Facility Status with WeatherOptics Release Notes Add on board icon

This page contains the complete release notes for this Unified Command Platform board. Boards List and Downloads contains links to information about all Unified Command Platform boards, including a link to download them.

Facility Status with WeatherOptics updates by version
Version Release Date Changes
1.2 October 22, 2025

Board Enhancements

The Facility Status with WeatherOptics 1.2 release enhances the WeatherOptics board by introducing new indexes designed to improve risk awareness and situational intelligence. Most enhancements are focused on the Insights tab, giving users clearer, actionable context when monitoring severe weather events.

  • Life and Property Index: Provides a risk score to help assess potential impacts to populations, infrastructure, and assets.

  • Wildfire (Spread) Index: Offers predictive insights on wildfire spread potential, helping teams prepare and allocate resources more effectively.

  • Enhanced Insights Tab: Centralizes these new indexes alongside existing analytics, making it easier to interpret and act on weather intelligence in real time.

1.1

August 21, 2025

Dark mode is now supported.

1.0.0 June 11, 2024

Offering a direct integration with Juvare solutions, the Facility Status with WeatherOptics Board provides critical insight to better prepare people, property, and businesses for severe weather.

Using machine learning, the WeatherOptics JX Connector analyzes geospatial, business, and historical and developing weather data in relation to facilities, resources, and other locations in Juvare solutions. After analyzing the data, the WeatherOptics board models the impact of weather and natural disasters to facilitate faster, more coordinated responses.

Continuous weather monitoring and configurable notifications allow Juvare solutions to automatically alert stakeholders when risk thresholds elevate.

Features include:

  • Immediate analysis of geospatial, business, and weather data that spans decades.

  • Machine learning-driven models of the predicted impact of severe weather events.

  • Configurable notifications that can automatically alert stakeholders based on risk thresholds.