Met Office View Homepage


Ontology type: grid:Government  | foaf:Organization     


Organization Info

Publications in SciGraph latest 20 shown

  • 2019-12 Seasonality and the effects of weather on Campylobacter infections in BMC INFECTIOUS DISEASES
  • 2019-12 Climate change and climate change velocity analysis across Germany in SCIENTIFIC REPORTS
  • 2019-12 Ocean precursors to the extreme Atlantic 2017 hurricane season in NATURE COMMUNICATIONS
  • 2019-05 Gravity-Wave Drag in the Stable Boundary Layer Over Moderate Terrain in BOUNDARY-LAYER METEOROLOGY
  • 2019-04-08 Temperate airborne grass pollen defined by spatio-temporal shifts in community composition. in NATURE ECOLOGY & EVOLUTION
  • 2019-04 A high-resolution atmosphere–ocean coupled model for the western Maritime Continent: development and preliminary assessment in CLIMATE DYNAMICS
  • 2019-04 Seasonal predictability of winter ENSO types in operational dynamical model predictions in CLIMATE DYNAMICS
  • 2019-03-28 On the Formation and Development of Radiation Fog: An Observational Study in BOUNDARY-LAYER METEOROLOGY
  • 2019-03 Author Correction: El Niño–Southern Oscillation complexity in NATURE
  • 2019-03 Predictability of South China Sea Summer Monsoon Onset in ADVANCES IN ATMOSPHERIC SCIENCES
  • 2019-03 Risk and dynamics of unprecedented hot months in South East China in CLIMATE DYNAMICS
  • 2019-03 Wave-tide interaction modulates nearshore wave height in OCEAN DYNAMICS
  • 2019-02-26 UDINEE: Evaluation of Multiple Models with Data from the JU2003 Puff Releases in Oklahoma City. Part II: Simulation of Puff Parameters in BOUNDARY-LAYER METEOROLOGY
  • 2019-02-26 UDINEE: Evaluation of Multiple Models with Data from the JU2003 Puff Releases in Oklahoma City. Part I: Comparison of Observed and Predicted Concentrations in BOUNDARY-LAYER METEOROLOGY
  • 2019-02-25 Finding plausible and diverse variants of a climate model. Part II: development and validation of methodology in CLIMATE DYNAMICS
  • 2019-02-25 Finding plausible and diverse variants of a climate model. Part 1: establishing the relationship between errors at weather and climate time scales in CLIMATE DYNAMICS
  • 2019-02 Towards operational predictions of the near-term climate in NATURE CLIMATE CHANGE
  • 2019-02 Arctic summer sea-ice seasonal simulation with a coupled model: Evaluation of mean features and biases in JOURNAL OF EARTH SYSTEM SCIENCE
  • 2019-02 An assessment of ten ocean reanalyses in the polar regions in CLIMATE DYNAMICS
  • 2019-02 Impact of soil moisture initialization on boreal summer subseasonal forecasts: mid-latitude surface air temperature and heat wave events in CLIMATE DYNAMICS
  • JSON-LD is the canonical representation for SciGraph data.

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    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://www.grid.ac/institutes/grid.17100.37'

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

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

    curl -H 'Accept: application/rdf+xml' 'https://www.grid.ac/institutes/grid.17100.37'


     

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

    22 TRIPLES      13 PREDICATES      14 URIs      7 LITERALS

    Subject Predicate Object
    1 grid-institutes:grid.17100.37 sgo:sdDataset grid
    2 grid:crossrefFunderId 501100000847
    3 grid:establishedYear 1854-01-01
    4 grid:hasAddress grid-institutes:grid.17100.37/address-0
    5 grid:hasWikidataId wd:Q1851405
    6 grid:id grid.17100.37
    7 grid:isni 0000000405133830
    8 grid:wikipediaPage http://en.wikipedia.org/wiki/Met_Office
    9 rdf:type grid:Government
    10 foaf:Organization
    11 rdfs:label Met Office
    12 skos:altLabel Meteorological Office
    13 skos:prefLabel Met Office
    14 foaf:homepage http://www.metoffice.gov.uk/
    15 grid-institutes:grid.17100.37/address-0 sgo:sdDataset grid
    16 grid:cityName Exeter
    17 grid:countryCode GB
    18 grid:countryName United Kingdom
    19 grid:hasGeonamesCity http://sws.geonames.org/2649808/
    20 rdf:type grid:Address
    21 geo-pos:lat 50.727457
    22 geo-pos:long -3.473823
     




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