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)

基本信息

  • 批准号:
    0964184
  • 负责人:
  • 金额:
    $ 17.91万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2010
  • 资助国家:
    美国
  • 起止时间:
    2010-06-01 至 2014-05-31
  • 项目状态:
    已结题

项目摘要

This project will focus on in situ and remote sensing measurements of wintertime clouds over the Park Range of the Rocky Mountains in northern Colorado. These clouds are generally mixed-phase; the combination of ice, liquid and water vapor presents challenges both to measurements and modeling, and consequently, to understanding their impact on atmospheric radiation and on precipitation. The Colorado Airborne Multi-Phase Cloud Study (CAMPS) will use the Wyoming King Air research aircraft instrumented with both remote (cloud radar and cloud lidar) and in situ sensors (cloud and particle probes, total water hygrometer) to elucidate the vertical and horizontal structure of cold mixed-phase clouds.Intellectual Merit: The data gathered during CAMPS will include information about macro- and microphysical parameters of mixed-phase clouds obtained by both in situ and remote-sensing methods. These data will be analyzed to address a number of important questions about the structure, properties and impacts of mixed-phase clouds. Specific goals include:1. To assess the vertical and horizontal structure and spatial and temporal variation of cloud properties (particle size distribution, ice and liquid water content, particle habit) in liquid, mixed-phase and precipitating clouds at a mid-latitude continental site with complex terrain during winter.2. To assess the impact of topography and associated variations in vertical forcing on cloud generation and cloud properties.3. To develop a data set that provides the information necessary for improving the representation of mixed-phase clouds in cloud-resolving and climate models.4. To provide correlative data for validation of the Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) program mobile facility and the National Aeronautics and Space Administration A-Train satellite-borne remote sensors.5. To provide observational confirmation of the redistribution of snowfall associated with riming inhibition due to enhanced CCN. Broader Impacts: Ultimately, by enhancing the community's understanding of cloud-scale processes, the data from CAMPS will be the basis for improvements in the representation of clouds in global climate models. This will lead to more accurate calculations of current and future climate. In addition the CAMPS project will contribute to both formal and informal education at a number of levels. At least one graduate student from each of the participating universities will be involved with the field work and/or data analysis related to this project. The investigators will include undergraduates from their institutions in flight-planning and/or meteorology exercises related to CAMPS when possible. Formal educational opportunities for elementary school students will be coordinated by the Storm Peak Laboratory staff, including visits to the laboratory and aircraft and classroom exercises. Outreach activities will include signage at the Steamboat Springs Ski Resort, an interactive display at the gondola building and coordination with the 2011 Steamboat Weather Summit.
该项目将侧重于对科罗拉多州北部落基山脉公园山脉冬季云层的原位和遥感测量。这些云通常是混合相的;冰、液体和水蒸气的结合对测量和建模都提出了挑战,因此,也对了解它们对大气辐射和降水的影响提出了挑战。科罗拉多机载多相云研究项目(CAMPS)将使用怀俄明空中之王研究飞机,该飞机配备了远程(云雷达和云激光雷达)和原位传感器(云和粒子探测器,总水分湿度计),以阐明冷混合相云的垂直和水平结构。智力优势:在营地期间收集的数据将包括通过原位和遥感方法获得的混合相云的宏观和微观物理参数的信息。将对这些数据进行分析,以解决有关混合相云的结构、性质和影响的一些重要问题。具体目标包括:评估冬季地形复杂的中纬度大陆站点液态云、混合云和降水云的垂直和水平结构以及云性质(粒径分布、冰和液态水含量、颗粒习性)的时空变化。2 .评估地形和相关的垂直强迫变化对云的产生和云的性质的影响。3 .开发一个数据集,为改进云分辨和气候模式中混合相云的表示提供必要的信息。为美国能源部(DOE)大气辐射测量(ARM)计划移动设施和美国国家航空航天局A-Train星载遥感器的验证提供相关数据。通过观测证实与CCN增强引起的雾霾抑制有关的降雪再分布。更广泛的影响:最终,通过增强社区对云尺度过程的理解,来自camp的数据将成为改进全球气候模式中云的表示的基础。这将导致对当前和未来气候的更精确的计算。此外,难民营项目将在若干层次上对正规和非正规教育作出贡献。每所参与大学至少有一名研究生将参与与本项目相关的实地工作和/或数据分析。在可能的情况下,调查人员将包括其院校的本科生参加与营地有关的飞行规划和/或气象演习。小学学生的正规教育机会将由风暴峰实验室的工作人员协调,包括参观实验室、飞机和课堂练习。推广活动将包括在蒸汽船泉滑雪场的标牌,在贡多拉大楼的互动展示,以及与2011年蒸汽船天气峰会的协调。

项目成果

期刊论文数量(0)
专著数量(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:
    $ 17.91万
  • 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:
    $ 17.91万
  • 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:
    $ 17.91万
  • 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:
    $ 17.91万
  • 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:
    $ 17.91万
  • 项目类别:
    Continuing Grant
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
  • 批准号:
    0645644
  • 财政年份:
    2007
  • 资助金额:
    $ 17.91万
  • 项目类别:
    Continuing Grant

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