CAREER: Advancing Modeling of Wildfire Smoke

职业：推进野火烟雾建模

基本信息

批准号：
2238338
负责人：
Pablo Saide
金额：
$ 89.03万
依托单位：
University of California-Los Angeles
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2023
资助国家：
美国
起止时间：
2023-07-01 至 2028-06-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2238338&HistoricalAwards=false
关键词：
CAREER Advancing Modeling Wildfire Smoke

项目摘要

This project seeks to reduce uncertainties in wildfire smoke modeling in order to enhance our ability to make forecasts of smoke events and improve smoke advisories to the general population. This would not only enhance our understanding of wildfire smoke events, but also reduce harmful pollutant exposures for communities affected by wildfire events and provide new tools for decision makers and the public. Existing observations will be used to update wildfire smoke models, and wildfire smoke forecasters will receive training and share knowledge via regular workshops. Feedback from these end user wildfire smoke forecasters will be incorporated into the research plan to ensure that new knowledge gained during the course of this work will not only advance the field but also reach communities affected by wildfire smoke events. There are three primary tasks included in this proposal. First, satellite and ground-based observations of smoke and smoke-relevant variables will be collected and assessed for their viability of usage within wildfire smoke models. Second, these observations will be used to evaluate and improve smoke simulations via improvements to model parameterizations such as smoke emissions, injection heights, chemical evolution, and optical properties. Finally, training will be conducted to potential end users of the updated wildfire smoke forecasting system with the goal of developing a framework for evaluating and establishing routine or operational smoke forecasting systems. Additionally, this work will provide potential end users with a platform for developing and sharing methods for routine or operational wildfire smoke forecasting systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目旨在减少野火烟雾建模中的不确定性，以增强我们对烟雾事件进行预测并改善一般人群的烟雾咨询的能力。这不仅会增强我们对野火烟雾事件的理解，而且还会减少对受野火事件影响的社区的有害污染物暴露，并为决策者和公众提供新的工具。现有观察结果将用于更新野火烟模型，野火烟雾预报员将通过常规研讨会获得培训和分享知识。这些最终用户野火烟雾预报员的反馈将纳入研究计划中，以确保在这项工作过程中获得的新知识不仅会推进该领域，而且还可以到达受野火烟雾事件影响的社区。该提案中包含三个主要任务。首先，将收集和评估对烟雾和与烟雾相关的变量的卫星和地面观察结果，并评估其在野火烟模型中使用的生存能力。其次，这些观察结果将用于评估和改善烟雾模拟，通过改进模型参数化，例如烟雾排放，注入高度，化学演化和光学特性。最后，将对更新的野火烟雾预测系统的潜在最终用户进行培训，其目标是开发一个框架，以评估和建立常规或操作烟雾预测系统。此外，这项工作将为潜在的最终用户提供一个平台，用于开发和共享常规或操作野火烟雾预测系统的方法。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的评估来进行评估的审查标准。

项目成果

期刊论文数量（2）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Estimating Fire Radiative Power Using Weather Radar Products for Wildfires

使用气象雷达产品估算野火火灾辐射功率

DOI：
10.1029/2023gl104824
发表时间：
2023
期刊：
Geophysical Research Letters
影响因子：
5.2
作者：
Saide, P. E.;Krishna, M.;Ye, X.;Thapa, L. H.;Turney, F.;Howes, C.;Schmidt, C. C.
通讯作者：
Schmidt, C. C.

Sensitivity of Burned Area and Fire Radiative Power Predictions to Containment Efforts, Fuel Density, and Fuel Moisture Using WRF‐Fire

使用 WRF – Fire 预测燃烧区域和火灾辐射功率对遏制工作、燃料密度和燃料水分的敏感性

DOI：
10.1029/2023jd038873
发表时间：
2023
期刊：
Journal of Geophysical Research: Atmospheres
影响因子：
0
作者：
Turney, Francis A.;Saide, Pablo E.;Jimenez Munoz, Pedro A.;Muñoz‐Esparza, Domingo;Hyer, Edward J.;Peterson, David A.;Frediani, Maria E.;Juliano, Timothy W.;DeCastro, Amy L.;Kosović, Branko
通讯作者：
Kosović, Branko