Coastal areas are already exposed to multiple hazards, including temperature, sea level rise, storm surge, hurricanes and precipitation. These hazards are expected to show a significant change in their patterns and variability in the coming decades. Further, the impacts of climate-driven events are systemic in nature hitting the water – energy – food nexus. The large number of critical assets and cities located near coastlines provides an indication of the assets and population at risk. DNV GL customers operate in coastal areas where they have a variety of critical assets, for example: yards and ports (Maritime), LNG terminals, refineries and offshore installations (Oil & Gas), power plants and wind farms (Energy), fish farms (Business Assurance) and a web of infrastructures and people (Cities). This project seeks to better understand how resilience thinking can be put into practice in the face of extreme weather events and climate change related hazards. We believe that a systems perspective on resilience is as a useful approach to develop well designed policies where cities can respond to changes and stresses and at the same time be able to deliver essential services. The project will focus on how the tools and frameworks that SR&I has developed and is continuing to develop can be utilized in combination in order to provide the best decision making support. Some of these tools and frameworks are: • SURF (Systems & Urban Resilience Framework) offers a structured and systematic process that provides guidelines about the scale, complexities and uncertainties associated with cities and climate-change-related hazards in order to enhance long-term decision making. • ADAPT risk assessment framework. The framework takes the user from the initial assessment of weather impacts to the final planning of adaptation projects against climate risks. • C-GEAR CORE (Climatic Geo-Enhanced Assessment of Risks) climate risk platform. This digital solution consists of an engine with a suite of embedded models based on the data specifications. The platform allows the inclusion of up-to-date climate data and proprietary information. Activities Activity 1: Global multi hazard maps and risk benchmarking In this activity multi hazard maps will be developed for selected global assets and urban areas. The aim of these maps is to create awareness of the asset at risk as well as support decision makers to take action. The maps will provide the opportunity to benchmark assets and urban areas on a global scale. Examples of assets may include: LNG terminals, ports, electrical utilities and cities. Activity 2: Risk and resilience assessment of individual coastal assets Activity 2 builds on Activity 1 with the aim of conducting a comprehensive risk and resilience assessment of a coastal asset on a local scale. The focus is not just to see the selected asset in isolation but how the asset relies on supporting infrastructure and local resources such as water and energy. Activity 3: Risk and resilience assessment of wider coastal urban areas Activity 3 builds on Activity 1 with the aim of conducting risk and resilience assessment of a coastal urban area. This activity directs attention to aspects that will strengthen resilience in the long term from an integrated, systems perspective, by considering the synergetic performance between different urban systems. Activity 4: Business models analysis Activity 4 will explore different business models that can be used to deliver DNV GL resilience and adaptation services based on the learning from the case studies. These business models should describe the rationale for how DNV GL creates, delivers and captures value. These models must reflect the current offering under development. This is an activity that has to involve key people in the business areas.