Mesoscale Modelling of the Atmospheric Input into Coastal Waters View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1994

AUTHORS

K. Heinke Schlünzen , Klaus Bigalke , Ulrike Niemeier

ABSTRACT

Coastal waters and the oceans are not only polluted from rivers and by direct input but also from the atmosphere by a considerable amount. In the paper examples are given for the input of SO2, NO2, and Pb into the German Bight in a high temporal and spatial resolution. The input figures are calculated from a mesoscale model. The modelled meteorological situations are representative for typical weather conditions in May when the atmospheric input might become an important factor to control the growing of phytoplankton. More... »

PAGES

613-613

Book

TITLE

Air Pollution Modeling and Its Application X

ISBN

978-1-4613-5734-6
978-1-4615-1817-4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-4615-1817-4_73

DOI

http://dx.doi.org/10.1007/978-1-4615-1817-4_73

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1023433210


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/2008/0405", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oceanography", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Meteorologisches Institut, Universit\u00e4t Hamburg, Bundesstra\u00dfe 55, 20146, Hamburg, Germany", 
          "id": "http://www.grid.ac/institutes/grid.9026.d", 
          "name": [
            "Meteorologisches Institut, Universit\u00e4t Hamburg, Bundesstra\u00dfe 55, 20146, Hamburg, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schl\u00fcnzen", 
        "givenName": "K. Heinke", 
        "id": "sg:person.012560545423.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012560545423.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Meteorologisches Institut, Universit\u00e4t Hamburg, Bundesstra\u00dfe 55, 20146, Hamburg, Germany", 
          "id": "http://www.grid.ac/institutes/grid.9026.d", 
          "name": [
            "Meteorologisches Institut, Universit\u00e4t Hamburg, Bundesstra\u00dfe 55, 20146, Hamburg, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bigalke", 
        "givenName": "Klaus", 
        "id": "sg:person.012123551761.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012123551761.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Meteorologisches Institut, Universit\u00e4t Hamburg, Bundesstra\u00dfe 55, 20146, Hamburg, Germany", 
          "id": "http://www.grid.ac/institutes/grid.9026.d", 
          "name": [
            "Meteorologisches Institut, Universit\u00e4t Hamburg, Bundesstra\u00dfe 55, 20146, Hamburg, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Niemeier", 
        "givenName": "Ulrike", 
        "id": "sg:person.07567545121.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07567545121.52"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "1994", 
    "datePublishedReg": "1994-01-01", 
    "description": "Coastal waters and the oceans are not only polluted from rivers and by direct input but also from the atmosphere by a considerable amount. In the paper examples are given for the input of SO2, NO2, and Pb into the German Bight in a high temporal and spatial resolution. The input figures are calculated from a mesoscale model. The modelled meteorological situations are representative for typical weather conditions in May when the atmospheric input might become an important factor to control the growing of phytoplankton.", 
    "editor": [
      {
        "familyName": "Gryning", 
        "givenName": "Sven-Erik", 
        "type": "Person"
      }, 
      {
        "familyName": "Mill\u00e1n", 
        "givenName": "Mill\u00e1n M.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-1-4615-1817-4_73", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-1-4613-5734-6", 
        "978-1-4615-1817-4"
      ], 
      "name": "Air Pollution Modeling and Its Application X", 
      "type": "Book"
    }, 
    "keywords": [
      "atmospheric inputs", 
      "coastal waters", 
      "input of SO2", 
      "mesoscale model", 
      "German Bight", 
      "typical weather conditions", 
      "meteorological situations", 
      "mesoscale modelling", 
      "direct input", 
      "weather conditions", 
      "spatial resolution", 
      "water", 
      "input", 
      "Ocean", 
      "Bight", 
      "River", 
      "phytoplankton", 
      "atmosphere", 
      "paper examples", 
      "considerable amount", 
      "modelling", 
      "SO2", 
      "important factor", 
      "resolution", 
      "amount", 
      "conditions", 
      "model", 
      "example", 
      "NO2", 
      "factors", 
      "growing", 
      "situation", 
      "figures", 
      "input figures", 
      "growing of phytoplankton"
    ], 
    "name": "Mesoscale Modelling of the Atmospheric Input into Coastal Waters", 
    "pagination": "613-613", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1023433210"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-1-4615-1817-4_73"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-1-4615-1817-4_73", 
      "https://app.dimensions.ai/details/publication/pub.1023433210"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-01-01T19:24", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/chapter/chapter_410.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-1-4615-1817-4_73"
  }
]
 

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.10.1007/978-1-4615-1817-4_73'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-1-4615-1817-4_73'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-1-4615-1817-4_73'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-1-4615-1817-4_73'


 

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

114 TRIPLES      23 PREDICATES      61 URIs      54 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-1-4615-1817-4_73 schema:about anzsrc-for:04
2 anzsrc-for:0405
3 schema:author N56b69498835b45ca8638ca9e463b69ad
4 schema:datePublished 1994
5 schema:datePublishedReg 1994-01-01
6 schema:description Coastal waters and the oceans are not only polluted from rivers and by direct input but also from the atmosphere by a considerable amount. In the paper examples are given for the input of SO2, NO2, and Pb into the German Bight in a high temporal and spatial resolution. The input figures are calculated from a mesoscale model. The modelled meteorological situations are representative for typical weather conditions in May when the atmospheric input might become an important factor to control the growing of phytoplankton.
7 schema:editor N935f087c88f14b0cb4f71fdd5aa3faeb
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf Nd79d43ef703b44308db94c898acf2e5a
12 schema:keywords Bight
13 German Bight
14 NO2
15 Ocean
16 River
17 SO2
18 amount
19 atmosphere
20 atmospheric inputs
21 coastal waters
22 conditions
23 considerable amount
24 direct input
25 example
26 factors
27 figures
28 growing
29 growing of phytoplankton
30 important factor
31 input
32 input figures
33 input of SO2
34 mesoscale model
35 mesoscale modelling
36 meteorological situations
37 model
38 modelling
39 paper examples
40 phytoplankton
41 resolution
42 situation
43 spatial resolution
44 typical weather conditions
45 water
46 weather conditions
47 schema:name Mesoscale Modelling of the Atmospheric Input into Coastal Waters
48 schema:pagination 613-613
49 schema:productId N5645cbdfe5644c0ab4e9996e4dcf79a2
50 N65ce33cfb6e548f88bc1f69f5dae72a1
51 schema:publisher N0476c806cc3a425ba85ce1923100dd3b
52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023433210
53 https://doi.org/10.1007/978-1-4615-1817-4_73
54 schema:sdDatePublished 2022-01-01T19:24
55 schema:sdLicense https://scigraph.springernature.com/explorer/license/
56 schema:sdPublisher N9791580fadac47328bd7dcf487301511
57 schema:url https://doi.org/10.1007/978-1-4615-1817-4_73
58 sgo:license sg:explorer/license/
59 sgo:sdDataset chapters
60 rdf:type schema:Chapter
61 N0476c806cc3a425ba85ce1923100dd3b schema:name Springer Nature
62 rdf:type schema:Organisation
63 N09799f52a61d4b23a57ce31f1bb69e8d rdf:first N0ad30ce21e384a1d95016fa3f20ac2b3
64 rdf:rest rdf:nil
65 N0ad30ce21e384a1d95016fa3f20ac2b3 schema:familyName Millán
66 schema:givenName Millán M.
67 rdf:type schema:Person
68 N40702c6bce954d558f9cd1bf7c8ff742 schema:familyName Gryning
69 schema:givenName Sven-Erik
70 rdf:type schema:Person
71 N5645cbdfe5644c0ab4e9996e4dcf79a2 schema:name doi
72 schema:value 10.1007/978-1-4615-1817-4_73
73 rdf:type schema:PropertyValue
74 N56b69498835b45ca8638ca9e463b69ad rdf:first sg:person.012560545423.41
75 rdf:rest Ncb343143ecaf48858979817e477c0410
76 N65ce33cfb6e548f88bc1f69f5dae72a1 schema:name dimensions_id
77 schema:value pub.1023433210
78 rdf:type schema:PropertyValue
79 N935f087c88f14b0cb4f71fdd5aa3faeb rdf:first N40702c6bce954d558f9cd1bf7c8ff742
80 rdf:rest N09799f52a61d4b23a57ce31f1bb69e8d
81 N9791580fadac47328bd7dcf487301511 schema:name Springer Nature - SN SciGraph project
82 rdf:type schema:Organization
83 Nb343fca9d02b4aeab4d1183233ca7c01 rdf:first sg:person.07567545121.52
84 rdf:rest rdf:nil
85 Ncb343143ecaf48858979817e477c0410 rdf:first sg:person.012123551761.16
86 rdf:rest Nb343fca9d02b4aeab4d1183233ca7c01
87 Nd79d43ef703b44308db94c898acf2e5a schema:isbn 978-1-4613-5734-6
88 978-1-4615-1817-4
89 schema:name Air Pollution Modeling and Its Application X
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:0405 schema:inDefinedTermSet anzsrc-for:
95 schema:name Oceanography
96 rdf:type schema:DefinedTerm
97 sg:person.012123551761.16 schema:affiliation grid-institutes:grid.9026.d
98 schema:familyName Bigalke
99 schema:givenName Klaus
100 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012123551761.16
101 rdf:type schema:Person
102 sg:person.012560545423.41 schema:affiliation grid-institutes:grid.9026.d
103 schema:familyName Schlünzen
104 schema:givenName K. Heinke
105 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012560545423.41
106 rdf:type schema:Person
107 sg:person.07567545121.52 schema:affiliation grid-institutes:grid.9026.d
108 schema:familyName Niemeier
109 schema:givenName Ulrike
110 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07567545121.52
111 rdf:type schema:Person
112 grid-institutes:grid.9026.d schema:alternateName Meteorologisches Institut, Universität Hamburg, Bundesstraße 55, 20146, Hamburg, Germany
113 schema:name Meteorologisches Institut, Universität Hamburg, Bundesstraße 55, 20146, Hamburg, Germany
114 rdf:type schema:Organization
 




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


...