EGU23-17497, updated on 22 Apr 2023
https://doi.org/10.5194/egusphere-egu23-17497
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Bridging the Gap: Cervest's Climate Intelligence Approach for Effective Adaptation Strategies

Edward Peter Morris Boyne, Chloé Prodhomme, Adam Jay Pain, and Benjamin Laken
Edward Peter Morris Boyne et al.
  • Cervest, UK

Cervest, a climate intelligence startup, addresses the need for effective adaptation strategies by bridging the gap between disciplines. We use cutting-edge science techniques such as high-resolution convection-permitting models, remote sensing, hydrology, bayesian statistical modeling, machine learning, and data science to provide accurate, localized physical risk assessments for assets. Our climate intelligence product also accounts for assets vulnerability and multi-hazard, multi-risks. It can be used to assess not only the direct impacts of extreme events but also their indirect effects on supply chains and economic production networks. In this session, we will present our vision for the future of climate intelligence and share our novel probabilistic approach to assessing the impacts of climate change.

How to cite: Morris Boyne, E. P., Prodhomme, C., Pain, A. J., and Laken, B.: Bridging the Gap: Cervest's Climate Intelligence Approach for Effective Adaptation Strategies, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-17497, https://doi.org/10.5194/egusphere-egu23-17497, 2023.