Climate Change Data Portal
| CEH_Open CLimate IMpacts modelling framework (OpenCLIM) | |
| 项目编号 | 46523F0D-9D27-4433-A804-014772D53358 |
| Richard Pywell | |
| 项目主持机构 | UK Ctr for Ecology & Hydrology fr 011219 |
| 开始日期 | 2020-05-01 |
| 结束日期 | 2022-08-31 |
| 英文摘要 | 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. |
| 学科分类 | 08 - 地球科学;09 - 环境科学 |
| 资助机构 | UK-NERC |
| 项目经费 | 195055 |
| 项目类型 | Research Grant |
| 国家 | UK |
| 语种 | 英语 |
| 文献类型 | 项目 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/191181 |
| 推荐引用方式 GB/T 7714 | Richard Pywell.CEH_Open CLimate IMpacts modelling framework (OpenCLIM).2020. |
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