Our approaches are built on scientific research:
We are currently employing a collaborative scheme that addresses climate change challenges in a threefold approach.
1) We use combine weather diagnostics with data scrapping techniques to associate socio-economic impacts with numerous weather events that took place in the recent past.
2) We offer tailored databases of socio-economic impacts due to weather events to support resilience and vulnerability estimations in different regions around the globe.
3) We use a plethora of modeling, AI and observational approaches to evaluate and asses weather hazards in climate scales.
4) We use dedicated modeling approaches to support and assess energy products, including the prediction of supply of renewable energy in various time scales.
The outcome of this threefold approach is spreading to a wide range of scientific applications and research lines. Few examples:
i) Supporting resilience planning: Use impacts database as a commercial product for (re-)insurance companies, constantly enriched by daily forecasts.
ii)
Support decision making: Provide the means for the calibration of catastrophe/exposure models to provide estimations on security issues, e.g. what are the expected impacts due to an imminent flood in a specific region?
iii)
Weather applications in forecasting and climate scales: Our tools support activities that go beyond stat-of-the-art. We provide the means to estimate what the weather will DO rather than what the weather will BE. Exemplary applications go to energy and risks: What is the expected production of solar energy in weekly, seasonal and climate scales? What are the return periods of catastrophic storms making landfall to specific areas?
iv)
Behavioral analysis: Use internet analytics to map societal response to high-impact weather events and climate-related topics.
