Automated parameter tuning applied to sea ice in a global climate model View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-01

AUTHORS

Lettie A. Roach, Simon F. B. Tett, Michael J. Mineter, Kuniko Yamazaki, Cameron D. Rae

ABSTRACT

This study investigates the hypothesis that a significant portion of spread in climate model projections of sea ice is due to poorly-constrained model parameters. New automated methods for optimization are applied to historical sea ice in a global coupled climate model (HadCM3) in order to calculate the combination of parameters required to reduce the difference between simulation and observations to within the range of model noise. The optimized parameters result in a simulated sea-ice time series which is more consistent with Arctic observations throughout the satellite record (1980-present), particularly in the September minimum, than the standard configuration of HadCM3. Divergence from observed Antarctic trends and mean regional sea ice distribution reflects broader structural uncertainty in the climate model. We also find that the optimized parameters do not cause adverse effects on the model climatology. This simple approach provides evidence for the contribution of parameter uncertainty to spread in sea ice extent trends and could be customized to investigate uncertainties in other climate variables. More... »

PAGES

51-65

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00382-017-3581-5

DOI

http://dx.doi.org/10.1007/s00382-017-3581-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1084021256


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/2008/0406", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Geography and Environmental Geoscience", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Edinburgh", 
          "id": "https://www.grid.ac/institutes/grid.4305.2", 
          "name": [
            "National Institute of Water and Atmospheric Research, 301 Evans Bay Parade, Greta Point, Wellington, New Zealand", 
            "School of GeoSciences, University of Edinburgh, Crew Building, Alexander Crum Brown Road, EH9 3FF, Edinburgh, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Roach", 
        "givenName": "Lettie A.", 
        "id": "sg:person.010440322006.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010440322006.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Edinburgh", 
          "id": "https://www.grid.ac/institutes/grid.4305.2", 
          "name": [
            "School of GeoSciences, University of Edinburgh, Crew Building, Alexander Crum Brown Road, EH9 3FF, Edinburgh, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tett", 
        "givenName": "Simon F. B.", 
        "id": "sg:person.01025613710.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025613710.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Edinburgh", 
          "id": "https://www.grid.ac/institutes/grid.4305.2", 
          "name": [
            "School of GeoSciences, University of Edinburgh, Crew Building, Alexander Crum Brown Road, EH9 3FF, Edinburgh, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mineter", 
        "givenName": "Michael J.", 
        "id": "sg:person.011357255273.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011357255273.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Met Office", 
          "id": "https://www.grid.ac/institutes/grid.17100.37", 
          "name": [
            "School of GeoSciences, University of Edinburgh, Crew Building, Alexander Crum Brown Road, EH9 3FF, Edinburgh, UK", 
            "Met Office, Fitzroy Road, EX1 3PB, Devon, Exeter, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamazaki", 
        "givenName": "Kuniko", 
        "id": "sg:person.01225472064.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01225472064.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Cambridge", 
          "id": "https://www.grid.ac/institutes/grid.5335.0", 
          "name": [
            "School of GeoSciences, University of Edinburgh, Crew Building, Alexander Crum Brown Road, EH9 3FF, Edinburgh, UK", 
            "Centre for Atmospheric Science, Department of Chemistry, University of Cambridge, Lensfield Road, CB2 1EW, Cambridge, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rae", 
        "givenName": "Cameron D.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00382-012-1512-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000167629", 
          "https://doi.org/10.1007/s00382-012-1512-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2007gl029914", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001084403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/tc-9-399-2015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003255020"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2006jc003641", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005218070"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/gmd-8-3579-2015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009908613"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/2013jc009705", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011266568"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/jcli-d-12-00068.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013785552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2012gl052676", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014019351"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/tc-7-451-2013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014961464"
        ], 
        "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": "https://doi.org/10.5194/tc-6-143-2012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015580531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/2015gl066928", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018140776"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/2015gl066928", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018140776"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2011jc007084", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019659838"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2002jd002670", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020320930"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/joc.1260", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020518060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/joc.1260", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020518060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rsta.2014.0164", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021254329"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/jcli3430.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023017918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/jcli3430.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023017918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/92jc00239", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026004856"
        ], 
        "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"
      }, 
      {
        "id": "sg:pub.10.1038/nature03301", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030001284", 
          "https://doi.org/10.1038/nature03301"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ocemod.2013.12.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030503687"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/2007jcli1688.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031705799"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rsta.1995.0064", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032016885"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2012ms000154", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032078983"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/94jc02393", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032728028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3189/002214311796406095", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032897565"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ngeo2040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033854671", 
          "https://doi.org/10.1038/ngeo2040"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ocemod.2006.03.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035337495"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature02771", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036499414", 
          "https://doi.org/10.1038/nature02771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature02771", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036499414", 
          "https://doi.org/10.1038/nature02771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2012gl051432", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037100698"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2005jc003033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037372570"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/tc-8-229-2014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038145714"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-005-0040-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040068866", 
          "https://doi.org/10.1007/s00382-005-0040-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-005-0040-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040068866", 
          "https://doi.org/10.1007/s00382-005-0040-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-008-0486-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041631164", 
          "https://doi.org/10.1007/s00382-008-0486-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-008-0486-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041631164", 
          "https://doi.org/10.1007/s00382-008-0486-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2007gl031209", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041812338"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-010-0934-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044512827", 
          "https://doi.org/10.1007/s00382-010-0934-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nclimate2203", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048901707", 
          "https://doi.org/10.1038/nclimate2203"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/bams-d-15-00135.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050792599"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/jcli-d-12-00595.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053024445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.354.6311.401", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062619638"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0493(1969)097<0806:catoc>2.3.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063452143"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/2009bams2607.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063454096"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/gmd-2016-305", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083423887"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9781107415324.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1089458580"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-01", 
    "datePublishedReg": "2018-01-01", 
    "description": "This study investigates the hypothesis that a significant portion of spread in climate model projections of sea ice is due to poorly-constrained model parameters. New automated methods for optimization are applied to historical sea ice in a global coupled climate model (HadCM3) in order to calculate the combination of parameters required to reduce the difference between simulation and observations to within the range of model noise. The optimized parameters result in a simulated sea-ice time series which is more consistent with Arctic observations throughout the satellite record (1980-present), particularly in the September minimum, than the standard configuration of HadCM3. Divergence from observed Antarctic trends and mean regional sea ice distribution reflects broader structural uncertainty in the climate model. We also find that the optimized parameters do not cause adverse effects on the model climatology. This simple approach provides evidence for the contribution of parameter uncertainty to spread in sea ice extent trends and could be customized to investigate uncertainties in other climate variables.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00382-017-3581-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.3560385", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1049631", 
        "issn": [
          "0930-7575", 
          "1432-0894"
        ], 
        "name": "Climate Dynamics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1-2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "50"
      }
    ], 
    "name": "Automated parameter tuning applied to sea ice in a global climate model", 
    "pagination": "51-65", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "a623aa0808194044521d9932e79c50c432ed53ceeb1495fd5b343cb51dc75c60"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00382-017-3581-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1084021256"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00382-017-3581-5", 
      "https://app.dimensions.ai/details/publication/pub.1084021256"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:20", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000348_0000000348/records_54328_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00382-017-3581-5"
  }
]
 

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/s00382-017-3581-5'

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/s00382-017-3581-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00382-017-3581-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00382-017-3581-5'


 

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

237 TRIPLES      21 PREDICATES      70 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00382-017-3581-5 schema:about anzsrc-for:04
2 anzsrc-for:0406
3 schema:author Nb9a3e03b481a45a594be184078882cc3
4 schema:citation sg:pub.10.1007/s00382-005-0040-5
5 sg:pub.10.1007/s00382-008-0486-3
6 sg:pub.10.1007/s00382-010-0934-8
7 sg:pub.10.1007/s00382-012-1512-z
8 sg:pub.10.1007/s003820050010
9 sg:pub.10.1038/nature02771
10 sg:pub.10.1038/nature03301
11 sg:pub.10.1038/nclimate2203
12 sg:pub.10.1038/ngeo2040
13 https://doi.org/10.1002/2013jc009705
14 https://doi.org/10.1002/2015gl066928
15 https://doi.org/10.1002/joc.1260
16 https://doi.org/10.1016/j.ocemod.2006.03.003
17 https://doi.org/10.1016/j.ocemod.2013.12.003
18 https://doi.org/10.1017/cbo9781107415324.020
19 https://doi.org/10.1029/2002jd002670
20 https://doi.org/10.1029/2005jc003033
21 https://doi.org/10.1029/2006jc003641
22 https://doi.org/10.1029/2007gl029914
23 https://doi.org/10.1029/2007gl031209
24 https://doi.org/10.1029/2011jc007084
25 https://doi.org/10.1029/2012gl051432
26 https://doi.org/10.1029/2012gl052676
27 https://doi.org/10.1029/2012ms000154
28 https://doi.org/10.1029/92jc00239
29 https://doi.org/10.1029/94jc02393
30 https://doi.org/10.1098/rsta.1995.0064
31 https://doi.org/10.1098/rsta.2014.0164
32 https://doi.org/10.1126/science.354.6311.401
33 https://doi.org/10.1175/1520-0493(1969)097<0806:catoc>2.3.co;2
34 https://doi.org/10.1175/2007jcli1688.1
35 https://doi.org/10.1175/2009bams2607.1
36 https://doi.org/10.1175/bams-d-15-00135.1
37 https://doi.org/10.1175/jcli-d-12-00068.1
38 https://doi.org/10.1175/jcli-d-12-00595.1
39 https://doi.org/10.1175/jcli3430.1
40 https://doi.org/10.3189/002214311796406095
41 https://doi.org/10.5194/gmd-2016-305
42 https://doi.org/10.5194/gmd-8-3579-2015
43 https://doi.org/10.5194/tc-6-143-2012
44 https://doi.org/10.5194/tc-7-451-2013
45 https://doi.org/10.5194/tc-8-229-2014
46 https://doi.org/10.5194/tc-9-399-2015
47 schema:datePublished 2018-01
48 schema:datePublishedReg 2018-01-01
49 schema:description This study investigates the hypothesis that a significant portion of spread in climate model projections of sea ice is due to poorly-constrained model parameters. New automated methods for optimization are applied to historical sea ice in a global coupled climate model (HadCM3) in order to calculate the combination of parameters required to reduce the difference between simulation and observations to within the range of model noise. The optimized parameters result in a simulated sea-ice time series which is more consistent with Arctic observations throughout the satellite record (1980-present), particularly in the September minimum, than the standard configuration of HadCM3. Divergence from observed Antarctic trends and mean regional sea ice distribution reflects broader structural uncertainty in the climate model. We also find that the optimized parameters do not cause adverse effects on the model climatology. This simple approach provides evidence for the contribution of parameter uncertainty to spread in sea ice extent trends and could be customized to investigate uncertainties in other climate variables.
50 schema:genre research_article
51 schema:inLanguage en
52 schema:isAccessibleForFree true
53 schema:isPartOf N77e5325909144e92b99f7f37f8282022
54 Nfc30178aa32c4be1b46649d0db2c05de
55 sg:journal.1049631
56 schema:name Automated parameter tuning applied to sea ice in a global climate model
57 schema:pagination 51-65
58 schema:productId N2e683dfd6b5646d5aca55551255da12d
59 N69ecb1e6c2ab4a6db2c4f0485af2ccc2
60 Na9eced39db004353bf0b28fbbb299ecd
61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084021256
62 https://doi.org/10.1007/s00382-017-3581-5
63 schema:sdDatePublished 2019-04-11T10:20
64 schema:sdLicense https://scigraph.springernature.com/explorer/license/
65 schema:sdPublisher Naaa97d162c9a4058af97159e7d67b4ef
66 schema:url https://link.springer.com/10.1007%2Fs00382-017-3581-5
67 sgo:license sg:explorer/license/
68 sgo:sdDataset articles
69 rdf:type schema:ScholarlyArticle
70 N236bfeb1eb384a35950b2294c833d813 rdf:first N639266ece5f6456a982671d4a33e8ad1
71 rdf:rest rdf:nil
72 N2e683dfd6b5646d5aca55551255da12d schema:name readcube_id
73 schema:value a623aa0808194044521d9932e79c50c432ed53ceeb1495fd5b343cb51dc75c60
74 rdf:type schema:PropertyValue
75 N639266ece5f6456a982671d4a33e8ad1 schema:affiliation https://www.grid.ac/institutes/grid.5335.0
76 schema:familyName Rae
77 schema:givenName Cameron D.
78 rdf:type schema:Person
79 N69ecb1e6c2ab4a6db2c4f0485af2ccc2 schema:name dimensions_id
80 schema:value pub.1084021256
81 rdf:type schema:PropertyValue
82 N77e5325909144e92b99f7f37f8282022 schema:issueNumber 1-2
83 rdf:type schema:PublicationIssue
84 N99e34417b0294b1496ae3a1bd6e61c78 rdf:first sg:person.01225472064.17
85 rdf:rest N236bfeb1eb384a35950b2294c833d813
86 Na9eced39db004353bf0b28fbbb299ecd schema:name doi
87 schema:value 10.1007/s00382-017-3581-5
88 rdf:type schema:PropertyValue
89 Naaa97d162c9a4058af97159e7d67b4ef schema:name Springer Nature - SN SciGraph project
90 rdf:type schema:Organization
91 Nab03752a129c420bbf922119a4b949db rdf:first sg:person.01025613710.20
92 rdf:rest Nd37aadf787724f41a195fb47aa1eea3d
93 Nb9a3e03b481a45a594be184078882cc3 rdf:first sg:person.010440322006.24
94 rdf:rest Nab03752a129c420bbf922119a4b949db
95 Nd37aadf787724f41a195fb47aa1eea3d rdf:first sg:person.011357255273.05
96 rdf:rest N99e34417b0294b1496ae3a1bd6e61c78
97 Nfc30178aa32c4be1b46649d0db2c05de schema:volumeNumber 50
98 rdf:type schema:PublicationVolume
99 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
100 schema:name Earth Sciences
101 rdf:type schema:DefinedTerm
102 anzsrc-for:0406 schema:inDefinedTermSet anzsrc-for:
103 schema:name Physical Geography and Environmental Geoscience
104 rdf:type schema:DefinedTerm
105 sg:grant.3560385 http://pending.schema.org/fundedItem sg:pub.10.1007/s00382-017-3581-5
106 rdf:type schema:MonetaryGrant
107 sg:journal.1049631 schema:issn 0930-7575
108 1432-0894
109 schema:name Climate Dynamics
110 rdf:type schema:Periodical
111 sg:person.01025613710.20 schema:affiliation https://www.grid.ac/institutes/grid.4305.2
112 schema:familyName Tett
113 schema:givenName Simon F. B.
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025613710.20
115 rdf:type schema:Person
116 sg:person.010440322006.24 schema:affiliation https://www.grid.ac/institutes/grid.4305.2
117 schema:familyName Roach
118 schema:givenName Lettie A.
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010440322006.24
120 rdf:type schema:Person
121 sg:person.011357255273.05 schema:affiliation https://www.grid.ac/institutes/grid.4305.2
122 schema:familyName Mineter
123 schema:givenName Michael J.
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011357255273.05
125 rdf:type schema:Person
126 sg:person.01225472064.17 schema:affiliation https://www.grid.ac/institutes/grid.17100.37
127 schema:familyName Yamazaki
128 schema:givenName Kuniko
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01225472064.17
130 rdf:type schema:Person
131 sg:pub.10.1007/s00382-005-0040-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040068866
132 https://doi.org/10.1007/s00382-005-0040-5
133 rdf:type schema:CreativeWork
134 sg:pub.10.1007/s00382-008-0486-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041631164
135 https://doi.org/10.1007/s00382-008-0486-3
136 rdf:type schema:CreativeWork
137 sg:pub.10.1007/s00382-010-0934-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044512827
138 https://doi.org/10.1007/s00382-010-0934-8
139 rdf:type schema:CreativeWork
140 sg:pub.10.1007/s00382-012-1512-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1000167629
141 https://doi.org/10.1007/s00382-012-1512-z
142 rdf:type schema:CreativeWork
143 sg:pub.10.1007/s003820050010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015242699
144 https://doi.org/10.1007/s003820050010
145 rdf:type schema:CreativeWork
146 sg:pub.10.1038/nature02771 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036499414
147 https://doi.org/10.1038/nature02771
148 rdf:type schema:CreativeWork
149 sg:pub.10.1038/nature03301 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030001284
150 https://doi.org/10.1038/nature03301
151 rdf:type schema:CreativeWork
152 sg:pub.10.1038/nclimate2203 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048901707
153 https://doi.org/10.1038/nclimate2203
154 rdf:type schema:CreativeWork
155 sg:pub.10.1038/ngeo2040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033854671
156 https://doi.org/10.1038/ngeo2040
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1002/2013jc009705 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011266568
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1002/2015gl066928 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018140776
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1002/joc.1260 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020518060
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/j.ocemod.2006.03.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035337495
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/j.ocemod.2013.12.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030503687
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1017/cbo9781107415324.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1089458580
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1029/2002jd002670 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020320930
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1029/2005jc003033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037372570
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1029/2006jc003641 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005218070
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1029/2007gl029914 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001084403
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1029/2007gl031209 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041812338
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1029/2011jc007084 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019659838
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1029/2012gl051432 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037100698
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1029/2012gl052676 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014019351
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1029/2012ms000154 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032078983
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1029/92jc00239 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026004856
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1029/94jc02393 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032728028
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1098/rsta.1995.0064 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032016885
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1098/rsta.2014.0164 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021254329
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1126/science.354.6311.401 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062619638
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1175/1520-0493(1969)097<0806:catoc>2.3.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063452143
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1175/2007jcli1688.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031705799
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1175/2009bams2607.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063454096
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1175/bams-d-15-00135.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050792599
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1175/jcli-d-12-00068.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013785552
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1175/jcli-d-12-00595.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053024445
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1175/jcli3430.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023017918
211 rdf:type schema:CreativeWork
212 https://doi.org/10.3189/002214311796406095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032897565
213 rdf:type schema:CreativeWork
214 https://doi.org/10.5194/gmd-2016-305 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083423887
215 rdf:type schema:CreativeWork
216 https://doi.org/10.5194/gmd-8-3579-2015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009908613
217 rdf:type schema:CreativeWork
218 https://doi.org/10.5194/tc-6-143-2012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015580531
219 rdf:type schema:CreativeWork
220 https://doi.org/10.5194/tc-7-451-2013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014961464
221 rdf:type schema:CreativeWork
222 https://doi.org/10.5194/tc-8-229-2014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038145714
223 rdf:type schema:CreativeWork
224 https://doi.org/10.5194/tc-9-399-2015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003255020
225 rdf:type schema:CreativeWork
226 https://www.grid.ac/institutes/grid.17100.37 schema:alternateName Met Office
227 schema:name Met Office, Fitzroy Road, EX1 3PB, Devon, Exeter, UK
228 School of GeoSciences, University of Edinburgh, Crew Building, Alexander Crum Brown Road, EH9 3FF, Edinburgh, UK
229 rdf:type schema:Organization
230 https://www.grid.ac/institutes/grid.4305.2 schema:alternateName University of Edinburgh
231 schema:name National Institute of Water and Atmospheric Research, 301 Evans Bay Parade, Greta Point, Wellington, New Zealand
232 School of GeoSciences, University of Edinburgh, Crew Building, Alexander Crum Brown Road, EH9 3FF, Edinburgh, UK
233 rdf:type schema:Organization
234 https://www.grid.ac/institutes/grid.5335.0 schema:alternateName University of Cambridge
235 schema:name Centre for Atmospheric Science, Department of Chemistry, University of Cambridge, Lensfield Road, CB2 1EW, Cambridge, UK
236 School of GeoSciences, University of Edinburgh, Crew Building, Alexander Crum Brown Road, EH9 3FF, Edinburgh, UK
237 rdf:type schema:Organization
 




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


...