Extreme events in a changing climate: Variability is more important than averages View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1992-07

AUTHORS

Richard W. Katz, Barbara G. Brown

ABSTRACT

Extreme events act as a catalyst for concern about whether the climate is changing. Statistical theory for extremes is used to demonstrate that the frequency of such events is relatively more dependent on any changes in the variability (more generally, the scale parameter) than in the mean (more generally, the location parameter) of climate. Moreover, this sensitivity is relatively greater the more extreme the event. These results provide additional support for the conclusions that experiments using climate models need to be designed to detect changes in climate variability, and that policy analysis should not rely on scenarios of future climate involving only changes in means. More... »

PAGES

289-302

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00139728

DOI

http://dx.doi.org/10.1007/bf00139728

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1046834192


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/2008/04", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Earth Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0401", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Atmospheric Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Environmental and Societal Impacts Group, National Center for Atmospheric Research, 80307, Boulder, CO, USA", 
          "id": "http://www.grid.ac/institutes/grid.57828.30", 
          "name": [
            "Environmental and Societal Impacts Group, National Center for Atmospheric Research, 80307, Boulder, CO, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Katz", 
        "givenName": "Richard W.", 
        "id": "sg:person.07365657053.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07365657053.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Environmental and Societal Impacts Group, National Center for Atmospheric Research, 80307, Boulder, CO, USA", 
          "id": "http://www.grid.ac/institutes/grid.57828.30", 
          "name": [
            "Environmental and Societal Impacts Group, National Center for Atmospheric Research, 80307, Boulder, CO, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Brown", 
        "givenName": "Barbara G.", 
        "id": "sg:person.011106445554.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011106445554.11"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf00140173", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038751416", 
          "https://doi.org/10.1007/bf00140173"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/316106a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010036390", 
          "https://doi.org/10.1038/316106a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00139443", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028197369", 
          "https://doi.org/10.1007/bf00139443"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/345219a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053012610", 
          "https://doi.org/10.1038/345219a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00240467", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014475003", 
          "https://doi.org/10.1007/bf00240467"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00867576", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009200212", 
          "https://doi.org/10.1007/bf00867576"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00138936", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037263014", 
          "https://doi.org/10.1007/bf00138936"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4612-5449-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018032998", 
          "https://doi.org/10.1007/978-1-4612-5449-2"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1992-07", 
    "datePublishedReg": "1992-07-01", 
    "description": "Extreme events act as a catalyst for concern about whether the climate is changing. Statistical theory for extremes is used to demonstrate that the frequency of such events is relatively more dependent on any changes in the variability (more generally, the scale parameter) than in the mean (more generally, the location parameter) of climate. Moreover, this sensitivity is relatively greater the more extreme the event. These results provide additional support for the conclusions that experiments using climate models need to be designed to detect changes in climate variability, and that policy analysis should not rely on scenarios of future climate involving only changes in means.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/bf00139728", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1028211", 
        "issn": [
          "0165-0009", 
          "1573-1480"
        ], 
        "name": "Climatic Change", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "21"
      }
    ], 
    "keywords": [
      "extreme events", 
      "climate models", 
      "climate variability", 
      "future climate", 
      "climate", 
      "such events", 
      "variability", 
      "events", 
      "extremes", 
      "changes", 
      "scenarios", 
      "average", 
      "additional support", 
      "model", 
      "means", 
      "analysis", 
      "frequency", 
      "experiments", 
      "results", 
      "sensitivity", 
      "concern", 
      "statistical theory", 
      "policy analysis", 
      "conclusion", 
      "support", 
      "theory", 
      "catalyst"
    ], 
    "name": "Extreme events in a changing climate: Variability is more important than averages", 
    "pagination": "289-302", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1046834192"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf00139728"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf00139728", 
      "https://app.dimensions.ai/details/publication/pub.1046834192"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-12-01T06:20", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_221.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/bf00139728"
  }
]
 

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/bf00139728'

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/bf00139728'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00139728'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00139728'


 

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

123 TRIPLES      21 PREDICATES      60 URIs      44 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf00139728 schema:about anzsrc-for:04
2 anzsrc-for:0401
3 schema:author Nd7e0f973e8db44efbecbe5a88c60695b
4 schema:citation sg:pub.10.1007/978-1-4612-5449-2
5 sg:pub.10.1007/bf00138936
6 sg:pub.10.1007/bf00139443
7 sg:pub.10.1007/bf00140173
8 sg:pub.10.1007/bf00240467
9 sg:pub.10.1007/bf00867576
10 sg:pub.10.1038/316106a0
11 sg:pub.10.1038/345219a0
12 schema:datePublished 1992-07
13 schema:datePublishedReg 1992-07-01
14 schema:description Extreme events act as a catalyst for concern about whether the climate is changing. Statistical theory for extremes is used to demonstrate that the frequency of such events is relatively more dependent on any changes in the variability (more generally, the scale parameter) than in the mean (more generally, the location parameter) of climate. Moreover, this sensitivity is relatively greater the more extreme the event. These results provide additional support for the conclusions that experiments using climate models need to be designed to detect changes in climate variability, and that policy analysis should not rely on scenarios of future climate involving only changes in means.
15 schema:genre article
16 schema:isAccessibleForFree false
17 schema:isPartOf N8d90ae17ea854db7bcd1d28c250c3de5
18 Nf6f7cd2095254440a606b089ab50a9fd
19 sg:journal.1028211
20 schema:keywords additional support
21 analysis
22 average
23 catalyst
24 changes
25 climate
26 climate models
27 climate variability
28 concern
29 conclusion
30 events
31 experiments
32 extreme events
33 extremes
34 frequency
35 future climate
36 means
37 model
38 policy analysis
39 results
40 scenarios
41 sensitivity
42 statistical theory
43 such events
44 support
45 theory
46 variability
47 schema:name Extreme events in a changing climate: Variability is more important than averages
48 schema:pagination 289-302
49 schema:productId N3d277d3ea69149d2986be3ff463a0712
50 Nd05273eda6c649d08108a7e9e4ea3cbd
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046834192
52 https://doi.org/10.1007/bf00139728
53 schema:sdDatePublished 2022-12-01T06:20
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher N1e148c8af3144fb292687643074b0905
56 schema:url https://doi.org/10.1007/bf00139728
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N1e148c8af3144fb292687643074b0905 schema:name Springer Nature - SN SciGraph project
61 rdf:type schema:Organization
62 N3d277d3ea69149d2986be3ff463a0712 schema:name dimensions_id
63 schema:value pub.1046834192
64 rdf:type schema:PropertyValue
65 N74b88ca5c2924013bcb3dbe6214b5ddd rdf:first sg:person.011106445554.11
66 rdf:rest rdf:nil
67 N8d90ae17ea854db7bcd1d28c250c3de5 schema:issueNumber 3
68 rdf:type schema:PublicationIssue
69 Nd05273eda6c649d08108a7e9e4ea3cbd schema:name doi
70 schema:value 10.1007/bf00139728
71 rdf:type schema:PropertyValue
72 Nd7e0f973e8db44efbecbe5a88c60695b rdf:first sg:person.07365657053.04
73 rdf:rest N74b88ca5c2924013bcb3dbe6214b5ddd
74 Nf6f7cd2095254440a606b089ab50a9fd schema:volumeNumber 21
75 rdf:type schema:PublicationVolume
76 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
77 schema:name Earth Sciences
78 rdf:type schema:DefinedTerm
79 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
80 schema:name Atmospheric Sciences
81 rdf:type schema:DefinedTerm
82 sg:journal.1028211 schema:issn 0165-0009
83 1573-1480
84 schema:name Climatic Change
85 schema:publisher Springer Nature
86 rdf:type schema:Periodical
87 sg:person.011106445554.11 schema:affiliation grid-institutes:grid.57828.30
88 schema:familyName Brown
89 schema:givenName Barbara G.
90 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011106445554.11
91 rdf:type schema:Person
92 sg:person.07365657053.04 schema:affiliation grid-institutes:grid.57828.30
93 schema:familyName Katz
94 schema:givenName Richard W.
95 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07365657053.04
96 rdf:type schema:Person
97 sg:pub.10.1007/978-1-4612-5449-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018032998
98 https://doi.org/10.1007/978-1-4612-5449-2
99 rdf:type schema:CreativeWork
100 sg:pub.10.1007/bf00138936 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037263014
101 https://doi.org/10.1007/bf00138936
102 rdf:type schema:CreativeWork
103 sg:pub.10.1007/bf00139443 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028197369
104 https://doi.org/10.1007/bf00139443
105 rdf:type schema:CreativeWork
106 sg:pub.10.1007/bf00140173 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038751416
107 https://doi.org/10.1007/bf00140173
108 rdf:type schema:CreativeWork
109 sg:pub.10.1007/bf00240467 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014475003
110 https://doi.org/10.1007/bf00240467
111 rdf:type schema:CreativeWork
112 sg:pub.10.1007/bf00867576 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009200212
113 https://doi.org/10.1007/bf00867576
114 rdf:type schema:CreativeWork
115 sg:pub.10.1038/316106a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010036390
116 https://doi.org/10.1038/316106a0
117 rdf:type schema:CreativeWork
118 sg:pub.10.1038/345219a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053012610
119 https://doi.org/10.1038/345219a0
120 rdf:type schema:CreativeWork
121 grid-institutes:grid.57828.30 schema:alternateName Environmental and Societal Impacts Group, National Center for Atmospheric Research, 80307, Boulder, CO, USA
122 schema:name Environmental and Societal Impacts Group, National Center for Atmospheric Research, 80307, Boulder, CO, USA
123 rdf:type schema:Organization
 




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


...