Performance of RegCM4 over major river basins in China View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-04

AUTHORS

Xuejie Gao, Ying Shi, Zhenyu Han, Meili Wang, Jia Wu, Dongfeng Zhang, Ying Xu, Filippo Giorgi

ABSTRACT

A long-term simulation for the period 1990–2010 is conducted with the latest version of the International Centre for Theoretical Physics’ Regional Climate Model (RegCM4), driven by ERA-Interim boundary conditions at a grid spacing of 25 km. The Community Land Model (CLM) is used to describe land surface processes, with updates in the surface parameters, including the land cover and surface emissivity. The simulation is compared against observations to evaluate the model performance in reproducing the present day climatology and interannual variability over the 10 main river basins in China, with focus on surface air temperature and precipitation. Temperature and precipitation from the ERA-Interim reanalysis are also considered in the model assessment. Results show that the model reproduces the present day climatology over China and its main river basins, with better performances in June–July–August compared to December–January–February (DJF). In DJF, we find a warm bias at high latitudes, underestimated precipitation in the south, and overestimated precipitation in the north. The model in general captures the observed interannual variability, with greater skill for temperature. We also find an underestimation of heavy precipitation events in eastern China, and an underestimation of consecutive dry days in northern China and the Tibetan Plateau. Similar biases for both mean climatology and extremes are found in the ERA-Interim reanalysis, indicating the difficulties for climate models in simulating extreme monsoon climate events over East Asia. More... »

PAGES

441-455

References to SciGraph publications

  • 2013-05. Near future (2016-40) summer precipitation changes over China as projected by a regional climate model (RCM) under the RCP8.5 emissions scenario: Comparison between RCM downscaling and the driving GCM in ADVANCES IN ATMOSPHERIC SCIENCES
  • 2001-12. Climate change due to greenhouse effects in China as simulated by a regional climate model in ADVANCES IN ATMOSPHERIC SCIENCES
  • 2006-09. Analyses on the climate change responses over China under SRES B2 scenario using PRECIS in SCIENCE BULLETIN
  • 2014-04. Climatic responses to anthropogenic groundwater exploitation: a case study of the Haihe River Basin, Northern China in CLIMATE DYNAMICS
  • 2015-10. Evaluation of a high-resolution historical simulation over China: climatology and extremes in CLIMATE DYNAMICS
  • 2006-09. On the role of resolution and topography in the simulation of East Asia precipitation in THEORETICAL AND APPLIED CLIMATOLOGY
  • 2009-07. A daily temperature dataset over China and its application in validating a RCM simulation in ADVANCES IN ATMOSPHERIC SCIENCES
  • 2015-03. Assessing model performance of climate extremes in China: an intercomparison between CMIP5 and CMIP3 in CLIMATIC CHANGE
  • 2001-07. An virtual numerical experiment to understand the impacts of recovering natural vegetation on the summer climate and environmental conditions in East Asia in SCIENCE BULLETIN
  • 2005-07. Evaluation of East Asian climatology as simulated by seven coupled models in ADVANCES IN ATMOSPHERIC SCIENCES
  • 2013-08. Projection of snow cover changes over China under RCP scenarios in CLIMATE DYNAMICS
  • 2002-03. Ability of NCAR RegCM2 in reproducing the dominant physical processes during the anomalous rainfall episodes in the summer of 1991 over the Yangtze–Huaihe valley in ADVANCES IN ATMOSPHERIC SCIENCES
  • 2010-07. Preliminary results of a regional air-sea coupled model over East Asia in SCIENCE BULLETIN
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00376-016-6179-7

    DOI

    http://dx.doi.org/10.1007/s00376-016-6179-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1084021173


    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": "Institute of Atmospheric Physics", 
              "id": "https://www.grid.ac/institutes/grid.424023.3", 
              "name": [
                "Climate Change Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, 100029, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gao", 
            "givenName": "Xuejie", 
            "id": "sg:person.012504250106.19", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012504250106.19"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "China Meteorological Administration", 
              "id": "https://www.grid.ac/institutes/grid.8658.3", 
              "name": [
                "National Climate Center, China Meteorological Administration, 100081, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Shi", 
            "givenName": "Ying", 
            "id": "sg:person.014660230647.97", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014660230647.97"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "China Meteorological Administration", 
              "id": "https://www.grid.ac/institutes/grid.8658.3", 
              "name": [
                "National Climate Center, China Meteorological Administration, 100081, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Han", 
            "givenName": "Zhenyu", 
            "id": "sg:person.012275606613.25", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012275606613.25"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "China Meteorological Administration", 
              "id": "https://www.grid.ac/institutes/grid.8658.3", 
              "name": [
                "China Meteorological News Press, China Meteorological Administration, 100081, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wang", 
            "givenName": "Meili", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "China Meteorological Administration", 
              "id": "https://www.grid.ac/institutes/grid.8658.3", 
              "name": [
                "National Climate Center, China Meteorological Administration, 100081, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wu", 
            "givenName": "Jia", 
            "id": "sg:person.015354052605.22", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015354052605.22"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Shanxi Climate Center, 030006, Taiyuan, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhang", 
            "givenName": "Dongfeng", 
            "id": "sg:person.014266355174.04", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014266355174.04"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "China Meteorological Administration", 
              "id": "https://www.grid.ac/institutes/grid.8658.3", 
              "name": [
                "National Climate Center, China Meteorological Administration, 100081, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Xu", 
            "givenName": "Ying", 
            "id": "sg:person.015523377552.39", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015523377552.39"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "International Centre for Theoretical Physics", 
              "id": "https://www.grid.ac/institutes/grid.419330.c", 
              "name": [
                "The Abdus Salam International Centre for Theoretical Physics, 34100, Trieste, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Giorgi", 
            "givenName": "Filippo", 
            "id": "sg:person.012357172621.01", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012357172621.01"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s00376-009-9029-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000138613", 
              "https://doi.org/10.1007/s00376-009-9029-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00376-009-9029-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000138613", 
              "https://doi.org/10.1007/s00376-009-9029-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00376-009-9029-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000138613", 
              "https://doi.org/10.1007/s00376-009-9029-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1088/1748-9326/6/4/045401", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000184802"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02918482", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001600580", 
              "https://doi.org/10.1007/bf02918482"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02918482", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001600580", 
              "https://doi.org/10.1007/bf02918482"
            ], 
            "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/10.1029/2007jg000563", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003804889"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2000jd900415", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004042180"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-012-1473-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004759565", 
              "https://doi.org/10.1007/s00382-012-1473-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2002gl016175", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005774168"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0493(1993)121<2814:doasgr>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007365050"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0493(1993)121<2794:doasgr>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008811804"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/16742834.2016.1172938", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015644795"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0493(1990)118<1561:ahramt>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015716146"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1088/1748-9326/9/1/015001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017556436"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/wcc.147", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018192357"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3724/sp.j.1248.2011.00108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019708522"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2002jd002499", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019968616"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/bams-88-9-1395", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022461811"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10584-014-1319-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028450859", 
              "https://doi.org/10.1007/s10584-014-1319-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00376-002-0019-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029638485", 
              "https://doi.org/10.1007/s00376-002-0019-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00376-002-0019-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029638485", 
              "https://doi.org/10.1007/s00376-002-0019-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-013-1995-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031160740", 
              "https://doi.org/10.1007/s00382-013-1995-2"
            ], 
            "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.10.1007/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": "https://doi.org/10.1175/jcli-d-14-00229.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033026511"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0442(2003)016<1721:ahrrcm>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035952271"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-014-2452-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036632508", 
              "https://doi.org/10.1007/s00382-014-2452-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/jc081i021p03719", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037366506"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0442(1998)011<1131:tncfar>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040312330"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11434-010-3071-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041975624", 
              "https://doi.org/10.1007/s11434-010-3071-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11434-006-2099-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042294330", 
              "https://doi.org/10.1007/s11434-006-2099-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.quaint.2012.04.028", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043184696"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00376-013-2209-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045314157", 
              "https://doi.org/10.1007/s00376-013-2209-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/2015jd023912", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046964725"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0442(1995)008<0336:tsciai>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047275102"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/cjg2.811", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047321347"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0469(1991)048<2313:asfrcc>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047848473"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/2013ja019142", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049852857"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/16742834.2010.11446886", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049884780"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0493(1994)122<2331:sosmco>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049904644"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02900602", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049912620", 
              "https://doi.org/10.1007/bf02900602"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02900602", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049912620", 
              "https://doi.org/10.1007/bf02900602"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2006jd008134", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050431006"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/joc.4406", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051727925"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/1998jd200052", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051958178"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/16742834.2013.11447112", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058410025"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1360/n972015-00007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1065073954"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3354/cr00835", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071158592"
            ], 
            "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/cr01262", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071159105"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3354/cr01302", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071159147"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3354/cr01386", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071159247"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3354/cr019193", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071159442"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2017-04", 
        "datePublishedReg": "2017-04-01", 
        "description": "A long-term simulation for the period 1990\u20132010 is conducted with the latest version of the International Centre for Theoretical Physics\u2019 Regional Climate Model (RegCM4), driven by ERA-Interim boundary conditions at a grid spacing of 25 km. The Community Land Model (CLM) is used to describe land surface processes, with updates in the surface parameters, including the land cover and surface emissivity. The simulation is compared against observations to evaluate the model performance in reproducing the present day climatology and interannual variability over the 10 main river basins in China, with focus on surface air temperature and precipitation. Temperature and precipitation from the ERA-Interim reanalysis are also considered in the model assessment. Results show that the model reproduces the present day climatology over China and its main river basins, with better performances in June\u2013July\u2013August compared to December\u2013January\u2013February (DJF). In DJF, we find a warm bias at high latitudes, underestimated precipitation in the south, and overestimated precipitation in the north. The model in general captures the observed interannual variability, with greater skill for temperature. We also find an underestimation of heavy precipitation events in eastern China, and an underestimation of consecutive dry days in northern China and the Tibetan Plateau. Similar biases for both mean climatology and extremes are found in the ERA-Interim reanalysis, indicating the difficulties for climate models in simulating extreme monsoon climate events over East Asia.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00376-016-6179-7", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1135901", 
            "issn": [
              "0256-1530", 
              "1861-9533"
            ], 
            "name": "Advances in Atmospheric Sciences", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "4", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "34"
          }
        ], 
        "name": "Performance of RegCM4 over major river basins in China", 
        "pagination": "441-455", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "5619be0e03622709c10e148a9c800d36da0a589e3fc0547522d96f8a08e57f18"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00376-016-6179-7"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1084021173"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00376-016-6179-7", 
          "https://app.dimensions.ai/details/publication/pub.1084021173"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T12:22", 
        "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/v90/0000000362_0000000362/records_87082_00000001.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs00376-016-6179-7"
      }
    ]
     

    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/s00376-016-6179-7'

    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/s00376-016-6179-7'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00376-016-6179-7'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00376-016-6179-7'


     

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

    278 TRIPLES      21 PREDICATES      76 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00376-016-6179-7 schema:about anzsrc-for:04
    2 anzsrc-for:0401
    3 schema:author N228743ab80314eb099b95393372b15f7
    4 schema:citation sg:pub.10.1007/bf02900602
    5 sg:pub.10.1007/bf02918482
    6 sg:pub.10.1007/s00376-001-0036-y
    7 sg:pub.10.1007/s00376-002-0019-7
    8 sg:pub.10.1007/s00376-009-9029-z
    9 sg:pub.10.1007/s00376-013-2209-x
    10 sg:pub.10.1007/s00382-012-1473-2
    11 sg:pub.10.1007/s00382-013-1995-2
    12 sg:pub.10.1007/s00382-014-2452-6
    13 sg:pub.10.1007/s00704-005-0214-4
    14 sg:pub.10.1007/s10584-014-1319-5
    15 sg:pub.10.1007/s11434-006-2099-8
    16 sg:pub.10.1007/s11434-010-3071-1
    17 https://doi.org/10.1002/2013ja019142
    18 https://doi.org/10.1002/2015jd023912
    19 https://doi.org/10.1002/cjg2.811
    20 https://doi.org/10.1002/joc.4406
    21 https://doi.org/10.1002/wcc.147
    22 https://doi.org/10.1016/j.quaint.2012.04.028
    23 https://doi.org/10.1029/1998jd200052
    24 https://doi.org/10.1029/2000jd900415
    25 https://doi.org/10.1029/2002gl016175
    26 https://doi.org/10.1029/2002jd002499
    27 https://doi.org/10.1029/2006jd008134
    28 https://doi.org/10.1029/2007jg000563
    29 https://doi.org/10.1029/jc081i021p03719
    30 https://doi.org/10.1080/16742834.2010.11446886
    31 https://doi.org/10.1080/16742834.2013.11447112
    32 https://doi.org/10.1080/16742834.2016.1172938
    33 https://doi.org/10.1088/1748-9326/6/4/045401
    34 https://doi.org/10.1088/1748-9326/9/1/015001
    35 https://doi.org/10.1175/1520-0442(1995)008<0336:tsciai>2.0.co;2
    36 https://doi.org/10.1175/1520-0442(1998)011<1131:tncfar>2.0.co;2
    37 https://doi.org/10.1175/1520-0442(2003)016<1721:ahrrcm>2.0.co;2
    38 https://doi.org/10.1175/1520-0469(1991)048<2313:asfrcc>2.0.co;2
    39 https://doi.org/10.1175/1520-0493(1990)118<1561:ahramt>2.0.co;2
    40 https://doi.org/10.1175/1520-0493(1993)121<2794:doasgr>2.0.co;2
    41 https://doi.org/10.1175/1520-0493(1993)121<2814:doasgr>2.0.co;2
    42 https://doi.org/10.1175/1520-0493(1994)122<2331:sosmco>2.0.co;2
    43 https://doi.org/10.1175/bams-88-9-1395
    44 https://doi.org/10.1175/jcli-d-14-00229.1
    45 https://doi.org/10.1360/n972015-00007
    46 https://doi.org/10.3354/cr00835
    47 https://doi.org/10.3354/cr01018
    48 https://doi.org/10.3354/cr01262
    49 https://doi.org/10.3354/cr01302
    50 https://doi.org/10.3354/cr01386
    51 https://doi.org/10.3354/cr019193
    52 https://doi.org/10.3724/sp.j.1248.2011.00108
    53 schema:datePublished 2017-04
    54 schema:datePublishedReg 2017-04-01
    55 schema:description A long-term simulation for the period 1990–2010 is conducted with the latest version of the International Centre for Theoretical Physics’ Regional Climate Model (RegCM4), driven by ERA-Interim boundary conditions at a grid spacing of 25 km. The Community Land Model (CLM) is used to describe land surface processes, with updates in the surface parameters, including the land cover and surface emissivity. The simulation is compared against observations to evaluate the model performance in reproducing the present day climatology and interannual variability over the 10 main river basins in China, with focus on surface air temperature and precipitation. Temperature and precipitation from the ERA-Interim reanalysis are also considered in the model assessment. Results show that the model reproduces the present day climatology over China and its main river basins, with better performances in June–July–August compared to December–January–February (DJF). In DJF, we find a warm bias at high latitudes, underestimated precipitation in the south, and overestimated precipitation in the north. The model in general captures the observed interannual variability, with greater skill for temperature. We also find an underestimation of heavy precipitation events in eastern China, and an underestimation of consecutive dry days in northern China and the Tibetan Plateau. Similar biases for both mean climatology and extremes are found in the ERA-Interim reanalysis, indicating the difficulties for climate models in simulating extreme monsoon climate events over East Asia.
    56 schema:genre research_article
    57 schema:inLanguage en
    58 schema:isAccessibleForFree false
    59 schema:isPartOf N17ee8a18b70e4e88a284d5a204e77f00
    60 N9df6e8f3004749789360f222d276bd22
    61 sg:journal.1135901
    62 schema:name Performance of RegCM4 over major river basins in China
    63 schema:pagination 441-455
    64 schema:productId N6e38a691f3f34fe1997e958fde8f50b4
    65 N76503d4001fc40b2b9b900fe0d69336f
    66 Nf17e51a03e78405f82589a2335c01aaa
    67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084021173
    68 https://doi.org/10.1007/s00376-016-6179-7
    69 schema:sdDatePublished 2019-04-11T12:22
    70 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    71 schema:sdPublisher Nf9b287ce01a949e1a2e01f8fc627199e
    72 schema:url https://link.springer.com/10.1007%2Fs00376-016-6179-7
    73 sgo:license sg:explorer/license/
    74 sgo:sdDataset articles
    75 rdf:type schema:ScholarlyArticle
    76 N0f519e005834408c8089901114a4de4f rdf:first N3d01a45615d8434fa911ca38b99456be
    77 rdf:rest Nc0a9dab011a64eb7acb19040ade0eb7d
    78 N17ee8a18b70e4e88a284d5a204e77f00 schema:issueNumber 4
    79 rdf:type schema:PublicationIssue
    80 N228743ab80314eb099b95393372b15f7 rdf:first sg:person.012504250106.19
    81 rdf:rest N2b8f2f2790b94f6887762ef3cb44e107
    82 N2b8f2f2790b94f6887762ef3cb44e107 rdf:first sg:person.014660230647.97
    83 rdf:rest N5a08fae4da8f483c908f35accc831205
    84 N3d01a45615d8434fa911ca38b99456be schema:affiliation https://www.grid.ac/institutes/grid.8658.3
    85 schema:familyName Wang
    86 schema:givenName Meili
    87 rdf:type schema:Person
    88 N5a08fae4da8f483c908f35accc831205 rdf:first sg:person.012275606613.25
    89 rdf:rest N0f519e005834408c8089901114a4de4f
    90 N5f227d6148a449f28449935c9be6a417 rdf:first sg:person.015523377552.39
    91 rdf:rest Ne29f6e8cefe94e339cb2c9534e4cc6be
    92 N6e38a691f3f34fe1997e958fde8f50b4 schema:name doi
    93 schema:value 10.1007/s00376-016-6179-7
    94 rdf:type schema:PropertyValue
    95 N76503d4001fc40b2b9b900fe0d69336f schema:name readcube_id
    96 schema:value 5619be0e03622709c10e148a9c800d36da0a589e3fc0547522d96f8a08e57f18
    97 rdf:type schema:PropertyValue
    98 N88725c4d6d5144a99db2840ff7063128 rdf:first sg:person.014266355174.04
    99 rdf:rest N5f227d6148a449f28449935c9be6a417
    100 N9df6e8f3004749789360f222d276bd22 schema:volumeNumber 34
    101 rdf:type schema:PublicationVolume
    102 Nc0a9dab011a64eb7acb19040ade0eb7d rdf:first sg:person.015354052605.22
    103 rdf:rest N88725c4d6d5144a99db2840ff7063128
    104 Ndcc8c381880848fcb0a7fb3f48fd7050 schema:name Shanxi Climate Center, 030006, Taiyuan, China
    105 rdf:type schema:Organization
    106 Ne29f6e8cefe94e339cb2c9534e4cc6be rdf:first sg:person.012357172621.01
    107 rdf:rest rdf:nil
    108 Nf17e51a03e78405f82589a2335c01aaa schema:name dimensions_id
    109 schema:value pub.1084021173
    110 rdf:type schema:PropertyValue
    111 Nf9b287ce01a949e1a2e01f8fc627199e schema:name Springer Nature - SN SciGraph project
    112 rdf:type schema:Organization
    113 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
    114 schema:name Earth Sciences
    115 rdf:type schema:DefinedTerm
    116 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
    117 schema:name Atmospheric Sciences
    118 rdf:type schema:DefinedTerm
    119 sg:journal.1135901 schema:issn 0256-1530
    120 1861-9533
    121 schema:name Advances in Atmospheric Sciences
    122 rdf:type schema:Periodical
    123 sg:person.012275606613.25 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
    124 schema:familyName Han
    125 schema:givenName Zhenyu
    126 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012275606613.25
    127 rdf:type schema:Person
    128 sg:person.012357172621.01 schema:affiliation https://www.grid.ac/institutes/grid.419330.c
    129 schema:familyName Giorgi
    130 schema:givenName Filippo
    131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012357172621.01
    132 rdf:type schema:Person
    133 sg:person.012504250106.19 schema:affiliation https://www.grid.ac/institutes/grid.424023.3
    134 schema:familyName Gao
    135 schema:givenName Xuejie
    136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012504250106.19
    137 rdf:type schema:Person
    138 sg:person.014266355174.04 schema:affiliation Ndcc8c381880848fcb0a7fb3f48fd7050
    139 schema:familyName Zhang
    140 schema:givenName Dongfeng
    141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014266355174.04
    142 rdf:type schema:Person
    143 sg:person.014660230647.97 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
    144 schema:familyName Shi
    145 schema:givenName Ying
    146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014660230647.97
    147 rdf:type schema:Person
    148 sg:person.015354052605.22 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
    149 schema:familyName Wu
    150 schema:givenName Jia
    151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015354052605.22
    152 rdf:type schema:Person
    153 sg:person.015523377552.39 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
    154 schema:familyName Xu
    155 schema:givenName Ying
    156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015523377552.39
    157 rdf:type schema:Person
    158 sg:pub.10.1007/bf02900602 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049912620
    159 https://doi.org/10.1007/bf02900602
    160 rdf:type schema:CreativeWork
    161 sg:pub.10.1007/bf02918482 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001600580
    162 https://doi.org/10.1007/bf02918482
    163 rdf:type schema:CreativeWork
    164 sg:pub.10.1007/s00376-001-0036-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1032752596
    165 https://doi.org/10.1007/s00376-001-0036-y
    166 rdf:type schema:CreativeWork
    167 sg:pub.10.1007/s00376-002-0019-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029638485
    168 https://doi.org/10.1007/s00376-002-0019-7
    169 rdf:type schema:CreativeWork
    170 sg:pub.10.1007/s00376-009-9029-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1000138613
    171 https://doi.org/10.1007/s00376-009-9029-z
    172 rdf:type schema:CreativeWork
    173 sg:pub.10.1007/s00376-013-2209-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045314157
    174 https://doi.org/10.1007/s00376-013-2209-x
    175 rdf:type schema:CreativeWork
    176 sg:pub.10.1007/s00382-012-1473-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004759565
    177 https://doi.org/10.1007/s00382-012-1473-2
    178 rdf:type schema:CreativeWork
    179 sg:pub.10.1007/s00382-013-1995-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031160740
    180 https://doi.org/10.1007/s00382-013-1995-2
    181 rdf:type schema:CreativeWork
    182 sg:pub.10.1007/s00382-014-2452-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036632508
    183 https://doi.org/10.1007/s00382-014-2452-6
    184 rdf:type schema:CreativeWork
    185 sg:pub.10.1007/s00704-005-0214-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002192542
    186 https://doi.org/10.1007/s00704-005-0214-4
    187 rdf:type schema:CreativeWork
    188 sg:pub.10.1007/s10584-014-1319-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028450859
    189 https://doi.org/10.1007/s10584-014-1319-5
    190 rdf:type schema:CreativeWork
    191 sg:pub.10.1007/s11434-006-2099-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042294330
    192 https://doi.org/10.1007/s11434-006-2099-8
    193 rdf:type schema:CreativeWork
    194 sg:pub.10.1007/s11434-010-3071-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041975624
    195 https://doi.org/10.1007/s11434-010-3071-1
    196 rdf:type schema:CreativeWork
    197 https://doi.org/10.1002/2013ja019142 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049852857
    198 rdf:type schema:CreativeWork
    199 https://doi.org/10.1002/2015jd023912 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046964725
    200 rdf:type schema:CreativeWork
    201 https://doi.org/10.1002/cjg2.811 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047321347
    202 rdf:type schema:CreativeWork
    203 https://doi.org/10.1002/joc.4406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051727925
    204 rdf:type schema:CreativeWork
    205 https://doi.org/10.1002/wcc.147 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018192357
    206 rdf:type schema:CreativeWork
    207 https://doi.org/10.1016/j.quaint.2012.04.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043184696
    208 rdf:type schema:CreativeWork
    209 https://doi.org/10.1029/1998jd200052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051958178
    210 rdf:type schema:CreativeWork
    211 https://doi.org/10.1029/2000jd900415 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004042180
    212 rdf:type schema:CreativeWork
    213 https://doi.org/10.1029/2002gl016175 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005774168
    214 rdf:type schema:CreativeWork
    215 https://doi.org/10.1029/2002jd002499 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019968616
    216 rdf:type schema:CreativeWork
    217 https://doi.org/10.1029/2006jd008134 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050431006
    218 rdf:type schema:CreativeWork
    219 https://doi.org/10.1029/2007jg000563 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003804889
    220 rdf:type schema:CreativeWork
    221 https://doi.org/10.1029/jc081i021p03719 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037366506
    222 rdf:type schema:CreativeWork
    223 https://doi.org/10.1080/16742834.2010.11446886 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049884780
    224 rdf:type schema:CreativeWork
    225 https://doi.org/10.1080/16742834.2013.11447112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058410025
    226 rdf:type schema:CreativeWork
    227 https://doi.org/10.1080/16742834.2016.1172938 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015644795
    228 rdf:type schema:CreativeWork
    229 https://doi.org/10.1088/1748-9326/6/4/045401 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000184802
    230 rdf:type schema:CreativeWork
    231 https://doi.org/10.1088/1748-9326/9/1/015001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017556436
    232 rdf:type schema:CreativeWork
    233 https://doi.org/10.1175/1520-0442(1995)008<0336:tsciai>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047275102
    234 rdf:type schema:CreativeWork
    235 https://doi.org/10.1175/1520-0442(1998)011<1131:tncfar>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040312330
    236 rdf:type schema:CreativeWork
    237 https://doi.org/10.1175/1520-0442(2003)016<1721:ahrrcm>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035952271
    238 rdf:type schema:CreativeWork
    239 https://doi.org/10.1175/1520-0469(1991)048<2313:asfrcc>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047848473
    240 rdf:type schema:CreativeWork
    241 https://doi.org/10.1175/1520-0493(1990)118<1561:ahramt>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015716146
    242 rdf:type schema:CreativeWork
    243 https://doi.org/10.1175/1520-0493(1993)121<2794:doasgr>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008811804
    244 rdf:type schema:CreativeWork
    245 https://doi.org/10.1175/1520-0493(1993)121<2814:doasgr>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007365050
    246 rdf:type schema:CreativeWork
    247 https://doi.org/10.1175/1520-0493(1994)122<2331:sosmco>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049904644
    248 rdf:type schema:CreativeWork
    249 https://doi.org/10.1175/bams-88-9-1395 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022461811
    250 rdf:type schema:CreativeWork
    251 https://doi.org/10.1175/jcli-d-14-00229.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033026511
    252 rdf:type schema:CreativeWork
    253 https://doi.org/10.1360/n972015-00007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065073954
    254 rdf:type schema:CreativeWork
    255 https://doi.org/10.3354/cr00835 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071158592
    256 rdf:type schema:CreativeWork
    257 https://doi.org/10.3354/cr01018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071158815
    258 rdf:type schema:CreativeWork
    259 https://doi.org/10.3354/cr01262 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071159105
    260 rdf:type schema:CreativeWork
    261 https://doi.org/10.3354/cr01302 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071159147
    262 rdf:type schema:CreativeWork
    263 https://doi.org/10.3354/cr01386 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071159247
    264 rdf:type schema:CreativeWork
    265 https://doi.org/10.3354/cr019193 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071159442
    266 rdf:type schema:CreativeWork
    267 https://doi.org/10.3724/sp.j.1248.2011.00108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019708522
    268 rdf:type schema:CreativeWork
    269 https://www.grid.ac/institutes/grid.419330.c schema:alternateName International Centre for Theoretical Physics
    270 schema:name The Abdus Salam International Centre for Theoretical Physics, 34100, Trieste, Italy
    271 rdf:type schema:Organization
    272 https://www.grid.ac/institutes/grid.424023.3 schema:alternateName Institute of Atmospheric Physics
    273 schema:name Climate Change Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, 100029, Beijing, China
    274 rdf:type schema:Organization
    275 https://www.grid.ac/institutes/grid.8658.3 schema:alternateName China Meteorological Administration
    276 schema:name China Meteorological News Press, China Meteorological Administration, 100081, Beijing, China
    277 National Climate Center, China Meteorological Administration, 100081, Beijing, China
    278 rdf:type schema:Organization
     




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


    ...