High resolution modelling of stable boundary layers over complex terrain

复杂地形稳定边界层的高分辨率建模

• 批准号: NE/I007679/1
• 负责人: Andrew Ross
• 金额: $ 35.73万
• 依托单位: University of Leeds
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2011
• 资助国家: 英国
• 起止时间: 2011 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FI007679%2F1
• 关键词: resolution; modelling; stable; boundary; layers

Near-surface temperatures, fog formation and pollutant trapping associated with stable night-time conditions over complex terrain are frequently poorly forecast and yet are often associated with adverse economic and safety impacts in the UK. Such conditions are often associated with cold air pooling and drainage flow episodes within the valleys. Improving forecasting of such conditions and also their representation in coarse resolution numerical weather prediction (NWP) and climate models are strategic priorities for the Met Office. This collaborative project addresses important scientific questions through work by academic and Met Office researchers and follows this through to operational implementation of model improvements. The science is challenging because the small scale of the terrain means that drainage flows, gravity waves and hence stable boundary layer (SBL) variability and fog formation all occur on small spatial scales, which are often smaller than the resolution of current forecast models. More fundamentally, the physical processes leading to the decoupling of the air in a valley from the flow aloft are not well understood. In this project high-resolution model simulations will be conducted and compared with recent field observations in order to improve the representation of processes leading to the formation of cold air pools and valley fog. The recent COLPEX field campaign provides a unique set of high density, medium term observations over moderate scale terrain typical of the UK. This approach will deliver validated improvements to forecasting capability. Integration at all stages between the academic and Met Office collaborators will ensure that the scientific advances are translated into improved forecast skill.

近地表温度，与稳定的夜间条件相关的复杂地形的雾气形成和污染物陷阱通常预测较差，但通常与英国不利的经济和安全影响有关。这种情况通常与山谷内的冷空气合并和排水流动发作有关。改善对此类条件的预测以及它们在粗分辨率数字天气预测（NWP）和气候模型中的代表性是大都会办公室的战略优先事项。该协作项目通过学术和大都会办公室研究人员的工作解决了重要的科学问题，并遵循这一问题，直到进行了模型改进的运营实施。科学是具有挑战性的，因为地形的小尺度意味着排水流，重力波，因此稳定的边界层（SBL）变异性和雾形成都发生在小空间尺度上，这通常小于当前预测模型的分辨率。从根本上讲，尚不清楚导致山谷中空气脱钩的物理过程尚不清楚。在该项目中，将进行高分辨率模型模拟，并将其与最近的现场观测结果进行比较，以改善导致冷空气池和山谷雾形成的过程的表示。最近的COLPEX现场运动提供了一套独特的高密度，中期观察，比英国典型的中等规模地形。这种方法将为预测能力提供验证的改进。在学术和大都会办公室合作者之间的各个阶段的整合将确保科学进步被转化为提高的预测技能。

项目成果

COLPEX: Field and Numerical Studies over a Region of Small Hills

COLPEX：小丘陵地区的实地和数值研究

• DOI: 10.1175/2011bams3032.1
• 发表时间: 2011
• 期刊: Bulletin of the American Meteorological Society
• 影响因子: 8
• 作者: Price J

A case-study of cold-air pool evolution in hilly terrain using field measurements from COLPEX

使用 COLPEX 现场测量进行丘陵地形冷空气池演变的案例研究

• DOI: 10.1002/qj.3499
• 发表时间: 2019
• 期刊: Quarterly Journal of the Royal Meteorological Society
• 影响因子: 8.9
• 作者: Jemmett-Smith B

Assessment of valley cold pools and clouds in a very high-resolution numerical weather prediction model

在极高分辨率数值天气预报模型中评估山谷冷池和云

• DOI: 10.5194/gmd-8-3105-2015
• 发表时间: 2015
• 期刊: Geoscientific Model Development
• 影响因子: 5.1
• 作者: Hughes J

Assessment of valley cold pools and clouds in a very high resolution NWP model

在极高分辨率 NWP 模型中评估山谷冷池和云

• DOI: 10.5194/gmdd-8-4453-2015
• 发表时间: 2015
• 作者: Hughes J