Collaborative Research: Targeted Observation by Radars and UAS (Unmanned Aircraft Systems) of Supercells (TORUS)
Collaborative Research: Targeted Observation by Radars and UAS (Unmanned Aircraft Systems) of Supercells (TORUS)
批准号:
1824649
负责人:
Adam Houston
金额:
$72.59万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-01 至 2023-02-28
中文摘要
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英文摘要
Storm-generated boundaries are the focal point for tornadogenesis. As such, a more complete understanding of boundary and gust front structure in supercells is required to advance understanding of the processes responsible for supporting or obstructing the concentration of near-surface rotation. Targeted Observation by Radars and UAS of Supercells (TORUS) aims to improve the conceptual model of supercells by explicating the relationship of storm-generated boundaries and coherent structures within storm outflow to the generation/amplification of near-surface rotation. New insight will be enabled through coordinated and tightly-focused deployments of new and established remote-sensing and in-situ instruments tasked to collect thermodynamic and kinematic observations both aloft and at the surface.Intellectual Merit:Hypothesized mechanisms for tornadogenesis move beyond a focus on just the canonical rear-flank and forward-flank gust fronts and also address the role of boundaries and coherent structures recently revealed in observational and numerical analyses of supercell tornadoes. Accurate identification of these roles will advance the frontiers of knowledge and transform the conceptual model of supercells. Overarching objectives are to 1) expose the 4D character of these boundaries and coherent structures, 2) relate the 4D character of these boundaries and coherent structures to the thermodynamics and kinematics of supercell outflow, 3) associate boundary and coherent structure characteristics to ensuing contraction or failed contraction of near-surface vertical vorticity beneath low-level mesocyclones, and 4) and relate these characteristics to the ambient conditions within which storms reside. The TORUS field campaign will be executed across 42 days of deployments spanning two spring seasons (May-June 2019 and 2020) over an operations domain covering ~1,300,000 km2 of the central US. Observing platforms involved in TORUS include four unmanned aircraft systems, two mobile Ka-band radars, seven mobile mesonets, one mobile X-band radar, and one mobile sounding systems. Assets will be deployed to focus data collection in different parts of storms.Broader Impacts:TORUS will promote teaching, training, and learning by involving ~40 students in the project's field deployments. At least three graduate students will use the data collected during the TORUS field deployments for their thesis research. Undergraduate students will also have opportunities to use TORUS data for mentored research projects. TORUS data will be integrated into undergraduate and graduate courses taught by the PIs. TORUS research will also provide students the opportunity to attend and present at national conferences in atmospheric science and aerospace engineering. TORUS will enhance infrastructure for research and education by codifying collaborations between the University of Nebraska-Lincoln, Texas Tech University, the National Severe Storms Laboratory, and the University of Colorado-Boulder and by supporting the refinement of cutting-edge instrumentation. Results from TORUS will be broadly disseminated in an effort to enhance scientific and technological understanding. This will include publication in peer-reviewed journals, presentations to local and regional groups (e.g., K-12 schools, museums, etc.), and seminars at participating institutions and elsewhere. Direct interaction with the operational forecasting community will also be sought (e.g., via local National Weather Service Forecast Offices) so that these results can be expediently and effectively disseminated to operational forecasters.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.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Diagnosing Supercell Environments: A Machine Learning Approach
诊断 Supercell 环境:机器学习方法
DOI:
10.1175/waf-d-21-0098.1
发表时间:
2022
期刊:
Weather and Forecasting
影响因子:
2.9
作者:
[Shield, Stephen A., Houston, Adam L.]
通讯作者:
Houston, Adam L.
Collaborative Research: Supercell Left Flank Boundaries and Coherent Structures--Targeted Observations by Radars and UAS of Supercells Left-flank-Intensive Experiment (TORUS-LItE)
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批准号:2312994
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项目类别:Standard Grant
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资助金额:$38.51万
-
财政年份:2023
-
负责人:Adam Houston
-
依托单位:
AGS-FIRP Track 1: The 2023 University of Nebraska DOW (Doppler on Wheels) Education and Outreach (UNDEO-2023) Project
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批准号:2239189
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项目类别:Standard Grant
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资助金额:$5.0万
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财政年份:2023
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负责人:Adam Houston
-
依托单位:
Collaborative Research: NRI: Dispersed Autonomy for Marsupial Aerial Robot Teams
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批准号:2133142
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项目类别:Standard Grant
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资助金额:$45.46万
-
财政年份:2022
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负责人:Adam Houston
-
依托单位:
Collaborative Research: Mesoscale Airmasses with High Theta-E (MAHTE)
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批准号:2113341
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项目类别:Standard Grant
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资助金额:$24.88万
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财政年份:2021
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负责人:Adam Houston
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依托单位:
NRI: Collaborative Research: Targeted Observation of Severe Local Storms Using Aerial Robots
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批准号:1527113
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项目类别:Standard Grant
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资助金额:$42.57万
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财政年份:2016
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负责人:Adam Houston
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依托单位:
Collaborative Research: RAPID--Integration of Unmanned Aircraft System (UAS) into the Program for Research on Elevated Convection with Intense Precipitation
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批准号:1542760
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项目类别:Standard Grant
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资助金额:$12.94万
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财政年份:2015
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负责人:Adam Houston
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依托单位:
Development of Unmanned Aircraft System and Its Use in Investigating the Impact of Pre-Existing Airmass Boundaries on Supercell Rotation
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批准号:0800763
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项目类别:Standard Grant
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资助金额:$0.0万
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财政年份:2009
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负责人:Adam Houston
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依托单位:
Criticality: A Theory for Understanding and Forecasting Deep Convective Initiation
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批准号:0757189
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项目类别:Standard Grant
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资助金额:$18.91万
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财政年份:2008
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负责人:Adam Houston
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依托单位:
Collaborative Research: SGER--Unmanned Aircraft System for In-Situ Sensing Along Atmospheric Airmass Boundaries
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批准号:0715875
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项目类别:Standard Grant
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资助金额:$0.0万
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财政年份:2007
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负责人:Adam Houston
-
依托单位:
国内基金
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