Estimation of global temperature trends: what’s important and what isn’t View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-05

AUTHORS

Phil D. Jones, T. M. L. Wigley

ABSTRACT

In this essay we discuss the development of and estimation of uncertainties in the global surface temperature record. We briefly discuss the similarities in and differences between the records from the institutions that produce such series. We then consider the numerous issues that must be addressed to enable accurate estimates to be derived. We consider these in their order of importance with respect to the record: biases in the sea surface temperature data, exposure of land-based thermometers before about 1900, urbanization effects in some series, and, finally, the homogeneity of individual land-based records. More... »

PAGES

59-69

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10584-010-9836-3

DOI

http://dx.doi.org/10.1007/s10584-010-9836-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1012085494


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": "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": "Phil D.", 
        "id": "sg:person.0721646017.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721646017.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Center for Atmospheric Research", 
          "id": "https://www.grid.ac/institutes/grid.57828.30", 
          "name": [
            "NCAR, 80307, Boulder, CO, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wigley", 
        "givenName": "T. M. L.", 
        "id": "sg:person.016171504677.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016171504677.21"
        ], 
        "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/10.1029/2003jd003695", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003857398"
        ], 
        "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/10.1029/2001jd000354", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008630161"
        ], 
        "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/10.1002/(sici)1097-0088(199606)16:6<705::aid-joc30>3.0.co;2-s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015150069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/2008bams2613.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017401254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/qj.49712152206", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018072394"
        ], 
        "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/10.1175/1520-0442(1994)007<1794:hsatva>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018967105"
        ], 
        "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/10.1175/1520-0450(1986)025<0145:amtett>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022035033"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature06982", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022794945", 
          "https://doi.org/10.1038/nature06982"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0477(1991)072<1718:eortci>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025138501"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0442(2002)015<1609:aiisas>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025644996"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-009-9649-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027339557", 
          "https://doi.org/10.1007/s10584-009-9649-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-009-9649-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027339557", 
          "https://doi.org/10.1007/s10584-009-9649-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-009-9649-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027339557", 
          "https://doi.org/10.1007/s10584-009-9649-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/joc.945", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029731980"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2008jd010450", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029962244"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/1999jd900835", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030852090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/joc.3370140102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034406284"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/joc.2192", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035193799"
        ], 
        "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": "https://doi.org/10.1175/2007jcli2100.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040291252"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2008jd009916", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040676896"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/wea.432", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040766857"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/wea.432", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040766857"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/joc.1169", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040778657"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/joc.1169", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040778657"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/jcli3362.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043470632"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0442(1994)007<1144:gahttu>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043606616"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/bams-87-2-175", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047003744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/jcli3730.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051509285"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-05", 
    "datePublishedReg": "2010-05-01", 
    "description": "In this essay we discuss the development of and estimation of uncertainties in the global surface temperature record. We briefly discuss the similarities in and differences between the records from the institutions that produce such series. We then consider the numerous issues that must be addressed to enable accurate estimates to be derived. We consider these in their order of importance with respect to the record: biases in the sea surface temperature data, exposure of land-based thermometers before about 1900, urbanization effects in some series, and, finally, the homogeneity of individual land-based records.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10584-010-9836-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1028211", 
        "issn": [
          "0165-0009", 
          "1573-1480"
        ], 
        "name": "Climatic Change", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "100"
      }
    ], 
    "name": "Estimation of global temperature trends: what\u2019s important and what isn\u2019t", 
    "pagination": "59-69", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "3994c543b586a1c21548000098d62ba28b54a66743c2c8a4631da35ab14dfe82"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10584-010-9836-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1012085494"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10584-010-9836-3", 
      "https://app.dimensions.ai/details/publication/pub.1012085494"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:32", 
    "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_113658_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s10584-010-9836-3"
  }
]
 

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/s10584-010-9836-3'

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/s10584-010-9836-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10584-010-9836-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10584-010-9836-3'


 

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

168 TRIPLES      21 PREDICATES      58 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10584-010-9836-3 schema:about anzsrc-for:04
2 anzsrc-for:0406
3 schema:author N7be3a290edf74ecb88c3b7986af88001
4 schema:citation sg:pub.10.1007/s10584-009-9649-4
5 sg:pub.10.1038/347169a0
6 sg:pub.10.1038/432290a
7 sg:pub.10.1038/nature06982
8 https://doi.org/10.1002/(sici)1097-0088(199606)16:6<705::aid-joc30>3.0.co;2-s
9 https://doi.org/10.1002/joc.1169
10 https://doi.org/10.1002/joc.2192
11 https://doi.org/10.1002/joc.3370140102
12 https://doi.org/10.1002/joc.945
13 https://doi.org/10.1002/qj.49712152206
14 https://doi.org/10.1002/wea.432
15 https://doi.org/10.1029/1999jd900835
16 https://doi.org/10.1029/2001jd000354
17 https://doi.org/10.1029/2003jd003695
18 https://doi.org/10.1029/2005jd006548
19 https://doi.org/10.1029/2008jd009916
20 https://doi.org/10.1029/2008jd010450
21 https://doi.org/10.1073/pnas.0606291103
22 https://doi.org/10.1175/1520-0442(1994)007<1144:gahttu>2.0.co;2
23 https://doi.org/10.1175/1520-0442(1994)007<1794:hsatva>2.0.co;2
24 https://doi.org/10.1175/1520-0442(1997)010<2548:eseils>2.0.co;2
25 https://doi.org/10.1175/1520-0442(2002)015<1609:aiisas>2.0.co;2
26 https://doi.org/10.1175/1520-0442(2003)016<2941:aouvri>2.0.co;2
27 https://doi.org/10.1175/1520-0450(1986)025<0145:amtett>2.0.co;2
28 https://doi.org/10.1175/1520-0477(1991)072<1718:eortci>2.0.co;2
29 https://doi.org/10.1175/2007jcli2100.1
30 https://doi.org/10.1175/2008bams2613.1
31 https://doi.org/10.1175/bams-87-2-175
32 https://doi.org/10.1175/jcli3362.1
33 https://doi.org/10.1175/jcli3431.1
34 https://doi.org/10.1175/jcli3730.1
35 schema:datePublished 2010-05
36 schema:datePublishedReg 2010-05-01
37 schema:description In this essay we discuss the development of and estimation of uncertainties in the global surface temperature record. We briefly discuss the similarities in and differences between the records from the institutions that produce such series. We then consider the numerous issues that must be addressed to enable accurate estimates to be derived. We consider these in their order of importance with respect to the record: biases in the sea surface temperature data, exposure of land-based thermometers before about 1900, urbanization effects in some series, and, finally, the homogeneity of individual land-based records.
38 schema:genre research_article
39 schema:inLanguage en
40 schema:isAccessibleForFree false
41 schema:isPartOf N1489f0905d4d4ea78409664d54612004
42 N8b65b9e057de4df697b36df335a45b8a
43 sg:journal.1028211
44 schema:name Estimation of global temperature trends: what’s important and what isn’t
45 schema:pagination 59-69
46 schema:productId N291c9d6664774a46807294a57de9ca55
47 N95906b9d5cc84149902b5f1361ed2c70
48 Nc8dc99eaf3a04d9aaade5f06e53b4e45
49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012085494
50 https://doi.org/10.1007/s10584-010-9836-3
51 schema:sdDatePublished 2019-04-11T10:32
52 schema:sdLicense https://scigraph.springernature.com/explorer/license/
53 schema:sdPublisher Nf6f8619a477a43e2aaa612616a82e2b6
54 schema:url http://link.springer.com/10.1007/s10584-010-9836-3
55 sgo:license sg:explorer/license/
56 sgo:sdDataset articles
57 rdf:type schema:ScholarlyArticle
58 N1489f0905d4d4ea78409664d54612004 schema:issueNumber 1
59 rdf:type schema:PublicationIssue
60 N291c9d6664774a46807294a57de9ca55 schema:name readcube_id
61 schema:value 3994c543b586a1c21548000098d62ba28b54a66743c2c8a4631da35ab14dfe82
62 rdf:type schema:PropertyValue
63 N689a78eef841400c91ffe2156e79e17a rdf:first sg:person.016171504677.21
64 rdf:rest rdf:nil
65 N7be3a290edf74ecb88c3b7986af88001 rdf:first sg:person.0721646017.58
66 rdf:rest N689a78eef841400c91ffe2156e79e17a
67 N8b65b9e057de4df697b36df335a45b8a schema:volumeNumber 100
68 rdf:type schema:PublicationVolume
69 N95906b9d5cc84149902b5f1361ed2c70 schema:name doi
70 schema:value 10.1007/s10584-010-9836-3
71 rdf:type schema:PropertyValue
72 Nc8dc99eaf3a04d9aaade5f06e53b4e45 schema:name dimensions_id
73 schema:value pub.1012085494
74 rdf:type schema:PropertyValue
75 Nf6f8619a477a43e2aaa612616a82e2b6 schema:name Springer Nature - SN SciGraph project
76 rdf:type schema:Organization
77 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
78 schema:name Earth Sciences
79 rdf:type schema:DefinedTerm
80 anzsrc-for:0406 schema:inDefinedTermSet anzsrc-for:
81 schema:name Physical Geography and Environmental Geoscience
82 rdf:type schema:DefinedTerm
83 sg:journal.1028211 schema:issn 0165-0009
84 1573-1480
85 schema:name Climatic Change
86 rdf:type schema:Periodical
87 sg:person.016171504677.21 schema:affiliation https://www.grid.ac/institutes/grid.57828.30
88 schema:familyName Wigley
89 schema:givenName T. M. L.
90 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016171504677.21
91 rdf:type schema:Person
92 sg:person.0721646017.58 schema:affiliation https://www.grid.ac/institutes/grid.8273.e
93 schema:familyName Jones
94 schema:givenName Phil D.
95 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721646017.58
96 rdf:type schema:Person
97 sg:pub.10.1007/s10584-009-9649-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027339557
98 https://doi.org/10.1007/s10584-009-9649-4
99 rdf:type schema:CreativeWork
100 sg:pub.10.1038/347169a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036545518
101 https://doi.org/10.1038/347169a0
102 rdf:type schema:CreativeWork
103 sg:pub.10.1038/432290a schema:sameAs https://app.dimensions.ai/details/publication/pub.1011765664
104 https://doi.org/10.1038/432290a
105 rdf:type schema:CreativeWork
106 sg:pub.10.1038/nature06982 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022794945
107 https://doi.org/10.1038/nature06982
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1002/(sici)1097-0088(199606)16:6<705::aid-joc30>3.0.co;2-s schema:sameAs https://app.dimensions.ai/details/publication/pub.1015150069
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1002/joc.1169 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040778657
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1002/joc.2192 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035193799
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1002/joc.3370140102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034406284
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1002/joc.945 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029731980
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1002/qj.49712152206 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018072394
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1002/wea.432 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040766857
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1029/1999jd900835 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030852090
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1029/2001jd000354 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008630161
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1029/2003jd003695 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003857398
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1029/2005jd006548 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000063736
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1029/2008jd009916 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040676896
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1029/2008jd010450 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029962244
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1073/pnas.0606291103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021968013
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1175/1520-0442(1994)007<1144:gahttu>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043606616
138 rdf:type schema:CreativeWork
139 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
140 rdf:type schema:CreativeWork
141 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
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1175/1520-0442(2002)015<1609:aiisas>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025644996
144 rdf:type schema:CreativeWork
145 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
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1175/1520-0450(1986)025<0145:amtett>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022035033
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1175/1520-0477(1991)072<1718:eortci>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025138501
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1175/2007jcli2100.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040291252
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1175/2008bams2613.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017401254
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1175/bams-87-2-175 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047003744
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1175/jcli3362.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043470632
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1175/jcli3431.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005441257
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1175/jcli3730.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051509285
162 rdf:type schema:CreativeWork
163 https://www.grid.ac/institutes/grid.57828.30 schema:alternateName National Center for Atmospheric Research
164 schema:name NCAR, 80307, Boulder, CO, USA
165 rdf:type schema:Organization
166 https://www.grid.ac/institutes/grid.8273.e schema:alternateName University of East Anglia
167 schema:name Climatic Research Unit, School of Environmental Sciences, University of East Anglia, NR4 7TJ, Norwich, UK
168 rdf:type schema:Organization
 




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


...