Data Assimilation for Ctm Based on Optimum Interpolation and Kalman Filter View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2004

AUTHORS

Johannes Flemming , Maarten van Loon , Rainer Stern

ABSTRACT

The aim of this paper is to compare the performance of two data assimilation schemes for the Eulerian chemistry transport model REM/CALGRID. Optimum Interpolation (OI) and Kaiman Filtering (KF) have been applied to assimilate hourly O3 and NO2 observations in a model run for July 2001. The comparison comprises the structure of the obtained model error covariances and the analysed concentration fields. In addition, an example of an assessment of model parameters such as turbulent exchange coefficients by means of the Kaiman filter is given. More... »

PAGES

373-382

References to SciGraph publications

Book

TITLE

Air Pollution Modeling and Its Application XVI

ISBN

978-1-4613-4697-5
978-1-4419-8867-6

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-4419-8867-6_34

DOI

http://dx.doi.org/10.1007/978-1-4419-8867-6_34

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1023221653


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/2008/0102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Applied Mathematics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Freie Universit\u00e4t Berlin", 
          "id": "https://www.grid.ac/institutes/grid.14095.39", 
          "name": [
            "Institut f\u00fcr Meteorologie, Freie Universit\u00e4t Berlin, 12165, Berlin, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Flemming", 
        "givenName": "Johannes", 
        "id": "sg:person.016057466540.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016057466540.57"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "TNO-MEP Apeldorn, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van Loon", 
        "givenName": "Maarten", 
        "id": "sg:person.011625075057.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011625075057.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Freie Universit\u00e4t Berlin", 
          "id": "https://www.grid.ac/institutes/grid.14095.39", 
          "name": [
            "Institut f\u00fcr Meteorologie, Freie Universit\u00e4t Berlin, 12165, Berlin, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Stern", 
        "givenName": "Rainer", 
        "id": "sg:person.016646461025.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016646461025.52"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/978-1-4615-3052-7_56", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007748937", 
          "https://doi.org/10.1007/978-1-4615-3052-7_56"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4615-3052-7_56", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007748937", 
          "https://doi.org/10.1007/978-1-4615-3052-7_56"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/0-306-47813-7_25", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033700854", 
          "https://doi.org/10.1007/0-306-47813-7_25"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3402/tellusa.v38i2.11707", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071279339"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2004", 
    "datePublishedReg": "2004-01-01", 
    "description": "The aim of this paper is to compare the performance of two data assimilation schemes for the Eulerian chemistry transport model REM/CALGRID. Optimum Interpolation (OI) and Kaiman Filtering (KF) have been applied to assimilate hourly O3 and NO2 observations in a model run for July 2001. The comparison comprises the structure of the obtained model error covariances and the analysed concentration fields. In addition, an example of an assessment of model parameters such as turbulent exchange coefficients by means of the Kaiman filter is given.", 
    "editor": [
      {
        "familyName": "Borrego", 
        "givenName": "Carlos", 
        "type": "Person"
      }, 
      {
        "familyName": "Incecik", 
        "givenName": "Selahattin", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-1-4419-8867-6_34", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-1-4613-4697-5", 
        "978-1-4419-8867-6"
      ], 
      "name": "Air Pollution Modeling and Its Application XVI", 
      "type": "Book"
    }, 
    "name": "Data Assimilation for Ctm Based on Optimum Interpolation and Kalman Filter", 
    "pagination": "373-382", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1023221653"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-1-4419-8867-6_34"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "6ea22ba117a0227f949b79b15863819b22b1cbc830dde94a0ba1487f800699f0"
        ]
      }
    ], 
    "publisher": {
      "location": "Boston, MA", 
      "name": "Springer US", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-1-4419-8867-6_34", 
      "https://app.dimensions.ai/details/publication/pub.1023221653"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T09:58", 
    "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/v90/0000000376_0000000376/records_56179_00000001.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-1-4419-8867-6_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.10.1007/978-1-4419-8867-6_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.10.1007/978-1-4419-8867-6_34'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-1-4419-8867-6_34'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-1-4419-8867-6_34'


 

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

97 TRIPLES      23 PREDICATES      30 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-1-4419-8867-6_34 schema:about anzsrc-for:01
2 anzsrc-for:0102
3 schema:author Necd22737f60143908d33bb3e53223ed9
4 schema:citation sg:pub.10.1007/0-306-47813-7_25
5 sg:pub.10.1007/978-1-4615-3052-7_56
6 https://doi.org/10.3402/tellusa.v38i2.11707
7 schema:datePublished 2004
8 schema:datePublishedReg 2004-01-01
9 schema:description The aim of this paper is to compare the performance of two data assimilation schemes for the Eulerian chemistry transport model REM/CALGRID. Optimum Interpolation (OI) and Kaiman Filtering (KF) have been applied to assimilate hourly O3 and NO2 observations in a model run for July 2001. The comparison comprises the structure of the obtained model error covariances and the analysed concentration fields. In addition, an example of an assessment of model parameters such as turbulent exchange coefficients by means of the Kaiman filter is given.
10 schema:editor N16b7ae67482a4bc8b54c837aeb63f850
11 schema:genre chapter
12 schema:inLanguage en
13 schema:isAccessibleForFree false
14 schema:isPartOf Nf3a7552a833c4d20b27b2fd0e7f233ed
15 schema:name Data Assimilation for Ctm Based on Optimum Interpolation and Kalman Filter
16 schema:pagination 373-382
17 schema:productId N2475f364d18c4a5bbddf3225606eb004
18 N60ed2a37a2a245d5a19673b222425cc1
19 Ncd2fb91724ff4310b4e9c97002dc6aa8
20 schema:publisher N2d99962d61784537912268675381e435
21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023221653
22 https://doi.org/10.1007/978-1-4419-8867-6_34
23 schema:sdDatePublished 2019-04-16T09:58
24 schema:sdLicense https://scigraph.springernature.com/explorer/license/
25 schema:sdPublisher Ne39767ae2f924580991ec2aca3110ffd
26 schema:url https://link.springer.com/10.1007%2F978-1-4419-8867-6_34
27 sgo:license sg:explorer/license/
28 sgo:sdDataset chapters
29 rdf:type schema:Chapter
30 N16b7ae67482a4bc8b54c837aeb63f850 rdf:first Ndd71aced282c41b386a341f30d654140
31 rdf:rest N49c12190b0774377bb336d3e2ad92117
32 N2475f364d18c4a5bbddf3225606eb004 schema:name readcube_id
33 schema:value 6ea22ba117a0227f949b79b15863819b22b1cbc830dde94a0ba1487f800699f0
34 rdf:type schema:PropertyValue
35 N2d99962d61784537912268675381e435 schema:location Boston, MA
36 schema:name Springer US
37 rdf:type schema:Organisation
38 N49c12190b0774377bb336d3e2ad92117 rdf:first Ne60a6ba853194a9a98b8b83c1d07c453
39 rdf:rest rdf:nil
40 N5ffe65972e9545ae907bd2b6a0085f87 schema:name TNO-MEP Apeldorn, The Netherlands
41 rdf:type schema:Organization
42 N60ed2a37a2a245d5a19673b222425cc1 schema:name doi
43 schema:value 10.1007/978-1-4419-8867-6_34
44 rdf:type schema:PropertyValue
45 N835e657531964a0580f8b413230f7ebc rdf:first sg:person.016646461025.52
46 rdf:rest rdf:nil
47 Nc197d2455fae4e6e8abd606144e1cad8 rdf:first sg:person.011625075057.86
48 rdf:rest N835e657531964a0580f8b413230f7ebc
49 Ncd2fb91724ff4310b4e9c97002dc6aa8 schema:name dimensions_id
50 schema:value pub.1023221653
51 rdf:type schema:PropertyValue
52 Ndd71aced282c41b386a341f30d654140 schema:familyName Borrego
53 schema:givenName Carlos
54 rdf:type schema:Person
55 Ne39767ae2f924580991ec2aca3110ffd schema:name Springer Nature - SN SciGraph project
56 rdf:type schema:Organization
57 Ne60a6ba853194a9a98b8b83c1d07c453 schema:familyName Incecik
58 schema:givenName Selahattin
59 rdf:type schema:Person
60 Necd22737f60143908d33bb3e53223ed9 rdf:first sg:person.016057466540.57
61 rdf:rest Nc197d2455fae4e6e8abd606144e1cad8
62 Nf3a7552a833c4d20b27b2fd0e7f233ed schema:isbn 978-1-4419-8867-6
63 978-1-4613-4697-5
64 schema:name Air Pollution Modeling and Its Application XVI
65 rdf:type schema:Book
66 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
67 schema:name Mathematical Sciences
68 rdf:type schema:DefinedTerm
69 anzsrc-for:0102 schema:inDefinedTermSet anzsrc-for:
70 schema:name Applied Mathematics
71 rdf:type schema:DefinedTerm
72 sg:person.011625075057.86 schema:affiliation N5ffe65972e9545ae907bd2b6a0085f87
73 schema:familyName van Loon
74 schema:givenName Maarten
75 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011625075057.86
76 rdf:type schema:Person
77 sg:person.016057466540.57 schema:affiliation https://www.grid.ac/institutes/grid.14095.39
78 schema:familyName Flemming
79 schema:givenName Johannes
80 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016057466540.57
81 rdf:type schema:Person
82 sg:person.016646461025.52 schema:affiliation https://www.grid.ac/institutes/grid.14095.39
83 schema:familyName Stern
84 schema:givenName Rainer
85 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016646461025.52
86 rdf:type schema:Person
87 sg:pub.10.1007/0-306-47813-7_25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033700854
88 https://doi.org/10.1007/0-306-47813-7_25
89 rdf:type schema:CreativeWork
90 sg:pub.10.1007/978-1-4615-3052-7_56 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007748937
91 https://doi.org/10.1007/978-1-4615-3052-7_56
92 rdf:type schema:CreativeWork
93 https://doi.org/10.3402/tellusa.v38i2.11707 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071279339
94 rdf:type schema:CreativeWork
95 https://www.grid.ac/institutes/grid.14095.39 schema:alternateName Freie Universität Berlin
96 schema:name Institut für Meteorologie, Freie Universität Berlin, 12165, Berlin, Germany
97 rdf:type schema:Organization
 




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


...