Ontology type: schema:Chapter Open Access: True
2007
AUTHORSS. Ravela , J. Marshall , C. Hill , A. Wong , S. Stransky
ABSTRACTWe present a physical, laboratory-scale analog of large-scale atmos- pheric circulation and develop an observatory for it. By combining observations of a hydro-dynamically unstable flow with a 3D numerical fluid model, we obtain a real-time estimate of the state of the evolving fluid which is better than either model or observations alone. To the best of our knowledge this is the first such observatory for laboratory simulations of planetary flows that functions in real time. New algorithms in modeling, parameter and state estimation, and observation targeting can be rapidly validated, thus making weather and climate application accessible to computational scientists. Properties of the fluid that cannot be directly observed can be effectively studied by a constrained model, thus facilitating scientific inquiry. More... »
PAGES1155-1162
Computational Science – ICCS 2007
ISBN
978-3-540-72583-1
978-3-540-72584-8
http://scigraph.springernature.com/pub.10.1007/978-3-540-72584-8_151
DOIhttp://dx.doi.org/10.1007/978-3-540-72584-8_151
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1027375583
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/2008/0801",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Artificial Intelligence and Image Processing",
"type": "DefinedTerm"
},
{
"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"
}
],
"author": [
{
"affiliation": {
"name": [
"Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology,"
],
"type": "Organization"
},
"familyName": "Ravela",
"givenName": "S.",
"id": "sg:person.013070241677.59",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013070241677.59"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology,"
],
"type": "Organization"
},
"familyName": "Marshall",
"givenName": "J.",
"id": "sg:person.01336304764.44",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336304764.44"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology,"
],
"type": "Organization"
},
"familyName": "Hill",
"givenName": "C.",
"id": "sg:person.07744064675.39",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07744064675.39"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology,"
],
"type": "Organization"
},
"familyName": "Wong",
"givenName": "A.",
"id": "sg:person.013263376453.50",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013263376453.50"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology,"
],
"type": "Organization"
},
"familyName": "Stransky",
"givenName": "S.",
"id": "sg:person.015453720053.84",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015453720053.84"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1029/96jc02776",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016428034"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/00018737500101371",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021554489"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/00018737500101371",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021554489"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/96jc02775",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021909006"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1175/1520-0469(1963)020<0130:dnf>2.0.co;2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037677363"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/b978-0-12-460817-7.50009-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047904090"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1137/0721062",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062853049"
],
"type": "CreativeWork"
}
],
"datePublished": "2007",
"datePublishedReg": "2007-01-01",
"description": "We present a physical, laboratory-scale analog of large-scale atmos- pheric circulation and develop an observatory for it. By combining observations of a hydro-dynamically unstable flow with a 3D numerical fluid model, we obtain a real-time estimate of the state of the evolving fluid which is better than either model or observations alone. To the best of our knowledge this is the first such observatory for laboratory simulations of planetary flows that functions in real time. New algorithms in modeling, parameter and state estimation, and observation targeting can be rapidly validated, thus making weather and climate application accessible to computational scientists. Properties of the fluid that cannot be directly observed can be effectively studied by a constrained model, thus facilitating scientific inquiry.",
"editor": [
{
"familyName": "Shi",
"givenName": "Yong",
"type": "Person"
},
{
"familyName": "van Albada",
"givenName": "Geert Dick",
"type": "Person"
},
{
"familyName": "Dongarra",
"givenName": "Jack",
"type": "Person"
},
{
"familyName": "Sloot",
"givenName": "Peter M. A.",
"type": "Person"
}
],
"genre": "chapter",
"id": "sg:pub.10.1007/978-3-540-72584-8_151",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isFundedItemOf": [
{
"id": "sg:grant.3062839",
"type": "MonetaryGrant"
}
],
"isPartOf": {
"isbn": [
"978-3-540-72583-1",
"978-3-540-72584-8"
],
"name": "Computational Science \u2013 ICCS 2007",
"type": "Book"
},
"name": "A Realtime Observatory for Laboratory Simulation of Planetary Circulation",
"pagination": "1155-1162",
"productId": [
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/978-3-540-72584-8_151"
]
},
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"826855ff0dcc9a968fec3fd4a442fcf6828b0cc7b00db73eccfb6b112587d954"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1027375583"
]
}
],
"publisher": {
"location": "Berlin, Heidelberg",
"name": "Springer Berlin Heidelberg",
"type": "Organisation"
},
"sameAs": [
"https://doi.org/10.1007/978-3-540-72584-8_151",
"https://app.dimensions.ai/details/publication/pub.1027375583"
],
"sdDataset": "chapters",
"sdDatePublished": "2019-04-15T10:34",
"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/v90/0000000001_0000000264/records_8659_00000260.jsonl",
"type": "Chapter",
"url": "http://link.springer.com/10.1007/978-3-540-72584-8_151"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
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.10.1007/978-3-540-72584-8_151'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-72584-8_151'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-72584-8_151'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-72584-8_151'
This table displays all metadata directly associated to this object as RDF triples.
135 TRIPLES
23 PREDICATES
33 URIs
20 LITERALS
8 BLANK NODES