SI2-SSI: Lidar Radar Open Software Environment (LROSE)
SI2-SSI:激光雷达开放软件环境(LROSE)
基本信息
- 批准号:1550597
- 负责人:
- 金额:$ 250万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-08-01 至 2016-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Modern radars and lidars are a diverse class of instruments, capable of detecting molecules, aerosols, birds, bats and insects, winds, moisture, clouds, and precipitation. Scientists and engineers use them to perform research into air quality and pollution, dangerous biological plumes, cloud physics, cloud extent, climate models, numerical weather prediction, road weather, aviation safety, severe convective storms, tornadoes, hurricanes, floods, and movement patterns of birds, bats and insects. Radars and lidars are critical for protecting society from high impact weather and understanding the atmosphere and biosphere, but they are complex instruments that produce copious quantities of data that pose many challenges for researchers, students, and instrument developers. This project will develop a new set of tools called the Lidar Radar Open Software Environment (LROSE) to meet these challenges and help address the 'big data' problem faced by users in the research and education communities. This project will open new avenues of scientific investigation, including data assimilation to improve weather forecasts, and help to maximize returns on NSF investments in weather and climate research by providing better software tools to researchers, students, and educators. Improving the effectiveness of NSF research will provide significant scientific and societal benefits through an improved understanding of many diverse scientific topics that are relevant to public safety, national defense, and the global economy.The LROSE project will develop a 'Virtual Toolbox' with a set of software tools needed for a diverse set of scientific applications. LROSE will be packaged so that it can be run on a virtual machine (VM), either locally or in the cloud, and stocked with core algorithm modules for those typical processing steps that are well understood and documented in the peer-reviewed literature. LROSE will enable the user community to use the core toolset to develop new research modules that address the specific needs of the latest scientific research. Through the VM Toolbox and a core software framework, other developers of open-source radar software can then provide their own compatible software tools to the set. By combining the open source approach with recent developments in virtual machines and cloud computing, we will develop a system that is both highly capable and easy to run on virtually any hardware, without the complexity of a compilation environment. The LROSE project will build on existing prototypes and available software elements, while facilitating community development of new techniques and algorithms to distribute a suite of documented software modules for performing radar and lidar analysis. These modules will each implement accredited scientific methods referencing published papers. The infrastructure and modules will allow researchers to run standard procedures, thereby improving the efficiency and reproducibility of the analyses, and encourage researchers to jointly develop new scientific approaches for data analysis. The use of collaborative open source methods will lead to a suite of available algorithmic modules that will allow scientists to explore radar and lidar data in new, innovative ways. Researchers will benefit from the improved toolset for advancing understanding of weather and climate, leading to a positive outcome in the advancement of scientific knowledge and societal benefits.
现代雷达和激光雷达是一类不同的仪器,能够检测分子、气溶胶、鸟类、蝙蝠和昆虫、风、水分、云和降水。科学家和工程师使用它们来研究空气质量和污染,危险的生物羽流,云物理学,云的范围,气候模型,数值天气预报,道路天气,航空安全,强对流风暴,龙卷风,飓风,洪水以及鸟类,蝙蝠和昆虫的运动模式。雷达和激光雷达对于保护社会免受高影响天气以及了解大气和生物圈至关重要,但它们是产生大量数据的复杂仪器,为研究人员,学生和仪器开发人员带来了许多挑战。该项目将开发一套称为激光雷达开放软件环境(LROSE)的新工具,以应对这些挑战,并帮助解决研究和教育界用户面临的“大数据”问题。该项目将开辟科学研究的新途径,包括数据同化以改善天气预报,并通过为研究人员,学生和教育工作者提供更好的软件工具,帮助NSF在天气和气候研究方面的投资回报最大化。提高NSF研究的有效性将通过提高对与公共安全、国防和全球经济相关的许多不同科学主题的理解来提供显着的科学和社会效益。LROSE项目将开发一个“虚拟环境”,其中包含一套科学应用所需的软件工具。LROSE将被打包,以便它可以在本地或云中的虚拟机(VM)上运行,并为那些在同行评审文献中得到充分理解和记录的典型处理步骤储备核心算法模块。LROSE将使用户社区能够使用核心工具集开发新的研究模块,以满足最新科学研究的特定需求。通过虚拟机和核心软件框架,其他开源雷达软件的开发人员可以提供自己的兼容软件工具。通过将开源方法与虚拟机和云计算的最新发展相结合,我们将开发一个功能强大且易于在几乎任何硬件上运行的系统,而无需编译环境的复杂性。LROSE项目将建立在现有原型和可用软件元素的基础上,同时促进社区开发新技术和算法,以分发一套用于执行雷达和激光雷达分析的文档化软件模块。这些模块将分别采用经认可的科学方法,并参考已发表的论文。基础设施和模块将使研究人员能够运行标准程序,从而提高分析的效率和可重复性,并鼓励研究人员共同开发新的数据分析科学方法。使用协作开源方法将产生一套可用的算法模块,使科学家能够以新的创新方式探索雷达和激光雷达数据。研究人员将受益于改进的工具集,以促进对天气和气候的理解,从而在科学知识和社会效益的进步方面取得积极成果。
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)
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Michael Bell其他文献
Comparison of natural abundance and enriched 15N methods to quantify nitrogen fertilizer recovery in maize under field conditions
- DOI:
10.1007/s11104-024-07088-6 - 发表时间:
2024-11-26 - 期刊:
- 影响因子:4.100
- 作者:
Sarita Manandhar;Cristina Martinez;Neal W. Menzies;Ram C. Dalal;Michael Bell - 通讯作者:
Michael Bell
S14-03 From trait to base pairs: Parallel evolution of pelvic reduction in three-spined sticklebacks occurs by repeated deletion of a tissue-specific pelvic enhancer at Pitx1
- DOI:
10.1016/j.mod.2009.06.980 - 发表时间:
2009-08-01 - 期刊:
- 影响因子:
- 作者:
Yingguang Frank Chan;Guadalupe Villarreal;Melissa Marks;Michael Shapiro;Felicity Jones;Dmitri Petrov;Mark Dickson;Audrey Southwick;Devin Absher;Jane Grimwood;Jeremy Schmutz;Richard Myers;Bjarni Jónsson;Dolph Schluter;Michael Bell;David Kingsley - 通讯作者:
David Kingsley
An approximate analytical approach to estimate the diffusivity of toxic chemicals in polymer barrier materials from the time evolution of sessile drop profiles
- DOI:
10.1007/s00289-018-2382-2 - 发表时间:
2018-05-31 - 期刊:
- 影响因子:4.000
- 作者:
Molly N. Richards;Michael Bell;Rajagopalan Srinivasan;Ali Borhan;Ramanathan Nagarajan - 通讯作者:
Ramanathan Nagarajan
Combining precipitation forecasts and vegetation health to predict fire risk at subseasonal timescale in the Amazon
结合降水预报和植被健康状况来预测亚马逊次季节时间尺度的火灾风险
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:6.7
- 作者:
Kátia Fernandes;Michael Bell;Á. Muñoz - 通讯作者:
Á. Muñoz
Shaping a Strengths-Based Approach to Relational Leadership
塑造基于优势的关系领导方法
- DOI:
10.4018/978-1-4666-7495-0.ch011 - 发表时间:
2015 - 期刊:
- 影响因子:4.5
- 作者:
Michael Bell;C. Palmer - 通讯作者:
C. Palmer
Michael Bell的其他文献
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{{ truncateString('Michael Bell', 18)}}的其他基金
Collaborative Research: AGS-FIRP Track 2--Process Investigation of Clouds and Convective Organization over the atLantic Ocean (PICCOLO)
合作研究:AGS-FIRP Track 2——大西洋上空云和对流组织的过程调查(PICCOLO)
- 批准号:
2331202 - 财政年份:2024
- 资助金额:
$ 250万 - 项目类别:
Continuing Grant
AGS-CIF: A Sea-Going and Land Deployable Polarimetric (SEA-POL) Radar for the Science Community
AGS-CIF:面向科学界的海陆可部署偏振 (SEA-POL) 雷达
- 批准号:
2113042 - 财政年份:2021
- 资助金额:
$ 250万 - 项目类别:
Continuing Grant
Collaborative Research: Dynamics, Thermodynamics, and Microphysics of Extreme Rainfall Observed during PRECIP (Prediction of Rainfall Extremes Campaign In the Pacific)
合作研究:PRECIP(太平洋极端降雨预测活动)期间观测到的极端降雨的动力学、热力学和微观物理学
- 批准号:
1854559 - 财政年份:2019
- 资助金额:
$ 250万 - 项目类别:
Continuing Grant
Preparation of Research Collections to Deposit in Museums
准备存放在博物馆的研究藏品
- 批准号:
1745393 - 财政年份:2017
- 资助金额:
$ 250万 - 项目类别:
Standard Grant
SI2-SSI: Lidar Radar Open Software Environment (LROSE)
SI2-SSI:激光雷达开放软件环境(LROSE)
- 批准号:
1661663 - 财政年份:2016
- 资助金额:
$ 250万 - 项目类别:
Standard Grant
CAREER: Impacts of Convective and Stratiform Processes on Tropical Cyclone Intensity Change
职业:对流和层状过程对热带气旋强度变化的影响
- 批准号:
1701225 - 财政年份:2016
- 资助金额:
$ 250万 - 项目类别:
Continuing Grant
CAREER: Impacts of Convective and Stratiform Processes on Tropical Cyclone Intensity Change
职业:对流和层状过程对热带气旋强度变化的影响
- 批准号:
1349881 - 财政年份:2014
- 资助金额:
$ 250万 - 项目类别:
Continuing Grant
Doctoral Dissertation Research: A Club Apple Society: What this New Economic Organization Says About The Biology of Markets
博士论文研究:苹果俱乐部协会:这个新经济组织对市场生物学的看法
- 批准号:
1230494 - 财政年份:2012
- 资助金额:
$ 250万 - 项目类别:
Standard Grant
Doctoral Dissertation Research: Transnational Migration and Health Access
博士论文研究:跨国移民与健康获取
- 批准号:
1103236 - 财政年份:2011
- 资助金额:
$ 250万 - 项目类别:
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Long-term Research in Environmental Biology (LTREB): Rapid evolution of a Threespine Stickleback Population
环境生物学长期研究(LTREB):三刺刺鱼种群的快速进化
- 批准号:
0919184 - 财政年份:2010
- 资助金额:
$ 250万 - 项目类别:
Standard Grant
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