Bridging the gaps between data collection and prediction at thunderstorm scales

缩小雷暴规模数据收集和预测之间的差距

• 批准号: RGPIN-2017-04475
• 负责人: Fabry, Frédéric
• 金额: $ 1.6万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=678610
• 关键词: Bridging; gaps; between; data; collection

While weather forecasting in general is showing steady progress, the timeliness and quality of warnings for severe and damaging weather has not markedly improved in the past decade. This occurs even though the tools and approaches used (forecasting models, computers, etc) have become more sophisticated. We hence believe this lack of progress is due to the fact that the current state of the atmosphere, necessary to make any forecast, is not correctly assessed. If this is the case, then we need to perform more research work on how to better measure the atmosphere in conditions when and where severe weather can occur, as well as on how to improve how the measurements are being used to provide information to weather forecasting tools. Since storm formation and evolution is critically dependent on temperature and humidity patterns, and since those are poorly measured over large areas with existing instruments, particularly in cloudy or stormy conditions, it is on this task that we will put most of our efforts.******To advance this task over the next five years, we will undertake a multi-pronged research effort. Namely, we will:******- Improve the information obtained from existing instruments: Our focus will be on continuing the development of a radar-based technique to obtain information of the humidity of air close to the surface that generally feed storms;******- Test a new instrument: We will evaluate the measurements obtained by a new prototype instrument developed here and designed to get information on temperature and humidity in the lower atmosphere over large areas;******- Revise current approaches to use measurements to initialize forecast models: We will develop new ideas on how to better assimilate or take advantage of the information coming from measurements to obtain a more accurate and complete description of the state of the atmosphere. Specifically, we want to devise new ways to take the information we have about the present and the past and better infer the state of the atmosphere that caused them with a focus on retrieving information most relevant to its future state.******In parallel, we will continue the development of a simple yet effective approach to forecast precipitation by using the time evolution of radar echoes of precipitation to determine what these will do in the future.******This research will be primarily performed by undergraduate and graduate students under my supervision. Our hope is that, in combination, all these lines of inquiry will help eliminate the main obstacle to better forecasts of damaging weather such as floods, hail, and tornadoes.**

虽然天气预报总体上显示出稳步进展，但过去十年来，严重和破坏性天气警报的及时性和质量没有明显改善。即使使用的工具和方法（预测模型、计算机等）变得更加复杂，也会出现这种情况。因此，我们认为，缺乏进展的原因是没有正确评估目前的大气状况，而这是作出任何预报所必需的。如果是这样的话，那么我们需要进行更多的研究工作，研究如何在恶劣天气可能发生的时间和地点更好地测量大气，以及如何改进测量方法，为天气预报工具提供信息。由于风暴的形成和演变严重依赖于温度和湿度模式，而且由于现有仪器在大面积区域内测量效果较差，特别是在多云或暴风雨条件下，因此我们将把大部分精力放在这项任务上。*为了在未来五年推进这项任务，我们将进行多管齐下的研究工作。也就是说，我们将：**-改进从现有仪器获得的信息：我们的重点将是继续开发一种基于雷达的技术，以获得靠近地面的空气湿度信息，这些空气湿度通常会助长风暴;**-测试一种新仪器：我们将评估在这里开发的一种新的原型仪器所获得的测量结果，该仪器旨在获得低层大气中温度和湿度的信息，大面积;**-修改目前的方法，使用测量来初始化预测模型：我们将开发新的想法，如何更好地吸收或利用来自测量的信息，以获得更准确和完整的大气状态描述。具体来说，我们希望设计新的方法来获取我们所拥有的关于现在和过去的信息，并更好地推断导致它们的大气状态，重点是检索与其未来状态最相关的信息。与此同时，我们将继续开发一种简单而有效的方法来预测降水，方法是利用降水雷达回波的时间演变来确定这些回波在未来的作用。这项研究将主要由本科生和研究生在我的监督下进行。我们的希望是，所有这些调查将有助于消除更好地预测洪水，冰雹和龙卷风等破坏性天气的主要障碍。