Planning: FIRE-PLAN: Planning the future of the Fire and Smoke Model Evaluation Experiment
Planning: FIRE-PLAN: Planning the future of the Fire and Smoke Model Evaluation Experiment
批准号:
2336226
负责人:
Timothy Brown
金额:
$18.12万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-11-01 至 2025-10-31
中文摘要
火是许多自然系统的重要组成部分,以多种方式响应和影响人类活动。火灾和烟雾模型评估实验(FASMEE)是一项多机构的工作,旨在提供评估和改进火灾和烟雾模型系统所需的观测。将继续利用针对被烧毁的茂密森林和灌木丛环境的大型规定火灾进行实地试验,以产生具有大烟羽的高强度火灾,同时也取得积极的生态结果。为了进行这些实验,需要一个全面的科学研究和数据管理计划。该项目将支持两个科学讲习班,以便为FASMEE未来几年制定最新研究和数据计划。该项目将1)更新研究设计、数据和工作计划,包括纳入最新的模拟发展;2)扩大代表不足的群体对FASMEE所有方面的参与;3)邀请以前没有从事过的相关研究领域的科学家提出假设和问题,参与者可以用协调、跨学科的方法进行调查。以前的多机构研讨会确定了综合观测数据集的必要性,以推动用于预测火灾行为、移动和影响(包括火灾后)以及烟雾化学、移动和影响的各种工具的改进。在这些研讨会之后,与联合火灾科学计划和多个机构协商,建立了FASMEE,目的是通过一个协调的火灾观察库,评估和改进可操作的火灾和烟雾模型、衍生工具和潜在的科学理解。FASMEE被选为2021年美国林业局研究和发展优先项目,并于2022年与美国国家航空航天局建立伙伴关系,以完善火灾科学和管理的亚轨道测量,这推进了实现FASMEE最初设想的影响范围的前景。该项目在这些成功的基础上,通过两个计划举办的讲习班,更新并有可能扩大FASMEE研究计划。第一期讲习班的主要目的是确保FASMEE涵盖的各种活动解决当前对合作机构以及科学界和模型界具有重要意义的问题。研讨会参与者名单将包括代表大学、联邦和州机构以及非政府组织的当前和未来的FASMEE合作研究人员。第二期研讨会将重点介绍数据集集成、交付和归档的体系结构。与会者将包括FASMEE数据管理团队和FASMEE科学学科领导小组的意见。这些研讨会的成果将包括详细的研究和数据计划,将科学地指导实地实验。这一奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Fire is a critical component of many natural systems and responds to and impacts human activities in multiple ways. The Fire and Smoke Model Evaluation Experiment (FASMEE) is a multi-agency effort designed to provide the observations necessary to evaluate and advance fire and smoke modeling systems. Field experiments will continue to be conducted using large prescribed fires targeting thick forest and brush environments burned to produce high-intensity fires with large smoke plumes, while also achieving a positive ecological outcome. To conduct these experiments, a comprehensive scientific study and data management plan is needed. This project will support two scientific workshops to allow the development of up-to-date study and data plans for future years of FASMEE. This project will 1) update the study design, data and work plans, including the incorporation of recent modeling developments; 2) broaden the participation of under-represented groups in all aspects of FASMEE; and 3) invite scientists from allied fields of study not previously engaged to develop hypotheses and questions that participants can investigate with a coordinated, interdisciplinary approach. Prior multi-agency workshops identified the need for integrated observational datasets to drive improvements across the range of tools used to forecast fire behavior, movement, and effects (including post-fire), as well as smoke chemistry, movement, and impacts. Following these workshops, in consultation with the Joint Fire Science Program and multiple agencies, FASMEE was established with the objective of evaluating and advancing operational fire and smoke models, derived tools, and underlying scientific understanding through a coordinated library of fire observations. The selection of FASMEE as a US Forest Service Research and Development Priority Project in 2021, and the development of a partnership with NASA in 2022 to refine suborbital measurements for fire science and management has advanced the prospect for achieving the scope of impacts originally envisioned in FASMEE. This project builds on those successes to update and potentially expand the FASMEE study plan through two planned workshops. The primary purpose of the first workshop is to ensure that the suites of activities encompassed by FASMEE address current questions of importance to cooperating agencies and the science and modeling communities. The workshop participant list will include current and prospective FASMEE cooperating researchers representing universities, federal and state agencies, and non-governmental organizations. The second workshop will be focused on architecture for dataset integration, delivery, and archiving. Participants will include a FASMEE data management team and input from the FASMEE science discipline leadership group. Output from these workshops will include detailed study and data plans that will scientifically guide the field experiments.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.
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