Item talk:Q67336

From geokb

{

 "USGS Publications Warehouse": {
   "schema": {
     "@context": "https://schema.org",
     "@type": "CreativeWork",
     "additionalType": "USGS Numbered Series",
     "name": "Analysis of continuous GPS measurements from southern Victoria Land, Antarctica",
     "identifier": [
       {
         "@type": "PropertyValue",
         "propertyID": "USGS Publications Warehouse IndexID",
         "value": "ofr20071047SRP065",
         "url": "https://pubs.usgs.gov/publication/ofr20071047SRP065"
       },
       {
         "@type": "PropertyValue",
         "propertyID": "USGS Publications Warehouse Internal ID",
         "value": 70094910
       },
       {
         "@type": "PropertyValue",
         "propertyID": "DOI",
         "value": "10.3133/ofr20071047SRP065",
         "url": "https://doi.org/10.3133/ofr20071047SRP065"
       }
     ],
     "inLanguage": "en",
     "isPartOf": [
       {
         "@type": "CreativeWorkSeries",
         "name": "Open-File Report"
       }
     ],
     "datePublished": "2007",
     "dateModified": "2014-02-25",
     "abstract": "Several years of continuous data have been collected at remote bedrock Global Positioning System (GPS) \nsites in southern Victoria Land, Antarctica. Annual to sub-annual variations are observed in the position time-series. An \natmospheric pressure loading (APL) effect is calculated from pressure field anomalies supplied by the European Centre \nfor Medium-Range Weather Forecasts (ECMWF) model loading an elastic Earth model. The predicted APL signal has \na moderate correlation with the vertical position time-series at McMurdo, Ross Island (International Global Navigation \nSatellite System Service (IGS) station MCM4), produced using a global solution. In contrast, a local solution in which \nMCM4 is the fiducial site generates a vertical time series for a remote site in Victoria Land (Cape Roberts, ROB4) \nwhich exhibits a low, inverse correlation with the predicted atmospheric pressure loading signal. If, in the future, \nknown and well modeled geophysical loads can be separated from the time-series, then local hydrological loading, of \ninterest for glaciological and climate applications, can potentially be extracted from the GPS time-series.",
     "description": "5 p.",
     "publisher": {
       "@type": "Organization",
       "name": "U.S. Geological Survey"
     },
     "author": [
       {
         "@type": "Person",
         "name": "Willis, Michael J.",
         "givenName": "Michael J.",
         "familyName": "Willis"
       }
     ],
     "spatialCoverage": [
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         "additionalType": "unknown",
         "name": "Antarctica"
       },
       {
         "@type": "Place",
         "additionalType": "unknown",
         "name": "Victoria Land"
       },
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