Robust intensification of hydroclimatic intensity over East Asia from multi-model ensemble regional projections View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-08

AUTHORS

Eun-Soon Im, Yeon-Woo Choi, Joong-Bae Ahn

ABSTRACT

This study assesses the hydroclimatic response to global warming over East Asia from multi-model ensemble regional projections. Four different regional climate models (RCMs), namely, WRF, HadGEM3-RA, RegCM4, and GRIMs, are used for dynamical downscaling of the Hadley Centre Global Environmental Model version 2–Atmosphere and Ocean (HadGEM2-AO) global projections forced by the representative concentration pathway (RCP4.5 and RCP8.5) scenarios. Annual mean precipitation, hydroclimatic intensity index (HY-INT), and wet and dry extreme indices are analyzed to identify the robust behavior of hydroclimatic change in response to enhanced emission scenarios using high-resolution (12.5 km) and long-term (1981–2100) daily precipitation. Ensemble projections exhibit increased hydroclimatic intensity across the entire domain and under both the RCP scenarios. However, a geographical pattern with predominantly intensified HY-INT does not fully emerge in the mean precipitation change because HY-INT is tied to the changes in the precipitation characteristics rather than to those in the precipitation amount. All projections show an enhancement of high intensity precipitation and a reduction of weak intensity precipitation, which lead to a possible shift in hydroclimatic regime prone to an increase of both wet and dry extremes. In general, projections forced by the RCP8.5 scenario tend to produce a much stronger response than do those by the RCP4.5 scenario. However, the temperature increase under the RCP4.5 scenario is sufficiently large to induce significant changes in hydroclimatic intensity, despite the relatively uncertain change in mean precipitation. Likewise, the forced responses of HY-INT and the two extreme indices are more robust than that of mean precipitation, in terms of the statistical significance and model agreement. More... »

PAGES

1241-1254

References to SciGraph publications

  • 2007-05. Gradient in the climate change signal of European discharge predicted by a multi-model ensemble in CLIMATIC CHANGE
  • 2002-09. Constraints on future changes in climate and the hydrologic cycle in NATURE
  • 2012-11. An assessment of future dryness over Korea based on the ECHAM5-RegCM3 model chain under A1B emission scenario in ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES
  • 2014-07. Changes in extremes and hydroclimatic regimes in the CREMA ensemble projections in CLIMATIC CHANGE
  • 2015-05. Changes in weather and climate extremes over Korea and possible causes: A review in ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES
  • 2007-10-11. Attribution of observed surface humidity changes to human influence in NATURE
  • 2006-09. On the role of resolution and topography in the simulation of East Asia precipitation in THEORETICAL AND APPLIED CLIMATOLOGY
  • 2014-08. Potential for added value to downscaled climate extremes over Korea by increased resolution of a regional climate model in THEORETICAL AND APPLIED CLIMATOLOGY
  • 2013-11. Climate change in the 21st century simulated by HadGEM2-AO under representative concentration pathways in ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES
  • 2010-02-11. The next generation of scenarios for climate change research and assessment in NATURE
  • 2013-02. The Global/Regional Integrated Model system (GRIMs) in ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES
  • 2016-04. Evaluation of multiple regional climate models for summer climate extremes over East Asia in CLIMATE DYNAMICS
  • 2007-05. An intercomparison of regional climate simulations for Europe: assessing uncertainties in model projections in CLIMATIC CHANGE
  • 2014-02. Assessment of future climate change over East Asia due to the RCP scenarios downscaled by GRIMs-RMP in CLIMATE DYNAMICS
  • 2011-02. Human contribution to more-intense precipitation extremes in NATURE
  • 2014-05. Evaluation of delta change and bias correction methods for future daily precipitation: intermodel cross-validation using ENSEMBLES simulations in CLIMATE DYNAMICS
  • 2012-02. Potential increase of flood hazards in Korea due to global warming from a high-resolution regional climate simulation in ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00704-016-1846-2

    DOI

    http://dx.doi.org/10.1007/s00704-016-1846-2

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1035750258


    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/2008/0401", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Atmospheric Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/04", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Earth Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Singapore-MIT Alliance for Research and Technology", 
              "id": "https://www.grid.ac/institutes/grid.429485.6", 
              "name": [
                "Singapore-MIT Alliance for Research and Technology (SMART), Center for Environmental Sensing and Modeling (CENSAM), Singapore, Singapore"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Im", 
            "givenName": "Eun-Soon", 
            "id": "sg:person.011323725677.30", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011323725677.30"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Pusan National University", 
              "id": "https://www.grid.ac/institutes/grid.262229.f", 
              "name": [
                "Division of Earth Environmental System, Pusan National University, Jangjeon 2-dong, Geumjeong-gu, 609-735, Busan, South Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Choi", 
            "givenName": "Yeon-Woo", 
            "id": "sg:person.011430350257.45", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011430350257.45"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Pusan National University", 
              "id": "https://www.grid.ac/institutes/grid.262229.f", 
              "name": [
                "Division of Earth Environmental System, Pusan National University, Jangjeon 2-dong, Geumjeong-gu, 609-735, Busan, South Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ahn", 
            "givenName": "Joong-Bae", 
            "id": "sg:person.013522113526.78", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013522113526.78"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/j.ejrh.2015.06.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000615369"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-014-2130-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001340989", 
              "https://doi.org/10.1007/s00382-014-2130-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/2008jcli2082.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001418457"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-015-2713-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001971608", 
              "https://doi.org/10.1007/s00382-015-2713-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00704-005-0214-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002192542", 
              "https://doi.org/10.1007/s00704-005-0214-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00704-005-0214-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002192542", 
              "https://doi.org/10.1007/s00704-005-0214-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/joc.1362", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005538553"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature08823", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006069800", 
              "https://doi.org/10.1038/nature08823"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature08823", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006069800", 
              "https://doi.org/10.1038/nature08823"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5194/gmd-4-1051-2011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007451883"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/2010jcli3594.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007621023"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-013-1841-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007995856", 
              "https://doi.org/10.1007/s00382-013-1841-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2003gl017130", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011144462"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/jcli3990.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012353608"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10584-014-1117-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012393531", 
              "https://doi.org/10.1007/s10584-014-1117-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/jcli-d-14-00449.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013433899"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/2015jd023853", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014178492"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature06207", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015014641", 
              "https://doi.org/10.1038/nature06207"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/wcc.147", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018192357"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13143-012-0031-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019131839", 
              "https://doi.org/10.1007/s13143-012-0031-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2006gl025779", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019546351"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13143-012-0010-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020163201", 
              "https://doi.org/10.1007/s13143-012-0010-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1525-7541(2003)004<1147:tvgpcp>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023719243"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/jcli-d-13-00599.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024501365"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/2014gl062018", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025546638"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5194/hessd-11-6167-2014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026292304"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/jcli-d-11-00239.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026976580"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13143-015-0066-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027955874", 
              "https://doi.org/10.1007/s13143-015-0066-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13143-013-0053-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028235353", 
              "https://doi.org/10.1007/s13143-013-0053-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature09763", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028595909", 
              "https://doi.org/10.1038/nature09763"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10584-006-9225-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028654584", 
              "https://doi.org/10.1007/s10584-006-9225-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10584-006-9225-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028654584", 
              "https://doi.org/10.1007/s10584-006-9225-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/2009jcli3361.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030337444"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/2011jcli3979.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031978768"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2008gl034126", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033419197"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/jgrd.50877", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034843462"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/2013gl059158", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036870193"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/atmos6050677", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037566383"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10584-006-9228-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037801261", 
              "https://doi.org/10.1007/s10584-006-9228-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1098/rsta.2007.2076", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038869427"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/grl.50420", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043144488"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/2013jd020693", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044361911"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13143-013-0023-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045389378", 
              "https://doi.org/10.1007/s13143-013-0023-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5194/gmdd-4-997-2011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046278552"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature01092", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046916950", 
              "https://doi.org/10.1038/nature01092"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature01092", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046916950", 
              "https://doi.org/10.1038/nature01092"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature01092", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046916950", 
              "https://doi.org/10.1038/nature01092"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/joc.4039", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049260284"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00704-013-1034-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049746054", 
              "https://doi.org/10.1007/s00704-013-1034-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1256/qj.04.101", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051046355"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1256/qj.04.101", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051046355"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/jcli-d-14-00504.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051518576"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/bams-d-11-00094.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051805105"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/16742834.2015.11447252", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058410150"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1127/0941-2948/2008/0300", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062699752"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3354/cr01018", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071158815"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3354/cr01084", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071158884"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3354/cr01292", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071159135"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2017-08", 
        "datePublishedReg": "2017-08-01", 
        "description": "This study assesses the hydroclimatic response to global warming over East Asia from multi-model ensemble regional projections. Four different regional climate models (RCMs), namely, WRF, HadGEM3-RA, RegCM4, and GRIMs, are used for dynamical downscaling of the Hadley Centre Global Environmental Model version 2\u2013Atmosphere and Ocean (HadGEM2-AO) global projections forced by the representative concentration pathway (RCP4.5 and RCP8.5) scenarios. Annual mean precipitation, hydroclimatic intensity index (HY-INT), and wet and dry extreme indices are analyzed to identify the robust behavior of hydroclimatic change in response to enhanced emission scenarios using high-resolution (12.5 km) and long-term (1981\u20132100) daily precipitation. Ensemble projections exhibit increased hydroclimatic intensity across the entire domain and under both the RCP scenarios. However, a geographical pattern with predominantly intensified HY-INT does not fully emerge in the mean precipitation change because HY-INT is tied to the changes in the precipitation characteristics rather than to those in the precipitation amount. All projections show an enhancement of high intensity precipitation and a reduction of weak intensity precipitation, which lead to a possible shift in hydroclimatic regime prone to an increase of both wet and dry extremes. In general, projections forced by the RCP8.5 scenario tend to produce a much stronger response than do those by the RCP4.5 scenario. However, the temperature increase under the RCP4.5 scenario is sufficiently large to induce significant changes in hydroclimatic intensity, despite the relatively uncertain change in mean precipitation. Likewise, the forced responses of HY-INT and the two extreme indices are more robust than that of mean precipitation, in terms of the statistical significance and model agreement.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00704-016-1846-2", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1086664", 
            "issn": [
              "0177-798X", 
              "1434-4483"
            ], 
            "name": "Theoretical and Applied Climatology", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "3-4", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "129"
          }
        ], 
        "name": "Robust intensification of hydroclimatic intensity over East Asia from multi-model ensemble regional projections", 
        "pagination": "1241-1254", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "aa4d2d76546779ea1b93477075fe1dd8712f3d08e34da946983d4c8aee04be76"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00704-016-1846-2"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1035750258"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00704-016-1846-2", 
          "https://app.dimensions.ai/details/publication/pub.1035750258"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T12:39", 
        "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/v90/0000000363_0000000363/records_70043_00000001.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs00704-016-1846-2"
      }
    ]
     

    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/s00704-016-1846-2'

    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/s00704-016-1846-2'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00704-016-1846-2'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00704-016-1846-2'


     

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

    251 TRIPLES      21 PREDICATES      79 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00704-016-1846-2 schema:about anzsrc-for:04
    2 anzsrc-for:0401
    3 schema:author N8bedc642fe5549158aa4f88e3780894c
    4 schema:citation sg:pub.10.1007/s00382-013-1841-6
    5 sg:pub.10.1007/s00382-014-2130-8
    6 sg:pub.10.1007/s00382-015-2713-z
    7 sg:pub.10.1007/s00704-005-0214-4
    8 sg:pub.10.1007/s00704-013-1034-6
    9 sg:pub.10.1007/s10584-006-9225-0
    10 sg:pub.10.1007/s10584-006-9228-x
    11 sg:pub.10.1007/s10584-014-1117-0
    12 sg:pub.10.1007/s13143-012-0010-x
    13 sg:pub.10.1007/s13143-012-0031-5
    14 sg:pub.10.1007/s13143-013-0023-0
    15 sg:pub.10.1007/s13143-013-0053-7
    16 sg:pub.10.1007/s13143-015-0066-5
    17 sg:pub.10.1038/nature01092
    18 sg:pub.10.1038/nature06207
    19 sg:pub.10.1038/nature08823
    20 sg:pub.10.1038/nature09763
    21 https://doi.org/10.1002/2013gl059158
    22 https://doi.org/10.1002/2013jd020693
    23 https://doi.org/10.1002/2014gl062018
    24 https://doi.org/10.1002/2015jd023853
    25 https://doi.org/10.1002/grl.50420
    26 https://doi.org/10.1002/jgrd.50877
    27 https://doi.org/10.1002/joc.1362
    28 https://doi.org/10.1002/joc.4039
    29 https://doi.org/10.1002/wcc.147
    30 https://doi.org/10.1016/j.ejrh.2015.06.005
    31 https://doi.org/10.1029/2003gl017130
    32 https://doi.org/10.1029/2006gl025779
    33 https://doi.org/10.1029/2008gl034126
    34 https://doi.org/10.1080/16742834.2015.11447252
    35 https://doi.org/10.1098/rsta.2007.2076
    36 https://doi.org/10.1127/0941-2948/2008/0300
    37 https://doi.org/10.1175/1525-7541(2003)004<1147:tvgpcp>2.0.co;2
    38 https://doi.org/10.1175/2008jcli2082.1
    39 https://doi.org/10.1175/2009jcli3361.1
    40 https://doi.org/10.1175/2010jcli3594.1
    41 https://doi.org/10.1175/2011jcli3979.1
    42 https://doi.org/10.1175/bams-d-11-00094.1
    43 https://doi.org/10.1175/jcli-d-11-00239.1
    44 https://doi.org/10.1175/jcli-d-13-00599.1
    45 https://doi.org/10.1175/jcli-d-14-00449.1
    46 https://doi.org/10.1175/jcli-d-14-00504.1
    47 https://doi.org/10.1175/jcli3990.1
    48 https://doi.org/10.1256/qj.04.101
    49 https://doi.org/10.3354/cr01018
    50 https://doi.org/10.3354/cr01084
    51 https://doi.org/10.3354/cr01292
    52 https://doi.org/10.3390/atmos6050677
    53 https://doi.org/10.5194/gmd-4-1051-2011
    54 https://doi.org/10.5194/gmdd-4-997-2011
    55 https://doi.org/10.5194/hessd-11-6167-2014
    56 schema:datePublished 2017-08
    57 schema:datePublishedReg 2017-08-01
    58 schema:description This study assesses the hydroclimatic response to global warming over East Asia from multi-model ensemble regional projections. Four different regional climate models (RCMs), namely, WRF, HadGEM3-RA, RegCM4, and GRIMs, are used for dynamical downscaling of the Hadley Centre Global Environmental Model version 2–Atmosphere and Ocean (HadGEM2-AO) global projections forced by the representative concentration pathway (RCP4.5 and RCP8.5) scenarios. Annual mean precipitation, hydroclimatic intensity index (HY-INT), and wet and dry extreme indices are analyzed to identify the robust behavior of hydroclimatic change in response to enhanced emission scenarios using high-resolution (12.5 km) and long-term (1981–2100) daily precipitation. Ensemble projections exhibit increased hydroclimatic intensity across the entire domain and under both the RCP scenarios. However, a geographical pattern with predominantly intensified HY-INT does not fully emerge in the mean precipitation change because HY-INT is tied to the changes in the precipitation characteristics rather than to those in the precipitation amount. All projections show an enhancement of high intensity precipitation and a reduction of weak intensity precipitation, which lead to a possible shift in hydroclimatic regime prone to an increase of both wet and dry extremes. In general, projections forced by the RCP8.5 scenario tend to produce a much stronger response than do those by the RCP4.5 scenario. However, the temperature increase under the RCP4.5 scenario is sufficiently large to induce significant changes in hydroclimatic intensity, despite the relatively uncertain change in mean precipitation. Likewise, the forced responses of HY-INT and the two extreme indices are more robust than that of mean precipitation, in terms of the statistical significance and model agreement.
    59 schema:genre research_article
    60 schema:inLanguage en
    61 schema:isAccessibleForFree true
    62 schema:isPartOf N5f40ec06fd144ef68f2351f0bc82472d
    63 N817118e7cb2d4b109aa87386480e9ef5
    64 sg:journal.1086664
    65 schema:name Robust intensification of hydroclimatic intensity over East Asia from multi-model ensemble regional projections
    66 schema:pagination 1241-1254
    67 schema:productId N21c1b1bebde64b2485027cb66fdee16e
    68 Na17899b8ce5a464081490c8060eb0798
    69 Ncd4f633c927d4153b37e3b7b5a36abda
    70 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035750258
    71 https://doi.org/10.1007/s00704-016-1846-2
    72 schema:sdDatePublished 2019-04-11T12:39
    73 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    74 schema:sdPublisher Nc24937c63e1f4a468ab50f84e980a60e
    75 schema:url https://link.springer.com/10.1007%2Fs00704-016-1846-2
    76 sgo:license sg:explorer/license/
    77 sgo:sdDataset articles
    78 rdf:type schema:ScholarlyArticle
    79 N21c1b1bebde64b2485027cb66fdee16e schema:name readcube_id
    80 schema:value aa4d2d76546779ea1b93477075fe1dd8712f3d08e34da946983d4c8aee04be76
    81 rdf:type schema:PropertyValue
    82 N40bb6dfe897e4999a5de8e3542de3c47 rdf:first sg:person.011430350257.45
    83 rdf:rest Ndbfe5dff7bdf43a5adfde3c713ce9c58
    84 N5f40ec06fd144ef68f2351f0bc82472d schema:issueNumber 3-4
    85 rdf:type schema:PublicationIssue
    86 N817118e7cb2d4b109aa87386480e9ef5 schema:volumeNumber 129
    87 rdf:type schema:PublicationVolume
    88 N8bedc642fe5549158aa4f88e3780894c rdf:first sg:person.011323725677.30
    89 rdf:rest N40bb6dfe897e4999a5de8e3542de3c47
    90 Na17899b8ce5a464081490c8060eb0798 schema:name dimensions_id
    91 schema:value pub.1035750258
    92 rdf:type schema:PropertyValue
    93 Nc24937c63e1f4a468ab50f84e980a60e schema:name Springer Nature - SN SciGraph project
    94 rdf:type schema:Organization
    95 Ncd4f633c927d4153b37e3b7b5a36abda schema:name doi
    96 schema:value 10.1007/s00704-016-1846-2
    97 rdf:type schema:PropertyValue
    98 Ndbfe5dff7bdf43a5adfde3c713ce9c58 rdf:first sg:person.013522113526.78
    99 rdf:rest rdf:nil
    100 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
    101 schema:name Earth Sciences
    102 rdf:type schema:DefinedTerm
    103 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
    104 schema:name Atmospheric Sciences
    105 rdf:type schema:DefinedTerm
    106 sg:journal.1086664 schema:issn 0177-798X
    107 1434-4483
    108 schema:name Theoretical and Applied Climatology
    109 rdf:type schema:Periodical
    110 sg:person.011323725677.30 schema:affiliation https://www.grid.ac/institutes/grid.429485.6
    111 schema:familyName Im
    112 schema:givenName Eun-Soon
    113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011323725677.30
    114 rdf:type schema:Person
    115 sg:person.011430350257.45 schema:affiliation https://www.grid.ac/institutes/grid.262229.f
    116 schema:familyName Choi
    117 schema:givenName Yeon-Woo
    118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011430350257.45
    119 rdf:type schema:Person
    120 sg:person.013522113526.78 schema:affiliation https://www.grid.ac/institutes/grid.262229.f
    121 schema:familyName Ahn
    122 schema:givenName Joong-Bae
    123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013522113526.78
    124 rdf:type schema:Person
    125 sg:pub.10.1007/s00382-013-1841-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007995856
    126 https://doi.org/10.1007/s00382-013-1841-6
    127 rdf:type schema:CreativeWork
    128 sg:pub.10.1007/s00382-014-2130-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001340989
    129 https://doi.org/10.1007/s00382-014-2130-8
    130 rdf:type schema:CreativeWork
    131 sg:pub.10.1007/s00382-015-2713-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1001971608
    132 https://doi.org/10.1007/s00382-015-2713-z
    133 rdf:type schema:CreativeWork
    134 sg:pub.10.1007/s00704-005-0214-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002192542
    135 https://doi.org/10.1007/s00704-005-0214-4
    136 rdf:type schema:CreativeWork
    137 sg:pub.10.1007/s00704-013-1034-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049746054
    138 https://doi.org/10.1007/s00704-013-1034-6
    139 rdf:type schema:CreativeWork
    140 sg:pub.10.1007/s10584-006-9225-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028654584
    141 https://doi.org/10.1007/s10584-006-9225-0
    142 rdf:type schema:CreativeWork
    143 sg:pub.10.1007/s10584-006-9228-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1037801261
    144 https://doi.org/10.1007/s10584-006-9228-x
    145 rdf:type schema:CreativeWork
    146 sg:pub.10.1007/s10584-014-1117-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012393531
    147 https://doi.org/10.1007/s10584-014-1117-0
    148 rdf:type schema:CreativeWork
    149 sg:pub.10.1007/s13143-012-0010-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1020163201
    150 https://doi.org/10.1007/s13143-012-0010-x
    151 rdf:type schema:CreativeWork
    152 sg:pub.10.1007/s13143-012-0031-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019131839
    153 https://doi.org/10.1007/s13143-012-0031-5
    154 rdf:type schema:CreativeWork
    155 sg:pub.10.1007/s13143-013-0023-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045389378
    156 https://doi.org/10.1007/s13143-013-0023-0
    157 rdf:type schema:CreativeWork
    158 sg:pub.10.1007/s13143-013-0053-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028235353
    159 https://doi.org/10.1007/s13143-013-0053-7
    160 rdf:type schema:CreativeWork
    161 sg:pub.10.1007/s13143-015-0066-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027955874
    162 https://doi.org/10.1007/s13143-015-0066-5
    163 rdf:type schema:CreativeWork
    164 sg:pub.10.1038/nature01092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046916950
    165 https://doi.org/10.1038/nature01092
    166 rdf:type schema:CreativeWork
    167 sg:pub.10.1038/nature06207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015014641
    168 https://doi.org/10.1038/nature06207
    169 rdf:type schema:CreativeWork
    170 sg:pub.10.1038/nature08823 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006069800
    171 https://doi.org/10.1038/nature08823
    172 rdf:type schema:CreativeWork
    173 sg:pub.10.1038/nature09763 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028595909
    174 https://doi.org/10.1038/nature09763
    175 rdf:type schema:CreativeWork
    176 https://doi.org/10.1002/2013gl059158 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036870193
    177 rdf:type schema:CreativeWork
    178 https://doi.org/10.1002/2013jd020693 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044361911
    179 rdf:type schema:CreativeWork
    180 https://doi.org/10.1002/2014gl062018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025546638
    181 rdf:type schema:CreativeWork
    182 https://doi.org/10.1002/2015jd023853 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014178492
    183 rdf:type schema:CreativeWork
    184 https://doi.org/10.1002/grl.50420 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043144488
    185 rdf:type schema:CreativeWork
    186 https://doi.org/10.1002/jgrd.50877 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034843462
    187 rdf:type schema:CreativeWork
    188 https://doi.org/10.1002/joc.1362 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005538553
    189 rdf:type schema:CreativeWork
    190 https://doi.org/10.1002/joc.4039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049260284
    191 rdf:type schema:CreativeWork
    192 https://doi.org/10.1002/wcc.147 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018192357
    193 rdf:type schema:CreativeWork
    194 https://doi.org/10.1016/j.ejrh.2015.06.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000615369
    195 rdf:type schema:CreativeWork
    196 https://doi.org/10.1029/2003gl017130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011144462
    197 rdf:type schema:CreativeWork
    198 https://doi.org/10.1029/2006gl025779 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019546351
    199 rdf:type schema:CreativeWork
    200 https://doi.org/10.1029/2008gl034126 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033419197
    201 rdf:type schema:CreativeWork
    202 https://doi.org/10.1080/16742834.2015.11447252 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058410150
    203 rdf:type schema:CreativeWork
    204 https://doi.org/10.1098/rsta.2007.2076 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038869427
    205 rdf:type schema:CreativeWork
    206 https://doi.org/10.1127/0941-2948/2008/0300 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062699752
    207 rdf:type schema:CreativeWork
    208 https://doi.org/10.1175/1525-7541(2003)004<1147:tvgpcp>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023719243
    209 rdf:type schema:CreativeWork
    210 https://doi.org/10.1175/2008jcli2082.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001418457
    211 rdf:type schema:CreativeWork
    212 https://doi.org/10.1175/2009jcli3361.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030337444
    213 rdf:type schema:CreativeWork
    214 https://doi.org/10.1175/2010jcli3594.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007621023
    215 rdf:type schema:CreativeWork
    216 https://doi.org/10.1175/2011jcli3979.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031978768
    217 rdf:type schema:CreativeWork
    218 https://doi.org/10.1175/bams-d-11-00094.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051805105
    219 rdf:type schema:CreativeWork
    220 https://doi.org/10.1175/jcli-d-11-00239.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026976580
    221 rdf:type schema:CreativeWork
    222 https://doi.org/10.1175/jcli-d-13-00599.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024501365
    223 rdf:type schema:CreativeWork
    224 https://doi.org/10.1175/jcli-d-14-00449.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013433899
    225 rdf:type schema:CreativeWork
    226 https://doi.org/10.1175/jcli-d-14-00504.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051518576
    227 rdf:type schema:CreativeWork
    228 https://doi.org/10.1175/jcli3990.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012353608
    229 rdf:type schema:CreativeWork
    230 https://doi.org/10.1256/qj.04.101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051046355
    231 rdf:type schema:CreativeWork
    232 https://doi.org/10.3354/cr01018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071158815
    233 rdf:type schema:CreativeWork
    234 https://doi.org/10.3354/cr01084 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071158884
    235 rdf:type schema:CreativeWork
    236 https://doi.org/10.3354/cr01292 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071159135
    237 rdf:type schema:CreativeWork
    238 https://doi.org/10.3390/atmos6050677 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037566383
    239 rdf:type schema:CreativeWork
    240 https://doi.org/10.5194/gmd-4-1051-2011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007451883
    241 rdf:type schema:CreativeWork
    242 https://doi.org/10.5194/gmdd-4-997-2011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046278552
    243 rdf:type schema:CreativeWork
    244 https://doi.org/10.5194/hessd-11-6167-2014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026292304
    245 rdf:type schema:CreativeWork
    246 https://www.grid.ac/institutes/grid.262229.f schema:alternateName Pusan National University
    247 schema:name Division of Earth Environmental System, Pusan National University, Jangjeon 2-dong, Geumjeong-gu, 609-735, Busan, South Korea
    248 rdf:type schema:Organization
    249 https://www.grid.ac/institutes/grid.429485.6 schema:alternateName Singapore-MIT Alliance for Research and Technology
    250 schema:name Singapore-MIT Alliance for Research and Technology (SMART), Center for Environmental Sensing and Modeling (CENSAM), Singapore, Singapore
    251 rdf:type schema:Organization
     




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


    ...