Ontology type: schema:ScholarlyArticle
1992-11
AUTHORS ABSTRACTTHE recent rise in global-mean surface air temperature is widely thought to be the result of increasing atmospheric concentrations of greenhouse gases1–3, but there are discrepancies between the predicted response of the atmosphere to this radiative forcing and the observed temperature changes1–5. Solar irradiance fluctuations have been proposed as a possible explanation for these discrepancies, and various solar properties (for example, radius6, smoothed sunspot number7 or cycle length8) have been suggested as proxies for solar irradiance variations in the absence of direct data. Here we model the effects of a combination of greenhouse and solar-cycle-length forcing and compare the results with observed temperatures. We find that this forcing combination can explain many features of the temperature record, although the results must be interpreted cautiously; even with optimized solar forcing, most of the recent warming trend is explained by greenhouse forcing. More... »
PAGES328
http://scigraph.springernature.com/pub.10.1038/360328a0
DOIhttp://dx.doi.org/10.1038/360328a0
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1013917948
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/2008/0907",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Environmental Engineering",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Engineering",
"type": "DefinedTerm"
}
],
"author": [
{
"familyName": "Kelly",
"givenName": "P. M.",
"id": "sg:person.011721062357.97",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011721062357.97"
],
"type": "Person"
},
{
"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": "sg:pub.10.1038/344324a0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000092146",
"https://doi.org/10.1038/344324a0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/348520a0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000645670",
"https://doi.org/10.1038/348520a0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00140585",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006015749",
"https://doi.org/10.1007/bf00140585"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/330127a0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016835893",
"https://doi.org/10.1038/330127a0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/346713a0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017800546",
"https://doi.org/10.1038/346713a0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/357293a0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027555370",
"https://doi.org/10.1038/357293a0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/347460a0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031415358",
"https://doi.org/10.1038/347460a0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/329142a0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044289881",
"https://doi.org/10.1038/329142a0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/329142a0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044289881",
"https://doi.org/10.1038/329142a0"
],
"type": "CreativeWork"
}
],
"datePublished": "1992-11",
"datePublishedReg": "1992-11-01",
"description": "THE recent rise in global-mean surface air temperature is widely thought to be the result of increasing atmospheric concentrations of greenhouse gases1\u20133, but there are discrepancies between the predicted response of the atmosphere to this radiative forcing and the observed temperature changes1\u20135. Solar irradiance fluctuations have been proposed as a possible explanation for these discrepancies, and various solar properties (for example, radius6, smoothed sunspot number7 or cycle length8) have been suggested as proxies for solar irradiance variations in the absence of direct data. Here we model the effects of a combination of greenhouse and solar-cycle-length forcing and compare the results with observed temperatures. We find that this forcing combination can explain many features of the temperature record, although the results must be interpreted cautiously; even with optimized solar forcing, most of the recent warming trend is explained by greenhouse forcing.",
"genre": "non_research_article",
"id": "sg:pub.10.1038/360328a0",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1018957",
"issn": [
"0090-0028",
"1476-4687"
],
"name": "Nature",
"type": "Periodical"
},
{
"issueNumber": "6402",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "360"
}
],
"name": "Solar cycle length, greenhouse forcing and global climate",
"pagination": "328",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"424cf61d13006505eed93e096bd61ef68e4898a6547d39cb6ffa402b35111a1f"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/360328a0"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1013917948"
]
}
],
"sameAs": [
"https://doi.org/10.1038/360328a0",
"https://app.dimensions.ai/details/publication/pub.1013917948"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T12:57",
"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/v90/0000000001_0000000264/records_8659_00000422.jsonl",
"type": "ScholarlyArticle",
"url": "https://www.nature.com/articles/360328a0"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
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.10.1038/360328a0'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/360328a0'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/360328a0'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/360328a0'
This table displays all metadata directly associated to this object as RDF triples.
95 TRIPLES
21 PREDICATES
35 URIs
19 LITERALS
7 BLANK NODES