{"version_information": {"version": "det_AHW_tail10.0_v1.2", "compiled_date": "2026-06-27 18:37:17.745698", "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": "2023-Dec-03_to_2023-Dec-05_139.0_76.0"}, "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": 2023120000954}, "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": "December 03 2023"}, "end_date": {"name": "End date", "description": "Last date on which grid points are under the influence of an event", "value": "December 05 2023"}, "duration": {"name": "Duration", "description": "Time elapsed (days) from the start date to the end date", "value": 3}, "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": 155688.53808877047}, "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": ["Russian Federation"]}, "IPCC_regions": {"name": "IPCC regions", "description": "List of all IPCC regions affected", "value": ["Arctic-Ocean", "Russian-Arctic"]}, "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": ["Arctic Ocean", "East Siberian Sea", "Laptev 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": 76.0}, "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). 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maximum t2m", "description": "The daily evolution of maximum t2m.", "value": [-14.768639951722378, -13.316965342585831, -14.91313856658843]}, "anom_evo_areamean": {"name": "Evolution of mean t2m anomalies", "description": "The daily evolution of mean t2m anomalies.", "value": [7.507398089374138, 8.735235050110933, 7.724542270417561]}, "anom_evo_maxamp": {"name": "Evolution of maximum t2m anomalies", "description": "The daily evolution of maximum t2m anomalies.", "value": [11.470962497891577, 12.176063067908501, 12.214622098341096]}, "anom_scaled_evo_areamean": {"name": "Evolution of mean standardized t2m anomalies", "description": "The daily evolution of mean standardized t2m anomalies.", "value": [1.5170970245874735, 1.7511877565502667, 1.5128741289109553]}, "anom_scaled_evo_maxamp": {"name": "Evolution of maximum standardized t2m anomalies", "description": "The daily evolution of maximum standardized t2m anomalies.", "value": [1.6888354729085469, 1.9368672726110612, 1.7697718921372545]}}