A new computer model will simulate how climate change simultaneously affects UK cities, farms, wetlands, and infrastructure—and test which adaptations work best without causing unintended harm elsewhere. Earlier UK climate risk assessments relied on expert guesswork to connect impacts across different sectors, often missing cascading effects. For example, building flood defences might protect a city but worsen flooding downstream, or a heatwave adaptation could increase energy demand. The OpenCLIM project builds an integrated platform that models these interactions using physically-based simulations rather than rules of thumb, covering flooding, heat stress, changing temperature and precipitation across biodiversity, agriculture, infrastructure, and urban areas. If successful, the platform will directly support the UK’s statutory five-year Climate Change Risk Assessment and National Adaptation Plan. It will allow policymakers to systematically identify geographic hotspots, compare adaptation options, and see knock-on effects across sectors. The open-access design also aims to create a “living” community model that future researchers can extend with new sectors or improved science. Two detailed case studies—Glasgow and the Clyde, and the Norfolk Broads—will validate the national analysis before rollout.
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Climate change is one of the major threats of the 21st Century both nationally and globally. This requires a joint response of mitigation and adaptation as enshrined in the UK Climate Change Act, which mandates a Climate Change Risk Assessment (CCRA) every five years and a quinquennial National Adaptation Plan (NAP) to adapt to the climate risks that are identified. Assessing climate risks and adaptation in a consistent manner is scientifically challenging as climate change is manifest in multiple ways (rising temperature and sea level, changing precipitation, etc.) and impacts every human and natural system. Further there are direct and indirect impacts as these effects cascade and interact with other sectors which are often changing due to non-climate processes. Any proposed adaptations need to be assessed in a similar manner including direct and indirect effects and unintended consequences. Earlier UK climate assessments did not fully address this challenge relying in part on expert synthesis for integration, potentially leading to an over focus on direct consequences and leading to inconsistencies between sectors and between adaptation options. The OpenCLIM project is designed to support UK assessment of climate risks and adaptation needs, and future CCRAs and NAPs in particular, by developing and applying a first UK integrated assessment for climate impacts and adaptation. First and foremost we aim to develop an open, innovative and flexible platform to provide an improved capacity for the next CCRA and NAP. Our model will consider UK-wide climate impacts and adaptation in biodiversity, agriculture, infrastructure and urban areas, considering the impacts of flooding, heat stress and changing temperature and precipitation. It will also consider two detailed case studies: (1) an urban analysis of Glasgow and environs (the Clyde); and (2) a more rural analysis of the Norfolk Broads and environs. These will serve as a demonstration and validation exercise to inform the national analysis. Secondly, we will also design an open-access platform with a strong legacy which is flexible to allow further development of the integrated model beyond this funding. We aspire to develop a community model where new and improved models could be easily incorporated and innovative science and new policy questions investigated. Hence future CCRAs and NAPs could be linked to a living science process, drawing on evolving understanding and stakeholder needs. This would include improving knowledge in established sectors and areas, and developing better sectoral linkages and interactions, as well as adding new models of less established sectors and areas as they emerge, including the ability to reframe and pose new questions. Recognising the significant challenge of achieving this second goal, our model will be developed within the UKCIRC DAFNI (Data & Analytics Facility for National Infrastructure) facility for High Performance Computing. The platform will be designed to take the UKCP18 and new UK socioeconomic scenarios to ensure the best scientific inputs. The approach will be explicitly spatial and allow highlighting of geographical hotspot areas and the prioritisation of risks in a systematic and consistent manner including tabulation and mapping of outputs. The models that are included are all physically-based (rather than emulators or rules-of-thumb) and this will enable the generation of new research insights, including climatic risks in the UK. Importantly, the use of physically-based models will allow credible simulation of conditions that have not been previously observed and improve confidence in the results compared to earlier analyses.
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