{"version_information": {"version": "det_AHW_tail10.0_v1.1", "compiled_date": "2026-07-16 09:04:12.786153", "data_source": "ERA5", "website": "http://wexa.jamstec.go.jp", "Author": "Patrick Martineau"}, "event_id": {"name": "Event ID", "description": "A unique identifier based on: beginning_date, end_date, longitude, and latitude", "value": "2015-Nov-05_to_2015-Nov-09_135.0_35.0"}, "event_label": {"name": "Event label", "description": "Integer-valued grid identifier that uniquely labels each detected extreme event in space and time, consistent with the corresponding labels stored in the NetCDF dataset.", "value": 2015110001251}, "status": {"name": "Status", "description": "An ongoing event denotes an event that lasts up to the latest data available. These events are subject to change as newer data is added.", "value": false}, "start_date": {"name": "Start date", "description": "First date on which grid points are under the influence of an event", "value": "November 05 2015"}, "end_date": {"name": "End date", "description": "Last date on which grid points are under the influence of an event", "value": "November 09 2015"}, "duration": {"name": "Duration", "description": "Time elapsed (days) from the start date to the end date", "value": 5}, "figures_available": {"name": "Figures available", "description": "True if figures were pre-generated for this event", "value": true}, "detection_var": {"name": "Detection variable", "description": "Variable used for the detection scheme", "value": "t2m"}, "event_type": {"name": "Event type", "description": "Type of the event detected", "value": "Heat wave"}, "area": {"name": "Area", "description": "The area (in square meters) encompassing all grid points under the influence of an event during its lifetime.", "value": 140844.87552609123}, "countries_affected": {"name": "Countries affected", "description": "The ArcGIS geocoding API (https://developers.arcgis.com/rest/geocode/) is used to obtain a list of all the countries affected by an event during its lifetime.", "value": ["Japan"]}, "IPCC_regions": {"name": "IPCC regions", "description": "List of all IPCC regions affected", "value": ["E.Asia"]}, "continents_affected": {"name": "Continents affected", "description": "List of all continents affected", "value": ["Asia"]}, "oceans_affected": {"name": "Ocean basins affected", "description": "The ArcGIS geocoding API (https://developers.arcgis.com/rest/geocode/) is used to obtain a list of all the ocean basins affected by an event during its lifetime.", "value": ["Eastern China Sea", "Philippine Sea", "Seto Naikai or Inland Sea"]}, "center_lat": {"name": "Center latitude", "description": "Latitude of the maximum time-integrated standardized t2m anomalies. Only t2m of the same polarity as the events are considered (positive T2m for a HW, for instance). The centre is thus representative of both the severity and persistence of anomalies.", "value": 35.0}, "center_lon": {"name": "Center longitude", "description": "Longitude of the maximum time-integrated standardized t2m anomalies. Only t2m of the same polarity as the events are considered (positive T2m for a HW, for instance). The centre is thus representative of both the severity and persistence of anomalies.", "value": 135.0}, "center_latf": {"name": "Center latitude", "description": "Formatted version of center longitude", "value": "135.0\u00b0E"}, "western_lon": {"name": "Westernmost longitude", "description": "Westernmost longitude affected by event", "value": 129.75}, "eastern_lon": {"name": "Easternmost longitude", "description": "Easternmost longitude affected by event", "value": 138.25}, "southern_lat": {"name": "Southernmost latitude", "description": "Southernmost latitude affected by event", "value": 30.75}, "northern_lat": {"name": "Northernmost latitude", "description": "Northernmost latitude affected by event", "value": 36.75}, "polygons": {"name": "Polygons", "description": "Polygon vertices describing the boundary of the event at each time step", "value": {"2015-11-05T11:30:00.000000000": {"type": "MultiPolygon", "coordinates": [[[[133.75, 35.5], [133.97, 36.03], [134.5, 36.25], [134.75, 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