Collaborative Research: EAGER--Novel Sampling and Isotopic Characterization of Upper Strato- to Mesospheric Photochemistry
合作研究:EAGER——上平层至中层光化学的新型采样和同位素表征
基本信息
- 批准号:2204475
- 负责人:
- 金额:$ 3.61万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-04-01 至 2024-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Isotopes in the atmosphere, such as 17O, 18O and others, can be used as tracers to track the movement of the atmosphere and understand the chemical reactions producing them. Obtaining measurements of such isotopes is difficult in the mesosphere which is too high to be reached by balloons. This project will experiment with a novel rocket technology to obtain air samples in the mesosphere and use state of the art mass spectrometers to analyze isotopes in the samples.The team plans to deploy a novel, zero-carbon emission rocket that will enable atmospheric sample collection at 37 km and 70 km altitude in the atmosphere. This will provide proof-of-concept for a clean, inexpensive, and efficient rocket sampler capable of atmospheric exploration well beyond the current altitude limit of conventional balloons (30 km). This rocket technology and platform will facilitate direct sampling of the upper atmosphere, especially the mesosphere on a scale that is currently economically and environmentally infeasible. Four atmospheric samples (2 launches at 37 km, 2 at 70 km) will be isotopically characterized using state of the art mass spectrometers at both UCSD and Harvard. The target atmospheric gasses are O2, CO2 and N2, which have either never been, or are severely under-sampled at these altitudes, limiting our understanding of mesospheric contributions to the stratosphere and troposphere. Isotopic analyses will also extend to the trace oxygen isotope – 17O – and isotopic ‘clumping’ in both O2 and CO2. The measurements will be compared to new laboratory experiments on the CO2-O2-O3 photochemical system, which aim to better constrain the characteristic isotope effects and physical chemistry of Mesosphere/Stratosphere O3 photolysis. This new rocket borne sampling technology is more flexible in terms of altitude targets, cheap relative to other sampling platforms, and environmentally responsible. It will open up new opportunities for sampling the atmosphere, most notably the mesosphere, and enable direct insight into atmospheric photochemistry, specially that related to ozone cycle, and better insight into this chemistry in situ and as it relates to airmasses being delivered to the strato- and troposphereThis 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.
大气中的同位素,如 17O、18O 等,可用作示踪剂来追踪大气的运动并了解产生这些同位素的化学反应,而在中间层测量这些同位素是很困难的,因为中间层太高而无法到达。该项目将尝试一种新颖的火箭技术来获取中间层的空气样本,并使用最先进的质谱仪来分析样本中的同位素。该团队计划部署一个新型零碳排放火箭将能够在大气层 37 公里和 70 公里高度采集大气样本,这将为清洁、廉价且高效的火箭采样器提供概念验证,其能够进行远远超出当前水平的大气探索。该火箭技术和平台将有助于对高层大气进行直接采样,特别是在目前经济和环境上不可行的规模上进行采样。 四个大气样本(2个在37公里处发射,2个在37公里处发射)。 70 公里)将使用加州大学圣地亚哥分校和哈佛大学最先进的质谱仪进行同位素表征,目标大气气体是 O2、CO2 和 N2,这些气体要么从未在这些高度进行过采样,要么严重不足,限制了我们的理解。中层对平流层和对流层的贡献的同位素分析也将扩展到痕量氧同位素 - 17O - 和 O2 中的同位素“聚集”。测量结果将与 CO2-O2-O3 光化学系统的新实验室实验进行比较,旨在更好地限制中间层/平流层 O3 光解的特征同位素效应和物理化学。这种新的火箭运载采样技术更加灵活。就高度目标而言,相对于其他采样平台便宜且对环境负责,它将为大气(尤其是中间层)采样提供新的机会,并能够直接了解大气光化学,特别是与臭氧相关的光化学。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
David Johnston其他文献
How Visual Design of Severe Weather Outlooks Can Affect Communication and Decision-Making
恶劣天气前景的视觉设计如何影响沟通和决策
- DOI:
10.1175/wcas-d-23-0010.1 - 发表时间:
2023-10-01 - 期刊:
- 影响因子:0
- 作者:
Mary Anne T. Clive;Emma E. H. Doyle;S. Potter;Chris Noble;David Johnston - 通讯作者:
David Johnston
Nurturing partnerships to support data access for impact forecasts and warnings: Theoretical integration and synthesis
培育伙伴关系以支持影响预测和预警的数据获取:理论整合和综合
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:5
- 作者:
Sara E. Harrison;S. Potter;R. Prasanna;Emma E. H. Doyle;David Johnston - 通讯作者:
David Johnston
The Analysis of Teaching of Medical Schools (AToMS) survey: an analysis of 47,258 timetabled teaching events in 25 UK medical schools relating to timing, duration, teaching formats, teaching content, and problem-based learning
医学院教学分析 (AToMS) 调查:对 25 所英国医学院的 47,258 个时间表教学活动进行分析,涉及时间、持续时间、教学形式、教学内容和基于问题的学习
- DOI:
10.1186/s12916-020-01571-4 - 发表时间:
2020-05-14 - 期刊:
- 影响因子:9.3
- 作者:
O. Devine;A. Harborne;H. Horsfall;T. Joseph;Tess Marshall;Ryan Samuels;J. Kearsley;Nadine Abbas;H. Baig;J. Beecham;N. Benons;Charlie Caird;R. Clark;T. Cope;J. Coultas;L. Debenham;Sarah Douglas;J. Eldridge;Thomas Hughes;A. Jakubowska;Oliver Jones;E. Lancaster;C. MacMillan;R. McAllister;Wassim Merzougui;Ben Phillips;Simon Phillips;O. Risk;Adam Sage;A. Sooltangos;R. Spencer;R. Tajbakhsh;O. Adesalu;Ivan Aganin;Ammar Ahmed;Katherine Aiken;Alimatu;I. Alam;Aamna Ali;Richard Anderson;J. J. Ang;F. Anis;Sonam Aojula;C. Arthur;A. Ashby;Ahmed Ashraf;E. Aspinall;Mark Awad;A. Yahaya;S. Badhrinarayanan;S. Bandyopadhyay;Sam Barnes;Daisy Bassey;C. Boreham;Rebecca Braine;Joseph Brandreth;Z. Carrington;Zoe Cashin;S. Chatterjee;Mehar Chawla;C. S. Chean;Chris D. Clements;R. Clough;J. Coulthurst;L. Curry;Vinnie Christine Daniels;Simon Davies;Rebecca Davis;Hanelie De Waal;Nasreen Desai;H. Douglas;James Druce;Lady;Meron Esere;Alex Eyre;I. T. Fazmin;Sophia A M Fitzgerald;Verity Ford;S. Freeston;K. Garnett;W. General;H. Gilbert;Zein Gowie;C. Grafton;K. Gudka;L. Gumber;Rishi Gupta;C. Harlow;A. Harrington;A. Heaney;Wing Hang Serene Ho;Lucy Holloway;Christina Hood;E. Houghton;Saba Houshangi;Emma Howard;Benjamin Human;H. Hunter;I. Hussain;S. Hussain;R. T. Jackson;B. Jacob;R. Janjuha;Saleh Jawad;Muzzamil Jelani;David Johnston;Mike Jones;Sadhana Kalidindi;S. Kalsi;A. Kalyanasundaram;Anna Kane;Sahaj Kaur;Othman Khaled Al;Qaisar Khan;Sajan Khullar;P. Kirkland;Hannah Lawrence;Charlotte Leeson;J. Lenaerts;Kerry Long;S. Lubbock;J. Burrell;Rachel Maguire;P. Mahendran;Saad Majeed;P. Malhotra;V. Mandagere;A. Mantelakis;Sophie McGovern;Anjola Mosuro;Adam Moxley;S. Mustoe;S. Myers;K. Nadeem;Reza Nasseri;T. Newman;R. Nzewi;R. Ogborne;J. Omatseye;S. Paddock;J. Parkin;Mohit Patel;Sohini Pawar;Stuart Pearce;Samuel Penrice;Julian Purdy;Raisa Ramjan;R. Randhawa;Usman Rasul;Elliot Raymond;Rebecca Razey;Carmel Razzaghi;E. Reel;E. Revell;J. Rigbye;Oloruntobi Rotimi;Abdelrahman Said;E. Sanders;Pranoy Sangal;Nora Sangvik Grandal;Aadam Shah;Rahul Atul Shah;Oliver Shotton;Daniel Sims;Katy Smart;M. A. Smith;N. Smith;Aninditya Salma Sopian;M. South;J. Speller;Tom J. Syer;N. Ta;D. Tadross;Benjamin Thompson;Jess Trevett;M. Tyler;Roshan Ullah;M. Utukuri;Shree Vadera;Harriet Van Den Tooren;S. Venturini;Aradhya Vijayakumar;Melanie Vine;Z. Wellbelove;Liora Wittner;G. Yong;Farris Ziyada;I. McManus - 通讯作者:
I. McManus
Comparison of machine learning methods emulating process driven crop models
模拟过程驱动作物模型的机器学习方法比较
- DOI:
10.2139/ssrn.4111406 - 发表时间:
2023-01-01 - 期刊:
- 影响因子:0
- 作者:
David Johnston;K. Pembleton;N. Huth;R. Deo - 通讯作者:
R. Deo
Evaluating audio description and emotional engagement for BPS visitors in a museum context
评估博物馆环境中 BPS 参观者的音频描述和情感参与
- DOI:
10.1075/ts.21019.wan - 发表时间:
2022-05-23 - 期刊:
- 影响因子:1.6
- 作者:
Xi Wang;D. Crookes;S. Harding;David Johnston - 通讯作者:
David Johnston
David Johnston的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('David Johnston', 18)}}的其他基金
Clumped Oxygen Isotope Signature of Marine Dissolved Oxygen
海洋溶解氧的聚集氧同位素特征
- 批准号:
2049298 - 财政年份:2021
- 资助金额:
$ 3.61万 - 项目类别:
Standard Grant
Collaborative Research: Common Environmental Drivers Determine the Occupation Chronology of Adélie Penguins and Moss Peatbanks on the Western Antarctic Peninsula
合作研究:共同的环境驱动因素决定了南极半岛西部阿德利企鹅和苔藓泥炭滩的生活年表
- 批准号:
2012365 - 财政年份:2021
- 资助金额:
$ 3.61万 - 项目类别:
Standard Grant
Collaborative Research: Unlocking the Cenozoic/Cretaceous seawater sulfate record via inclusion of 17O in marine barite
合作研究:通过海洋重晶石中的 17O 来解锁新生代/白垩纪海水硫酸盐记录
- 批准号:
1946137 - 财政年份:2020
- 资助金额:
$ 3.61万 - 项目类别:
Standard Grant
Collaborative Research: Development of a novel way for understanding ancient Earth atmospheres and marine sulfate using the stable isotope of Oxygen (17O) in marine barite.
合作研究:利用海洋重晶石中氧(17O)的稳定同位素开发一种了解古代地球大气和海洋硫酸盐的新方法。
- 批准号:
1821958 - 财政年份:2018
- 资助金额:
$ 3.61万 - 项目类别:
Standard Grant
EAGER: Unraveling riverine sulfate using minor oxygen isotopes
EAGER:使用次要氧同位素解开河流硫酸盐
- 批准号:
1839341 - 财政年份:2018
- 资助金额:
$ 3.61万 - 项目类别:
Standard Grant
A marine Unoccupied Aircraft Systems (UAS) facility: Building capacity for high-resolution remote sensing and analysis of marine and coastal ecosystems
海洋无人飞机系统(UAS)设施:建设高分辨率遥感以及海洋和沿海生态系统分析的能力
- 批准号:
1624645 - 财政年份:2016
- 资助金额:
$ 3.61万 - 项目类别:
Standard Grant
Collaborative Research: Experimental calibration of the isotopic content of marine sulfate
合作研究:海洋硫酸盐同位素含量的实验校准
- 批准号:
1536574 - 财政年份:2015
- 资助金额:
$ 3.61万 - 项目类别:
Standard Grant
Collaborative Research: Oxygen, Ecology and the Cambrian radiation of Animals
合作研究:动物的氧气、生态和寒武纪辐射
- 批准号:
1325128 - 财政年份:2013
- 资助金额:
$ 3.61万 - 项目类别:
Continuing Grant
Directly quantifying the isotopic fractionation associated with the key enzymes in microbial sulfate reduction
直接量化与微生物硫酸盐还原中关键酶相关的同位素分级分离
- 批准号:
1225980 - 财政年份:2012
- 资助金额:
$ 3.61万 - 项目类别:
Standard Grant
CAREER: Quantifying the flux and isotope effects associated with sulfur-bearing intermediate species within dissimilatory sulfate reduction
职业:量化与异化硫酸盐还原中含硫中间物质相关的通量和同位素效应
- 批准号:
1149555 - 财政年份:2012
- 资助金额:
$ 3.61万 - 项目类别:
Continuing Grant
相似国自然基金
基于肿瘤病理图片的靶向药物敏感生物标志物识别及统计算法的研究
- 批准号:82304250
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
肠道普拉梭菌代谢物丁酸抑制心室肌铁死亡改善老龄性心功能不全的机制研究
- 批准号:82300430
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
社会网络关系对公司现金持有决策影响——基于共御风险的作用机制研究
- 批准号:72302067
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
面向图像目标检测的新型弱监督学习方法研究
- 批准号:62371157
- 批准年份:2023
- 资助金额:50 万元
- 项目类别:面上项目
面向开放域对话系统信息获取的准确性研究
- 批准号:62376067
- 批准年份:2023
- 资助金额:51 万元
- 项目类别:面上项目
相似海外基金
Collaborative Research: EAGER: Designing Nanomaterials to Reveal the Mechanism of Single Nanoparticle Photoemission Intermittency
合作研究:EAGER:设计纳米材料揭示单纳米粒子光电发射间歇性机制
- 批准号:
2345582 - 财政年份:2024
- 资助金额:
$ 3.61万 - 项目类别:
Standard Grant
EAGER/Collaborative Research: An LLM-Powered Framework for G-Code Comprehension and Retrieval
EAGER/协作研究:LLM 支持的 G 代码理解和检索框架
- 批准号:
2347623 - 财政年份:2024
- 资助金额:
$ 3.61万 - 项目类别:
Standard Grant
EAGER/Collaborative Research: An LLM-Powered Framework for G-Code Comprehension and Retrieval
EAGER/协作研究:LLM 支持的 G 代码理解和检索框架
- 批准号:
2347624 - 财政年份:2024
- 资助金额:
$ 3.61万 - 项目类别:
Standard Grant
Collaborative Research: EAGER: IMPRESS-U: Groundwater Resilience Assessment through iNtegrated Data Exploration for Ukraine (GRANDE-U)
合作研究:EAGER:IMPRESS-U:通过乌克兰综合数据探索进行地下水恢复力评估 (GRANDE-U)
- 批准号:
2409395 - 财政年份:2024
- 资助金额:
$ 3.61万 - 项目类别:
Standard Grant
Collaborative Research: EAGER: The next crisis for coral reefs is how to study vanishing coral species; AUVs equipped with AI may be the only tool for the job
合作研究:EAGER:珊瑚礁的下一个危机是如何研究正在消失的珊瑚物种;
- 批准号:
2333604 - 财政年份:2024
- 资助金额:
$ 3.61万 - 项目类别:
Standard Grant