{"version_information": {"version": "det_AHW_tail10.0_v1.1", "compiled_date": "2026-07-16 09:20:03.055567", "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": "2019-Jul-10_to_2019-Jul-25_83.5_31.0"}, "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": 2019070000429}, "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": "July 10 2019"}, "end_date": {"name": "End date", "description": "Last date on which grid points are under the influence of an event", "value": "July 25 2019"}, "duration": {"name": "Duration", "description": "Time elapsed (days) from the start date to the end date", "value": 16}, "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": "Cold spell"}, "area": {"name": "Area", "description": "The area (in square meters) encompassing all grid points under the influence of an event during its lifetime.", "value": 1432474.4902061583}, "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": ["Bhutan", "China", "India", "Nepal", "Pakistan"]}, "IPCC_regions": {"name": "IPCC regions", "description": "List of all IPCC regions affected", "value": ["E.C.Asia", "S.Asia", "Tibetan-Plateau", "W.C.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": []}, "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": 31.0}, "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": 83.5}, "center_latf": {"name": "Center latitude", "description": "Formatted version of center longitude", "value": "83.5\u00b0E"}, "western_lon": {"name": "Westernmost longitude", "description": "Westernmost longitude affected by event", "value": 74.25}, "eastern_lon": {"name": "Easternmost longitude", "description": "Easternmost longitude affected by event", "value": 97.75}, "southern_lat": {"name": "Southernmost latitude", "description": "Southernmost latitude affected by event", "value": 26.75}, "northern_lat": {"name": "Northernmost latitude", "description": "Northernmost latitude affected by event", "value": 38.75}, "polygons": {"name": "Polygons", "description": "Polygon vertices describing the boundary of the event at each time step", "value": {"2019-07-10T11:30:00.000000000": {"type": "MultiPolygon", "coordinates": [[[[86.97, 26.47], [86.75, 27.0], [86.97, 27.53], [87.5, 27.75], 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