Our Approach
By factoring future climate data in a unique multiscale analysis, we have significantly improved the predictive probability of extreme weather and “relation risk” that may lead to economic and financial shocks, potential epidemics and pandemics and/or geopolitical conflicts.
Risk areas
Extreme Weather
Economic and Financial Shocks
Geopolitical Conflict
Pandemics
A Dynamic Model
Climate Data
Existing methods do not include future climate data - ours does.
Multiscale Analysis
Analysis of development of extreme events.
Extreme Value Analysis
We factor in extreme event historic probabilities.
The Extreme Event Risk approach yields better results.
How We're Different
We score models.
We derive structural metrics based on multiscale analysis.
We select models with the greatest probability.
We model events to decrease uncertainty.
Extreme Event Risk analyzes multiscale formation of extreme events with the greatest probabilities.
Data sources for products includes the National Ecological Observatory Network (NEON) National Oceanic and Atmospheric Administration (NOAA) and National Center for Atmospheric Research (NCAR).
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