Stream region and increased eddy kinetic energy at upper-levels, which acts to reinforce the quasi-stationary jet. When the Gulf Stream SST is smoothed the storm track activity is weaker, the development is less consistent and European blocking occurs less frequently.
    23 schema:genre article
    24 schema:isAccessibleForFree true
    25 schema:isPartOf N2bd9bf36a62d4919ba781aaf0cdad5a0
    26 N72e55731040c4683ad7804533618a5b1
    27 sg:journal.1049631
    28 schema:keywords AGCM
    29 Central Europe
    30 Europe
    31 European blocking
    32 Gulf Stream
    33 Gulf Stream influence
    34 Gulf Stream region
    35 SST
    36 SST front
    37 Stream region
    38 absence
    39 activity
    40 analysis
    41 anomalies
    42 atmospheric general circulation model simulations
    43 blocking
    44 circulation model simulations
    45 cold spells
    46 composite analysis
    47 dataset
    48 development
    49 downstream
    50 dry weather
    51 eddy heat transport
    52 eddy kinetic energy
    53 energy
    54 extended period
    55 frequency
    56 front
    57 general circulation model simulations
    58 heat transport
    59 influence
    60 jet
    61 kinetic energy
    62 meridional eddy heat transport
    63 model simulations
    64 nature
    65 occurrence
    66 pairs
    67 peak
    68 period
    69 presence
    70 quasi-stationary jet
    71 reanalysis datasets
    72 region
    73 sea surface temperature fronts
    74 simulations
    75 spells
    76 storm track activity
    77 stream influence
    78 streams
    79 study
    80 surface temperature anomalies
    81 surface temperature fronts
    82 temperature anomalies
    83 temperature front
    84 track activity
    85 transport
    86 weather
    87 schema:name The influence of the Gulf Stream on wintertime European blocking
    88 schema:pagination 1545-1567
    89 schema:productId N751471b594104099a8f2b1b4acada865
    90 Ncdef7d34dfc344afb4ae5ca773c7b015
    91 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004483880
    92 https://doi.org/10.1007/s00382-015-2919-0
    93 schema:sdDatePublished 2022-10-01T06:40
    94 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    95 schema:sdPublisher N703b2601cd7b4bac8a4cc5ae65957eb0
    96 schema:url https://doi.org/10.1007/s00382-015-2919-0
    97 sgo:license sg:explorer/license/
    98 sgo:sdDataset articles
    99 rdf:type schema:ScholarlyArticle
    100 N2bd9bf36a62d4919ba781aaf0cdad5a0 schema:issueNumber 5-6
    101 rdf:type schema:PublicationIssue
    102 N2cf235925ad44fca82a76df025e846fd rdf:first sg:person.012671740572.65
    103 rdf:rest N52f96d5d0edc473a8042fd654ff6e052
    104 N4e8b637bc25f4f1d845d120810917e58 rdf:first sg:person.014743723632.90
    105 rdf:rest rdf:nil
    106 N52f96d5d0edc473a8042fd654ff6e052 rdf:first sg:person.013371337405.48
    107 rdf:rest N4e8b637bc25f4f1d845d120810917e58
    108 N703b2601cd7b4bac8a4cc5ae65957eb0 schema:name Springer Nature - SN SciGraph project
    109 rdf:type schema:Organization
    110 N72e55731040c4683ad7804533618a5b1 schema:volumeNumber 47
    111 rdf:type schema:PublicationVolume
    112 N751471b594104099a8f2b1b4acada865 schema:name dimensions_id
    113 schema:value pub.1004483880
    114 rdf:type schema:PropertyValue
    115 Ncdef7d34dfc344afb4ae5ca773c7b015 schema:name doi
    116 schema:value 10.1007/s00382-015-2919-0
    117 rdf:type schema:PropertyValue
    118 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
    119 schema:name Earth Sciences
    120 rdf:type schema:DefinedTerm
    121 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
    122 schema:name Atmospheric Sciences
    123 rdf:type schema:DefinedTerm
    124 anzsrc-for:0405 schema:inDefinedTermSet anzsrc-for:
    125 schema:name Oceanography
    126 rdf:type schema:DefinedTerm
    127 anzsrc-for:0406 schema:inDefinedTermSet anzsrc-for:
    128 schema:name Physical Geography and Environmental Geoscience
    129 rdf:type schema:DefinedTerm
    130 sg:grant.6029764 http://pending.schema.org/fundedItem sg:pub.10.1007/s00382-015-2919-0
    131 rdf:type schema:MonetaryGrant
    132 sg:grant.6032171 http://pending.schema.org/fundedItem sg:pub.10.1007/s00382-015-2919-0
    133 rdf:type schema:MonetaryGrant
    134 sg:grant.6114987 http://pending.schema.org/fundedItem sg:pub.10.1007/s00382-015-2919-0
    135 rdf:type schema:MonetaryGrant
    136 sg:grant.6139321 http://pending.schema.org/fundedItem sg:pub.10.1007/s00382-015-2919-0
    137 rdf:type schema:MonetaryGrant
    138 sg:journal.1049631 schema:issn 0930-7575
    139 1432-0894
    140 schema:name Climate Dynamics
    141 schema:publisher Springer Nature
    142 rdf:type schema:Periodical
    143 sg:person.012671740572.65 schema:affiliation grid-institutes:None
    144 schema:familyName O’Reilly
    145 schema:givenName Christopher H.
    146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012671740572.65
    147 rdf:type schema:Person
    148 sg:person.013371337405.48 schema:affiliation grid-institutes:grid.39158.36
    149 schema:familyName Minobe
    150 schema:givenName Shoshiro
    151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013371337405.48
    152 rdf:type schema:Person
    153 sg:person.014743723632.90 schema:affiliation grid-institutes:grid.410588.0
    154 schema:familyName Kuwano-Yoshida
    155 schema:givenName Akira
    156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014743723632.90
    157 rdf:type schema:Person
    158 sg:pub.10.1007/978-0-387-49791-4_5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046266379
    159 https://doi.org/10.1007/978-0-387-49791-4_5
    160 rdf:type schema:CreativeWork
    161 sg:pub.10.1007/s00382-004-0410-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019355082
    162 https://doi.org/10.1007/s00382-004-0410-4
    163 rdf:type schema:CreativeWork
    164 sg:pub.10.1007/s00382-009-0554-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041321922
    165 https://doi.org/10.1007/s00382-009-0554-3
    166 rdf:type schema:CreativeWork
    167 sg:pub.10.1007/s00382-009-0678-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027533000
    168 https://doi.org/10.1007/s00382-009-0678-5
    169 rdf:type schema:CreativeWork
    170 sg:pub.10.1007/s00382-010-0767-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012251839
    171 https://doi.org/10.1007/s00382-010-0767-5
    172 rdf:type schema:CreativeWork
    173 sg:pub.10.1007/s00382-011-1188-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022051195
    174 https://doi.org/10.1007/s00382-011-1188-9
    175 rdf:type schema:CreativeWork
    176 sg:pub.10.1007/s00382-011-1243-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017772921
    177 https://doi.org/10.1007/s00382-011-1243-6
    178 rdf:type schema:CreativeWork
    179 sg:pub.10.1007/s00382-012-1472-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039635234
    180 https://doi.org/10.1007/s00382-012-1472-3
    181 rdf:type schema:CreativeWork
    182 sg:pub.10.1007/s00382-013-1715-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1022716081
    183 https://doi.org/10.1007/s00382-013-1715-y
    184 rdf:type schema:CreativeWork
    185 sg:pub.10.1007/s00382-013-1873-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1004479074
    186 https://doi.org/10.1007/s00382-013-1873-y
    187 rdf:type schema:CreativeWork
    188 sg:pub.10.1007/s00382-013-1980-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034554599
    189 https://doi.org/10.1007/s00382-013-1980-9
    190 rdf:type schema:CreativeWork
    191 sg:pub.10.1007/s00382-014-2237-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1039544609
    192 https://doi.org/10.1007/s00382-014-2237-y
    193 rdf:type schema:CreativeWork
    194 sg:pub.10.1007/s00382-014-2245-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1015803864
    195 https://doi.org/10.1007/s00382-014-2245-y
    196 rdf:type schema:CreativeWork
    197 sg:pub.10.1038/nature06690 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032163324
    198 https://doi.org/10.1038/nature06690
    199 rdf:type schema:CreativeWork
    200 grid-institutes:None schema:alternateName Department of Physics, Atmospheric, Oceanic and Planetary Physics, Parks Rd, OX1 3PU, Oxford, UK
    201 schema:name Department of Natural History Sciences, Graduate School of Science, Hokkaido University, Sapporo, Japan
    202 Department of Physics, Atmospheric, Oceanic and Planetary Physics, Parks Rd, OX1 3PU, Oxford, UK
    203 rdf:type schema:Organization
    204 grid-institutes:grid.39158.36 schema:alternateName Department of Natural History Sciences, Graduate School of Science, Hokkaido University, Sapporo, Japan
    205 schema:name Department of Natural History Sciences, Graduate School of Science, Hokkaido University, Sapporo, Japan
    206 rdf:type schema:Organization
    207 grid-institutes:grid.410588.0 schema:alternateName Application Laboratory, Japan Agency for Marine-Earth Science and Technology, Yokohama, Kanagawa, Japan
    208 schema:name Application Laboratory, Japan Agency for Marine-Earth Science and Technology, Yokohama, Kanagawa, Japan
    209 rdf:type schema:Organization
     




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


    ...