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
基本信息
- 批准号:1034858
- 负责人:
- 金额:$ 53.81万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-01-01 至 2014-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Despite longstanding recognition of the importance of ice nucleation and multiplication processes in clouds, both for precipitation processes as well as for the radiative impact of clouds on global climate, our understanding of heterogeneous ice nucleation mechanisms and the relevance of ice multiplication processes remains limited. The gaps in our understanding of ice formation processes hinder parameterization of ice initiation processes in numerical simulations of clouds, thus leading to uncertainties in cloud radiative properties and precipitation simulated in numerical models.The Ice in Clouds Experiments (ICE) are a series of field campaigns investigating ice nucleation in clouds in a range of different conditions, taking advantage of improvements in observational capabilities including improved in situ probes and airborne Doppler radar and lidar. ICE-Tropical (ICE-T), will investigate ice formation in shallow, convective clouds over the eastern Caribbean.Intellectual merits. The Wyoming Cloud Radar (WCR), together with upward- anddownward-looking versions of the Wyoming Cloud Lidar (WCL) will be flown on the NSF (National Science Foundation)/NCAR (National Center for Atmospheric Research)C-130 aircraft during ICE-T and will be used to observe ice occurrence within cloud.This research will help understanding the relationship between cloud-dynamics andmicrophysical processes. Lidar backscatter and depolarization measurements will be used in conjunction with the PCASP (Passive Cavity Aerosol Spectrometer Probe) and FSSP-300 (Forward Scattering Spectrometer Probe) measurements to identify aerosol distributions and dust layers. The effect of dust on ice formation in clouds will be examined by contrasting ice formation and development in clouds under dusty vs. non-dusty conditions.The dual-Doppler capability of the WCR will be used to investigate how ice is transported inside cloud, and explore the link between cloud dynamics and iceinitiation/multiplication. The combination of WCR and WCL will allow the reflectivity and velocity fields observed by the radar to be unambiguously linked to the boundaries ofthe mixed-phase region.Broader impacts. Radar, lidar, and in situ aerosol data collected during thisinvestigation will facilitate analyses conducted by other ICE-T investigators. A graduatestudent will participate in the ICE-T field campaign and data analysis phase. Data dissemination and other broader outreach efforts will also be carried out through various phases of this project. Finally, an improved understanding of ice nucleation andmultiplication mechanisms in the atmosphere will lead to improved parameterizations ofice processes in numerical models, in turn lead to a better cloud simulations in globalclimate models.
尽管长期以来人们认识到云中的冰成核和增殖过程对于降水过程以及云对全球气候的辐射影响的重要性,但我们对非均质冰成核机制和冰增殖过程的相关性的理解仍然有限。我们对冰形成过程的理解存在空白,这阻碍了云数值模拟中冰形成过程的参数化,从而导致数值模式模拟的云辐射特性和降水的不确定性。云中冰实验(Ice)是一系列在不同条件下研究云中冰核的实地活动,利用改进的观测能力,包括改进的原位探测器和机载多普勒雷达和激光雷达。ice - tropical (ice - t)将调查加勒比海东部的浅对流云中冰的形成。知识的优点。怀俄明州云雷达(WCR)以及怀俄明州云激光雷达(WCL)的向上和向下版本将在ice - t期间由NSF(国家科学基金会)/NCAR(国家大气研究中心)C-130飞机飞行,并将用于观察云内冰的发生。这项研究将有助于理解云动力学和微物理过程之间的关系。激光雷达反向散射和去极化测量将与PCASP(被动腔气溶胶光谱仪探针)和FSSP-300(前向散射光谱仪探针)测量一起使用,以确定气溶胶分布和尘埃层。尘埃对云中冰形成的影响将通过对比有尘和无尘条件下云中冰的形成和发展来检验。WCR的双多普勒能力将用于研究冰如何在云中运输,并探索云动力学与冰形成/倍增之间的联系。WCR和WCL的结合将允许雷达观测到的反射率和速度场与混合相位区域的边界明确地联系在一起。更广泛的影响。在这次调查中收集的雷达、激光雷达和现场气溶胶数据将有助于其他ICE-T调查人员进行分析。一名研究生将参与ICE-T实地活动和数据分析阶段。数据传播和其他更广泛的外联工作也将在这个项目的各个阶段进行。最后,对大气中冰的成核和增殖机制的进一步了解将改善数值模式中对流过程的参数化,从而改善全球气候模式中的云模拟。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Time-dependent freezing rate parcel model
- DOI:10.5194/acp-15-2071-2015
- 发表时间:2014-11
- 期刊:
- 影响因子:6.3
- 作者:G. Vali;J. Snider
- 通讯作者:G. Vali;J. Snider
Integrating laboratory and field data to quantify the immersion freezing ice nucleation activity of mineral dust particles
- DOI:10.5194/acp-15-393-2015
- 发表时间:2015-01-01
- 期刊:
- 影响因子:6.3
- 作者:DeMott, P. J.;Prenni, A. J.;Kreidenweis, S. M.
- 通讯作者:Kreidenweis, S. M.
Calibration of the passive cavity aerosol spectrometer probe for airborne determination of the size distribution
- DOI:10.5194/amt-6-2349-2013
- 发表时间:2013-01-01
- 期刊:
- 影响因子:3.8
- 作者:Cai, Y.;Snider, J. R.;Wechsler, P.
- 通讯作者:Wechsler, P.
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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:
$ 53.81万 - 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:
$ 53.81万 - 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:
$ 53.81万 - 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:
$ 53.81万 - 项目类别:
Standard 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:
$ 53.81万 - 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:
$ 53.81万 - 项目类别:
Continuing Grant
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