Weather Extremes Archive
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https://zenodo.org/doi/10.5281/zenodo.20550615
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This record contains the core data of the Weather Extremes Archive (WEXA; https://wexa.jamstec.go.jp) database, divided into two main components:
event_statistics.zip (JSON Format): Contains the physical properties and metadata of the archived extreme weather events
event_labels.zip (NetCDF Format): Contains the unique gridded labels (variable: event_labels) corresponding to the events.
The JSON file details the following physical properties for each extreme weather event:
Properties
JSON field
Description
Event ID
event_id
A unique identifier based on: beginning_date, end_date, longitude, and latitude
Event label
event_label
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
Start date
start_date
First date on which grid points are under the influence of an event
End date
end_date
Last date on which grid points are under the influence of an event
Duration
duration
Time elapsed (days) from the start date to the end date
Status
status
An ongoing event denotes an event that lasts up to the latest data available. These events are subject to change as newer data are added.
Center latitude
center_lat
Latitude of the maximum time-integrated standardized T2m anomalies. Only T2m of the same polarity as the events are considered (positive for a HW, for instance). The centre is thus representative of both the severity and persistence of anomalies.
Center longitude
center_lon
Same as above but for longitude
Center latitude formatted
center_latf
Formatted version of center latitude
Center longitude formatted
center_lonf
Formatted version of center longitude
Westernmost longitude
western_lon
Westernmost longitude affected by event
Easternmost longitude
eastern_lon
Easternmost longitude affected by event
Southernmost latitude
southern_lat
Southernmost latitude affected by event
Northernmost latitude
northern_lat
Northernmost latitude affected by event
Event type
event_type
Type of the event detected
Detection variable
detection_var
Variable used for the detection scheme
Area
area
The area (in km2) encompassing all grid points under the influence of an event during its lifetime.
Countries affected
countries_affected
The World Countries database (https://hub.arcgis.com/datasets/esri::world-countries/) is used to obtain a list of all the countries affected by an event during its lifetime.
Continents affected
continents_affected
The World Countries database (https://hub.arcgis.com/datasets/esri::world-countries/) is used to obtain a list of all the continents affected by an event during its lifetime.
IPCC regions
IPCC_regions
List of all IPCC regions affected. More details about these regions are provided at https://www.ipcc.ch/report/ar6/wg1/downloads/factsheets/IPCC_AR6_WGI_Regional_Fact_Sheet_Introduction.pdf and the shapefiles describing these regions were obtained from https://github.com/IPCC-WG1/Atlas/tree/devel/reference-regions
Oceans basins affected
oceans_affected
World_Seas_IHO_v3.shp dataset is used to obtain a list of all the ocean basins affected by an event during its lifetime.
Polygons
polygons
Polygon vertices describing the boundary of the event at each time step
Mean anomaly amplitude
mean_amp
Mean anomaly over entire duration
Max anomaly amplitude
max_amp
Maximum anomaly recorded over entire duration
Evolution of maximum T2m
evo_maxamp
The daily evolution of maximum
Evolution of mean T2m
evo_areamean
The daily evolution of mean
Evolution of maximum T2m anomalies
anom_evo_maxamp
The daily evolution of maximum anomalies
Evolution of mean T2m anomalies
anom_evo_areamean
The daily evolution of mean anomalies
Evolution of maximum standardized T2m anomalies
anom_scaled_evo_maxamp
The daily evolution of maximum standardized anomalies
Evolution of mean standardized T2m anomalies
anom_scaled_evo_areamean
The daily evolution of mean standardized anomalies
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Zenodo创建时间:
2026-06-09



