Cloud Feedbacks in the UKMO Unified model View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1996

AUTHORS

C. A. Senior , J. F. B. Mitchell

ABSTRACT

The cloud forcing and feedback in the UKMO unified forecast and climate model is compared to that produced by 2 versions of the previous UKMO climate model, which included similar parameterizations. All three models produce a reasonable simulation of cloud forcing when compared to ERBE data, but produce a large range of climate sensitivities, mostly due to differences in cloud feedback. Some proposed explanations of the possible mechanisms involved in the responses are described. Sensitivity studies with the new model to small changes in the cloud parameterization scheme which have small effects on present day climate also show a wide range of sensitivities to enhanced C02. More... »

PAGES

191-202

Book

TITLE

Climate Sensitivity to Radiative Perturbations

ISBN

978-3-642-64673-7
978-3-642-61053-0

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-61053-0_14

DOI

http://dx.doi.org/10.1007/978-3-642-61053-0_14

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1013188633


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": "The Hadley Centre for Climate Prediction and Research, Meteorological Office, London Road Bracknell, RG122SY, Berkshire, UK", 
          "id": "http://www.grid.ac/institutes/grid.17100.37", 
          "name": [
            "The Hadley Centre for Climate Prediction and Research, Meteorological Office, London Road Bracknell, RG122SY, Berkshire, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Senior", 
        "givenName": "C. A.", 
        "id": "sg:person.012173370255.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012173370255.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Hadley Centre for Climate Prediction and Research, Meteorological Office, London Road Bracknell, RG122SY, Berkshire, UK", 
          "id": "http://www.grid.ac/institutes/grid.17100.37", 
          "name": [
            "The Hadley Centre for Climate Prediction and Research, Meteorological Office, London Road Bracknell, RG122SY, Berkshire, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mitchell", 
        "givenName": "J. F. B.", 
        "id": "sg:person.012141527247.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012141527247.99"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "1996", 
    "datePublishedReg": "1996-01-01", 
    "description": "The cloud forcing and feedback in the UKMO unified forecast and climate model is compared to that produced by 2 versions of the previous UKMO climate model, which included similar parameterizations. All three models produce a reasonable simulation of cloud forcing when compared to ERBE data, but produce a large range of climate sensitivities, mostly due to differences in cloud feedback. Some proposed explanations of the possible mechanisms involved in the responses are described. Sensitivity studies with the new model to small changes in the cloud parameterization scheme which have small effects on present day climate also show a wide range of sensitivities to enhanced C02.", 
    "editor": [
      {
        "familyName": "Treut", 
        "givenName": "Herv\u00e9 Le", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-61053-0_14", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-64673-7", 
        "978-3-642-61053-0"
      ], 
      "name": "Climate Sensitivity to Radiative Perturbations", 
      "type": "Book"
    }, 
    "keywords": [
      "cloud feedback", 
      "climate models", 
      "UKMO Unified Model", 
      "present day climate", 
      "cloud parameterization schemes", 
      "ERBE data", 
      "climate sensitivity", 
      "parameterization scheme", 
      "reasonable simulation", 
      "sensitivity study", 
      "similar parameterization", 
      "large range", 
      "cloud", 
      "UKMO", 
      "unified model", 
      "climate", 
      "parameterization", 
      "forecasts", 
      "small changes", 
      "C02", 
      "feedback", 
      "model", 
      "new model", 
      "wide range", 
      "range", 
      "changes", 
      "data", 
      "small effect", 
      "simulations", 
      "possible mechanism", 
      "explanation", 
      "sensitivity", 
      "differences", 
      "response", 
      "study", 
      "scheme", 
      "mechanism", 
      "version", 
      "effect", 
      "previous UKMO climate model", 
      "UKMO climate model", 
      "day climate"
    ], 
    "name": "Cloud Feedbacks in the UKMO Unified model", 
    "pagination": "191-202", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1013188633"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-61053-0_14"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-61053-0_14", 
      "https://app.dimensions.ai/details/publication/pub.1013188633"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2021-11-01T18:57", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/chapter/chapter_366.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-642-61053-0_14"
  }
]
 

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.10.1007/978-3-642-61053-0_14'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-61053-0_14'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-61053-0_14'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-61053-0_14'


 

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

109 TRIPLES      23 PREDICATES      68 URIs      61 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-61053-0_14 schema:about anzsrc-for:04
2 anzsrc-for:0401
3 schema:author N144b3be3c9bc47ad9df12cb83b6d8219
4 schema:datePublished 1996
5 schema:datePublishedReg 1996-01-01
6 schema:description The cloud forcing and feedback in the UKMO unified forecast and climate model is compared to that produced by 2 versions of the previous UKMO climate model, which included similar parameterizations. All three models produce a reasonable simulation of cloud forcing when compared to ERBE data, but produce a large range of climate sensitivities, mostly due to differences in cloud feedback. Some proposed explanations of the possible mechanisms involved in the responses are described. Sensitivity studies with the new model to small changes in the cloud parameterization scheme which have small effects on present day climate also show a wide range of sensitivities to enhanced C02.
7 schema:editor N4e4fb280e93a4d5a943208332d37144f
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf Nfa8612630fe84d7192ae333c839be64b
12 schema:keywords C02
13 ERBE data
14 UKMO
15 UKMO Unified Model
16 UKMO climate model
17 changes
18 climate
19 climate models
20 climate sensitivity
21 cloud
22 cloud feedback
23 cloud parameterization schemes
24 data
25 day climate
26 differences
27 effect
28 explanation
29 feedback
30 forecasts
31 large range
32 mechanism
33 model
34 new model
35 parameterization
36 parameterization scheme
37 possible mechanism
38 present day climate
39 previous UKMO climate model
40 range
41 reasonable simulation
42 response
43 scheme
44 sensitivity
45 sensitivity study
46 similar parameterization
47 simulations
48 small changes
49 small effect
50 study
51 unified model
52 version
53 wide range
54 schema:name Cloud Feedbacks in the UKMO Unified model
55 schema:pagination 191-202
56 schema:productId N1b81121e85fd43bb89e628fee6da372c
57 Nd29758739f1a470b9ee9fcbcc67b4c51
58 schema:publisher N06dc8d6ee0d944ab83d8d3eca9593112
59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013188633
60 https://doi.org/10.1007/978-3-642-61053-0_14
61 schema:sdDatePublished 2021-11-01T18:57
62 schema:sdLicense https://scigraph.springernature.com/explorer/license/
63 schema:sdPublisher Nbebd702efff74c0c94af2ee74d2b81f0
64 schema:url https://doi.org/10.1007/978-3-642-61053-0_14
65 sgo:license sg:explorer/license/
66 sgo:sdDataset chapters
67 rdf:type schema:Chapter
68 N06dc8d6ee0d944ab83d8d3eca9593112 schema:name Springer Nature
69 rdf:type schema:Organisation
70 N144b3be3c9bc47ad9df12cb83b6d8219 rdf:first sg:person.012173370255.92
71 rdf:rest Nb3240193ebb04a4d80e3e1c7ae98457d
72 N1b81121e85fd43bb89e628fee6da372c schema:name doi
73 schema:value 10.1007/978-3-642-61053-0_14
74 rdf:type schema:PropertyValue
75 N4e4fb280e93a4d5a943208332d37144f rdf:first N8c1ef8fb82dc4e0e98ec19d0bb672c18
76 rdf:rest rdf:nil
77 N8c1ef8fb82dc4e0e98ec19d0bb672c18 schema:familyName Treut
78 schema:givenName Hervé Le
79 rdf:type schema:Person
80 Nb3240193ebb04a4d80e3e1c7ae98457d rdf:first sg:person.012141527247.99
81 rdf:rest rdf:nil
82 Nbebd702efff74c0c94af2ee74d2b81f0 schema:name Springer Nature - SN SciGraph project
83 rdf:type schema:Organization
84 Nd29758739f1a470b9ee9fcbcc67b4c51 schema:name dimensions_id
85 schema:value pub.1013188633
86 rdf:type schema:PropertyValue
87 Nfa8612630fe84d7192ae333c839be64b schema:isbn 978-3-642-61053-0
88 978-3-642-64673-7
89 schema:name Climate Sensitivity to Radiative Perturbations
90 rdf:type schema:Book
91 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
92 schema:name Earth Sciences
93 rdf:type schema:DefinedTerm
94 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
95 schema:name Atmospheric Sciences
96 rdf:type schema:DefinedTerm
97 sg:person.012141527247.99 schema:affiliation grid-institutes:grid.17100.37
98 schema:familyName Mitchell
99 schema:givenName J. F. B.
100 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012141527247.99
101 rdf:type schema:Person
102 sg:person.012173370255.92 schema:affiliation grid-institutes:grid.17100.37
103 schema:familyName Senior
104 schema:givenName C. A.
105 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012173370255.92
106 rdf:type schema:Person
107 grid-institutes:grid.17100.37 schema:alternateName The Hadley Centre for Climate Prediction and Research, Meteorological Office, London Road Bracknell, RG122SY, Berkshire, UK
108 schema:name The Hadley Centre for Climate Prediction and Research, Meteorological Office, London Road Bracknell, RG122SY, Berkshire, UK
109 rdf:type schema:Organization
 




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


...