Assessment of surface air warming in northeast China, with emphasis on the impacts of urbanization View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-01

AUTHORS

Qingxiang Li, Wei Li, Peng Si, Gao Xiaorong, Wenjie Dong, Phil Jones, Jiayou Huang, Lijuan Cao

ABSTRACT

Based on homogenized land surface air temperature (SAT) data (derived from China Homogenized Historical Temperature (CHHT) 1.0), the warming trends over Northeast China are detected in this paper, and the impacts of urban heat islands (UHIs) evaluated. Results show that this region is undergoing rapid warming: the trends of annual mean minimum temperature (MMIT), mean temperature (MT), and mean maximum temperature (MMAT) are 0.40 C decade−1, 0.32 C decade−1, and 0.23 C decade−1, respectively. Regional average temperature series built with these networks including and excluding “typical urban stations” are compared for the periods of 1954–2005. Although impacts of UHIs on the absolute annual and seasonal temperature are identified, UHI contributions to the long-term trends are less than 10% of the regional total warming during the period. The large warming trend during the period is due to a regime shift in around 1988, which accounted for about 51% of the regional warming. More... »

PAGES

469

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00704-009-0155-4

DOI

http://dx.doi.org/10.1007/s00704-009-0155-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1000629037


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0406", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Geography and Environmental Geoscience", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/04", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Earth Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "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": "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": "China Meteorological Administration", 
          "id": "https://www.grid.ac/institutes/grid.8658.3", 
          "name": [
            "National Meteorological Center, China Meteorological Administration, 100081, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Wei", 
        "id": "sg:person.010453620107.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010453620107.71"
        ], 
        "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", 
            "Tianjing Municipal Meteorological Information Center, 300074, Tianjing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Si", 
        "givenName": "Peng", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Lanzhou University", 
          "id": "https://www.grid.ac/institutes/grid.32566.34", 
          "name": [
            "China Meteorological Administration, 46 Zhongguancun South Avenue, Haidian District, 100081, Beijing, China", 
            "Institute of Atmospheric Sciences, Lanzhou University, 730000, Lanzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xiaorong", 
        "givenName": "Gao", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beijing Normal University", 
          "id": "https://www.grid.ac/institutes/grid.20513.35", 
          "name": [
            "State Key Laboratory of Earth Surface Process and Resource Ecology, Beijing Normal University, 100875, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dong", 
        "givenName": "Wenjie", 
        "id": "sg:person.012322517777.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012322517777.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of East Anglia", 
          "id": "https://www.grid.ac/institutes/grid.8273.e", 
          "name": [
            "Climate Research Unit, School of Environmental Sciences, University of East Anglia, NR4 7TJ, Norwich, UK"
          ], 
          "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": "Peking University", 
          "id": "https://www.grid.ac/institutes/grid.11135.37", 
          "name": [
            "Institute of Physics, Peking University, 100871, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Huang", 
        "givenName": "Jiayou", 
        "id": "sg:person.015161650141.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015161650141.57"
        ], 
        "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": "Cao", 
        "givenName": "Lijuan", 
        "id": "sg:person.015315233177.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015315233177.43"
        ], 
        "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/10.1029/2007jd009549", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004775182"
        ], 
        "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/10.1175/2009bams2736.1", 
        "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/10.1175/1520-0442(1990)003<0662:edocgc>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011958915"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2006gl027927", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012770867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0442(2001)014<2833:ltccat>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013880302"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0088(199604)16:4<361::aid-joc53>3.0.co;2-f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016647617"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/2007jcli1348.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016826134"
        ], 
        "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/10.1175/1520-0442(1999)012<1344:ttotus>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017449030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0442(1988)001<1099:uidaei>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020891715"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.277.5324.364", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022158955"
        ], 
        "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/10.1029/jd092id11p13345", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025791400"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00704-006-0273-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027348628", 
          "https://doi.org/10.1007/s00704-006-0273-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00704-006-0273-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027348628", 
          "https://doi.org/10.1007/s00704-006-0273-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/98jd01168", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031930391"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2004gl019448", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032296569"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/347169a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036545518", 
          "https://doi.org/10.1038/347169a0"
        ], 
        "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": "sg:pub.10.1038/nature01675", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039025079", 
          "https://doi.org/10.1038/nature01675"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01675", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039025079", 
          "https://doi.org/10.1038/nature01675"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2008jd009916", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040676896"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0450(1986)025<1213:shsatv>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042758895"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0442(1996)009<2941:tioluc>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042821636"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03183238", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044743388", 
          "https://doi.org/10.1007/bf03183238"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03183238", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044743388", 
          "https://doi.org/10.1007/bf03183238"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2004jd005306", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045404619"
        ], 
        "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/10.1175/jcli3730.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051509285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0450(1986)025<0161:nhsatv>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051729171"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1360/03tb9084", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065067726"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-01", 
    "datePublishedReg": "2010-01-01", 
    "description": "Based on homogenized land surface air temperature (SAT) data (derived from China Homogenized Historical Temperature (CHHT) 1.0), the warming trends over Northeast China are detected in this paper, and the impacts of urban heat islands (UHIs) evaluated. Results show that this region is undergoing rapid warming: the trends of annual mean minimum temperature (MMIT), mean temperature (MT), and mean maximum temperature (MMAT) are 0.40 C decade\u22121, 0.32 C decade\u22121, and 0.23 C decade\u22121, respectively. Regional average temperature series built with these networks including and excluding \u201ctypical urban stations\u201d are compared for the periods of 1954\u20132005. Although impacts of UHIs on the absolute annual and seasonal temperature are identified, UHI contributions to the long-term trends are less than 10% of the regional total warming during the period. The large warming trend during the period is due to a regime shift in around 1988, which accounted for about 51% of the regional warming.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00704-009-0155-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.4966167", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1086664", 
        "issn": [
          "0177-798X", 
          "1434-4483"
        ], 
        "name": "Theoretical and Applied Climatology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3-4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "99"
      }
    ], 
    "name": "Assessment of surface air warming in northeast China, with emphasis on the impacts of urbanization", 
    "pagination": "469", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "02fecc1d8383181ca06de5f1c91dc30f0a1235e1ccad0c37fc3525b1b95074ff"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00704-009-0155-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1000629037"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00704-009-0155-4", 
      "https://app.dimensions.ai/details/publication/pub.1000629037"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:27", 
    "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/v90/0000000373_0000000373/records_13078_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00704-009-0155-4"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00704-009-0155-4'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00704-009-0155-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00704-009-0155-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00704-009-0155-4'


 

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

224 TRIPLES      21 PREDICATES      58 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00704-009-0155-4 schema:about anzsrc-for:04
2 anzsrc-for:0406
3 schema:author N5198b24f8545407899e68b6bbdc2559e
4 schema:citation sg:pub.10.1007/bf03183238
5 sg:pub.10.1007/s00704-004-0065-4
6 sg:pub.10.1007/s00704-006-0273-1
7 sg:pub.10.1038/347169a0
8 sg:pub.10.1038/432290a
9 sg:pub.10.1038/nature01675
10 https://doi.org/10.1002/(sici)1097-0088(199604)16:4<361::aid-joc53>3.0.co;2-f
11 https://doi.org/10.1002/joc.1047
12 https://doi.org/10.1002/joc.1971
13 https://doi.org/10.1029/2004gl019448
14 https://doi.org/10.1029/2004jd005306
15 https://doi.org/10.1029/2005jd006548
16 https://doi.org/10.1029/2006gl027927
17 https://doi.org/10.1029/2007jd009549
18 https://doi.org/10.1029/2008jd009916
19 https://doi.org/10.1029/98jd01168
20 https://doi.org/10.1029/jd092id11p13345
21 https://doi.org/10.1073/pnas.0400357101
22 https://doi.org/10.1126/science.277.5324.364
23 https://doi.org/10.1175/1520-0442(1988)001<1099:uidaei>2.0.co;2
24 https://doi.org/10.1175/1520-0442(1990)003<0662:edocgc>2.0.co;2
25 https://doi.org/10.1175/1520-0442(1996)009<2941:tioluc>2.0.co;2
26 https://doi.org/10.1175/1520-0442(1999)012<1344:ttotus>2.0.co;2
27 https://doi.org/10.1175/1520-0442(2001)014<2833:ltccat>2.0.co;2
28 https://doi.org/10.1175/1520-0442(2003)016<2941:aouvri>2.0.co;2
29 https://doi.org/10.1175/1520-0450(1986)025<0161:nhsatv>2.0.co;2
30 https://doi.org/10.1175/1520-0450(1986)025<1213:shsatv>2.0.co;2
31 https://doi.org/10.1175/2007jcli1348.1
32 https://doi.org/10.1175/2009bams2736.1
33 https://doi.org/10.1175/jcli3730.1
34 https://doi.org/10.1360/03tb9084
35 schema:datePublished 2010-01
36 schema:datePublishedReg 2010-01-01
37 schema:description Based on homogenized land surface air temperature (SAT) data (derived from China Homogenized Historical Temperature (CHHT) 1.0), the warming trends over Northeast China are detected in this paper, and the impacts of urban heat islands (UHIs) evaluated. Results show that this region is undergoing rapid warming: the trends of annual mean minimum temperature (MMIT), mean temperature (MT), and mean maximum temperature (MMAT) are 0.40 C decade−1, 0.32 C decade−1, and 0.23 C decade−1, respectively. Regional average temperature series built with these networks including and excluding “typical urban stations” are compared for the periods of 1954–2005. Although impacts of UHIs on the absolute annual and seasonal temperature are identified, UHI contributions to the long-term trends are less than 10% of the regional total warming during the period. The large warming trend during the period is due to a regime shift in around 1988, which accounted for about 51% of the regional warming.
38 schema:genre research_article
39 schema:inLanguage en
40 schema:isAccessibleForFree false
41 schema:isPartOf N0820bfe09eb14a668a7e8480cf7bf56a
42 Nb75d7c3b7e174ccb8d3560295ff95bb7
43 sg:journal.1086664
44 schema:name Assessment of surface air warming in northeast China, with emphasis on the impacts of urbanization
45 schema:pagination 469
46 schema:productId N0afb80e23c5d497fb003e7abf650af2e
47 N9d2cefeccf7240adab7420b73685f368
48 Ne497784efd9147079b6c4376475ccd34
49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000629037
50 https://doi.org/10.1007/s00704-009-0155-4
51 schema:sdDatePublished 2019-04-11T14:27
52 schema:sdLicense https://scigraph.springernature.com/explorer/license/
53 schema:sdPublisher N19ee9f9ad14344799cd5e05cb6fc8359
54 schema:url http://link.springer.com/10.1007/s00704-009-0155-4
55 sgo:license sg:explorer/license/
56 sgo:sdDataset articles
57 rdf:type schema:ScholarlyArticle
58 N0820bfe09eb14a668a7e8480cf7bf56a schema:issueNumber 3-4
59 rdf:type schema:PublicationIssue
60 N0afb80e23c5d497fb003e7abf650af2e schema:name dimensions_id
61 schema:value pub.1000629037
62 rdf:type schema:PropertyValue
63 N16e6769aa2924c1f8fd6e148e468677f schema:affiliation https://www.grid.ac/institutes/grid.32566.34
64 schema:familyName Xiaorong
65 schema:givenName Gao
66 rdf:type schema:Person
67 N19ee9f9ad14344799cd5e05cb6fc8359 schema:name Springer Nature - SN SciGraph project
68 rdf:type schema:Organization
69 N41c7b7ae9d5d4270a70d80f599aadfad rdf:first sg:person.012322517777.49
70 rdf:rest N50d89055404c42ed935b821f8c46a18d
71 N50d89055404c42ed935b821f8c46a18d rdf:first sg:person.0721646017.58
72 rdf:rest Nd94d20d179ed436793fabf02fe5553e4
73 N5198b24f8545407899e68b6bbdc2559e rdf:first sg:person.011622455536.28
74 rdf:rest Nde4e2d5ac2c54cde8057f04c3fa1b217
75 N8b933885f34f4ce38cd3a9044e4466b3 rdf:first N16e6769aa2924c1f8fd6e148e468677f
76 rdf:rest N41c7b7ae9d5d4270a70d80f599aadfad
77 N9d2cefeccf7240adab7420b73685f368 schema:name readcube_id
78 schema:value 02fecc1d8383181ca06de5f1c91dc30f0a1235e1ccad0c37fc3525b1b95074ff
79 rdf:type schema:PropertyValue
80 Naaa6c9f22f5948f8a18a83186be57b82 rdf:first sg:person.015315233177.43
81 rdf:rest rdf:nil
82 Nb75d7c3b7e174ccb8d3560295ff95bb7 schema:volumeNumber 99
83 rdf:type schema:PublicationVolume
84 Nc6f5026b12c24df59e70b13adf8987c2 rdf:first Nfb4cfd5b1e154fd78fd60831853260c8
85 rdf:rest N8b933885f34f4ce38cd3a9044e4466b3
86 Nd94d20d179ed436793fabf02fe5553e4 rdf:first sg:person.015161650141.57
87 rdf:rest Naaa6c9f22f5948f8a18a83186be57b82
88 Nde4e2d5ac2c54cde8057f04c3fa1b217 rdf:first sg:person.010453620107.71
89 rdf:rest Nc6f5026b12c24df59e70b13adf8987c2
90 Ne497784efd9147079b6c4376475ccd34 schema:name doi
91 schema:value 10.1007/s00704-009-0155-4
92 rdf:type schema:PropertyValue
93 Nfb4cfd5b1e154fd78fd60831853260c8 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
94 schema:familyName Si
95 schema:givenName Peng
96 rdf:type schema:Person
97 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
98 schema:name Earth Sciences
99 rdf:type schema:DefinedTerm
100 anzsrc-for:0406 schema:inDefinedTermSet anzsrc-for:
101 schema:name Physical Geography and Environmental Geoscience
102 rdf:type schema:DefinedTerm
103 sg:grant.4966167 http://pending.schema.org/fundedItem sg:pub.10.1007/s00704-009-0155-4
104 rdf:type schema:MonetaryGrant
105 sg:journal.1086664 schema:issn 0177-798X
106 1434-4483
107 schema:name Theoretical and Applied Climatology
108 rdf:type schema:Periodical
109 sg:person.010453620107.71 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
110 schema:familyName Li
111 schema:givenName Wei
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010453620107.71
113 rdf:type schema:Person
114 sg:person.011622455536.28 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
115 schema:familyName Li
116 schema:givenName Qingxiang
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011622455536.28
118 rdf:type schema:Person
119 sg:person.012322517777.49 schema:affiliation https://www.grid.ac/institutes/grid.20513.35
120 schema:familyName Dong
121 schema:givenName Wenjie
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012322517777.49
123 rdf:type schema:Person
124 sg:person.015161650141.57 schema:affiliation https://www.grid.ac/institutes/grid.11135.37
125 schema:familyName Huang
126 schema:givenName Jiayou
127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015161650141.57
128 rdf:type schema:Person
129 sg:person.015315233177.43 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
130 schema:familyName Cao
131 schema:givenName Lijuan
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015315233177.43
133 rdf:type schema:Person
134 sg:person.0721646017.58 schema:affiliation https://www.grid.ac/institutes/grid.8273.e
135 schema:familyName Jones
136 schema:givenName Phil
137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721646017.58
138 rdf:type schema:Person
139 sg:pub.10.1007/bf03183238 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044743388
140 https://doi.org/10.1007/bf03183238
141 rdf:type schema:CreativeWork
142 sg:pub.10.1007/s00704-004-0065-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024486834
143 https://doi.org/10.1007/s00704-004-0065-4
144 rdf:type schema:CreativeWork
145 sg:pub.10.1007/s00704-006-0273-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027348628
146 https://doi.org/10.1007/s00704-006-0273-1
147 rdf:type schema:CreativeWork
148 sg:pub.10.1038/347169a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036545518
149 https://doi.org/10.1038/347169a0
150 rdf:type schema:CreativeWork
151 sg:pub.10.1038/432290a schema:sameAs https://app.dimensions.ai/details/publication/pub.1011765664
152 https://doi.org/10.1038/432290a
153 rdf:type schema:CreativeWork
154 sg:pub.10.1038/nature01675 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039025079
155 https://doi.org/10.1038/nature01675
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1002/(sici)1097-0088(199604)16:4<361::aid-joc53>3.0.co;2-f schema:sameAs https://app.dimensions.ai/details/publication/pub.1016647617
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1002/joc.1047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049817320
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1002/joc.1971 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016826377
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1029/2004gl019448 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032296569
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1029/2004jd005306 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045404619
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1029/2005jd006548 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000063736
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1029/2006gl027927 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012770867
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1029/2007jd009549 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004775182
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1029/2008jd009916 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040676896
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1029/98jd01168 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031930391
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1029/jd092id11p13345 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025791400
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1073/pnas.0400357101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008211130
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1126/science.277.5324.364 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022158955
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1175/1520-0442(1988)001<1099:uidaei>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020891715
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1175/1520-0442(1990)003<0662:edocgc>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011958915
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1175/1520-0442(1996)009<2941:tioluc>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042821636
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1175/1520-0442(1999)012<1344:ttotus>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017449030
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1175/1520-0442(2001)014<2833:ltccat>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013880302
192 rdf:type schema:CreativeWork
193 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
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1175/1520-0450(1986)025<0161:nhsatv>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051729171
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1175/1520-0450(1986)025<1213:shsatv>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042758895
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1175/2007jcli1348.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016826134
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1175/2009bams2736.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011203166
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1175/jcli3730.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051509285
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1360/03tb9084 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065067726
206 rdf:type schema:CreativeWork
207 https://www.grid.ac/institutes/grid.11135.37 schema:alternateName Peking University
208 schema:name Institute of Physics, Peking University, 100871, Beijing, China
209 rdf:type schema:Organization
210 https://www.grid.ac/institutes/grid.20513.35 schema:alternateName Beijing Normal University
211 schema:name State Key Laboratory of Earth Surface Process and Resource Ecology, Beijing Normal University, 100875, Beijing, China
212 rdf:type schema:Organization
213 https://www.grid.ac/institutes/grid.32566.34 schema:alternateName Lanzhou University
214 schema:name China Meteorological Administration, 46 Zhongguancun South Avenue, Haidian District, 100081, Beijing, China
215 Institute of Atmospheric Sciences, Lanzhou University, 730000, Lanzhou, China
216 rdf:type schema:Organization
217 https://www.grid.ac/institutes/grid.8273.e schema:alternateName University of East Anglia
218 schema:name Climate Research Unit, School of Environmental Sciences, University of East Anglia, NR4 7TJ, Norwich, UK
219 rdf:type schema:Organization
220 https://www.grid.ac/institutes/grid.8658.3 schema:alternateName China Meteorological Administration
221 schema:name China Meteorological Administration, 46 Zhongguancun South Avenue, Haidian District, 100081, Beijing, China
222 National Meteorological Center, China Meteorological Administration, 100081, Beijing, China
223 Tianjing Municipal Meteorological Information Center, 300074, Tianjing, China
224 rdf:type schema:Organization
 




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


...