CAREER: Developing New Airborne Cloud, Aerosol and Water Vapor Observation Capabilities by Synergizing Remote Sensors and in Situ Probes on the University of Wyoming King Air

职业:通过协同怀俄明大学国王航空的远程传感器和原位探测器开发新的机载云、气溶胶和水蒸气观测能力

基本信息

  • 批准号:
    0645644
  • 负责人:
  • 金额:
    $ 58.72万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2007
  • 资助国家:
    美国
  • 起止时间:
    2007-05-01 至 2013-04-30
  • 项目状态:
    已结题

项目摘要

The research goal of this project is to advance the capabilities of the University of Wyoming (UW) King Air research aircraft for cloud, aerosol, and water vapor observations through the development of two new airborne lidar systems. The instrument development is coupled with development of some retrieval algorithms that combine multiple remote sensor measurements and others that combine remotely sensed and in situ measurements. Project objectives are to develop:1) a compact airborne elastic lidar to be used onboard the UW King Air alongside the Wyoming cloud radar, a 183 GHz radiometer, and in situ cloud and precipitation probes for studying cloud processes and properties;2) retrieval algorithms to provide cloud microphysical properties in ice-, mixed-phase, and warm clouds including: ice water content, ice particle effective radius, liquid water path, water droplet effective radius, and drizzle size;3) a compact airborne Raman lidar system and associated data processing/analysis software to measure aerosol backscattering and extinction coefficients and to derive water vapor mixing ratio profiles in the boundary layer; and to conduct4) exploratory experiments to test and refine the two lidars plus the microwave radiometer, and to collect data for algorithm development and validation; 5) studies of the evolution of mid-level, mixed-phase clouds using these new observational capabilities.The main intellectual merit of this project is development of an advanced airborne observation instrumentation suite and associated data processing algorithms that will be capable of providing better observations to study the aerosol direct and indirect effects, cloud microphysical processes, and land-atmosphere and air-sea interactions.Broader impacts of this work include:1) Enhancing the capabilities of the UW King Air research aircraft as a combined in situ/ remote sensing platform. Following the development and demonstration of these capabilities, they will become available to the atmospheric research community as part of the UW King Air national facility (A NSF-supported, lower-atmosphere observing facility).2) Use of the new observational capabilities to help improve our of understanding of clouds, aerosols, and boundary layer processes, which are needed to confidently predict human impacts on climate.3) Training the next generation of researchers to use observations to address current science questions.4) Strengthening the atmospheric observation curricula and teaching at UW.
该项目的研究目标是通过开发两个新的机载激光雷达系统来提高怀俄明大学国王航空研究飞机的云、气溶胶和水蒸气观测能力。在开发仪器的同时,还开发了一些结合多个遥感测量的检索算法,以及一些结合遥感和现场测量的检索算法。项目目标是:1)一个紧凑的机载弹性激光雷达,与怀俄明州的云雷达一起用于UW King Air,183 GHz辐射计,以及现场云和降水探测器,用于研究云的过程和特性;2)提供冰云、混合云和暖云的云微物理特性的反演算法,包括:冰水含量、冰粒有效半径、液态水路径、水滴有效半径和毛毛雨大小;3)紧凑的机载拉曼激光雷达系统和相关的数据处理/分析软件,以测量气溶胶后向散射和消光系数,并得出边界层中的水汽混合比剖面;并进行探索性实验,以测试和改进两个激光雷达和微波辐射计,并为算法开发和验证收集数据;5)利用这些新的观测能力研究中层混合相云的演变。该项目的主要智力优势是开发了先进的机载观测仪器套件和相关的数据处理算法,能够提供更好的观测,以研究气溶胶的直接和间接影响、云微物理过程、陆地-大气和海陆相互作用。这项工作的广泛影响包括:1)增强了UW King Air研究机作为现场/遥感联合平台的能力。在开发和展示这些能力之后,它们将作为华盛顿大学国王航空国家设施(由国家科学基金会资助的低层大气观测设施)的一部分提供给大气层研究界。2)利用新的观测能力帮助提高我们对云、气溶胶和边界层过程的认识,这是自信地预测人类对气候影响所必需的。3)培训下一代研究人员利用观测来解决当前的科学问题。4)加强密歇根大学的大气观测课程和教学。

项目成果

期刊论文数量(0)
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会议论文数量(0)
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Zhien Wang其他文献

The Analysis of Multi-Year Low-Level and Mid-Level Mixed- Phase Clouds Observed at the North Slope of Alaska Cloud and Radiation Testbed Site
阿拉斯加云北坡观测多年低层和中层混相云分析及辐射试验场
  • DOI:
  • 发表时间:
    2005
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Zhien Wang;D. Whiteman;B. Demoz
  • 通讯作者:
    B. Demoz
Ice in Clouds Experiment—Layer Clouds. Part I: Ice Growth Rates Derived from Lenticular Wave Cloud Penetrations
云中的冰实验——层状云:由透镜状波云穿透产生的冰增长率。
  • DOI:
  • 发表时间:
    2011
  • 期刊:
  • 影响因子:
    0
  • 作者:
    A. Heymsfield;P. Field;M. Bailey;D. Rogers;J. Stith;C. Twohy;Zhien Wang;S. Haimov
  • 通讯作者:
    S. Haimov
The Water Cycle across Scales
跨尺度的水循环
  • DOI:
    10.1175/bams-86-12-1743
  • 发表时间:
    2005
  • 期刊:
  • 影响因子:
    8
  • 作者:
    D. Gochis;B. Anderson;A. Barros;A. Gettelman;Junhong Wang;J. Braun;W. Cantrell;Yangruixue Chen;N. Fox;B. Geerts;W. Han;M. Herzog;P. Kucera;R. Kursinski;A. Laing;Changhai Liu;E. Maloney;S. Margulis;D. Schultz;S. Sherwood;A. Sobel;H. Vömel;Zhien Wang
  • 通讯作者:
    Zhien Wang
Intercomparison of model simulations of mixed‐phase clouds observed during the ARM Mixed‐Phase Arctic Cloud Experiment. II: Multilayer cloud
ARM 混合相北极云实验 II:多层云期间观测到的混合相云模型模拟的相互比较。
  • DOI:
    10.1002/qj.415
  • 发表时间:
    2008
  • 期刊:
  • 影响因子:
    8.9
  • 作者:
    H. Morrison;R. McCoy;S. Klein;S. Xie;Yali Luo;A. Avramov;Mingxuan Chen;J. Cole;M. Falk;M. Foster;A. D. Del Genio;J. Harrington;C. Hoose;M. Khairoutdinov;V. Larson;Xiaohong Liu;G. McFarquhar;M. Poellot;K. von Salzen;B. Shipway;M. Shupe;Y. Sud;D. Turner;D. Veron;G. Walker;Zhien Wang;Audrey B. Wolf;Kuan Xu;Fanglin Yang;Gong Zhang
  • 通讯作者:
    Gong Zhang
Improved tropical deep convective cloud detection using MODIS observations with an active sensor trained machine learning algorithm
使用 MODIS 观测和主动传感器训练的机器学习算法改进热带深对流云检测
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    13.5
  • 作者:
    Kang Yang;Zhien Wang;M. Deng;Brennan Dettmann
  • 通讯作者:
    Brennan Dettmann

Zhien Wang的其他文献

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{{ truncateString('Zhien Wang', 18)}}的其他基金

CAESAR: Characterizing and Understanding Atmospheric Boundary Layer Fluxes, Structure and Cloud Property Evolution in Arctic Cold Air Outbreaks
CAESAR:描述和理解北极冷空气爆发时的大气边界层通量、结构和云特性演化
  • 批准号:
    2151075
  • 财政年份:
    2023
  • 资助金额:
    $ 58.72万
  • 项目类别:
    Continuing Grant
Collaborative Research: Sundowner Winds EXperiment (SWEX) in Santa Barbara, California
合作研究:加利福尼亚州圣巴巴拉的日落风实验 (SWEX)
  • 批准号:
    1921596
  • 财政年份:
    2020
  • 资助金额:
    $ 58.72万
  • 项目类别:
    Standard Grant
Collaborative Research: Observing and Understanding Planetary Boundary Layer (PBL) Heterogeneities and Their Impacts on Tornadic Storms during VORTEX-SE 2018 Field Experiment
合作研究:在 VORTEX-SE 2018 现场实验期间观察和理解行星边界层 (PBL) 异质性及其对龙卷风暴的影响
  • 批准号:
    1917693
  • 财政年份:
    2019
  • 资助金额:
    $ 58.72万
  • 项目类别:
    Standard Grant
MRI: Development of a Multi-function Airborne Raman Lidar for Atmospheric Process Studies
MRI:开发用于大气过程研究的多功能机载拉曼激光雷达
  • 批准号:
    1337599
  • 财政年份:
    2013
  • 资助金额:
    $ 58.72万
  • 项目类别:
    Standard Grant
Exploiting Synergies between Remote Sensing and in Situ Measurements during ICE-T to Better Understand Ice Generation in Tropical Clouds
利用 ICE-T 期间遥感和现场测量之间的协同作用,更好地了解热带云中的冰生成
  • 批准号:
    1034858
  • 财政年份:
    2011
  • 资助金额:
    $ 58.72万
  • 项目类别:
    Continuing Grant
Collaborative Research: Colorado Airborne Multi-Phase Cloud Study (CAMPS)
合作研究:科罗拉多机载多相云研究 (CAMPS)
  • 批准号:
    0964184
  • 财政年份:
    2010
  • 资助金额:
    $ 58.72万
  • 项目类别:
    Continuing Grant

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