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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Display risks for the selected region.
Limit your view to a specific area by selecting from a list of shapefiles that may be associated with your account. See Upload Shapefiles and Locations for additional detail.
Select a weather variable associated with the hazard you want to monitor. The options available depend on the selected timescale.
If timescale is daily, the available variables are:
Name | Variable |
---|---|
Cooling Degree Days | cdd |
Heating Degree Days | hdd |
Maximum Wind Gust (10 m) | wgst |
Maximum Daily Temperature | tmax |
Minimum Daily Temperature | tmin |
Precipitation | precip |
Relative Humidity | rh |
Soil Moisture (upper 10 cm) | sm |
Snow Cover | snow |
Soil Temperature (upper 10 cm) | st |
Temperature (2m) | temp |
Total Solar Insolation | tsi |
Wind Speed (10 m) | wspd |
Wind Direction (10 m) | wdir |
If timescale is weekly, the available variables are:
Thresholds can be defined using anomalies (departures from normal) or absolute values.