Lidar Sensors and Cyberinfrastructure for Arctic Atmospheric Research

用于北极大气研究的激光雷达传感器和网络基础设施

• 批准号: 0454999
• 负责人: Jeffrey Thayer
• 金额: $ 80.01万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-15 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0454999&HistoricalAwards=false
• 关键词: Lidar; Sensors; Cyberinfrastructure; Arctic; Atmospheric

The investigators will conduct a five-year research program to develop a lidar sensor for the Arctic using state-of-the-art devices and a novel Internet-based data transport system to enable advancements in arctic atmospheric science. In particular, the lidar development will involve sensitive photon-counting detectors including a new infrared photon detector, a unique dual-polarized laser transmitter, and novel timing schemes to make Rayleigh-Mie-Raman (RMR) measurements from 5 to 90 km in altitude. Analysis of the RMR lidar measurements will provide unique vertical profiles of temperature and aerosol backscatter strength, extinction, shape and size from the arctic troposphere through the mesosphere with a vertical resolution of tens of meters and a temporal resolution of tens of minutes. These observations will be applicable to studies of polar stratospheric clouds, aerosols, and the vertical thermal structure of the winter arctic stratosphere. Remote operations will allow more event-driven operations, such as during stratospheric warming events, and, in general, more observing opportunities. The ultimate objective of the data transport system will be to make the lidar system accessible from remote locations and pave the way for the development of fully autonomous lidar systems. This capability would provide greater opportunity for lidar deployments in remote arctic locations with limited infrastructure. The observations will contribute to a distributed network of temperatures and aerosol measurements to support the Network for Detection of Stratospheric Change. The project will involve a graduate student, who will be trained in lidar technologies and stratospheric dynamics, and the data acquired will be rapidly and broadly disseminated for use by other researchers. Not only will the measurements and scientific results contribute to community-wide issues, but they will also be useful for calibration and validation of current and future spacecraft missions designed to observe middle atmosphere temperatures and aerosols.

研究人员将使用最先进的设备和新型的基于Internet的数据运输系统来开发五年的研究计划，以开发北极的激光雷达传感器，以实现北极大气科学的进步。特别是，激光雷达的发育将涉及敏感的光子计数检测器，包括新的红外光子检测器，独特的双极激光发射机和新型的时序方案，以使Rayleigh-Mie-Raman（RMR）测量值在5到90 km的高度。对RMR激光雷达测量值的分析将提供独特的温度和气雾反向散射强度，灭绝，形状和大小，从北极对流层通过中层层，具有数十米的垂直分辨率和数十分钟的时间分辨率。这些观察结果适用于对极地平流层云，气溶胶和冬季北极平流层的垂直热结构的研究。远程操作将允许更多以事件为导向的操作，例如在平流层变暖活动期间，以及通常的观察机会。数据传输系统的最终目标是使LiDAR系统从远程位置访问，并为开发完全自主的LiDAR系统铺平道路。这种能力将为偏远北极地区的LiDAR部署提供更大的机会，具有有限的基础设施。该观察结果将有助于温度和气溶胶测量的分布式网络，以支持检测平流层变化的网络。 该项目将涉及一名研究生，该研究生将接受激光雷达技术和平流层动力学的培训，并且获取的数据将迅速而广泛地传播，以供其他研究人员使用。测量和科学结果不仅会导致社区范围的问题，而且还将有助于校准和验证当前​​和未来的航天器任务，旨在观察中间气氛温度和气溶胶。