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Harnessing Science to Navigate Climate Risks
At Ventrx, our science-based approach transforms extensive climate datasets, as well as the built and natural environments, into actionable insights.
CLIMATE RISK BEYOND CLIMATE SCIENCE
Understanding climate risk transcends mere measurement of climate variables; it involves a comprehensive assessment of how climate extremes influence business and society. At Ventrx, we utilize the precision of engineering-based models to capture the connections between climate drivers and their real-world impacts. Our analyses quantify these effects in operational and financial terms, facilitating the incorporation of climate risks into your existing risk management frameworks and reporting mechanisms.
INTEGRATING AI AND PHYSICS-BASED MODELS
In our pursuit to enhance climate risk analysis, Ventrx seamlessly combines the foundational rigor of physics-based models with the predictive power of artificial intelligence (AI). We use AI to process a vast array of satellite-derived data as foundational inputs to complex environmental models. We integrate these into physics-based models to simulate extreme events, ensuring that our estimates are both data-driven and deeply rooted in the physical realities of climate phenomena.
PROBABILISTIC MODELING
At the heart of risk analysis lies the intrinsic nature of uncertainty. Our approach, rooted in probabilistic modeling, embraces this by capturing a broad spectrum of climate scenarios—including thousands of synthetic years of extreme events—to delineate a comprehensive range of potential outcomes. To capture uncertainties in both climate drivers and their material impacts, we compute millions of complex simulations executed on the most advanced supercomputers. This rigorous process not only ensures the utmost transparency in our assessments but also equips stakeholders to precisely calibrate their risk management strategies—whether preparing for the most probable events, safeguarding against the most distant possibilities, or navigating the continuum in between.
TRANSPARENCY, VALIDATION AND REVIEW
Ensuring the accuracy and reliability of our climate risk models and analyses is paramount. To achieve this, we implement a rigorous validation process, meticulously comparing our models' outputs with empirical data collected from a wide range of sources and geographies. This step is crucial for refining our models and ensuring they accurately represent real-world conditions. Beyond internal validation, we embrace the scientific method's core principle of peer review. Our work is regularly published in esteemed peer-reviewed journals, presented at leading scientific conferences, and subjected to the constructive critique of foremost experts in the field. No black boxes are used, all our models can be queried and validated.
INTERDISCIPLINARY EXPERTISE
Climate risk is multifaceted, touching on aspects of climate science probabilistic risk analysis, engineering, economics, and beyond. Our team brings together leading experts from across these disciplines, ensuring our models and recommendations are as comprehensive as they are cutting-edge.
