A unified approach to emergent climate forecast
climate impact
Extreme weather is now the expected case, not the exception — and the data has to keep up.
As climate change increases the likelihood of extreme weather events, data insights that mitigate disaster are of the utmost importance. Wildfires are a prime example—knowing which areas are most at risk can help stakeholders decide how to prioritize preventative and preparatory measures. Organizations need a platform that integrates real-time weather, multiple climate models and streaming satellite telemetry from a range of constellations into a unified workflow — combining them with other data to advance atmospheric science research, analyze the impact on populations, infrastructure and ecosystems, and build the applications that enable adaptation to climate change.
Designing for Disaster
AI-Enhanced workflows for
Climate modeling
Fusion of all data sources to include structured, unstructured and esoteric academic formats.
Climate disaster models require prebuilt machine-learning workflows for risk analysis and pattern detection, enriched with multiple climate models and open-source data sources. In-platform analytics are key for immediate alerting, but the ability to export, virtualize and abstract data and metadata to any third-party system or interface is critical. Thermal irregularity detection extends this further, with real-time streaming of all climate & wildfire sources: air quality, fire surveillance, thermal (MODIS, VIIRS, GOES), wind & weather.
Real-time alerting for real-time intelligence
Real-Time Decisions
on edge
Threat warning analysis and reporting for any geospatial location depends on understanding the location, health and activity of your assets on the ground, in the air, or underwater.
Alerting and intelligence-driven action can only be leveraged with precision location coupled with threat determination. With active-active support, each remote edge site, FOB or ECP can function independently for threat analysis and support viability determination. Integration with updated playbooks and global telemetry can be key in preparing and surviving a large-scale disruption. Operations in tactically denied or disaster-impaired regions depend on data simplicity with complete source visibility and governed sharing of diverse data types with ease of access, trust, and control.
