A new integrated and homogenized global monthly land surface air temperature dataset for the period since 1900 View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-04

AUTHORS

Wenhui Xu, Qingxiang Li, Phil Jones, Xiaolan L. Wang, Blair Trewin, Su Yang, Chen Zhu, Panmao Zhai, Jinfeng Wang, Lucie Vincent, Aiguo Dai, Yun Gao, Yihui Ding

ABSTRACT

A new dataset of integrated and homogenized monthly surface air temperature over global land for the period since 1900 [China Meteorological Administration global Land Surface Air Temperature (CMA-LSAT)] is developed. In total, 14 sources have been collected and integrated into the newly developed dataset, including three global (CRUTEM4, GHCN, and BEST), three regional and eight national sources. Duplicate stations are identified, and those with the higher priority are chosen or spliced. Then, a consistency test and a climate outlier test are conducted to ensure that each station series is quality controlled. Next, two steps are adopted to assure the homogeneity of the station series: (1) homogenized station series in existing national datasets (by National Meteorological Services) are directly integrated into the dataset without any changes (50% of all stations), and (2) the inhomogeneities are detected and adjusted for in the remaining data series using a penalized maximal t test (50% of all stations). Based on the dataset, we re-assess the temperature changes in global and regional areas compared with GHCN-V3 and CRUTEM4, as well as the temperature changes during the three periods of 1900–2014, 1979–2014 and 1998–2014. The best estimates of warming trends and there 95% confidence ranges for 1900–2014 are approximately 0.102 ± 0.006 °C/decade for the whole year, and 0.104 ± 0.009, 0.112 ± 0.007, 0.090 ± 0.006, and 0.092 ± 0.007 °C/decade for the DJF (December, January, February), MAM, JJA, and SON seasons, respectively. MAM saw the most significant warming trend in both 1900–2014 and 1979–2014. For an even shorter and more recent period (1998–2014), MAM, JJA and SON show similar warming trends, while DJF shows opposite trends. The results show that the ability of CMA-LAST for describing the global temperature changes is similar with other existing products, while there are some differences when describing regional temperature changes. More... »

PAGES

2513-2536

References to SciGraph publications

  • 2010-01. Assessment of surface air warming in northeast China, with emphasis on the impacts of urbanization in THEORETICAL AND APPLIED CLIMATOLOGY
  • 2016-04. The Likelihood of Recent Record Warmth in SCIENTIFIC REPORTS
  • 2010-07. Assessment of the uncertainties in temperature change in China during the last century in SCIENCE BULLETIN
  • 2004-07. Progress in China’s climate change study in the 20th century in JOURNAL OF GEOGRAPHICAL SCIENCES
  • 2015-06. Decadal modulation of global surface temperature by internal climate variability in NATURE CLIMATE CHANGE
  • 2011-06. Changes in daily climate extremes in China and their connection to the large scale atmospheric circulation during 1961–2003 in CLIMATE DYNAMICS
  • 2004-04. Detecting and adjusting temporal inhomogeneity in Chinese mean surface air temperature data in ADVANCES IN ATMOSPHERIC SCIENCES
  • 2015-11. Does the climate warming hiatus exist over the Tibetan Plateau? in SCIENTIFIC REPORTS
  • 2016-03. The reliability of global and hemispheric surface temperature records in ADVANCES IN ATMOSPHERIC SCIENCES
  • 2009-01. Detection and adjustment of undocumented discontinuities in Chinese temperature series using a composite approach in ADVANCES IN ATMOSPHERIC SCIENCES
  • 2004-12. Urban heat island effect on annual mean temperature during the last 50 years in China in THEORETICAL AND APPLIED CLIMATOLOGY
  • 2004-11. Climate: Large-scale warming is not urban in NATURE
  • 2010-07. Application of Multiple Analysis of Series for Homogenization to Beijing daily temperature series (1960–2006) in ADVANCES IN ATMOSPHERIC SCIENCES
  • 2015-12. Regional Contrasts of the Warming Rate over Land Significantly Depend on the Calculation Methods of Mean Air Temperature in SCIENTIFIC REPORTS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00382-017-3755-1

    DOI

    http://dx.doi.org/10.1007/s00382-017-3755-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1086125561


    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/2008/0909", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Geomatic Engineering", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Engineering", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "China Meteorological Administration", 
              "id": "https://www.grid.ac/institutes/grid.8658.3", 
              "name": [
                "China Meteorological Administration, National Meteorological Information Center, 46 Zhongguancun South Avenue, Haidian District, 100081, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Xu", 
            "givenName": "Wenhui", 
            "id": "sg:person.011704330106.44", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011704330106.44"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Sun Yat-sen University", 
              "id": "https://www.grid.ac/institutes/grid.12981.33", 
              "name": [
                "School of Atmospheric Sciences, Sun Yat-sen University, 135 Xingangxi Road, 510275, Guangzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Li", 
            "givenName": "Qingxiang", 
            "id": "sg:person.011622455536.28", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011622455536.28"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "King Abdulaziz University", 
              "id": "https://www.grid.ac/institutes/grid.412125.1", 
              "name": [
                "Climatic Research Unit, School of Environmental Sciences, University of East Anglia, NR4 7TJ, Norwich, UK", 
                "Center of Excellence for Climate Change Research, Department of Meteorology, King Abdulaziz University, 21589, Jeddah, Saudi Arabia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jones", 
            "givenName": "Phil", 
            "id": "sg:person.0721646017.58", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721646017.58"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Environment Canada", 
              "id": "https://www.grid.ac/institutes/grid.410334.1", 
              "name": [
                "Climate Research Division, Science and Technology Branch, Environment and Climate Change Canada, Toronto, ON, Canada"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wang", 
            "givenName": "Xiaolan L.", 
            "id": "sg:person.010160355260.62", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010160355260.62"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Bureau of Meteorology", 
              "id": "https://www.grid.ac/institutes/grid.1527.1", 
              "name": [
                "Australian Bureau of Meteorology, Melbourne, VIC, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Trewin", 
            "givenName": "Blair", 
            "id": "sg:person.012710350755.60", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012710350755.60"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "China Meteorological Administration", 
              "id": "https://www.grid.ac/institutes/grid.8658.3", 
              "name": [
                "China Meteorological Administration, National Meteorological Information Center, 46 Zhongguancun South Avenue, Haidian District, 100081, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yang", 
            "givenName": "Su", 
            "id": "sg:person.010450770353.25", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010450770353.25"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "China Meteorological Administration", 
              "id": "https://www.grid.ac/institutes/grid.8658.3", 
              "name": [
                "China Meteorological Administration, National Meteorological Information Center, 46 Zhongguancun South Avenue, Haidian District, 100081, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhu", 
            "givenName": "Chen", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "China Meteorological Administration", 
              "id": "https://www.grid.ac/institutes/grid.8658.3", 
              "name": [
                "China Meteorological Administration, China Academy of Meteorological Sciences, 46 Zhongguancun South Avenue, Haidian District, 100081, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhai", 
            "givenName": "Panmao", 
            "id": "sg:person.015607447515.03", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015607447515.03"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institute of Geographic Sciences and Natural Resources Research", 
              "id": "https://www.grid.ac/institutes/grid.424975.9", 
              "name": [
                "LREIS, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wang", 
            "givenName": "Jinfeng", 
            "id": "sg:person.0627557260.20", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627557260.20"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Environment Canada", 
              "id": "https://www.grid.ac/institutes/grid.410334.1", 
              "name": [
                "Climate Research Division, Science and Technology Branch, Environment and Climate Change Canada, Toronto, ON, Canada"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Vincent", 
            "givenName": "Lucie", 
            "id": "sg:person.011630464253.16", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011630464253.16"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University at Albany, State University of New York", 
              "id": "https://www.grid.ac/institutes/grid.265850.c", 
              "name": [
                "Department of Atmospheric and Environmental Sciences, University at Albany, SUNY, 12222, Albany, NY, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dai", 
            "givenName": "Aiguo", 
            "id": "sg:person.0601456034.82", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0601456034.82"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "China Meteorological Administration", 
              "id": "https://www.grid.ac/institutes/grid.8658.3", 
              "name": [
                "China Meteorological Administration, 46 Zhongguancun South Avenue, Haidian District, 100081, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gao", 
            "givenName": "Yun", 
            "id": "sg:person.014257213306.32", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014257213306.32"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "China Meteorological Administration", 
              "id": "https://www.grid.ac/institutes/grid.8658.3", 
              "name": [
                "China Meteorological Administration, National Climate Center, 46 Zhongguancun South Avenue, Haidian District, 100081, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ding", 
            "givenName": "Yihui", 
            "id": "sg:person.015555264223.74", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015555264223.74"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1029/2005jd006548", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000063736"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4172/2327-4581.1000101", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000223559"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0442(2003)016<0206:halssa>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000480591"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2011jd017139", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000480607"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00376-009-9052-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000498742", 
              "https://doi.org/10.1007/s00376-009-9052-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00376-009-9052-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000498742", 
              "https://doi.org/10.1007/s00376-009-9052-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00704-009-0155-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000629037", 
              "https://doi.org/10.1007/s00704-009-0155-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00704-009-0155-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000629037", 
              "https://doi.org/10.1007/s00704-009-0155-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00704-009-0155-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000629037", 
              "https://doi.org/10.1007/s00704-009-0155-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/1999rg900002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002507346"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/bams-d-16-0092.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003415604"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/2010jamc2376.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004594438"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/jcli3431.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005441257"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/joc.4174", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005968985"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02841101", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007193329", 
              "https://doi.org/10.1007/bf02841101"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02841101", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007193329", 
              "https://doi.org/10.1007/bf02841101"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0400357101", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008211130"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2011jd016187", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010819374"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/2009bams2736.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011203166"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/432290a", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011765664", 
              "https://doi.org/10.1038/432290a"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/432290a", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011765664", 
              "https://doi.org/10.1038/432290a"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2005jd006290", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012024490"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2005jd006290", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012024490"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/2013jd020542", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012424064"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/2007jtecha982.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013359126"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/jc090ic05p08995", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014769185"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/qj.2297", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015018930"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2010rg000345", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016459561"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2010rg000345", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016459561"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/joc.1971", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016826377"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/joc.1971", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016826377"
            ], 
            "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/10.1175/1520-0442(1994)007<1794:hsatva>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018967105"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep12324", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020443568", 
              "https://doi.org/10.1038/srep12324"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-009-0735-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021206751", 
              "https://doi.org/10.1007/s00382-009-0735-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0606291103", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021968013"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/joc.3370140606", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023510738"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/qj.2949", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023674991"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/07055900.2013.818526", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023930824"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00704-004-0065-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024486834", 
              "https://doi.org/10.1007/s00704-004-0065-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/joc.906", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024856610"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/2010jcli3816.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025997292"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/gdj3.8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026892565"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11434-010-3209-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027101108", 
              "https://doi.org/10.1007/s11434-010-3209-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11434-010-3209-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027101108", 
              "https://doi.org/10.1007/s11434-010-3209-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02915712", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028285792", 
              "https://doi.org/10.1007/bf02915712"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02915712", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028285792", 
              "https://doi.org/10.1007/bf02915712"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00376-015-5194-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028768668", 
              "https://doi.org/10.1007/s00376-015-5194-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00376-015-5194-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028768668", 
              "https://doi.org/10.1007/s00376-015-5194-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/01eo00270", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028832275"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/jam2504.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029718107"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/1999jd900835", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030852090"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/2008jcli2263.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031099820"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/jgrd.50615", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031359294"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.aaa5632", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031432406"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/2007jamc1706.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033868037"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/bams-d-14-00106.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034361581"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/joc.3370140102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034406284"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/jcli-d-14-00427.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034535177"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/2014gl062773", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035473875"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0442(2003)016<2941:aouvri>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036683384"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/joc.3711", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038108572"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/jcli-d-14-00697.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038924031"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/2007jcli2100.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040291252"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00376-009-0143-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040455200", 
              "https://doi.org/10.1007/s00376-009-0143-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00376-009-0143-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040455200", 
              "https://doi.org/10.1007/s00376-009-0143-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2008jd009916", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040676896"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/2008jamc1741.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040705760"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep13711", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040764266", 
              "https://doi.org/10.1038/srep13711"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/joc.1377", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041147823"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nclimate2605", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042378111", 
              "https://doi.org/10.1038/nclimate2605"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/joc.3530", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042641567"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/2009jcli3200.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045065495"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/jcli3366.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045132887"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2011jd016761", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046780568"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/1998wr900018", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046937571"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/jgrd.50791", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048512715"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep19831", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049721249", 
              "https://doi.org/10.1038/srep19831"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/(sici)1097-0088(19981115)18:13<1493::aid-joc329>3.0.co;2-t", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049735928"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/joc.1047", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049817320"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2012jd017859", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050553120"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/jcli3730.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051509285"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5194/cp-8-89-2012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051700421"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/joc.773", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052275672"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2012jd017729", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052966106"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0477(1997)078<2837:aootgh>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053015696"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/02723646.1981.10642213", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1106957090"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2018-04", 
        "datePublishedReg": "2018-04-01", 
        "description": "A new dataset of integrated and homogenized monthly surface air temperature over global land for the period since 1900 [China Meteorological Administration global Land Surface Air Temperature (CMA-LSAT)] is developed. In total, 14 sources have been collected and integrated into the newly developed dataset, including three global (CRUTEM4, GHCN, and BEST), three regional and eight national sources. Duplicate stations are identified, and those with the higher priority are chosen or spliced. Then, a consistency test and a climate outlier test are conducted to ensure that each station series is quality controlled. Next, two steps are adopted to assure the homogeneity of the station series: (1) homogenized station series in existing national datasets (by National Meteorological Services) are directly integrated into the dataset without any changes (50% of all stations), and (2) the inhomogeneities are detected and adjusted for in the remaining data series using a penalized maximal t test (50% of all stations). Based on the dataset, we re-assess the temperature changes in global and regional areas compared with GHCN-V3 and CRUTEM4, as well as the temperature changes during the three periods of 1900\u20132014, 1979\u20132014 and 1998\u20132014. The best estimates of warming trends and there 95% confidence ranges for 1900\u20132014 are approximately 0.102 \u00b1 0.006 \u00b0C/decade for the whole year, and 0.104 \u00b1 0.009, 0.112 \u00b1 0.007, 0.090 \u00b1 0.006, and 0.092 \u00b1 0.007 \u00b0C/decade for the DJF (December, January, February), MAM, JJA, and SON seasons, respectively. MAM saw the most significant warming trend in both 1900\u20132014 and 1979\u20132014. For an even shorter and more recent period (1998\u20132014), MAM, JJA and SON show similar warming trends, while DJF shows opposite trends. The results show that the ability of CMA-LAST for describing the global temperature changes is similar with other existing products, while there are some differences when describing regional temperature changes.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00382-017-3755-1", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1049631", 
            "issn": [
              "0930-7575", 
              "1432-0894"
            ], 
            "name": "Climate Dynamics", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "7-8", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "50"
          }
        ], 
        "name": "A new integrated and homogenized global monthly land surface air temperature dataset for the period since 1900", 
        "pagination": "2513-2536", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "c18a0756e9575ed8321f4d323e2277cbb7de5a8ffc7f26ee2cfb3314b5150045"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00382-017-3755-1"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1086125561"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00382-017-3755-1", 
          "https://app.dimensions.ai/details/publication/pub.1086125561"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T10:15", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000348_0000000348/records_54297_00000001.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs00382-017-3755-1"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00382-017-3755-1'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00382-017-3755-1'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00382-017-3755-1'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00382-017-3755-1'


     

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

    405 TRIPLES      21 PREDICATES      102 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00382-017-3755-1 schema:about anzsrc-for:09
    2 anzsrc-for:0909
    3 schema:author N0a1e8722091f414594d387f96febfa8c
    4 schema:citation sg:pub.10.1007/bf02841101
    5 sg:pub.10.1007/bf02915712
    6 sg:pub.10.1007/s00376-009-0143-8
    7 sg:pub.10.1007/s00376-009-9052-0
    8 sg:pub.10.1007/s00376-015-5194-4
    9 sg:pub.10.1007/s00382-009-0735-0
    10 sg:pub.10.1007/s00704-004-0065-4
    11 sg:pub.10.1007/s00704-009-0155-4
    12 sg:pub.10.1007/s11434-010-3209-1
    13 sg:pub.10.1038/432290a
    14 sg:pub.10.1038/nclimate2605
    15 sg:pub.10.1038/srep12324
    16 sg:pub.10.1038/srep13711
    17 sg:pub.10.1038/srep19831
    18 https://doi.org/10.1002/(sici)1097-0088(19981115)18:13<1493::aid-joc329>3.0.co;2-t
    19 https://doi.org/10.1002/2013jd020542
    20 https://doi.org/10.1002/2014gl062773
    21 https://doi.org/10.1002/gdj3.8
    22 https://doi.org/10.1002/jgrd.50615
    23 https://doi.org/10.1002/jgrd.50791
    24 https://doi.org/10.1002/joc.1047
    25 https://doi.org/10.1002/joc.1377
    26 https://doi.org/10.1002/joc.1971
    27 https://doi.org/10.1002/joc.3370140102
    28 https://doi.org/10.1002/joc.3370140606
    29 https://doi.org/10.1002/joc.3530
    30 https://doi.org/10.1002/joc.3711
    31 https://doi.org/10.1002/joc.4174
    32 https://doi.org/10.1002/joc.773
    33 https://doi.org/10.1002/joc.906
    34 https://doi.org/10.1002/qj.2297
    35 https://doi.org/10.1002/qj.2949
    36 https://doi.org/10.1029/01eo00270
    37 https://doi.org/10.1029/1998wr900018
    38 https://doi.org/10.1029/1999jd900835
    39 https://doi.org/10.1029/1999rg900002
    40 https://doi.org/10.1029/2005jd006290
    41 https://doi.org/10.1029/2005jd006548
    42 https://doi.org/10.1029/2008jd009916
    43 https://doi.org/10.1029/2010rg000345
    44 https://doi.org/10.1029/2011jd016187
    45 https://doi.org/10.1029/2011jd016761
    46 https://doi.org/10.1029/2011jd017139
    47 https://doi.org/10.1029/2012jd017729
    48 https://doi.org/10.1029/2012jd017859
    49 https://doi.org/10.1029/jc090ic05p08995
    50 https://doi.org/10.1073/pnas.0400357101
    51 https://doi.org/10.1073/pnas.0606291103
    52 https://doi.org/10.1080/02723646.1981.10642213
    53 https://doi.org/10.1080/07055900.2013.818526
    54 https://doi.org/10.1088/1748-9326/9/1/015001
    55 https://doi.org/10.1126/science.aaa5632
    56 https://doi.org/10.1175/1520-0442(1994)007<1794:hsatva>2.0.co;2
    57 https://doi.org/10.1175/1520-0442(2003)016<0206:halssa>2.0.co;2
    58 https://doi.org/10.1175/1520-0442(2003)016<2941:aouvri>2.0.co;2
    59 https://doi.org/10.1175/1520-0477(1997)078<2837:aootgh>2.0.co;2
    60 https://doi.org/10.1175/2007jamc1706.1
    61 https://doi.org/10.1175/2007jcli2100.1
    62 https://doi.org/10.1175/2007jtecha982.1
    63 https://doi.org/10.1175/2008jamc1741.1
    64 https://doi.org/10.1175/2008jcli2263.1
    65 https://doi.org/10.1175/2009bams2736.1
    66 https://doi.org/10.1175/2009jcli3200.1
    67 https://doi.org/10.1175/2010jamc2376.1
    68 https://doi.org/10.1175/2010jcli3816.1
    69 https://doi.org/10.1175/bams-d-14-00106.1
    70 https://doi.org/10.1175/bams-d-16-0092.1
    71 https://doi.org/10.1175/jam2504.1
    72 https://doi.org/10.1175/jcli-d-14-00427.1
    73 https://doi.org/10.1175/jcli-d-14-00697.1
    74 https://doi.org/10.1175/jcli3366.1
    75 https://doi.org/10.1175/jcli3431.1
    76 https://doi.org/10.1175/jcli3730.1
    77 https://doi.org/10.4172/2327-4581.1000101
    78 https://doi.org/10.5194/cp-8-89-2012
    79 schema:datePublished 2018-04
    80 schema:datePublishedReg 2018-04-01
    81 schema:description A new dataset of integrated and homogenized monthly surface air temperature over global land for the period since 1900 [China Meteorological Administration global Land Surface Air Temperature (CMA-LSAT)] is developed. In total, 14 sources have been collected and integrated into the newly developed dataset, including three global (CRUTEM4, GHCN, and BEST), three regional and eight national sources. Duplicate stations are identified, and those with the higher priority are chosen or spliced. Then, a consistency test and a climate outlier test are conducted to ensure that each station series is quality controlled. Next, two steps are adopted to assure the homogeneity of the station series: (1) homogenized station series in existing national datasets (by National Meteorological Services) are directly integrated into the dataset without any changes (50% of all stations), and (2) the inhomogeneities are detected and adjusted for in the remaining data series using a penalized maximal t test (50% of all stations). Based on the dataset, we re-assess the temperature changes in global and regional areas compared with GHCN-V3 and CRUTEM4, as well as the temperature changes during the three periods of 1900–2014, 1979–2014 and 1998–2014. The best estimates of warming trends and there 95% confidence ranges for 1900–2014 are approximately 0.102 ± 0.006 °C/decade for the whole year, and 0.104 ± 0.009, 0.112 ± 0.007, 0.090 ± 0.006, and 0.092 ± 0.007 °C/decade for the DJF (December, January, February), MAM, JJA, and SON seasons, respectively. MAM saw the most significant warming trend in both 1900–2014 and 1979–2014. For an even shorter and more recent period (1998–2014), MAM, JJA and SON show similar warming trends, while DJF shows opposite trends. The results show that the ability of CMA-LAST for describing the global temperature changes is similar with other existing products, while there are some differences when describing regional temperature changes.
    82 schema:genre research_article
    83 schema:inLanguage en
    84 schema:isAccessibleForFree true
    85 schema:isPartOf N30ff6df7b9014c0692dfa968f5e14ed7
    86 Nfbcf56db3fb9487288988fd938f18216
    87 sg:journal.1049631
    88 schema:name A new integrated and homogenized global monthly land surface air temperature dataset for the period since 1900
    89 schema:pagination 2513-2536
    90 schema:productId N62422df9d50e4808b745f459357c4c0a
    91 Nbe9e0a4689e047978ecce2682106b67d
    92 Nf4b18bbe611843c190718ffdbddbd131
    93 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086125561
    94 https://doi.org/10.1007/s00382-017-3755-1
    95 schema:sdDatePublished 2019-04-11T10:15
    96 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    97 schema:sdPublisher Ne192b9fa430c4444b0209a30353a6a55
    98 schema:url https://link.springer.com/10.1007%2Fs00382-017-3755-1
    99 sgo:license sg:explorer/license/
    100 sgo:sdDataset articles
    101 rdf:type schema:ScholarlyArticle
    102 N0a1e8722091f414594d387f96febfa8c rdf:first sg:person.011704330106.44
    103 rdf:rest N37dabb1cd59f479bb9f446622459813f
    104 N30ff6df7b9014c0692dfa968f5e14ed7 schema:issueNumber 7-8
    105 rdf:type schema:PublicationIssue
    106 N3718f7b01703414080137a06ce11503e rdf:first sg:person.012710350755.60
    107 rdf:rest N7719402433414f3ca7a6fc800fc3e3e6
    108 N37dabb1cd59f479bb9f446622459813f rdf:first sg:person.011622455536.28
    109 rdf:rest Nec5675560d664367a47ce403c3ec7e2b
    110 N43671a7ff0394ace881c1b5156866dca rdf:first sg:person.0627557260.20
    111 rdf:rest N8779ff41b1c54ef9a129760be4981d38
    112 N437bd0f80caf40169b4f33b03507876e rdf:first N73e509a88c7e461094d70e7ee5036a1e
    113 rdf:rest Na1111bf088084d3aa00b030c523fba6a
    114 N62422df9d50e4808b745f459357c4c0a schema:name dimensions_id
    115 schema:value pub.1086125561
    116 rdf:type schema:PropertyValue
    117 N73c52bb4246a4bcba00130543d0fc5ac rdf:first sg:person.010160355260.62
    118 rdf:rest N3718f7b01703414080137a06ce11503e
    119 N73e509a88c7e461094d70e7ee5036a1e schema:affiliation https://www.grid.ac/institutes/grid.8658.3
    120 schema:familyName Zhu
    121 schema:givenName Chen
    122 rdf:type schema:Person
    123 N7719402433414f3ca7a6fc800fc3e3e6 rdf:first sg:person.010450770353.25
    124 rdf:rest N437bd0f80caf40169b4f33b03507876e
    125 N8779ff41b1c54ef9a129760be4981d38 rdf:first sg:person.011630464253.16
    126 rdf:rest Nd517f5cef614442c93ccb13508f2eb08
    127 Na1111bf088084d3aa00b030c523fba6a rdf:first sg:person.015607447515.03
    128 rdf:rest N43671a7ff0394ace881c1b5156866dca
    129 Nbe9e0a4689e047978ecce2682106b67d schema:name doi
    130 schema:value 10.1007/s00382-017-3755-1
    131 rdf:type schema:PropertyValue
    132 Nd517f5cef614442c93ccb13508f2eb08 rdf:first sg:person.0601456034.82
    133 rdf:rest Ndae6867a353a41a9937383daf6a81521
    134 Nd723f6be4c3b4ef6973fbe19e77358af rdf:first sg:person.015555264223.74
    135 rdf:rest rdf:nil
    136 Ndae6867a353a41a9937383daf6a81521 rdf:first sg:person.014257213306.32
    137 rdf:rest Nd723f6be4c3b4ef6973fbe19e77358af
    138 Ne192b9fa430c4444b0209a30353a6a55 schema:name Springer Nature - SN SciGraph project
    139 rdf:type schema:Organization
    140 Nec5675560d664367a47ce403c3ec7e2b rdf:first sg:person.0721646017.58
    141 rdf:rest N73c52bb4246a4bcba00130543d0fc5ac
    142 Nf4b18bbe611843c190718ffdbddbd131 schema:name readcube_id
    143 schema:value c18a0756e9575ed8321f4d323e2277cbb7de5a8ffc7f26ee2cfb3314b5150045
    144 rdf:type schema:PropertyValue
    145 Nfbcf56db3fb9487288988fd938f18216 schema:volumeNumber 50
    146 rdf:type schema:PublicationVolume
    147 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
    148 schema:name Engineering
    149 rdf:type schema:DefinedTerm
    150 anzsrc-for:0909 schema:inDefinedTermSet anzsrc-for:
    151 schema:name Geomatic Engineering
    152 rdf:type schema:DefinedTerm
    153 sg:journal.1049631 schema:issn 0930-7575
    154 1432-0894
    155 schema:name Climate Dynamics
    156 rdf:type schema:Periodical
    157 sg:person.010160355260.62 schema:affiliation https://www.grid.ac/institutes/grid.410334.1
    158 schema:familyName Wang
    159 schema:givenName Xiaolan L.
    160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010160355260.62
    161 rdf:type schema:Person
    162 sg:person.010450770353.25 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
    163 schema:familyName Yang
    164 schema:givenName Su
    165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010450770353.25
    166 rdf:type schema:Person
    167 sg:person.011622455536.28 schema:affiliation https://www.grid.ac/institutes/grid.12981.33
    168 schema:familyName Li
    169 schema:givenName Qingxiang
    170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011622455536.28
    171 rdf:type schema:Person
    172 sg:person.011630464253.16 schema:affiliation https://www.grid.ac/institutes/grid.410334.1
    173 schema:familyName Vincent
    174 schema:givenName Lucie
    175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011630464253.16
    176 rdf:type schema:Person
    177 sg:person.011704330106.44 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
    178 schema:familyName Xu
    179 schema:givenName Wenhui
    180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011704330106.44
    181 rdf:type schema:Person
    182 sg:person.012710350755.60 schema:affiliation https://www.grid.ac/institutes/grid.1527.1
    183 schema:familyName Trewin
    184 schema:givenName Blair
    185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012710350755.60
    186 rdf:type schema:Person
    187 sg:person.014257213306.32 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
    188 schema:familyName Gao
    189 schema:givenName Yun
    190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014257213306.32
    191 rdf:type schema:Person
    192 sg:person.015555264223.74 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
    193 schema:familyName Ding
    194 schema:givenName Yihui
    195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015555264223.74
    196 rdf:type schema:Person
    197 sg:person.015607447515.03 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
    198 schema:familyName Zhai
    199 schema:givenName Panmao
    200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015607447515.03
    201 rdf:type schema:Person
    202 sg:person.0601456034.82 schema:affiliation https://www.grid.ac/institutes/grid.265850.c
    203 schema:familyName Dai
    204 schema:givenName Aiguo
    205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0601456034.82
    206 rdf:type schema:Person
    207 sg:person.0627557260.20 schema:affiliation https://www.grid.ac/institutes/grid.424975.9
    208 schema:familyName Wang
    209 schema:givenName Jinfeng
    210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627557260.20
    211 rdf:type schema:Person
    212 sg:person.0721646017.58 schema:affiliation https://www.grid.ac/institutes/grid.412125.1
    213 schema:familyName Jones
    214 schema:givenName Phil
    215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721646017.58
    216 rdf:type schema:Person
    217 sg:pub.10.1007/bf02841101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007193329
    218 https://doi.org/10.1007/bf02841101
    219 rdf:type schema:CreativeWork
    220 sg:pub.10.1007/bf02915712 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028285792
    221 https://doi.org/10.1007/bf02915712
    222 rdf:type schema:CreativeWork
    223 sg:pub.10.1007/s00376-009-0143-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040455200
    224 https://doi.org/10.1007/s00376-009-0143-8
    225 rdf:type schema:CreativeWork
    226 sg:pub.10.1007/s00376-009-9052-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000498742
    227 https://doi.org/10.1007/s00376-009-9052-0
    228 rdf:type schema:CreativeWork
    229 sg:pub.10.1007/s00376-015-5194-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028768668
    230 https://doi.org/10.1007/s00376-015-5194-4
    231 rdf:type schema:CreativeWork
    232 sg:pub.10.1007/s00382-009-0735-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021206751
    233 https://doi.org/10.1007/s00382-009-0735-0
    234 rdf:type schema:CreativeWork
    235 sg:pub.10.1007/s00704-004-0065-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024486834
    236 https://doi.org/10.1007/s00704-004-0065-4
    237 rdf:type schema:CreativeWork
    238 sg:pub.10.1007/s00704-009-0155-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000629037
    239 https://doi.org/10.1007/s00704-009-0155-4
    240 rdf:type schema:CreativeWork
    241 sg:pub.10.1007/s11434-010-3209-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027101108
    242 https://doi.org/10.1007/s11434-010-3209-1
    243 rdf:type schema:CreativeWork
    244 sg:pub.10.1038/432290a schema:sameAs https://app.dimensions.ai/details/publication/pub.1011765664
    245 https://doi.org/10.1038/432290a
    246 rdf:type schema:CreativeWork
    247 sg:pub.10.1038/nclimate2605 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042378111
    248 https://doi.org/10.1038/nclimate2605
    249 rdf:type schema:CreativeWork
    250 sg:pub.10.1038/srep12324 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020443568
    251 https://doi.org/10.1038/srep12324
    252 rdf:type schema:CreativeWork
    253 sg:pub.10.1038/srep13711 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040764266
    254 https://doi.org/10.1038/srep13711
    255 rdf:type schema:CreativeWork
    256 sg:pub.10.1038/srep19831 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049721249
    257 https://doi.org/10.1038/srep19831
    258 rdf:type schema:CreativeWork
    259 https://doi.org/10.1002/(sici)1097-0088(19981115)18:13<1493::aid-joc329>3.0.co;2-t schema:sameAs https://app.dimensions.ai/details/publication/pub.1049735928
    260 rdf:type schema:CreativeWork
    261 https://doi.org/10.1002/2013jd020542 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012424064
    262 rdf:type schema:CreativeWork
    263 https://doi.org/10.1002/2014gl062773 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035473875
    264 rdf:type schema:CreativeWork
    265 https://doi.org/10.1002/gdj3.8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026892565
    266 rdf:type schema:CreativeWork
    267 https://doi.org/10.1002/jgrd.50615 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031359294
    268 rdf:type schema:CreativeWork
    269 https://doi.org/10.1002/jgrd.50791 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048512715
    270 rdf:type schema:CreativeWork
    271 https://doi.org/10.1002/joc.1047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049817320
    272 rdf:type schema:CreativeWork
    273 https://doi.org/10.1002/joc.1377 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041147823
    274 rdf:type schema:CreativeWork
    275 https://doi.org/10.1002/joc.1971 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016826377
    276 rdf:type schema:CreativeWork
    277 https://doi.org/10.1002/joc.3370140102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034406284
    278 rdf:type schema:CreativeWork
    279 https://doi.org/10.1002/joc.3370140606 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023510738
    280 rdf:type schema:CreativeWork
    281 https://doi.org/10.1002/joc.3530 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042641567
    282 rdf:type schema:CreativeWork
    283 https://doi.org/10.1002/joc.3711 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038108572
    284 rdf:type schema:CreativeWork
    285 https://doi.org/10.1002/joc.4174 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005968985
    286 rdf:type schema:CreativeWork
    287 https://doi.org/10.1002/joc.773 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052275672
    288 rdf:type schema:CreativeWork
    289 https://doi.org/10.1002/joc.906 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024856610
    290 rdf:type schema:CreativeWork
    291 https://doi.org/10.1002/qj.2297 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015018930
    292 rdf:type schema:CreativeWork
    293 https://doi.org/10.1002/qj.2949 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023674991
    294 rdf:type schema:CreativeWork
    295 https://doi.org/10.1029/01eo00270 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028832275
    296 rdf:type schema:CreativeWork
    297 https://doi.org/10.1029/1998wr900018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046937571
    298 rdf:type schema:CreativeWork
    299 https://doi.org/10.1029/1999jd900835 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030852090
    300 rdf:type schema:CreativeWork
    301 https://doi.org/10.1029/1999rg900002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002507346
    302 rdf:type schema:CreativeWork
    303 https://doi.org/10.1029/2005jd006290 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012024490
    304 rdf:type schema:CreativeWork
    305 https://doi.org/10.1029/2005jd006548 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000063736
    306 rdf:type schema:CreativeWork
    307 https://doi.org/10.1029/2008jd009916 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040676896
    308 rdf:type schema:CreativeWork
    309 https://doi.org/10.1029/2010rg000345 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016459561
    310 rdf:type schema:CreativeWork
    311 https://doi.org/10.1029/2011jd016187 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010819374
    312 rdf:type schema:CreativeWork
    313 https://doi.org/10.1029/2011jd016761 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046780568
    314 rdf:type schema:CreativeWork
    315 https://doi.org/10.1029/2011jd017139 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000480607
    316 rdf:type schema:CreativeWork
    317 https://doi.org/10.1029/2012jd017729 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052966106
    318 rdf:type schema:CreativeWork
    319 https://doi.org/10.1029/2012jd017859 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050553120
    320 rdf:type schema:CreativeWork
    321 https://doi.org/10.1029/jc090ic05p08995 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014769185
    322 rdf:type schema:CreativeWork
    323 https://doi.org/10.1073/pnas.0400357101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008211130
    324 rdf:type schema:CreativeWork
    325 https://doi.org/10.1073/pnas.0606291103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021968013
    326 rdf:type schema:CreativeWork
    327 https://doi.org/10.1080/02723646.1981.10642213 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106957090
    328 rdf:type schema:CreativeWork
    329 https://doi.org/10.1080/07055900.2013.818526 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023930824
    330 rdf:type schema:CreativeWork
    331 https://doi.org/10.1088/1748-9326/9/1/015001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017556436
    332 rdf:type schema:CreativeWork
    333 https://doi.org/10.1126/science.aaa5632 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031432406
    334 rdf:type schema:CreativeWork
    335 https://doi.org/10.1175/1520-0442(1994)007<1794:hsatva>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018967105
    336 rdf:type schema:CreativeWork
    337 https://doi.org/10.1175/1520-0442(2003)016<0206:halssa>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000480591
    338 rdf:type schema:CreativeWork
    339 https://doi.org/10.1175/1520-0442(2003)016<2941:aouvri>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036683384
    340 rdf:type schema:CreativeWork
    341 https://doi.org/10.1175/1520-0477(1997)078<2837:aootgh>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053015696
    342 rdf:type schema:CreativeWork
    343 https://doi.org/10.1175/2007jamc1706.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033868037
    344 rdf:type schema:CreativeWork
    345 https://doi.org/10.1175/2007jcli2100.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040291252
    346 rdf:type schema:CreativeWork
    347 https://doi.org/10.1175/2007jtecha982.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013359126
    348 rdf:type schema:CreativeWork
    349 https://doi.org/10.1175/2008jamc1741.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040705760
    350 rdf:type schema:CreativeWork
    351 https://doi.org/10.1175/2008jcli2263.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031099820
    352 rdf:type schema:CreativeWork
    353 https://doi.org/10.1175/2009bams2736.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011203166
    354 rdf:type schema:CreativeWork
    355 https://doi.org/10.1175/2009jcli3200.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045065495
    356 rdf:type schema:CreativeWork
    357 https://doi.org/10.1175/2010jamc2376.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004594438
    358 rdf:type schema:CreativeWork
    359 https://doi.org/10.1175/2010jcli3816.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025997292
    360 rdf:type schema:CreativeWork
    361 https://doi.org/10.1175/bams-d-14-00106.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034361581
    362 rdf:type schema:CreativeWork
    363 https://doi.org/10.1175/bams-d-16-0092.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003415604
    364 rdf:type schema:CreativeWork
    365 https://doi.org/10.1175/jam2504.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029718107
    366 rdf:type schema:CreativeWork
    367 https://doi.org/10.1175/jcli-d-14-00427.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034535177
    368 rdf:type schema:CreativeWork
    369 https://doi.org/10.1175/jcli-d-14-00697.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038924031
    370 rdf:type schema:CreativeWork
    371 https://doi.org/10.1175/jcli3366.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045132887
    372 rdf:type schema:CreativeWork
    373 https://doi.org/10.1175/jcli3431.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005441257
    374 rdf:type schema:CreativeWork
    375 https://doi.org/10.1175/jcli3730.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051509285
    376 rdf:type schema:CreativeWork
    377 https://doi.org/10.4172/2327-4581.1000101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000223559
    378 rdf:type schema:CreativeWork
    379 https://doi.org/10.5194/cp-8-89-2012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051700421
    380 rdf:type schema:CreativeWork
    381 https://www.grid.ac/institutes/grid.12981.33 schema:alternateName Sun Yat-sen University
    382 schema:name School of Atmospheric Sciences, Sun Yat-sen University, 135 Xingangxi Road, 510275, Guangzhou, China
    383 rdf:type schema:Organization
    384 https://www.grid.ac/institutes/grid.1527.1 schema:alternateName Bureau of Meteorology
    385 schema:name Australian Bureau of Meteorology, Melbourne, VIC, Australia
    386 rdf:type schema:Organization
    387 https://www.grid.ac/institutes/grid.265850.c schema:alternateName University at Albany, State University of New York
    388 schema:name Department of Atmospheric and Environmental Sciences, University at Albany, SUNY, 12222, Albany, NY, USA
    389 rdf:type schema:Organization
    390 https://www.grid.ac/institutes/grid.410334.1 schema:alternateName Environment Canada
    391 schema:name Climate Research Division, Science and Technology Branch, Environment and Climate Change Canada, Toronto, ON, Canada
    392 rdf:type schema:Organization
    393 https://www.grid.ac/institutes/grid.412125.1 schema:alternateName King Abdulaziz University
    394 schema:name Center of Excellence for Climate Change Research, Department of Meteorology, King Abdulaziz University, 21589, Jeddah, Saudi Arabia
    395 Climatic Research Unit, School of Environmental Sciences, University of East Anglia, NR4 7TJ, Norwich, UK
    396 rdf:type schema:Organization
    397 https://www.grid.ac/institutes/grid.424975.9 schema:alternateName Institute of Geographic Sciences and Natural Resources Research
    398 schema:name LREIS, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China
    399 rdf:type schema:Organization
    400 https://www.grid.ac/institutes/grid.8658.3 schema:alternateName China Meteorological Administration
    401 schema:name China Meteorological Administration, 46 Zhongguancun South Avenue, Haidian District, 100081, Beijing, China
    402 China Meteorological Administration, China Academy of Meteorological Sciences, 46 Zhongguancun South Avenue, Haidian District, 100081, Beijing, China
    403 China Meteorological Administration, National Climate Center, 46 Zhongguancun South Avenue, Haidian District, 100081, Beijing, China
    404 China Meteorological Administration, National Meteorological Information Center, 46 Zhongguancun South Avenue, Haidian District, 100081, Beijing, China
    405 rdf:type schema:Organization
     




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


    ...