The Hydrological Cycle as Simulated by an Atmospheric General Circulation Model View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1983

AUTHORS

J. F. B. Mitchell

ABSTRACT

The Meteorological Office five layer atmospheric general circulation model has been integrated through three complete annual cycles. The basic model has five layers in the vertical, with a quasi-uniform 330 km horizontal grid, giving 4626 points over the globe. Values of temperature, northward and eastward wind components and specific humidity were predicted at each grid point at each level; surface pressure was predicted at each point.The model reproduces the main features of the hydrological cycle, including the major regional and seasonal variations in precipitation and evaporation. Over land, the hydrological cycle was more intense than observed, and the model’s deserts were less extensive than their real counterparts. The seasonal variation of snow cover was close to that observed, except over central North America where the model was too warm. Although the external forcing in the model was repeated exactly over each annual cycle, there were changes in the monthly mean circulation patterns from year to year, particularly along the model’s depression belts in winter. Precipitation varied most where it was heaviest. The fractional change in precipitation was largest over the drier regions in the subtropics. More... »

PAGES

429-446

Book

TITLE

Variations in the Global Water Budget

ISBN

978-94-009-6956-8
978-94-009-6954-4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-94-009-6954-4_34

DOI

http://dx.doi.org/10.1007/978-94-009-6954-4_34

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1007120575


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": "Meteorological Office, Bracknell, Berkshire, UK", 
          "id": "http://www.grid.ac/institutes/grid.17100.37", 
          "name": [
            "Meteorological Office, Bracknell, 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": "1983", 
    "datePublishedReg": "1983-01-01", 
    "description": "The Meteorological Office five layer atmospheric general circulation model has been integrated through three complete annual cycles. The basic model has five layers in the vertical, with a quasi-uniform 330 km horizontal grid, giving 4626 points over the globe. Values of temperature, northward and eastward wind components and specific humidity were predicted at each grid point at each level; surface pressure was predicted at each point.The model reproduces the main features of the hydrological cycle, including the major regional and seasonal variations in precipitation and evaporation. Over land, the hydrological cycle was more intense than observed, and the model\u2019s deserts were less extensive than their real counterparts. The seasonal variation of snow cover was close to that observed, except over central North America where the model was too warm. Although the external forcing in the model was repeated exactly over each annual cycle, there were changes in the monthly mean circulation patterns from year to year, particularly along the model\u2019s depression belts in winter. Precipitation varied most where it was heaviest. The fractional change in precipitation was largest over the drier regions in the subtropics.", 
    "editor": [
      {
        "familyName": "Street-Perrott", 
        "givenName": "Alayne", 
        "type": "Person"
      }, 
      {
        "familyName": "Beran", 
        "givenName": "Max", 
        "type": "Person"
      }, 
      {
        "familyName": "Ratcliffe", 
        "givenName": "Robert", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-94-009-6954-4_34", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-94-009-6956-8", 
        "978-94-009-6954-4"
      ], 
      "name": "Variations in the Global Water Budget", 
      "type": "Book"
    }, 
    "keywords": [
      "atmospheric general circulation model", 
      "general circulation model", 
      "hydrological cycle", 
      "depression belt", 
      "circulation model", 
      "annual cycle", 
      "monthly mean circulation patterns", 
      "seasonal variation", 
      "mean circulation patterns", 
      "central North America", 
      "complete annual cycle", 
      "eastward wind component", 
      "circulation patterns", 
      "specific humidity", 
      "external forcing", 
      "snow cover", 
      "horizontal grid", 
      "wind components", 
      "dry regions", 
      "precipitation", 
      "North America", 
      "surface pressure", 
      "grid points", 
      "Desert", 
      "northward", 
      "belt", 
      "forcing", 
      "subtropics", 
      "cycle", 
      "fractional change", 
      "variation", 
      "winter", 
      "values of temperature", 
      "cover", 
      "evaporation", 
      "land", 
      "main features", 
      "America", 
      "globe", 
      "humidity", 
      "changes", 
      "model", 
      "region", 
      "layer", 
      "temperature", 
      "years", 
      "patterns", 
      "features", 
      "grid", 
      "real counterpart", 
      "basic model", 
      "components", 
      "pressure", 
      "values", 
      "point", 
      "levels", 
      "counterparts", 
      "Meteorological Office five layer atmospheric general circulation model", 
      "Office five layer atmospheric general circulation model", 
      "five layer atmospheric general circulation model", 
      "layer atmospheric general circulation model", 
      "model\u2019s deserts", 
      "model\u2019s depression belts"
    ], 
    "name": "The Hydrological Cycle as Simulated by an Atmospheric General Circulation Model", 
    "pagination": "429-446", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1007120575"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-94-009-6954-4_34"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-94-009-6954-4_34", 
      "https://app.dimensions.ai/details/publication/pub.1007120575"
    ], 
    "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/10.1007/978-94-009-6954-4_34"
  }
]
 

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.10.1007/978-94-009-6954-4_34'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-94-009-6954-4_34'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-94-009-6954-4_34'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-94-009-6954-4_34'


 

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

133 TRIPLES      23 PREDICATES      89 URIs      82 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-94-009-6954-4_34 schema:about anzsrc-for:04
2 anzsrc-for:0401
3 schema:author N3c021f416ee541de80bd8712a498f7ae
4 schema:datePublished 1983
5 schema:datePublishedReg 1983-01-01
6 schema:description The Meteorological Office five layer atmospheric general circulation model has been integrated through three complete annual cycles. The basic model has five layers in the vertical, with a quasi-uniform 330 km horizontal grid, giving 4626 points over the globe. Values of temperature, northward and eastward wind components and specific humidity were predicted at each grid point at each level; surface pressure was predicted at each point.The model reproduces the main features of the hydrological cycle, including the major regional and seasonal variations in precipitation and evaporation. Over land, the hydrological cycle was more intense than observed, and the model’s deserts were less extensive than their real counterparts. The seasonal variation of snow cover was close to that observed, except over central North America where the model was too warm. Although the external forcing in the model was repeated exactly over each annual cycle, there were changes in the monthly mean circulation patterns from year to year, particularly along the model’s depression belts in winter. Precipitation varied most where it was heaviest. The fractional change in precipitation was largest over the drier regions in the subtropics.
7 schema:editor Naf6121227bac4771909076fd528c6fa7
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf N369e051143b44d88aee816b86f618962
12 schema:keywords America
13 Desert
14 Meteorological Office five layer atmospheric general circulation model
15 North America
16 Office five layer atmospheric general circulation model
17 annual cycle
18 atmospheric general circulation model
19 basic model
20 belt
21 central North America
22 changes
23 circulation model
24 circulation patterns
25 complete annual cycle
26 components
27 counterparts
28 cover
29 cycle
30 depression belt
31 dry regions
32 eastward wind component
33 evaporation
34 external forcing
35 features
36 five layer atmospheric general circulation model
37 forcing
38 fractional change
39 general circulation model
40 globe
41 grid
42 grid points
43 horizontal grid
44 humidity
45 hydrological cycle
46 land
47 layer
48 layer atmospheric general circulation model
49 levels
50 main features
51 mean circulation patterns
52 model
53 model’s depression belts
54 model’s deserts
55 monthly mean circulation patterns
56 northward
57 patterns
58 point
59 precipitation
60 pressure
61 real counterpart
62 region
63 seasonal variation
64 snow cover
65 specific humidity
66 subtropics
67 surface pressure
68 temperature
69 values
70 values of temperature
71 variation
72 wind components
73 winter
74 years
75 schema:name The Hydrological Cycle as Simulated by an Atmospheric General Circulation Model
76 schema:pagination 429-446
77 schema:productId N3365b2a18d0b4a3188792b92368e87f4
78 Nb4fdee47cbf84fef957e08a36aacf769
79 schema:publisher N52b0ede21a7045c192e688c6fea7c8ca
80 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007120575
81 https://doi.org/10.1007/978-94-009-6954-4_34
82 schema:sdDatePublished 2021-11-01T18:57
83 schema:sdLicense https://scigraph.springernature.com/explorer/license/
84 schema:sdPublisher Nbd428e1f9f8b410786bf16a5153226ac
85 schema:url https://doi.org/10.1007/978-94-009-6954-4_34
86 sgo:license sg:explorer/license/
87 sgo:sdDataset chapters
88 rdf:type schema:Chapter
89 N3365b2a18d0b4a3188792b92368e87f4 schema:name doi
90 schema:value 10.1007/978-94-009-6954-4_34
91 rdf:type schema:PropertyValue
92 N369e051143b44d88aee816b86f618962 schema:isbn 978-94-009-6954-4
93 978-94-009-6956-8
94 schema:name Variations in the Global Water Budget
95 rdf:type schema:Book
96 N3c021f416ee541de80bd8712a498f7ae rdf:first sg:person.012141527247.99
97 rdf:rest rdf:nil
98 N52b0ede21a7045c192e688c6fea7c8ca schema:name Springer Nature
99 rdf:type schema:Organisation
100 N9c015cee258f42cea2bcb5770b9eca6b schema:familyName Ratcliffe
101 schema:givenName Robert
102 rdf:type schema:Person
103 N9f56d20473ec4601b717dc8b1ece5e45 schema:familyName Street-Perrott
104 schema:givenName Alayne
105 rdf:type schema:Person
106 Naf6121227bac4771909076fd528c6fa7 rdf:first N9f56d20473ec4601b717dc8b1ece5e45
107 rdf:rest Nf72686e7fb454e36b1a9e54d86918386
108 Nb4fdee47cbf84fef957e08a36aacf769 schema:name dimensions_id
109 schema:value pub.1007120575
110 rdf:type schema:PropertyValue
111 Nbd428e1f9f8b410786bf16a5153226ac schema:name Springer Nature - SN SciGraph project
112 rdf:type schema:Organization
113 Nca59eec8bd004ba28e61e11e28eb3c10 schema:familyName Beran
114 schema:givenName Max
115 rdf:type schema:Person
116 Nd5cb169825fc4799844d02dbe314688c rdf:first N9c015cee258f42cea2bcb5770b9eca6b
117 rdf:rest rdf:nil
118 Nf72686e7fb454e36b1a9e54d86918386 rdf:first Nca59eec8bd004ba28e61e11e28eb3c10
119 rdf:rest Nd5cb169825fc4799844d02dbe314688c
120 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
121 schema:name Earth Sciences
122 rdf:type schema:DefinedTerm
123 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
124 schema:name Atmospheric Sciences
125 rdf:type schema:DefinedTerm
126 sg:person.012141527247.99 schema:affiliation grid-institutes:grid.17100.37
127 schema:familyName Mitchell
128 schema:givenName J. F. B.
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012141527247.99
130 rdf:type schema:Person
131 grid-institutes:grid.17100.37 schema:alternateName Meteorological Office, Bracknell, Berkshire, UK
132 schema:name Meteorological Office, Bracknell, Berkshire, UK
133 rdf:type schema:Organization
 




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


...