Localized Climate Projection and Analysis software

本地化气候预测和分析软件

• 批准号: CCARD-2022-00501
• 负责人: MacDonald, Terri
• 金额: $ 2.9万
• 依托单位: Selkirk College
• 依托单位国家: 加拿大
• 项目类别: CCI Applied Research and Development Grants
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=743719
• 关键词: Localized; Climate; Projection; Analysis; software

Selkirk College has been providing innovative learning opportunities in Southeastern BC since 1966. Selkirk College is home to 70+ nationally recognized programs serving more than 2,700 full-time learners per year in six rural communities. Selkirk Innovates engages in interdisciplinary social science and technical research and has invested heavily over 20 years to develop expertise in geospatial and digital manufacturing technology, to advance social innovation research, and is integrating emerging research expertise in health care innovation and advanced computing. This ARD project is led by Selkirk Innovates' Advanced Computing team, who solve industrial problems using machine learning analyses and techniques, machine vision, as well as scientific and computational modelling. Selkirk Innovates and project partner Climatic Resources Consulting (CRC) recently collaborated on a research project involving the downscaling of global climate data using convolutional neural networks. The project will layer a novel "Localized Climate Projection and Analysis (LCap)" software interface over downscaled global climate data and statistical inference capability at CRC, providing additional project partner, the City of Edmonton, with a regionally-specific and user-friendly software portal enabling climate adaption planning. This tool will allow CRC to facilitate quantitative estimates of the probability of exceedance of critical climate thresholds for a wide range of community assets, enabling a data-driven approach for the prioritization of climate adaptation measures for community infrastructure and operations. CRC and the City of Edmonton will be able to explore the application of the threshold exceedance probability approach to a variety of applications in asset management structures and operations. Whether applied to simple (e.g., critical temperature thresholds) or complex (e.g., budgetary thresholds) scenarios, the development of a more quantitative approach to assessing risks will lead to a better understanding of the potential impacts of future climate change and will facilitate the prioritization of adaptation measures. If successful, this LCap tool and approach could be applied to communities and organizations across the country to considerable environmental and economic benefit.

自1966年以来，塞尔柯克学院一直在不列颠哥伦比亚省东南部提供创新的学习机会。塞尔柯克学院拥有70多个国家认可的课程，每年在六个农村社区为2,700多名全日制学习者提供服务。塞尔柯克创新从事跨学科的社会科学和技术研究，并已投入巨资超过20年，以发展在地理空间和数字制造技术的专业知识，以推进社会创新研究，并正在整合新兴的研究专业知识，在医疗保健创新和先进的计算。该ARD项目由塞尔柯克创新的高级计算团队领导，他们使用机器学习分析和技术、机器视觉以及科学和计算建模来解决工业问题。塞尔柯克创新和项目合作伙伴气候资源咨询公司（CRC）最近合作了一个研究项目，涉及使用卷积神经网络缩小全球气候数据。该项目将在CRC的缩小规模的全球气候数据和统计推断能力之上建立一个新的“局部气候预测和分析（LCap）”软件界面，为项目合作伙伴埃德蒙顿市提供一个针对具体区域的用户友好型软件门户，以实现气候适应规划。该工具将使CRC能够促进对各种社区资产的关键气候阈值的概率进行定量估计，从而能够采用数据驱动的方法来优先考虑社区基础设施和业务的气候适应措施。CRC和埃德蒙顿市将能够探索阈值重复概率方法在资产管理结构和运营中的各种应用。是否应用于简单的（例如，临界温度阈值）或复杂（例如，通过评估气候变化（预算阈值）情景，制定一种更加量化的风险评估方法，将有助于更好地了解未来气候变化的潜在影响，并有助于确定适应措施的优先次序。如果成功的话，这种LCap工具和方法可以应用于全国各地的社区和组织，以获得可观的环境和经济效益。