Image: An Integrated Model to Assess the Greenhouse Effect View Full Text


Ontology type: schema:Book      Open Access: True


Book Info

DATE

1990

GENRE

Monograph

AUTHORS

Jan Rotmans

PUBLISHER

Springer Nature

ABSTRACT

This book is the result of a research project entitled "Reference function for Global Air Pollution/C0 " initiated by RIVM. It deals with the description 2 of a computer simulation model of the greenhouse effect. This model, IMAGE, tries to capture the fundamentals of the complex problem of climate change in a simplified way. The model is a multidisciplinary product and is based on knowledge from disciplines as economics, atmospheric chemistry, marine and terrestrial biogeochemistry, ecology, climatology, and glaciology. This book might be of interest for anyone working in the broad field of climate change. Furthermore, it can be useful for model builders, simulation experts, mathematicians etc. A PC version of the model will become avail­ able free of charge. Requests can be sent to the author. Although being the only author of this book, I could never have written it without the help of many other people. First of all I would like to thank Koos Vrieze, originally a colleague at RIVM, later my professor. Without his inspiring attitude I would have never finished this thesis. I am also very grateful to RIVM for giving me the opportunity to write this thesis. lowe many thanks to Hans de Boois and Rob Swart for their support and assis­ tance during the research. Furthermore, I would like to thank my trainees who have substantially contributed to the contents of this book. More... »

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-94-009-0691-4

DOI

http://dx.doi.org/10.1007/978-94-009-0691-4

ISBN

978-94-010-6796-6 | 978-94-009-0691-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1012750287


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/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "familyName": "Rotmans", 
        "givenName": "Jan", 
        "type": "Person"
      }
    ], 
    "datePublished": "1990", 
    "datePublishedReg": "1990-01-01", 
    "description": "This book is the result of a research project entitled \"Reference function for Global Air Pollution/C0 \" initiated by RIVM. It deals with the description 2 of a computer simulation model of the greenhouse effect. This model, IMAGE, tries to capture the fundamentals of the complex problem of climate change in a simplified way. The model is a multidisciplinary product and is based on knowledge from disciplines as economics, atmospheric chemistry, marine and terrestrial biogeochemistry, ecology, climatology, and glaciology. This book might be of interest for anyone working in the broad field of climate change. Furthermore, it can be useful for model builders, simulation experts, mathematicians etc. A PC version of the model will become avail\u00ad able free of charge. Requests can be sent to the author. Although being the only author of this book, I could never have written it without the help of many other people. First of all I would like to thank Koos Vrieze, originally a colleague at RIVM, later my professor. Without his inspiring attitude I would have never finished this thesis. I am also very grateful to RIVM for giving me the opportunity to write this thesis. lowe many thanks to Hans de Boois and Rob Swart for their support and assis\u00ad tance during the research. Furthermore, I would like to thank my trainees who have substantially contributed to the contents of this book.", 
    "genre": "monograph", 
    "id": "sg:pub.10.1007/978-94-009-0691-4", 
    "isAccessibleForFree": true, 
    "isbn": [
      "978-94-010-6796-6", 
      "978-94-009-0691-4"
    ], 
    "keywords": [
      "climate change", 
      "greenhouse effect", 
      "terrestrial biogeochemistry", 
      "atmospheric chemistry", 
      "computer simulation model", 
      "RIVM", 
      "biogeochemistry", 
      "integrated model", 
      "ecology", 
      "simulation model", 
      "model builders", 
      "changes", 
      "research project", 
      "content", 
      "simplified way", 
      "chemistry", 
      "effect", 
      "climatology", 
      "project", 
      "model", 
      "opportunities", 
      "builders", 
      "complex problems", 
      "knowledge", 
      "economics", 
      "research", 
      "field", 
      "results", 
      "disciplines", 
      "book", 
      "broad field", 
      "way", 
      "interest", 
      "experts", 
      "glaciology", 
      "products", 
      "support", 
      "people", 
      "C0", 
      "function", 
      "images", 
      "problem", 
      "help", 
      "thanks", 
      "reference function", 
      "Swart", 
      "authors", 
      "fundamentals", 
      "thesis", 
      "version", 
      "tance", 
      "Han", 
      "colleagues", 
      "charge", 
      "requests", 
      "mathematicians", 
      "professors", 
      "multidisciplinary products", 
      "simulation experts", 
      "PC version", 
      "trainees", 
      "only author", 
      "Vrieze", 
      "attitude I"
    ], 
    "name": "Image: An Integrated Model to Assess the Greenhouse Effect", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1012750287"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-94-009-0691-4"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-94-009-0691-4", 
      "https://app.dimensions.ai/details/publication/pub.1012750287"
    ], 
    "sdDataset": "books", 
    "sdDatePublished": "2022-08-04T17:13", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/book/book_6.jsonl", 
    "type": "Book", 
    "url": "https://doi.org/10.1007/978-94-009-0691-4"
  }
]
 

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.10.1007/978-94-009-0691-4'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-94-009-0691-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-94-009-0691-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-94-009-0691-4'


 

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

108 TRIPLES      20 PREDICATES      88 URIs      81 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-94-009-0691-4 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author Na4b76e926fe64fe5b837ff1aa5c431bc
4 schema:datePublished 1990
5 schema:datePublishedReg 1990-01-01
6 schema:description This book is the result of a research project entitled "Reference function for Global Air Pollution/C0 " initiated by RIVM. It deals with the description 2 of a computer simulation model of the greenhouse effect. This model, IMAGE, tries to capture the fundamentals of the complex problem of climate change in a simplified way. The model is a multidisciplinary product and is based on knowledge from disciplines as economics, atmospheric chemistry, marine and terrestrial biogeochemistry, ecology, climatology, and glaciology. This book might be of interest for anyone working in the broad field of climate change. Furthermore, it can be useful for model builders, simulation experts, mathematicians etc. A PC version of the model will become avail­ able free of charge. Requests can be sent to the author. Although being the only author of this book, I could never have written it without the help of many other people. First of all I would like to thank Koos Vrieze, originally a colleague at RIVM, later my professor. Without his inspiring attitude I would have never finished this thesis. I am also very grateful to RIVM for giving me the opportunity to write this thesis. lowe many thanks to Hans de Boois and Rob Swart for their support and assis­ tance during the research. Furthermore, I would like to thank my trainees who have substantially contributed to the contents of this book.
7 schema:genre monograph
8 schema:isAccessibleForFree true
9 schema:isbn 978-94-009-0691-4
10 978-94-010-6796-6
11 schema:keywords C0
12 Han
13 PC version
14 RIVM
15 Swart
16 Vrieze
17 atmospheric chemistry
18 attitude I
19 authors
20 biogeochemistry
21 book
22 broad field
23 builders
24 changes
25 charge
26 chemistry
27 climate change
28 climatology
29 colleagues
30 complex problems
31 computer simulation model
32 content
33 disciplines
34 ecology
35 economics
36 effect
37 experts
38 field
39 function
40 fundamentals
41 glaciology
42 greenhouse effect
43 help
44 images
45 integrated model
46 interest
47 knowledge
48 mathematicians
49 model
50 model builders
51 multidisciplinary products
52 only author
53 opportunities
54 people
55 problem
56 products
57 professors
58 project
59 reference function
60 requests
61 research
62 research project
63 results
64 simplified way
65 simulation experts
66 simulation model
67 support
68 tance
69 terrestrial biogeochemistry
70 thanks
71 thesis
72 trainees
73 version
74 way
75 schema:name Image: An Integrated Model to Assess the Greenhouse Effect
76 schema:productId Na2c95f148d8a463d8d43723c1958ee31
77 Nd6455a7a65e344fcaf4df404b4b60279
78 schema:publisher Ne792a9abc821411d970a61f5d8dcfa5c
79 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012750287
80 https://doi.org/10.1007/978-94-009-0691-4
81 schema:sdDatePublished 2022-08-04T17:13
82 schema:sdLicense https://scigraph.springernature.com/explorer/license/
83 schema:sdPublisher Ndb7560e1427a4394b07f808e3e09861b
84 schema:url https://doi.org/10.1007/978-94-009-0691-4
85 sgo:license sg:explorer/license/
86 sgo:sdDataset books
87 rdf:type schema:Book
88 Na2c95f148d8a463d8d43723c1958ee31 schema:name doi
89 schema:value 10.1007/978-94-009-0691-4
90 rdf:type schema:PropertyValue
91 Na49cd2af14c74e3ab4d89997d50ad9f6 schema:familyName Rotmans
92 schema:givenName Jan
93 rdf:type schema:Person
94 Na4b76e926fe64fe5b837ff1aa5c431bc rdf:first Na49cd2af14c74e3ab4d89997d50ad9f6
95 rdf:rest rdf:nil
96 Nd6455a7a65e344fcaf4df404b4b60279 schema:name dimensions_id
97 schema:value pub.1012750287
98 rdf:type schema:PropertyValue
99 Ndb7560e1427a4394b07f808e3e09861b schema:name Springer Nature - SN SciGraph project
100 rdf:type schema:Organization
101 Ne792a9abc821411d970a61f5d8dcfa5c schema:name Springer Nature
102 rdf:type schema:Organisation
103 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
104 schema:name Information and Computing Sciences
105 rdf:type schema:DefinedTerm
106 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
107 schema:name Artificial Intelligence and Image Processing
108 rdf:type schema:DefinedTerm
 




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


...