Atmosphere-land cover feedbacks alter the response of surface temperature to CO2 forcing in the western United States View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2005-01-18

AUTHORS

Noah S. Diffenbaugh

ABSTRACT

In order to test the sensitivity of regional climate to regional-scale atmosphere-land cover feedbacks, we have employed a regional climate model asynchronously coupled to an equilibrium vegetation model, focusing on the western United States as a case study. CO2-induced atmosphere-land cover feedbacks resulted in statistically significant seasonal temperature changes of up to 3.5°C, with land cover change accounting for up to 60% of the total seasonal response to elevated atmospheric CO2 levels. In many areas, such as the Great Basin, albedo acted as the primary control on changes in surface temperature. Along the central coast of California, soil moisture effects magnified the temperature response in JJA and SON, with negative surface soil moisture anomalies accompanied by negative evaporation anomalies, decreasing latent heat flux and further increasing surface temperature. Additionally, negative temperature anomalies were calculated at high elevation in California and Oregon in DJF, MAM and SON, indicating that future warming of these sensitive areas could be mitigated by changes in vegetation distribution and an associated muting of winter snow-temperature feedbacks. Precipitation anomalies were almost universally not statistically significant, and very little change in mean seasonal atmospheric circulation occurred in response to atmosphere-land cover feedbacks. Further, the mean regional temperature sensitivity to regional-scale land cover feedbacks did not exceed the large-scale sensitivity calculated elsewhere, indicating that spatial heterogeneity does not introduce non-linearities in the response of regional climate to CO2-induced atmosphere-land cover feedbacks. More... »

PAGES

237-251

References to SciGraph publications

  • 2003-11-14. European climate in the late twenty-first century: regional simulations with two driving global models and two forcing scenarios in CLIMATE DYNAMICS
  • 2001-12. Climate change due to greenhouse effects in China as simulated by a regional climate model in ADVANCES IN ATMOSPHERIC SCIENCES
  • 2003-03. Sensitivity of the Iberian Peninsula climate to a land degradation in CLIMATE DYNAMICS
  • 2001-07. Modeling Global Climate–Vegetation Interactions in a Doubled CO2 World in CLIMATIC CHANGE
  • 2002-11. Summer dryness in a warmer climate: a process study with a regional climate model in CLIMATE DYNAMICS
  • 2002-03. Ecological responses to recent climate change in NATURE
  • 2000-05. Simulated influences of Lake Agassiz on the climate of central North America 11,000 years ago in NATURE
  • 2003-08-23. Current and perturbed climate as simulated by the second-generation Canadian Regional Climate Model (CRCM-II) over northwestern North America in CLIMATE DYNAMICS
  • 1996-05. Variability of global biome patterns as a function of initial and boundary conditions in a climate model in CLIMATE DYNAMICS
  • 2003-01. Fingerprints of global warming on wild animals and plants in NATURE
  • 2000-09. Mid-Holocene greening of the Sahara: first results of the GAIM 6000 year BP Experiment with two asynchronously coupled atmosphere/biome models in CLIMATE DYNAMICS
  • 2001-02. Global-Scale Relationships between Climate and the Dengue Fever Vector, Aedes Aegypti in CLIMATIC CHANGE
  • 2000-12. Role of sea surface temperature and soil-moisture feedback in the 1998 Oklahoma–Texas drought in NATURE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00382-004-0503-0

    DOI

    http://dx.doi.org/10.1007/s00382-004-0503-0

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1040294464


    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/2008/0406", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Physical Geography and Environmental Geoscience", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Purdue Climate Change Research Center and Department of Earth and Atmospheric Sciences, Purdue University, 550 Stadium Mall Drive, 47907-2051, West Lafayette, IN", 
              "id": "http://www.grid.ac/institutes/grid.169077.e", 
              "name": [
                "Department of Earth Sciences, University of California, Santa Cruz, 1156 High Street, 95064, Santa Cruz, CA, USA", 
                "Purdue Climate Change Research Center and Department of Earth and Atmospheric Sciences, Purdue University, 550 Stadium Mall Drive, 47907-2051, West Lafayette, IN"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Diffenbaugh", 
            "givenName": "Noah S.", 
            "id": "sg:person.07755742371.03", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07755742371.03"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/nature01333", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004699563", 
              "https://doi.org/10.1038/nature01333"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00376-001-0036-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032752596", 
              "https://doi.org/10.1007/s00376-001-0036-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/416389a", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015998984", 
              "https://doi.org/10.1038/416389a"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-002-0258-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019772315", 
              "https://doi.org/10.1007/s00382-002-0258-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-003-0342-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003355281", 
              "https://doi.org/10.1007/s00382-003-0342-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1010609620103", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050730879", 
              "https://doi.org/10.1023/a:1010609620103"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/35048548", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026528331", 
              "https://doi.org/10.1038/35048548"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1010717502442", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022510580", 
              "https://doi.org/10.1023/a:1010717502442"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00211683", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050733545", 
              "https://doi.org/10.1007/bf00211683"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-002-0285-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1086217345", 
              "https://doi.org/10.1007/s00382-002-0285-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s003820000074", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042765887", 
              "https://doi.org/10.1007/s003820000074"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-003-0365-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012281891", 
              "https://doi.org/10.1007/s00382-003-0365-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/35012581", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031428542", 
              "https://doi.org/10.1038/35012581"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2005-01-18", 
        "datePublishedReg": "2005-01-18", 
        "description": "In order to test the sensitivity of regional climate to regional-scale atmosphere-land cover feedbacks, we have employed a regional climate model asynchronously coupled to an equilibrium vegetation model, focusing on the western United States as a case study. CO2-induced atmosphere-land cover feedbacks resulted in statistically significant seasonal temperature changes of up to 3.5\u00b0C, with land cover change accounting for up to 60% of the total seasonal response to elevated atmospheric CO2 levels. In many areas, such as the Great Basin, albedo acted as the primary control on changes in surface temperature. Along the central coast of California, soil moisture effects magnified the temperature response in JJA and SON, with negative surface soil moisture anomalies accompanied by negative evaporation anomalies, decreasing latent heat flux and further increasing surface temperature. Additionally, negative temperature anomalies were calculated at high elevation in California and Oregon in DJF, MAM and SON, indicating that future warming of these sensitive areas could be mitigated by changes in vegetation distribution and an associated muting of winter snow-temperature feedbacks. Precipitation anomalies were almost universally not statistically significant, and very little change in mean seasonal atmospheric circulation occurred in response to atmosphere-land cover feedbacks. Further, the mean regional temperature sensitivity to regional-scale land cover feedbacks did not exceed the large-scale sensitivity calculated elsewhere, indicating that spatial heterogeneity does not introduce non-linearities in the response of regional climate to CO2-induced atmosphere-land cover feedbacks.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s00382-004-0503-0", 
        "isAccessibleForFree": false, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.3038933", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1049631", 
            "issn": [
              "0930-7575", 
              "1432-0894"
            ], 
            "name": "Climate Dynamics", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2-3", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "24"
          }
        ], 
        "keywords": [
          "western United States", 
          "surface temperature", 
          "regional climate", 
          "surface soil moisture anomalies", 
          "equilibrium vegetation model", 
          "seasonal atmospheric circulation", 
          "regional climate model", 
          "soil moisture anomalies", 
          "negative temperature anomalies", 
          "latent heat flux", 
          "elevated atmospheric CO2 levels", 
          "large-scale sensitivity", 
          "atmospheric CO2 levels", 
          "soil moisture effects", 
          "land cover change", 
          "evaporation anomalies", 
          "seasonal temperature changes", 
          "moisture anomalies", 
          "precipitation anomalies", 
          "atmospheric circulation", 
          "climate models", 
          "temperature anomalies", 
          "future warming", 
          "Great Basin", 
          "vegetation model", 
          "primary control", 
          "vegetation distribution", 
          "seasonal response", 
          "cover change", 
          "higher elevations", 
          "CO2 levels", 
          "central coast", 
          "heat flux", 
          "anomalies", 
          "spatial heterogeneity", 
          "temperature changes", 
          "temperature response", 
          "climate", 
          "moisture effects", 
          "sensitive areas", 
          "CO2", 
          "California", 
          "DJF", 
          "JJA", 
          "basin", 
          "albedo", 
          "little change", 
          "warming", 
          "coast", 
          "temperature sensitivity", 
          "area", 
          "United States", 
          "circulation", 
          "flux", 
          "Oregon", 
          "temperature", 
          "feedback", 
          "changes", 
          "case study", 
          "MAM", 
          "elevation", 
          "muting", 
          "model", 
          "distribution", 
          "heterogeneity", 
          "response", 
          "sensitivity", 
          "state", 
          "order", 
          "study", 
          "levels", 
          "effect", 
          "son", 
          "control"
        ], 
        "name": "Atmosphere-land cover feedbacks alter the response of surface temperature to CO2 forcing in the western United States", 
        "pagination": "237-251", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1040294464"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00382-004-0503-0"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00382-004-0503-0", 
          "https://app.dimensions.ai/details/publication/pub.1040294464"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-11-24T20:51", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221124/entities/gbq_results/article/article_391.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s00382-004-0503-0"
      }
    ]
     

    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/s00382-004-0503-0'

    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/s00382-004-0503-0'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00382-004-0503-0'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00382-004-0503-0'


     

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

    190 TRIPLES      21 PREDICATES      112 URIs      90 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00382-004-0503-0 schema:about anzsrc-for:04
    2 anzsrc-for:0401
    3 anzsrc-for:0406
    4 schema:author N20c7c30113f64664a6e46755cee5d8b5
    5 schema:citation sg:pub.10.1007/bf00211683
    6 sg:pub.10.1007/s00376-001-0036-y
    7 sg:pub.10.1007/s00382-002-0258-4
    8 sg:pub.10.1007/s00382-002-0285-1
    9 sg:pub.10.1007/s00382-003-0342-4
    10 sg:pub.10.1007/s00382-003-0365-x
    11 sg:pub.10.1007/s003820000074
    12 sg:pub.10.1023/a:1010609620103
    13 sg:pub.10.1023/a:1010717502442
    14 sg:pub.10.1038/35012581
    15 sg:pub.10.1038/35048548
    16 sg:pub.10.1038/416389a
    17 sg:pub.10.1038/nature01333
    18 schema:datePublished 2005-01-18
    19 schema:datePublishedReg 2005-01-18
    20 schema:description In order to test the sensitivity of regional climate to regional-scale atmosphere-land cover feedbacks, we have employed a regional climate model asynchronously coupled to an equilibrium vegetation model, focusing on the western United States as a case study. CO2-induced atmosphere-land cover feedbacks resulted in statistically significant seasonal temperature changes of up to 3.5°C, with land cover change accounting for up to 60% of the total seasonal response to elevated atmospheric CO2 levels. In many areas, such as the Great Basin, albedo acted as the primary control on changes in surface temperature. Along the central coast of California, soil moisture effects magnified the temperature response in JJA and SON, with negative surface soil moisture anomalies accompanied by negative evaporation anomalies, decreasing latent heat flux and further increasing surface temperature. Additionally, negative temperature anomalies were calculated at high elevation in California and Oregon in DJF, MAM and SON, indicating that future warming of these sensitive areas could be mitigated by changes in vegetation distribution and an associated muting of winter snow-temperature feedbacks. Precipitation anomalies were almost universally not statistically significant, and very little change in mean seasonal atmospheric circulation occurred in response to atmosphere-land cover feedbacks. Further, the mean regional temperature sensitivity to regional-scale land cover feedbacks did not exceed the large-scale sensitivity calculated elsewhere, indicating that spatial heterogeneity does not introduce non-linearities in the response of regional climate to CO2-induced atmosphere-land cover feedbacks.
    21 schema:genre article
    22 schema:isAccessibleForFree false
    23 schema:isPartOf N6201c01b8f764013874cd11422675da3
    24 N64fdb5e4ef7245d893d995a7bf0dd98a
    25 sg:journal.1049631
    26 schema:keywords CO2
    27 CO2 levels
    28 California
    29 DJF
    30 Great Basin
    31 JJA
    32 MAM
    33 Oregon
    34 United States
    35 albedo
    36 anomalies
    37 area
    38 atmospheric CO2 levels
    39 atmospheric circulation
    40 basin
    41 case study
    42 central coast
    43 changes
    44 circulation
    45 climate
    46 climate models
    47 coast
    48 control
    49 cover change
    50 distribution
    51 effect
    52 elevated atmospheric CO2 levels
    53 elevation
    54 equilibrium vegetation model
    55 evaporation anomalies
    56 feedback
    57 flux
    58 future warming
    59 heat flux
    60 heterogeneity
    61 higher elevations
    62 land cover change
    63 large-scale sensitivity
    64 latent heat flux
    65 levels
    66 little change
    67 model
    68 moisture anomalies
    69 moisture effects
    70 muting
    71 negative temperature anomalies
    72 order
    73 precipitation anomalies
    74 primary control
    75 regional climate
    76 regional climate model
    77 response
    78 seasonal atmospheric circulation
    79 seasonal response
    80 seasonal temperature changes
    81 sensitive areas
    82 sensitivity
    83 soil moisture anomalies
    84 soil moisture effects
    85 son
    86 spatial heterogeneity
    87 state
    88 study
    89 surface soil moisture anomalies
    90 surface temperature
    91 temperature
    92 temperature anomalies
    93 temperature changes
    94 temperature response
    95 temperature sensitivity
    96 vegetation distribution
    97 vegetation model
    98 warming
    99 western United States
    100 schema:name Atmosphere-land cover feedbacks alter the response of surface temperature to CO2 forcing in the western United States
    101 schema:pagination 237-251
    102 schema:productId N4081be5982ed4ec78756c8726393fee1
    103 Nd3c64ae48e5242758ab9f5e83df1ff29
    104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040294464
    105 https://doi.org/10.1007/s00382-004-0503-0
    106 schema:sdDatePublished 2022-11-24T20:51
    107 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    108 schema:sdPublisher N162f41e61a964a9ea83b98c1426e3d69
    109 schema:url https://doi.org/10.1007/s00382-004-0503-0
    110 sgo:license sg:explorer/license/
    111 sgo:sdDataset articles
    112 rdf:type schema:ScholarlyArticle
    113 N162f41e61a964a9ea83b98c1426e3d69 schema:name Springer Nature - SN SciGraph project
    114 rdf:type schema:Organization
    115 N20c7c30113f64664a6e46755cee5d8b5 rdf:first sg:person.07755742371.03
    116 rdf:rest rdf:nil
    117 N4081be5982ed4ec78756c8726393fee1 schema:name doi
    118 schema:value 10.1007/s00382-004-0503-0
    119 rdf:type schema:PropertyValue
    120 N6201c01b8f764013874cd11422675da3 schema:volumeNumber 24
    121 rdf:type schema:PublicationVolume
    122 N64fdb5e4ef7245d893d995a7bf0dd98a schema:issueNumber 2-3
    123 rdf:type schema:PublicationIssue
    124 Nd3c64ae48e5242758ab9f5e83df1ff29 schema:name dimensions_id
    125 schema:value pub.1040294464
    126 rdf:type schema:PropertyValue
    127 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
    128 schema:name Earth Sciences
    129 rdf:type schema:DefinedTerm
    130 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
    131 schema:name Atmospheric Sciences
    132 rdf:type schema:DefinedTerm
    133 anzsrc-for:0406 schema:inDefinedTermSet anzsrc-for:
    134 schema:name Physical Geography and Environmental Geoscience
    135 rdf:type schema:DefinedTerm
    136 sg:grant.3038933 http://pending.schema.org/fundedItem sg:pub.10.1007/s00382-004-0503-0
    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.07755742371.03 schema:affiliation grid-institutes:grid.169077.e
    144 schema:familyName Diffenbaugh
    145 schema:givenName Noah S.
    146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07755742371.03
    147 rdf:type schema:Person
    148 sg:pub.10.1007/bf00211683 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050733545
    149 https://doi.org/10.1007/bf00211683
    150 rdf:type schema:CreativeWork
    151 sg:pub.10.1007/s00376-001-0036-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1032752596
    152 https://doi.org/10.1007/s00376-001-0036-y
    153 rdf:type schema:CreativeWork
    154 sg:pub.10.1007/s00382-002-0258-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019772315
    155 https://doi.org/10.1007/s00382-002-0258-4
    156 rdf:type schema:CreativeWork
    157 sg:pub.10.1007/s00382-002-0285-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086217345
    158 https://doi.org/10.1007/s00382-002-0285-1
    159 rdf:type schema:CreativeWork
    160 sg:pub.10.1007/s00382-003-0342-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003355281
    161 https://doi.org/10.1007/s00382-003-0342-4
    162 rdf:type schema:CreativeWork
    163 sg:pub.10.1007/s00382-003-0365-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1012281891
    164 https://doi.org/10.1007/s00382-003-0365-x
    165 rdf:type schema:CreativeWork
    166 sg:pub.10.1007/s003820000074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042765887
    167 https://doi.org/10.1007/s003820000074
    168 rdf:type schema:CreativeWork
    169 sg:pub.10.1023/a:1010609620103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050730879
    170 https://doi.org/10.1023/a:1010609620103
    171 rdf:type schema:CreativeWork
    172 sg:pub.10.1023/a:1010717502442 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022510580
    173 https://doi.org/10.1023/a:1010717502442
    174 rdf:type schema:CreativeWork
    175 sg:pub.10.1038/35012581 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031428542
    176 https://doi.org/10.1038/35012581
    177 rdf:type schema:CreativeWork
    178 sg:pub.10.1038/35048548 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026528331
    179 https://doi.org/10.1038/35048548
    180 rdf:type schema:CreativeWork
    181 sg:pub.10.1038/416389a schema:sameAs https://app.dimensions.ai/details/publication/pub.1015998984
    182 https://doi.org/10.1038/416389a
    183 rdf:type schema:CreativeWork
    184 sg:pub.10.1038/nature01333 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004699563
    185 https://doi.org/10.1038/nature01333
    186 rdf:type schema:CreativeWork
    187 grid-institutes:grid.169077.e schema:alternateName Purdue Climate Change Research Center and Department of Earth and Atmospheric Sciences, Purdue University, 550 Stadium Mall Drive, 47907-2051, West Lafayette, IN
    188 schema:name Department of Earth Sciences, University of California, Santa Cruz, 1156 High Street, 95064, Santa Cruz, CA, USA
    189 Purdue Climate Change Research Center and Department of Earth and Atmospheric Sciences, Purdue University, 550 Stadium Mall Drive, 47907-2051, West Lafayette, IN
    190 rdf:type schema:Organization
     




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


    ...