{"version_information": {"version": "det_AHW_v1.1", "compiled_date": "2026-04-05 17:10:29.444481", "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": "2026-Feb-11_to_2026-Feb-14_117.0_37.0"}, "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": 2026020001721}, "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": "February 11 2026"}, "end_date": {"name": "End date", "description": "Last date on which grid points are under the influence of an event", "value": "February 14 2026"}, "duration": {"name": "Duration", "description": "Time elapsed (days) from the start date to the end date", "value": 4}, "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": 483481.6300683568}, "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": ["China"]}, "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": ["Bohai Sea", "Yellow 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": 37.0}, "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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"description": "Mean t2m anomaly over entire duration", "value": 6.608490476422364}, "evo_areamean": {"name": "Evolution of mean t2m", "description": "The daily evolution of mean t2m.", "value": [7.350116984049521, 6.486475958791743, 7.869558056682081, 9.002020019738836]}, "evo_maxamp": {"name": "Evolution of maximum t2m", "description": "The daily evolution of maximum t2m.", "value": [7.850625610351585, 10.64319763183596, 12.504694875081384, 14.533620452880882]}, "anom_evo_areamean": {"name": "Evolution of mean t2m anomalies", "description": "The daily evolution of mean t2m anomalies.", "value": [5.147245299087473, 5.49577620286851, 6.697321947347857, 7.662194609200435]}, "anom_evo_maxamp": {"name": "Evolution of maximum t2m anomalies", "description": "The daily evolution of maximum t2m anomalies.", "value": [5.244037799368641, 7.99984362441046, 10.96887872431455, 10.434768775014845]}, "anom_scaled_evo_areamean": {"name": "Evolution of mean standardized t2m anomalies", "description": 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