权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

A Spatiotemporal Investigation of Heat Wave Dynamics

热浪动力学的时空研究

基本信息

批准号：
2203235
负责人：
David Keellings
金额：
$ 34.05万
依托单位：
University of Florida
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-10-01 至 2023-05-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2203235&HistoricalAwards=false
关键词：
Spatiotemporal Investigation Heat Wave Dynamics

项目摘要

This project will analyze changes in the spatial and temporal patterns of heat waves and explore relationships between their size and physical variables, such as soil moisture and land cover, with the goal of developing predictive models of heat wave occurrence. Extreme heat is the most common weather-related cause of death. A better understanding of heat wave size, intensity and drivers of these characteristics will enhance public safety by identifying where and under what conditions heat waves are likely to be larger and/or more intense, so that public health interventions such as warnings, education, and staging of cooling/hydration stations, etc. can be planned. Novel integration of methods from climatology and landscape ecology will allow for development of a spatial database of heat waves that can be used to answer questions, such as how climate and land-surface change impacts heat wave size and intensity. Broader impacts of the project include implications for public health, urban planning, and disaster management and preparedness as well as land management and policy. Through workshops with heat-health stakeholders the project will promote dissemination of results and their translation into recommendations for public health and emergency management. The project has education and outreach activities designed to promote the inclusion of underrepresented groups and foster increased minority participation in geography and related STEM fields.This project will address the critical need to improve the spatial and temporal modeling of heat waves. Spatial analysis techniques from the fields of geography, landscape ecology, and climatology will be combined to examine the spatiotemporal evolution of heat waves. Heat waves will be tracked daily using a novel combination of simple geometric concepts, formalized as shape metrics, and a clustering algorithm. Regions within heat waves where conditions are expected to pose a significant risk to human and environmental health will be a key focus. Using statistical models and the concept of critical climate periods these regions will be linked to geophysical variables including atmospheric and land surface variables that influence surface air temperature and humidity. The two main research questions are: (1) what changes can be observed in spatiotemporal characteristics of heat waves, such as size and shape? and (2) what are the relationships among statistical characteristics of heat waves (frequency, magnitude, duration), spatial characteristics of heat waves (size, shape, connectivity), and geophysical variables? The overarching goal of the project is to develop models to predict these heat wave characteristics. This research project will focus on heat waves in the continental United States, with implications for managing heat wave impacts globally.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.

该项目将分析热浪时空格局的变化，探索热浪大小与土壤湿度和土地覆盖等物理变量之间的关系，以建立热浪发生的预测模型。极端高温是最常见的与天气有关的死亡原因。更好地了解热浪的大小、强度和这些特征的驱动因素将通过确定在什么地方和在什么条件下热浪可能更大和/或更强烈来加强公共安全，从而可以计划公共卫生干预措施，如警告、教育和冷却/补水站的分期等。气候学和景观生态学方法的新整合将允许开发热浪空间数据库，该数据库可用于回答诸如气候和陆地表面变化如何影响热浪大小和强度等问题。该项目的更广泛影响包括对公共卫生、城市规划、灾害管理和备灾以及土地管理和政策的影响。通过与热卫生利益攸关方举办讲习班，该项目将促进成果的传播，并将其转化为公共卫生和应急管理方面的建议。该项目开展教育和外展活动，旨在促进代表性不足群体的融入，并促进少数群体更多地参与地理和相关STEM领域。该项目将解决改进热浪时空模拟的迫切需要。将结合地理学、景观生态学和气候学等领域的空间分析技术来研究热浪的时空演变。热浪将使用简单几何概念的新颖组合，形式化为形状度量和聚类算法来跟踪每天的情况。处于热浪中的地区，其条件预计将对人类和环境健康构成重大风险，这将是一个重点。利用统计模型和关键气候期的概念，这些区域将与地球物理变量联系起来，包括影响地面空气温度和湿度的大气和陆地表面变量。研究的两个主要问题是：(1)热浪的大小和形状等时空特征有哪些变化？(2)热浪的统计特征（频率、震级、持续时间）、空间特征（大小、形状、连通性）与地球物理变量之间的关系是什么？该项目的首要目标是开发预测这些热浪特征的模型。该研究项目将重点关注美国大陆的热浪，对全球管理热浪影响具有启示意义。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。