Observation Instance

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{
    "ob_id": 12287,
    "uuid": "2650bf4c96dc421c931ac3e6b69ca9ed",
    "title": "DIAMET: Met Office Automatic Weather Stations (AWS) measurements",
    "abstract": "The DIAMET project aimed to better the understanding and prediction of mesoscale structures in synoptic-scale storms. Such structures include fronts, rain bands, secondary cyclones, sting jets etc, and are important because much of the extreme weather we experience (e.g. strong winds, heavy rain) comes from such regions. Weather forecasting models are able to capture some of this activity correctly, but there is much still to learn. By a combination of measurements and modelling, mainly using the Met Office Unified Model (UM), the project worked to better understand how mesoscale processes in cyclones give rise to severe weather and how they can be better represented in models and better forecast.\r\n\r\nThis dataset contains minute resolution meteorological measurements by the Met Office Automatic Weather Stations (AWS)  during the DIAMET intensive observation campaigns.",
    "keywords": "DIAMET, AWS, temperature, pressure, humidity",
    "publicationState": "published",
    "dataPublishedTime": "2015-04-27T15:18:21",
    "doiPublishedTime": null,
    "updateFrequency": "notPlanned",
    "status": "completed",
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        "dataPath": "/badc/stormsrisk/data/diamet/met-office-aws",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 13750246180,
        "numberOfFiles": 44332,
        "fileFormat": "Data CSV formatted"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3774/?format=api",
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    "dataLineage": "Data as received from project team",
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    "removedDataReason": "",
    "language": "English",
    "identifier_set": [],
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