Nowcasting weather with coupled fluid dynamics and machine learning
通过耦合流体动力学和机器学习预测临近天气
基本信息
- 批准号:2749992
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:英国
- 项目类别:Studentship
- 财政年份:2022
- 资助国家:英国
- 起止时间:2022 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
"Nowcasting" provides weather forecasting central to issuing alerts and warnings of high-impact weather on timescales typically shorter than 6 hours. On these timescales numerical weather prediction (NWP) models cannot be utilised due to their slow runtime, and therefore forecasters generally rely on directly interpreting observations to make predictions about the evolution of weather conditions. By utilising recent advances in machine learning this challenge presents an opportunity to learn directly from data the near-time evolution of weather and through this gain new insights into atmospheric processes of storm formation. Accurate nowcasting tools are extremely useful in providing warning of imminent flash flood events, potentially providing a few hours' notice in which to take action to prevent risk to life or property.The aim of the project is to provide precipitation nowcasting using real-time remote sensing observations (ground-based radar and satellite) to predict precipitation for the next hours. Satellite observations have the advantage of near global coverage, particularly valuable in data sparse parts of the world such as Africa, while ground based radar offer higher spatial and temporal resolution observations. The student will develop a novel approach to nowcasting by coupling a deep learning model and a simple 2D fluid dynamics model, placing the research within the realms of emerging field of physics-informed neural networks. A precipitation nowcasting system must predict both the movement and evolution of a storm. Current machine learning approaches to nowcasting tend to use neural network as a black box and learn both the processes together, but this can often lead to solutions which are unrealistically smeared out. In practice we already have considerable physical insight into the motion of storms and physics-informed neural networks provide an exciting new approach to integrating this prior knowledge to improve predictions. By utilising a 2D fluid dynamics model to take care of the horizontal advection of storms, the neural network is tasked with only predicting the formation and evolution of storms. Based on existing research it is hypothesised that utilising a separate advection model will alleviate the numerical diffusion (smearing) seen in contemporary neural network-only approaches to nowcasting. The decoupling of transport and evolution will also allow for the introduction of physics-based constraints on the neural network solution, for example constraining the horizontal wind field to be approximately divergence free.
“临近预报”提供天气预报,以在通常短于 6 小时的时间尺度上发布高影响天气警报和警告。在这些时间尺度上,数值天气预报(NWP)模型由于运行时间慢而无法使用,因此预报员通常依靠直接解释观测来预测天气状况的演变。通过利用机器学习的最新进展,这一挑战提供了一个机会,可以直接从数据中学习天气的近期演变,并通过此获得对风暴形成的大气过程的新见解。准确的临近预报工具对于提供即将发生的山洪暴发事件的预警非常有用,可能会提前几个小时发出通知,以便采取行动,防止生命或财产面临风险。该项目的目的是利用实时遥感观测(地面雷达和卫星)提供降水临近预报,以预测未来几个小时的降水量。卫星观测具有接近全球覆盖的优势,对于非洲等世界数据稀疏的地区尤其有价值,而地面雷达则提供更高的空间和时间分辨率观测。学生将通过结合深度学习模型和简单的二维流体动力学模型来开发一种新颖的临近预报方法,将研究置于物理信息神经网络的新兴领域领域。降水临近预报系统必须预测风暴的运动和演变。当前的临近预报机器学习方法倾向于使用神经网络作为黑匣子并一起学习这两个过程,但这通常会导致解决方案被不切实际地抹掉。在实践中,我们已经对风暴的运动有了相当多的物理洞察力,并且基于物理的神经网络提供了一种令人兴奋的新方法来整合这些先验知识以改进预测。通过利用二维流体动力学模型来处理风暴的水平平流,神经网络的任务只是预测风暴的形成和演变。根据现有研究,假设利用单独的平流模型将减轻当代仅使用神经网络的临近预报方法中出现的数值扩散(拖尾)现象。传输和进化的解耦还将允许在神经网络解决方案上引入基于物理的约束,例如约束水平风场近似无散度。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
其他文献
吉治仁志 他: "トランスジェニックマウスによるTIMP-1の線維化促進機序"最新医学. 55. 1781-1787 (2000)
Hitoshi Yoshiji 等:“转基因小鼠中 TIMP-1 的促纤维化机制”现代医学 55. 1781-1787 (2000)。
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
LiDAR Implementations for Autonomous Vehicle Applications
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
吉治仁志 他: "イラスト医学&サイエンスシリーズ血管の分子医学"羊土社(渋谷正史編). 125 (2000)
Hitoshi Yoshiji 等人:“血管医学与科学系列分子医学图解”Yodosha(涉谷正志编辑)125(2000)。
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
Effect of manidipine hydrochloride,a calcium antagonist,on isoproterenol-induced left ventricular hypertrophy: "Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,K.,Teragaki,M.,Iwao,H.and Yoshikawa,J." Jpn Circ J. 62(1). 47-52 (1998)
钙拮抗剂盐酸马尼地平对异丙肾上腺素引起的左心室肥厚的影响:“Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('', 18)}}的其他基金
An implantable biosensor microsystem for real-time measurement of circulating biomarkers
用于实时测量循环生物标志物的植入式生物传感器微系统
- 批准号:
2901954 - 财政年份:2028
- 资助金额:
-- - 项目类别:
Studentship
Exploiting the polysaccharide breakdown capacity of the human gut microbiome to develop environmentally sustainable dishwashing solutions
利用人类肠道微生物群的多糖分解能力来开发环境可持续的洗碗解决方案
- 批准号:
2896097 - 财政年份:2027
- 资助金额:
-- - 项目类别:
Studentship
A Robot that Swims Through Granular Materials
可以在颗粒材料中游动的机器人
- 批准号:
2780268 - 财政年份:2027
- 资助金额:
-- - 项目类别:
Studentship
Likelihood and impact of severe space weather events on the resilience of nuclear power and safeguards monitoring.
严重空间天气事件对核电和保障监督的恢复力的可能性和影响。
- 批准号:
2908918 - 财政年份:2027
- 资助金额:
-- - 项目类别:
Studentship
Proton, alpha and gamma irradiation assisted stress corrosion cracking: understanding the fuel-stainless steel interface
质子、α 和 γ 辐照辅助应力腐蚀开裂:了解燃料-不锈钢界面
- 批准号:
2908693 - 财政年份:2027
- 资助金额:
-- - 项目类别:
Studentship
Field Assisted Sintering of Nuclear Fuel Simulants
核燃料模拟物的现场辅助烧结
- 批准号:
2908917 - 财政年份:2027
- 资助金额:
-- - 项目类别:
Studentship
Assessment of new fatigue capable titanium alloys for aerospace applications
评估用于航空航天应用的新型抗疲劳钛合金
- 批准号:
2879438 - 财政年份:2027
- 资助金额:
-- - 项目类别:
Studentship
Developing a 3D printed skin model using a Dextran - Collagen hydrogel to analyse the cellular and epigenetic effects of interleukin-17 inhibitors in
使用右旋糖酐-胶原蛋白水凝胶开发 3D 打印皮肤模型,以分析白细胞介素 17 抑制剂的细胞和表观遗传效应
- 批准号:
2890513 - 财政年份:2027
- 资助金额:
-- - 项目类别:
Studentship
Understanding the interplay between the gut microbiome, behavior and urbanisation in wild birds
了解野生鸟类肠道微生物组、行为和城市化之间的相互作用
- 批准号:
2876993 - 财政年份:2027
- 资助金额:
-- - 项目类别:
Studentship
相似海外基金
Novel use of mobile phone big data to evaluate the effect of climatic and non-climatic shocks on human mobility and women's health outcomes in sub-Saharan Africa
新颖地利用手机大数据来评估气候和非气候冲击对撒哈拉以南非洲地区人口流动和妇女健康结果的影响
- 批准号:
10722580 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Epigenetic aging, social factors, and preterm birth among Black women
黑人女性的表观遗传衰老、社会因素和早产
- 批准号:
10605694 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Characterizing Older Mexican (American) Participation in Activity Digitally, Reliably, and Ecologically with the CART Platform (COMPADRE CART): Implications for Cognition and ADRD
使用 CART 平台 (COMPADRE CART) 以数字化、可靠且生态的方式描述墨西哥(美国人)老年人对活动的参与:对认知和 ADRD 的影响
- 批准号:
10447342 - 财政年份:2022
- 资助金额:
-- - 项目类别:
Coupled Flow and Transport Modeling and Simulation of Complex Fluids and Extreme Weather Patterns by Harnessing Data
利用数据对复杂流体和极端天气模式进行耦合流动和传输建模及模拟
- 批准号:
2208499 - 财政年份:2022
- 资助金额:
-- - 项目类别:
Standard Grant
Comprehensive tools and models for addressing exposure to mixtures during environmental emergency-related contamination events
用于解决环境紧急事件相关污染事件期间混合物暴露问题的综合工具和模型
- 批准号:
10349750 - 财政年份:2022
- 资助金额:
-- - 项目类别:
Characterizing Older Mexican (American) Participation in Activity Digitally, Reliably, and Ecologically with the CART Platform (COMPADRE CART): Implications for Cognition and ADRD
使用 CART 平台 (COMPADRE CART) 以数字化、可靠且生态的方式描述墨西哥(美国人)老年人对活动的参与:对认知和 ADRD 的影响
- 批准号:
10630182 - 财政年份:2022
- 资助金额:
-- - 项目类别:
Comprehensive tools and models for addressing exposure to mixtures during environmental emergency-related contamination events
用于解决环境紧急事件相关污染事件期间混合物暴露问题的综合工具和模型
- 批准号:
10707432 - 财政年份:2022
- 资助金额:
-- - 项目类别:
Coupled Model Inter-comparison Project Phase-5 Weather Research and Forecasting (CMIP5-WRF) Simulations Quantifying Anthropogenic Forcing and Saharan Long-range Dust Transport
耦合模型相互比较项目第五阶段天气研究和预报 (CMIP5-WRF) 模拟量化人为强迫和撒哈拉远距离沙尘输送
- 批准号:
2129594 - 财政年份:2021
- 资助金额:
-- - 项目类别:
Standard Grant
Climate Penalty: Climate-driven Increases in Ozone and PM2.5 Levels and Mortality
气候惩罚:气候驱动的臭氧和 PM2.5 水平和死亡率增加
- 批准号:
10218738 - 财政年份:2021
- 资助金额:
-- - 项目类别:
Climate Penalty: Climate-driven Increases in Ozone and PM2.5 Levels and Mortality
气候惩罚:气候驱动的臭氧和 PM2.5 水平和死亡率增加
- 批准号:
10372176 - 财政年份:2021
- 资助金额:
-- - 项目类别: