{"version_information": {"version": "det_AHW_tail10.0_v1.1", "compiled_date": "2026-07-16 09:18:14.426661", "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": "2018-Oct-02_to_2018-Oct-08_78.5_9.0"}, "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": 2018100000159}, "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": "October 02 2018"}, "end_date": {"name": "End date", "description": "Last date on which grid points are under the influence of an event", "value": "October 08 2018"}, "duration": {"name": "Duration", "description": "Time elapsed (days) from the start date to the end date", "value": 7}, "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": 72985.53245613887}, "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": ["India"]}, "IPCC_regions": {"name": "IPCC regions", "description": "List of all IPCC regions affected", "value": ["S.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": ["Bay of Bengal", "Laccadive 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": 9.0}, "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": 78.5}, "center_latf": {"name": "Center latitude", "description": "Formatted version of center longitude", "value": "78.5\u00b0E"}, "western_lon": {"name": "Westernmost longitude", "description": "Westernmost longitude affected by event", "value": 77.25}, "eastern_lon": {"name": "Easternmost longitude", "description": "Easternmost longitude affected by event", "value": 79.75}, "southern_lat": {"name": "Southernmost latitude", "description": "Southernmost latitude affected by event", "value": 8.25}, "northern_lat": {"name": "Northernmost latitude", "description": "Northernmost latitude affected by event", "value": 12.25}, "polygons": {"name": "Polygons", "description": "Polygon vertices describing the boundary of the event at each time step", "value": {"2018-10-02T11:30:00.000000000": {"type": "MultiPolygon", "coordinates": [[[[77.47, 8.47], [77.25, 9.0], [77.47, 9.53], [78.0, 9.75], [78.25, 9.65], [78.5, 9.75], [79.03, 9.53], [79.25, 9.0], [79.03, 8.47], [78.5, 8.25], [78.25, 8.35], [78.0, 8.25], [77.47, 8.47]]]]}, "2018-10-03T11:30:00.000000000": {"type": "MultiPolygon", "coordinates": [[[[77.25, 9.0], [77.47, 9.53], [77.82, 9.68], [77.97, 10.03], [78.32, 10.18], [78.47, 10.53], [79.0, 10.75], [79.53, 10.53], [79.75, 10.0], [79.54, 9.5], [79.75, 9.0], [79.53, 8.47], [79.18, 8.32], [79.03, 7.97], [78.5, 7.75], [77.97, 7.97], [77.82, 8.32], [77.47, 8.47], [77.25, 9.0]]]]}, "2018-10-04T11:30:00.000000000": {"type": "MultiPolygon", "coordinates": [[[[76.97, 11.53], [77.5, 11.75], [77.75, 11.65], [77.88, 11.7], [77.75, 12.0], [77.97, 12.53], [78.5, 12.75], [78.75, 12.65], [79.0, 12.75], [79.53, 12.53], [79.68, 12.18], [80.03, 12.03], [80.25, 11.5], [80.15, 11.25], [80.25, 11.0], [80.03, 10.47], [79.68, 10.32], [79.65, 10.25], [79.75, 10.0], [79.65, 9.75], [79.75, 9.5], [79.65, 9.25], [79.75, 9.0], [79.53, 8.47], [79.18, 8.32], [79.03, 7.97], [78.5, 7.75], [78.25, 7.85], 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"coordinates": [[[[78.5, 9.75], [79.03, 9.53], [79.25, 9.0], [79.03, 8.47], [78.68, 8.32], [78.53, 7.97], [78.0, 7.75], [77.47, 7.97], [77.25, 8.5], [77.47, 9.03], [77.82, 9.18], [77.97, 9.53], [78.5, 9.75]]]]}}}, "max_amp": {"name": "Maximum anomaly amplitude", "description": "Maximum t2m anomaly recorded over entire duration", "value": -3.7674070996465048}, "mean_amp": {"name": "Mean anomaly amplitude", "description": "Mean t2m anomaly over entire duration", "value": -2.4834587359913534}, "evo_areamean": {"name": "Evolution of mean t2m", "description": "The daily evolution of mean t2m.", "value": [26.969473324718763, 27.05509771567216, 25.632476234684134, 26.18786016291574, 26.023059516766693, 26.946849789584064, 27.17536095355166]}, "evo_maxamp": {"name": "Evolution of maximum t2m", "description": "The daily evolution of maximum t2m.", "value": [26.90564045138302, 26.56735191736192, 23.547789049996766, 24.12966294770746, 24.16695690935734, 26.70573600734241, 27.097983324459108]}, 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evolution of maximum standardized t2m anomalies.", "value": [-1.8712606511107566, -1.823317860076991, -2.4365664236226228, -2.1238237847293617, -2.369058214206355, -1.9106561517629905, -1.7054165041641152]}}