Combined airborne lidar measurments of moisture transport and cirrus properties: HALO-LIDAR

结合机载激光雷达测量水分传输和卷云特性:HALO-LIDAR

基本信息

项目摘要

Lidar measurements of wind, water vapour, ozone, aerosol or clouds are key components of a significant number of planned HALO missions. Although these missions have differing scientific goals and utilise different combinations of lidars and other instruments, a common focus on extratropical weather systems and the common reliance on lidar data provides unique opportunities to develop methods and obtain scientific results beyond what is possible in the context of the individual missions. The aim of HALO-LIDAR is to exploit these synergies by addressing a subset of scientific goals that span several HALO missions, and to develop methods for analysing physically relevant quantities based on combinations of data from lidars and other instruments. The scientific goals centre around measurements of transport and fluxes, especially of water vapour, upstream of developing North Atlantic cyclones, of cirrus properties in their warm sector, and around the identification of related key physical processes through combinations of constituent measurements. Model data from associated projects, especially ensemble simulations, will be exploited to quantify uncertainties due to atmospheric variability. HALO-LIDAR will enable new and better evaluations of weather forecasting and climate models through added value data products based on combinations of instruments and careful quantification of errors and uncertainties.
激光雷达对风、水蒸气、臭氧、气溶胶或云的测量是大量计划中的 HALO 任务的关键组成部分。尽管这些任务有不同的科学目标,并使用不同的激光雷达和其他仪器组合,但对温带天气系统的共同关注和对激光雷达数据的共同依赖为开发方法和获得超出单个任务范围的科学结果提供了独特的机会。 HALO-LIDAR 的目标是通过解决跨越多个 HALO 任务的科学目标子集来利用这些协同作用,并开发基于激光雷达和其他仪器的数据组合来分析物理相关量的方法。科学目标围绕测量传输和通量,特别是北大西洋气旋上游发展中的水蒸气、其温暖区域的卷云特性,以及通过成分测量的组合来识别相关的关键物理过程。来自相关项目的模型数据,特别是集合模拟,将被用来量化大气变化引起的不确定性。 HALO-LIDAR 将通过基于仪器组合以及对误差和不确定性的仔细量化的增值数据产品,对天气预报和气候模型进行新的、更好的评估。

项目成果

期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Airborne high spectral resolution lidar observation of pollution aerosol during EUCAARI-LONGREX
  • DOI:
    10.5194/acp-13-2435-2013
  • 发表时间:
    2012-10
  • 期刊:
  • 影响因子:
    6.3
  • 作者:
    S. Groß;M. Esselborn;F. Abicht;M. Wirth;A. Fix;A. Minikin
  • 通讯作者:
    S. Groß;M. Esselborn;F. Abicht;M. Wirth;A. Fix;A. Minikin
Structure Function Analysis of Water Vapor Simulated with a Convection-Permitting Model and Comparison to Airborne Lidar Observations
使用允许对流模型模拟的水蒸气的结构函数分析以及与机载激光雷达观测的比较
Potential of airborne lidar measurements for cirrus cloud studies
机载激光雷达测量在卷云研究中的潜力
  • DOI:
    10.5194/amt-7-2745-2014
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Groß S;M. Wirth;A. Schäfler;A. Fix;S. Kaufmann;C. Voigt
  • 通讯作者:
    C. Voigt
Aerosol classification by airborne high spectral resolution lidar observations
  • DOI:
    10.5194/acp-13-2487-2013
  • 发表时间:
    2013-01-01
  • 期刊:
  • 影响因子:
    6.3
  • 作者:
    Gross, S.;Esselborn, M.;Petzold, A.
  • 通讯作者:
    Petzold, A.
Height‐resolved variability of midlatitude tropospheric water vapor measured by an airborne lidar
机载激光雷达测量的中纬度对流层水蒸气的高度分辨变化
  • DOI:
    10.1029/2011gl050621
  • 发表时间:
    2012
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    Fischer;C. Kiemle;G. C. Craig
  • 通讯作者:
    G. C. Craig
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Professor Dr. George Craig其他文献

Professor Dr. George Craig的其他文献

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{{ truncateString('Professor Dr. George Craig', 18)}}的其他基金

NAWDEX
北美维德克斯
  • 批准号:
    316736766
  • 财政年份:
    2016
  • 资助金额:
    --
  • 项目类别:
    Infrastructure Priority Programmes
Large-scale and local control of severe weather: Towards adaptive ensemble forecasting (ADENS)
恶劣天气的大规模和局部控制:走向自适应集合预报(ADENS)
  • 批准号:
    60884417
  • 财政年份:
    2008
  • 资助金额:
    --
  • 项目类别:
    Research Units
Quantitative precipitation forecasts, ensemble forecast modelling, Bayesian chains, evolutionary algorithms, variational assimilation, physical initialisation nudging, application of Radar and satellite data
定量降水预报、集合预报建模、贝叶斯链、进化算法、变分同化、物理初始化助推、雷达和卫星数据的应用
  • 批准号:
    5426645
  • 财政年份:
    2004
  • 资助金额:
    --
  • 项目类别:
    Priority Programmes
Quantitative evaluation of regional precipitation forecasts using multi-dimensional remote sensing observations
利用多维遥感观测定量评估区域降水预报
  • 批准号:
    5426619
  • 财政年份:
    2004
  • 资助金额:
    --
  • 项目类别:
    Priority Programmes
Data Assimilation and Ensemble Modelling for the Improvement of Short Range Quantitative Precipitation Forecasts (DAQUA)
用于改进短程定量降水预报 (DAQUA) 的数据同化和集合建模
  • 批准号:
    5426639
  • 财政年份:
    2004
  • 资助金额:
    --
  • 项目类别:
    Priority Programmes

相似国自然基金

机载探地雷达(Airborne-GPR)探测机理研究
  • 批准号:
    41074076
  • 批准年份:
    2010
  • 资助金额:
    50.0 万元
  • 项目类别:
    面上项目

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Operational research of airborne topo-bathymetric lidar
机载地形测深激光雷达业务研究
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RAPID:与 BB-FLUX 合作利用机载激光雷达和高光谱观测支持野火受影响地区的生态特征描述
  • 批准号:
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    2018
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Peatland-wildfire interactions in the Canadian Boreal Plains: analyzing drivers and spatial variation of burn depth and carbon loss using airborne lidar and in situ methods
加拿大北方平原泥炭地与野火的相互作用:使用机载激光雷达和现场方法分析燃烧深度和碳损失的驱动因素和空间变化
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Operational research of airborne topo-bathymetric lidar
机载地形测深激光雷达业务研究
  • 批准号:
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