Ontology type: schema:Chapter
2005
AUTHORS ABSTRACTThe launch of the Gravity Recovery and Climate Experiment (GRACE) satellite mission in March 2002 has made timely the study of geophysical processes that redistribute the Earth’s mass. This study uses the Hadley Centre coupled ocean- atmosphere model HadCM3 to examine the ocean’s role in mass redistribution on inter-annual to decadal timescales. The leading empirical mode of inter-annual bottom pressure variability is a striking, basin-wide, oscillation between the Atlantic and Pacific Oceans. Our analysis suggests that this mode is primarily a wind driven phenomenon. We find some evidence for such a mode in a re-analysis of the global ocean, although the indirect nature of this evidence means no certain conclusions can yet be drawn. Thus, we consider the gravitational effects of this mode and the potential of current geodetic missions to detect it. A surprising result is that oceanic mass redistribution can lead to decadal trends in the zonal harmonic J 2, with a slope of approximately one-third that observed in geodetic measurements of J 2, all of which is normally attributed to post glacial rebound. More... »
PAGES298-303
Gravity, Geoid and Space Missions
ISBN3-540-26930-4
http://scigraph.springernature.com/pub.10.1007/3-540-26932-0_52
DOIhttp://dx.doi.org/10.1007/3-540-26932-0_52
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1035458475
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/2008/0405",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Oceanography",
"type": "DefinedTerm"
},
{
"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"
}
],
"author": [
{
"affiliation": {
"alternateName": "University of Reading",
"id": "https://www.grid.ac/institutes/grid.9435.b",
"name": [
"Environmental Systems Science Centre, University of Reading, 3 Earley Gate, Reading, RG6 6AL, UK"
],
"type": "Organization"
},
"familyName": "Bingham",
"givenName": "R.J.",
"id": "sg:person.015563033764.09",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015563033764.09"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Reading",
"id": "https://www.grid.ac/institutes/grid.9435.b",
"name": [
"Environmental Systems Science Centre, University of Reading, 3 Earley Gate, Reading, RG6 6AL, UK"
],
"type": "Organization"
},
"familyName": "Haines",
"givenName": "K.",
"id": "sg:person.01052227550.65",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01052227550.65"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1175/1520-0485(1998)028<0659:dwfotn>2.0.co;2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003570436"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1175/1520-0485(1997)027<1533:asmotd>2.0.co;2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004273079"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2003gc000589",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007567638"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/96rg03037",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012791396"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s003820050010",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015242699",
"https://doi.org/10.1007/s003820050010"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.1072188",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016020476"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2001jb000404",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016945122"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2002jc001727",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018420852"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/98jb02844",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030380003"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s003820000094",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037483061",
"https://doi.org/10.1007/s003820000094"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/94jc00847",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041733238"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-246x.1993.tb03923.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043554649"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-246x.1993.tb03923.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043554649"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1175/1520-0485(2000)030<0294:asodaa>2.0.co;2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045201530"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2003gl018048",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045218404"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/1998jc900028",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051053470"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1175/1520-0485(2002)032<0353:lsvitm>2.0.co;2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052914807"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.1077777",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062447055"
],
"type": "CreativeWork"
}
],
"datePublished": "2005",
"datePublishedReg": "2005-01-01",
"description": "The launch of the Gravity Recovery and Climate Experiment (GRACE) satellite mission in March 2002 has made timely the study of geophysical processes that redistribute the Earth\u2019s mass. This study uses the Hadley Centre coupled ocean- atmosphere model HadCM3 to examine the ocean\u2019s role in mass redistribution on inter-annual to decadal timescales. The leading empirical mode of inter-annual bottom pressure variability is a striking, basin-wide, oscillation between the Atlantic and Pacific Oceans. Our analysis suggests that this mode is primarily a wind driven phenomenon. We find some evidence for such a mode in a re-analysis of the global ocean, although the indirect nature of this evidence means no certain conclusions can yet be drawn. Thus, we consider the gravitational effects of this mode and the potential of current geodetic missions to detect it. A surprising result is that oceanic mass redistribution can lead to decadal trends in the zonal harmonic J 2, with a slope of approximately one-third that observed in geodetic measurements of J 2, all of which is normally attributed to post glacial rebound.",
"editor": [
{
"familyName": "Jekeli",
"givenName": "Christopher",
"type": "Person"
},
{
"familyName": "Bastos",
"givenName": "Luisa",
"type": "Person"
},
{
"familyName": "Fernandes",
"givenName": "Joana",
"type": "Person"
}
],
"genre": "chapter",
"id": "sg:pub.10.1007/3-540-26932-0_52",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": {
"isbn": [
"3-540-26930-4"
],
"name": "Gravity, Geoid and Space Missions",
"type": "Book"
},
"name": "Decadal Ocean Bottom Pressure Variability and its Associated Gravitational Effects in a Coupled Ocean- Atmosphere Model",
"pagination": "298-303",
"productId": [
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/3-540-26932-0_52"
]
},
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"a8e8afc919089e07e5d10aec6f5f68370ebd54f08b2504ae1ac0d4963bdfb403"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1035458475"
]
}
],
"publisher": {
"location": "Berlin/Heidelberg",
"name": "Springer-Verlag",
"type": "Organisation"
},
"sameAs": [
"https://doi.org/10.1007/3-540-26932-0_52",
"https://app.dimensions.ai/details/publication/pub.1035458475"
],
"sdDataset": "chapters",
"sdDatePublished": "2019-04-15T18:12",
"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_8681_00000265.jsonl",
"type": "Chapter",
"url": "http://link.springer.com/10.1007/3-540-26932-0_52"
}
]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.10.1007/3-540-26932-0_52'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/3-540-26932-0_52'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/3-540-26932-0_52'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/3-540-26932-0_52'
This table displays all metadata directly associated to this object as RDF triples.
134 TRIPLES
23 PREDICATES
44 URIs
20 LITERALS
8 BLANK NODES