Assessment of the uncertainties in temperature change in China during the last century View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-07

AUTHORS

QingXiang Li, WenJie Dong, Wei Li, XiaoRong Gao, P. Jones, J. Kennedy, D. Parker

ABSTRACT

We have used the China Homogenized Historic Temperature dataset and some long-term station series of the neighbor countries from CRUTEM3, a 5°×5° gridded dataset of monthly mean temperature since 1900, to provide a 107-year record of surface temperature trends and variability. We derived a comprehensive set of uncertainty estimates to accompany the data: measurement and sampling errors, uncertainties in temperature bias estimates, and uncertainties arising from limited observational coverage on large-scale averages have all been estimated. We reanalysed the temperature changes during the period of record. The best estimates of trends for 1900–2006 with uncertainties at 95% confidence range are about 0.09±0.017°C/decade for the year as a whole, and 0.14±0.021°C/decade, 0.11±0.021°C/decade, 0.04±0.017°C/decade, and 0.07±0.017°C/decade for winter, spring, summer and autumn respectively. For 1954–2006, the trends for annual, winter, spring, summer and autumn are: 0.26±0.032°C/decade, 0.35±0.046°C/decade, 0.25±0.051°C/decade, 0.16±0.037°C/decade and 0.22±0.055°C/decade. Winter saw the most significant warming trend in both 1900–2006 and 1954–2006, while during the most recent period (the satellite era, 1979–2006), all the seasons show similar warming trends: 0.45±0.13°C/decade, 0.51±0.11°C/decade, 0.52±0.16°C/decade, 0.37±0.10°C/decade and 0.50±0.16°C/decade for annual, winter, spring, summer and autumn. Trends arising from urbanization have been evaluated as less than 5% of the total warming trend for 1951–2001, so this bias was not removed. More... »

PAGES

1974-1982

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11434-010-3209-1

DOI

http://dx.doi.org/10.1007/s11434-010-3209-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1027101108


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/2008/1608", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Sociology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/16", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Studies in Human Society", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "China Meteorological Administration", 
          "id": "https://www.grid.ac/institutes/grid.8658.3", 
          "name": [
            "National Meteorological Information Center, 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": "Beijing Normal University", 
          "id": "https://www.grid.ac/institutes/grid.20513.35", 
          "name": [
            "Laboratory of Surface Process and Resources Economies, 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": "China Meteorological Administration", 
          "id": "https://www.grid.ac/institutes/grid.8658.3", 
          "name": [
            "National Meteorological Center, 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": [
            "National Meteorological Information Center, 100081, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gao", 
        "givenName": "XiaoRong", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of East Anglia", 
          "id": "https://www.grid.ac/institutes/grid.8273.e", 
          "name": [
            "Climatic Research Unit, School of Environmental Sciences, University of East Anglia, NR4 7TJ, Norwich, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jones", 
        "givenName": "P.", 
        "id": "sg:person.0721646017.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721646017.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Met Office", 
          "id": "https://www.grid.ac/institutes/grid.17100.37", 
          "name": [
            "Met Office Hadley Centre, EX1 3PB, Exeter, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kennedy", 
        "givenName": "J.", 
        "id": "sg:person.013771341351.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013771341351.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Met Office", 
          "id": "https://www.grid.ac/institutes/grid.17100.37", 
          "name": [
            "Met Office Hadley Centre, EX1 3PB, Exeter, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Parker", 
        "givenName": "D.", 
        "id": "sg:person.01361743712.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361743712.37"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1029/2005jd006548", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000063736"
        ], 
        "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/10.1002/joc.3370150403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004474483"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0442(1997)010<2147:amtets>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005522466"
        ], 
        "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/10.1175/1520-0450(1984)023<0201:otavoc>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009865164"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/2009bams2736.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011203166"
        ], 
        "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/10.1029/2000jd900564", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014671606"
        ], 
        "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(1997)010<2548:eseils>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018114608"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2001gl012877", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022229188"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/joc.3370140606", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023510738"
        ], 
        "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": "sg:pub.10.1007/978-3-642-61113-1_30", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024940684", 
          "https://doi.org/10.1007/978-3-642-61113-1_30"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-61113-1_30", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024940684", 
          "https://doi.org/10.1007/978-3-642-61113-1_30"
        ], 
        "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": "https://doi.org/10.1029/98jd01168", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031930391"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2008jd009916", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040676896"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/095968369300300109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063899144"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/095968369300300109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063899144"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-07", 
    "datePublishedReg": "2010-07-01", 
    "description": "We have used the China Homogenized Historic Temperature dataset and some long-term station series of the neighbor countries from CRUTEM3, a 5\u00b0\u00d75\u00b0 gridded dataset of monthly mean temperature since 1900, to provide a 107-year record of surface temperature trends and variability. We derived a comprehensive set of uncertainty estimates to accompany the data: measurement and sampling errors, uncertainties in temperature bias estimates, and uncertainties arising from limited observational coverage on large-scale averages have all been estimated. We reanalysed the temperature changes during the period of record. The best estimates of trends for 1900\u20132006 with uncertainties at 95% confidence range are about 0.09\u00b10.017\u00b0C/decade for the year as a whole, and 0.14\u00b10.021\u00b0C/decade, 0.11\u00b10.021\u00b0C/decade, 0.04\u00b10.017\u00b0C/decade, and 0.07\u00b10.017\u00b0C/decade for winter, spring, summer and autumn respectively. For 1954\u20132006, the trends for annual, winter, spring, summer and autumn are: 0.26\u00b10.032\u00b0C/decade, 0.35\u00b10.046\u00b0C/decade, 0.25\u00b10.051\u00b0C/decade, 0.16\u00b10.037\u00b0C/decade and 0.22\u00b10.055\u00b0C/decade. Winter saw the most significant warming trend in both 1900\u20132006 and 1954\u20132006, while during the most recent period (the satellite era, 1979\u20132006), all the seasons show similar warming trends: 0.45\u00b10.13\u00b0C/decade, 0.51\u00b10.11\u00b0C/decade, 0.52\u00b10.16\u00b0C/decade, 0.37\u00b10.10\u00b0C/decade and 0.50\u00b10.16\u00b0C/decade for annual, winter, spring, summer and autumn. Trends arising from urbanization have been evaluated as less than 5% of the total warming trend for 1951\u20132001, so this bias was not removed.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11434-010-3209-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1051679", 
        "issn": [
          "2095-9273", 
          "2095-9281"
        ], 
        "name": "Science Bulletin", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "19", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "55"
      }
    ], 
    "name": "Assessment of the uncertainties in temperature change in China during the last century", 
    "pagination": "1974-1982", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "8119efc6a98c229daaa849a262b6ec23581d65c4a103340eda09f1a6fc91f438"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11434-010-3209-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1027101108"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11434-010-3209-1", 
      "https://app.dimensions.ai/details/publication/pub.1027101108"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:38", 
    "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/v90/0000000349_0000000349/records_113677_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11434-010-3209-1"
  }
]
 

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/s11434-010-3209-1'

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/s11434-010-3209-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11434-010-3209-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11434-010-3209-1'


 

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

173 TRIPLES      21 PREDICATES      46 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11434-010-3209-1 schema:about anzsrc-for:16
2 anzsrc-for:1608
3 schema:author Na1adb89c4fcc4c1da94f5d9ce68bdde6
4 schema:citation sg:pub.10.1007/978-3-642-61113-1_30
5 sg:pub.10.1007/bf02915712
6 sg:pub.10.1007/s00704-004-0065-4
7 sg:pub.10.1007/s00704-009-0155-4
8 https://doi.org/10.1002/joc.1971
9 https://doi.org/10.1002/joc.3370140606
10 https://doi.org/10.1002/joc.3370150403
11 https://doi.org/10.1029/2000jd900564
12 https://doi.org/10.1029/2001gl012877
13 https://doi.org/10.1029/2005jd006548
14 https://doi.org/10.1029/2008jd009916
15 https://doi.org/10.1029/98jd01168
16 https://doi.org/10.1073/pnas.0400357101
17 https://doi.org/10.1175/1520-0442(1997)010<2147:amtets>2.0.co;2
18 https://doi.org/10.1175/1520-0442(1997)010<2548:eseils>2.0.co;2
19 https://doi.org/10.1175/1520-0450(1984)023<0201:otavoc>2.0.co;2
20 https://doi.org/10.1175/2007jtecha982.1
21 https://doi.org/10.1175/2009bams2736.1
22 https://doi.org/10.1177/095968369300300109
23 schema:datePublished 2010-07
24 schema:datePublishedReg 2010-07-01
25 schema:description We have used the China Homogenized Historic Temperature dataset and some long-term station series of the neighbor countries from CRUTEM3, a 5°×5° gridded dataset of monthly mean temperature since 1900, to provide a 107-year record of surface temperature trends and variability. We derived a comprehensive set of uncertainty estimates to accompany the data: measurement and sampling errors, uncertainties in temperature bias estimates, and uncertainties arising from limited observational coverage on large-scale averages have all been estimated. We reanalysed the temperature changes during the period of record. The best estimates of trends for 1900–2006 with uncertainties at 95% confidence range are about 0.09±0.017°C/decade for the year as a whole, and 0.14±0.021°C/decade, 0.11±0.021°C/decade, 0.04±0.017°C/decade, and 0.07±0.017°C/decade for winter, spring, summer and autumn respectively. For 1954–2006, the trends for annual, winter, spring, summer and autumn are: 0.26±0.032°C/decade, 0.35±0.046°C/decade, 0.25±0.051°C/decade, 0.16±0.037°C/decade and 0.22±0.055°C/decade. Winter saw the most significant warming trend in both 1900–2006 and 1954–2006, while during the most recent period (the satellite era, 1979–2006), all the seasons show similar warming trends: 0.45±0.13°C/decade, 0.51±0.11°C/decade, 0.52±0.16°C/decade, 0.37±0.10°C/decade and 0.50±0.16°C/decade for annual, winter, spring, summer and autumn. Trends arising from urbanization have been evaluated as less than 5% of the total warming trend for 1951–2001, so this bias was not removed.
26 schema:genre research_article
27 schema:inLanguage en
28 schema:isAccessibleForFree false
29 schema:isPartOf N8ddb1e59e9e1485eae834f27f41bc9d3
30 Nba95095a35e64293942f270e953aab50
31 sg:journal.1051679
32 schema:name Assessment of the uncertainties in temperature change in China during the last century
33 schema:pagination 1974-1982
34 schema:productId N9c3fab713bc847c3bb9b65cdb7481531
35 N9daa85f07b784a7490e399d972fc6108
36 Nfabd2c44da494434921ad575ca30613c
37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027101108
38 https://doi.org/10.1007/s11434-010-3209-1
39 schema:sdDatePublished 2019-04-11T10:38
40 schema:sdLicense https://scigraph.springernature.com/explorer/license/
41 schema:sdPublisher N4b931a21709f46da9c7486c8f22643c6
42 schema:url http://link.springer.com/10.1007%2Fs11434-010-3209-1
43 sgo:license sg:explorer/license/
44 sgo:sdDataset articles
45 rdf:type schema:ScholarlyArticle
46 N1f1a77f5a70f46ad8d63768562969808 rdf:first sg:person.012322517777.49
47 rdf:rest N89c602ca5e5848838625cce8d798fdb6
48 N23733c2f9e3f48b5ae2fea69a70bf782 rdf:first sg:person.013771341351.08
49 rdf:rest N70c5bc7fd7a24b118314f6a56b6f2efb
50 N2741716e72224f0a852f133714a792a6 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
51 schema:familyName Gao
52 schema:givenName XiaoRong
53 rdf:type schema:Person
54 N4b931a21709f46da9c7486c8f22643c6 schema:name Springer Nature - SN SciGraph project
55 rdf:type schema:Organization
56 N70c5bc7fd7a24b118314f6a56b6f2efb rdf:first sg:person.01361743712.37
57 rdf:rest rdf:nil
58 N86f421401ae94ea88142559b2c4bc9b2 rdf:first sg:person.0721646017.58
59 rdf:rest N23733c2f9e3f48b5ae2fea69a70bf782
60 N89c602ca5e5848838625cce8d798fdb6 rdf:first sg:person.010453620107.71
61 rdf:rest Nbf7004b13f184369943c060e03a632fe
62 N8ddb1e59e9e1485eae834f27f41bc9d3 schema:volumeNumber 55
63 rdf:type schema:PublicationVolume
64 N9c3fab713bc847c3bb9b65cdb7481531 schema:name doi
65 schema:value 10.1007/s11434-010-3209-1
66 rdf:type schema:PropertyValue
67 N9daa85f07b784a7490e399d972fc6108 schema:name readcube_id
68 schema:value 8119efc6a98c229daaa849a262b6ec23581d65c4a103340eda09f1a6fc91f438
69 rdf:type schema:PropertyValue
70 Na1adb89c4fcc4c1da94f5d9ce68bdde6 rdf:first sg:person.011622455536.28
71 rdf:rest N1f1a77f5a70f46ad8d63768562969808
72 Nba95095a35e64293942f270e953aab50 schema:issueNumber 19
73 rdf:type schema:PublicationIssue
74 Nbf7004b13f184369943c060e03a632fe rdf:first N2741716e72224f0a852f133714a792a6
75 rdf:rest N86f421401ae94ea88142559b2c4bc9b2
76 Nfabd2c44da494434921ad575ca30613c schema:name dimensions_id
77 schema:value pub.1027101108
78 rdf:type schema:PropertyValue
79 anzsrc-for:16 schema:inDefinedTermSet anzsrc-for:
80 schema:name Studies in Human Society
81 rdf:type schema:DefinedTerm
82 anzsrc-for:1608 schema:inDefinedTermSet anzsrc-for:
83 schema:name Sociology
84 rdf:type schema:DefinedTerm
85 sg:journal.1051679 schema:issn 2095-9273
86 2095-9281
87 schema:name Science Bulletin
88 rdf:type schema:Periodical
89 sg:person.010453620107.71 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
90 schema:familyName Li
91 schema:givenName Wei
92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010453620107.71
93 rdf:type schema:Person
94 sg:person.011622455536.28 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
95 schema:familyName Li
96 schema:givenName QingXiang
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011622455536.28
98 rdf:type schema:Person
99 sg:person.012322517777.49 schema:affiliation https://www.grid.ac/institutes/grid.20513.35
100 schema:familyName Dong
101 schema:givenName WenJie
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012322517777.49
103 rdf:type schema:Person
104 sg:person.01361743712.37 schema:affiliation https://www.grid.ac/institutes/grid.17100.37
105 schema:familyName Parker
106 schema:givenName D.
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361743712.37
108 rdf:type schema:Person
109 sg:person.013771341351.08 schema:affiliation https://www.grid.ac/institutes/grid.17100.37
110 schema:familyName Kennedy
111 schema:givenName J.
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013771341351.08
113 rdf:type schema:Person
114 sg:person.0721646017.58 schema:affiliation https://www.grid.ac/institutes/grid.8273.e
115 schema:familyName Jones
116 schema:givenName P.
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721646017.58
118 rdf:type schema:Person
119 sg:pub.10.1007/978-3-642-61113-1_30 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024940684
120 https://doi.org/10.1007/978-3-642-61113-1_30
121 rdf:type schema:CreativeWork
122 sg:pub.10.1007/bf02915712 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028285792
123 https://doi.org/10.1007/bf02915712
124 rdf:type schema:CreativeWork
125 sg:pub.10.1007/s00704-004-0065-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024486834
126 https://doi.org/10.1007/s00704-004-0065-4
127 rdf:type schema:CreativeWork
128 sg:pub.10.1007/s00704-009-0155-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000629037
129 https://doi.org/10.1007/s00704-009-0155-4
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1002/joc.1971 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016826377
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1002/joc.3370140606 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023510738
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1002/joc.3370150403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004474483
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1029/2000jd900564 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014671606
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1029/2001gl012877 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022229188
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1029/2005jd006548 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000063736
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1029/2008jd009916 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040676896
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1029/98jd01168 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031930391
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1073/pnas.0400357101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008211130
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1175/1520-0442(1997)010<2147:amtets>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005522466
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1175/1520-0442(1997)010<2548:eseils>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018114608
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1175/1520-0450(1984)023<0201:otavoc>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009865164
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1175/2007jtecha982.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013359126
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1175/2009bams2736.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011203166
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1177/095968369300300109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063899144
160 rdf:type schema:CreativeWork
161 https://www.grid.ac/institutes/grid.17100.37 schema:alternateName Met Office
162 schema:name Met Office Hadley Centre, EX1 3PB, Exeter, UK
163 rdf:type schema:Organization
164 https://www.grid.ac/institutes/grid.20513.35 schema:alternateName Beijing Normal University
165 schema:name Laboratory of Surface Process and Resources Economies, Beijing Normal University, 100875, Beijing, China
166 rdf:type schema:Organization
167 https://www.grid.ac/institutes/grid.8273.e schema:alternateName University of East Anglia
168 schema:name Climatic Research Unit, School of Environmental Sciences, University of East Anglia, NR4 7TJ, Norwich, UK
169 rdf:type schema:Organization
170 https://www.grid.ac/institutes/grid.8658.3 schema:alternateName China Meteorological Administration
171 schema:name National Meteorological Center, 100081, Beijing, China
172 National Meteorological Information Center, 100081, Beijing, China
173 rdf:type schema:Organization
 




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


...