{"title":"逼近风力的不确定性在流经真实植物顶篷时的量化","authors":"Beatrice Giacomini, Marco G. Giometto","doi":"10.1007/s10546-023-00848-4","DOIUrl":null,"url":null,"abstract":"<p>Numerical simulations and in-situ measurements represent two important and synergistic pillars for the study of flow and transport in plant canopies. Due to model limitations and parameter uncertainty, the alignment of model predictions with actual observations is challenging in practice. The present work proposes a Bayesian uncertainty quantification (UQ) framework that estimates the approaching wind angle parameter for large-eddy simulation (LES) of flow in plant canopies by assimilating data from in-situ measurements. The framework is applied to LES of flow within and above realistic plant canopy, with plant area density derived from light detection and ranging measurements. Uncertainty on approaching wind direction is characterized via a Markov chain Monte Carlo procedure, and propagated through Monte Carlo sampling to wind speed and resolved Reynolds stresses. Given the substantial computational cost of LES, a surrogate model based on an exiguous number of LESs is used for flow simulations within the UQ framework. As a result of the analysis, the UQ solution is given by probability density functions of selected flow statistics at different heights. Profiles of mean ± standard deviation for the considered flow statistics exhibit excellent agreement with corresponding observations, proving that the proposed approach is able to calibrate the approaching wind angle parameter, and that the quantified uncertainty captures discrepancies between observations and model results. Overall, the present work highlights the potential of UQ to enhance predictions of exchange processes between vegetation canopy and atmosphere.</p>","PeriodicalId":9153,"journal":{"name":"Boundary-Layer Meteorology","volume":"130 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantification of Approaching Wind Uncertainty in Flow over Realistic Plant Canopies\",\"authors\":\"Beatrice Giacomini, Marco G. Giometto\",\"doi\":\"10.1007/s10546-023-00848-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Numerical simulations and in-situ measurements represent two important and synergistic pillars for the study of flow and transport in plant canopies. Due to model limitations and parameter uncertainty, the alignment of model predictions with actual observations is challenging in practice. 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Overall, the present work highlights the potential of UQ to enhance predictions of exchange processes between vegetation canopy and atmosphere.</p>\",\"PeriodicalId\":9153,\"journal\":{\"name\":\"Boundary-Layer Meteorology\",\"volume\":\"130 1\",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-01-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Boundary-Layer Meteorology\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1007/s10546-023-00848-4\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"METEOROLOGY & ATMOSPHERIC SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Boundary-Layer Meteorology","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s10546-023-00848-4","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
数值模拟和现场测量是研究植物冠层流动和传输的两大重要协同支柱。由于模型的局限性和参数的不确定性,模型预测与实际观测结果的一致性在实践中具有挑战性。本研究提出了一个贝叶斯不确定性量化(UQ)框架,通过吸收现场测量数据,为植物冠层流动的大涡流模拟(LES)估算接近风角参数。该框架适用于现实植物冠层内部和上方的流动 LES,植物面积密度由光探测和测距测量得出。接近风向的不确定性通过马尔可夫链蒙特卡洛程序表征,并通过蒙特卡洛采样传播到风速和解析雷诺应力。鉴于 LES 的计算成本很高,在 UQ 框架内的流动模拟中使用了基于大量 LES 的代理模型。分析结果表明,UQ 解决方案由不同高度的选定流动统计概率密度函数给出。所考虑的流量统计量的平均值 ± 标准偏差曲线与相应的观测结果非常吻合,证明所提出的方法能够校准临近风角参数,而且量化的不确定性能够捕捉观测结果与模型结果之间的差异。总之,本研究突出了 UQ 在增强植被冠层与大气交换过程预测方面的潜力。
Quantification of Approaching Wind Uncertainty in Flow over Realistic Plant Canopies
Numerical simulations and in-situ measurements represent two important and synergistic pillars for the study of flow and transport in plant canopies. Due to model limitations and parameter uncertainty, the alignment of model predictions with actual observations is challenging in practice. The present work proposes a Bayesian uncertainty quantification (UQ) framework that estimates the approaching wind angle parameter for large-eddy simulation (LES) of flow in plant canopies by assimilating data from in-situ measurements. The framework is applied to LES of flow within and above realistic plant canopy, with plant area density derived from light detection and ranging measurements. Uncertainty on approaching wind direction is characterized via a Markov chain Monte Carlo procedure, and propagated through Monte Carlo sampling to wind speed and resolved Reynolds stresses. Given the substantial computational cost of LES, a surrogate model based on an exiguous number of LESs is used for flow simulations within the UQ framework. As a result of the analysis, the UQ solution is given by probability density functions of selected flow statistics at different heights. Profiles of mean ± standard deviation for the considered flow statistics exhibit excellent agreement with corresponding observations, proving that the proposed approach is able to calibrate the approaching wind angle parameter, and that the quantified uncertainty captures discrepancies between observations and model results. Overall, the present work highlights the potential of UQ to enhance predictions of exchange processes between vegetation canopy and atmosphere.
期刊介绍:
Boundary-Layer Meteorology offers several publishing options: Research Letters, Research Articles, and Notes and Comments. The Research Letters section is designed to allow quick dissemination of new scientific findings, with an initial review period of no longer than one month. The Research Articles section offers traditional scientific papers that present results and interpretations based on substantial research studies or critical reviews of ongoing research. The Notes and Comments section comprises occasional notes and comments on specific topics with no requirement for rapid publication. Research Letters are limited in size to five journal pages, including no more than three figures, and cannot contain supplementary online material; Research Articles are generally fifteen to twenty pages in length with no more than fifteen figures; Notes and Comments are limited to ten journal pages and five figures. Authors submitting Research Letters should include within their cover letter an explanation of the need for rapid publication. More information regarding all publication formats can be found in the recent Editorial ‘Introducing Research Letters to Boundary-Layer Meteorology’.