The ability to make decisions and take actions in advance when there is the potential for future weather hazards is extremely valuable. The additional lead time provides an opportunity to respond earlier by mobilizing resources, sending alerts, or taking proactive trading/hedging decisions. Visualize where and when weather hazards are predicted based on custom thresholds using a probabilistic view of different risk levels. You can customize the intensity thresholds that define high-impact weather events (including rain, wind gust, heat, and cold). Similarly, the risk levels that triggers action, i.e. the probabilistic likelihood of reaching these intensity thresholds can also be customized. Outputs can be plotted geospatially (NetCDF) or as a csv.
Choose the system of measurement you want to use.
SI - International System of units is the metric system.
US - United States measurement system commonly used in the United States and most U.S. territories.
<aside> 💡 Note: The exceedance of risk thresholds is calculated in real time. Selecting large regions will impact the performance.
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Select a weather variable associated with the hazard you want to monitor. The options available depend on the selected timescale.
Thresholds can be defined using anomalies (departures from normal) or absolute values.
Type | Threshold Condition | Field | Description |
---|---|---|---|
Anomaly | Above/Below | Percentile | Trigger a risk alert if the anomaly threshold is above/below a specified climatology distribution percentile. Using a percentile accounts for variable anomaly values based on the geographical region. |
Anomaly | Above/Below | Value | Trigger a risk alert if the anomaly threshold is above/below a specified anomaly value. Use anomaly value to identify risks based on the magnitude of the delta from the climatological norm. Example: Enter ‘Below -5 degree anomaly’ to create an alert for colder than normal temperature anomaly. |
Value | Above/Below | Value | Trigger a risk alert if the anomaly threshold is above/below a specified daily value or weekly average depending on the timescale). |
Duration | Days | Number of consecutive days over which the risk threshold must be observed . This option is only available if the timescale is Daily. |
Risk levels define the level of certainty required to trigger a warning notification. The level of categorical risk can be derived using either relative risk or absolute risk types.
Relative risk (risk ratio) defines risk levels by comparing the forecast probability to the climatological risk (historically observed probability) of exceeding the specified risk threshold. A risk notification is triggered when the forecast diverges from climatology.