Cloud Condensation Nuclei in the Small Cumulus Microphysical Study

小积云微物理研究中的云凝结核

基本信息

项目摘要

Hudson/Abstract Two research aircraft will be coordinated with the CP-2 dual wavelength radar, which will direct the aircraft to clouds with developing coalescence and will provide a time history of cloud outline and liquid water content. Detailed cloud droplet and drop spectra measurements from the two aircraft will trace the development of coalescence. The two DRI instantaneous CCN (cloud condensation nuclei) spectrometers with calibration equipment will be mounted on the NCAR C-130. At times these two instruments will redundantly monitor the ambient aerosol but for most of the time one spectrometer will monitor the counterflow virtual impactor (CVI) in order to determine the spectrum of nuclei within cloud droplets. This will help ascertain the effect of entrainment on the cloud droplet spectrum and will help differentiate homogeneous, inhomogeneous, and entity mixing processes. Comparisons of the CCN spectra and the spectra of updraft velocities will determine the influence of the aerosol on droplet spectra. This basic cloud forming experiment with comparisons of model predictions of droplet spectra with observations of droplet spectra will yield a better definition of CCN--the important critical supersaturations (Sc). Detailed comparisons of drop (50 Mm) and droplet (50 Mm) spectra will determine the influence of each on the other. The fact that these measurements can be made in time sequence before and after coalescence (before and after the existence of drops) allows cause and effect to be separated with respect to droplet and drop spectra. After coalescence has taken effect the CCN spectra will be affected. SCMS will yield the opportunity to follow in time sequence so that the aerosol can be traced before and after coalescence scavenging has occurred.
两架研究飞机将与CP-2双波长雷达协同工作,该雷达将引导飞机前往正在形成聚并的云层,并将提供云轮廓和液态水含量的时间历史。从两架飞机上进行的详细的云滴和云滴光谱测量将追踪合并的发展。两个DRI瞬时CCN(云凝结核)光谱仪和校准设备将安装在NCAR C-130上。有时,这两台仪器将冗余地监测周围的气溶胶,但在大多数时间,一台光谱仪将监测逆流虚拟撞击器(CVI),以确定云滴内原子核的光谱。这将有助于确定夹带对云滴光谱的影响,并有助于区分均匀、非均匀和实体混合过程。CCN谱和上升气流速度谱的比较将确定气溶胶对液滴谱的影响。这个基本的云形成实验将液滴光谱的模型预测与液滴光谱的观测结果进行比较,将更好地定义CCN——重要的临界过饱和度(Sc)。液滴(50毫米)和液滴(50毫米)光谱的详细比较将确定各自对彼此的影响。这些测量可以在聚结前后(液滴存在之前和之后)按时间顺序进行,这一事实允许根据液滴和液滴光谱区分因果关系。聚结作用发生后,会对CCN光谱产生影响。SCMS将有机会按照时间顺序进行跟踪,以便在聚结清除发生之前和之后跟踪气溶胶。

项目成果

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James Hudson其他文献

PMR: point to mesh rendering, a feature-based approach
PMR:指向网格渲染,一种基于特征的方法
Comprehensive Rehabilitation of Patients with Complex Regional Pain Syndrome
复杂局部疼痛综合征患者的综合康复
  • DOI:
    10.1007/978-3-030-75373-3_7
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    James Hudson;E. Lake;Erin Spruit;Michael Terrell;K. Cooper;Colleen McFawn;Nicholas Gut
  • 通讯作者:
    Nicholas Gut
Execution of Parker Solar Probe's unprecedented flight to the Sun and early results
  • DOI:
    10.1016/j.actaastro.2020.11.007
  • 发表时间:
    2021-02-01
  • 期刊:
  • 影响因子:
  • 作者:
    Yanping Guo;Paul Thompson;John Wirzburger;Nick Pinkine;Stewart Bushman;Troy Goodson;Rob Haw;James Hudson;Drew Jones;Seth Kijewski;Brian Lathrop;Eunice Lau;Neil Mottinger;Mark Ryne;Wen-Jong Shyong;Powtawche Valerino;Karl Whittenburg
  • 通讯作者:
    Karl Whittenburg
Data Science for Earth
地球数据科学
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    E. Eftelioglu;S. Shekhar;James Hudson;Lucas Joppa;C. Baru;V. P Janeja
  • 通讯作者:
    V. P Janeja
Embryological incubation temperature modulates behaviour in larval white sturgeon (emAcispencer transmontanus/em)
胚胎发育孵化温度调节幼体白鲟(白鲟)的行为
  • DOI:
    10.1016/j.jtherbio.2025.104069
  • 发表时间:
    2025-01-01
  • 期刊:
  • 影响因子:
    2.900
  • 作者:
    Trevor J. Hamilton;Katherine Cheung;James Hudson;Joshua Szaszkiewicz;Erica Ingraham;Jeffrey Krook;Andréa Johnson;Brian Franczak;Steve McAdam;Colin J. Brauner
  • 通讯作者:
    Colin J. Brauner

James Hudson的其他文献

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{{ truncateString('James Hudson', 18)}}的其他基金

Microphysics Contrasts between Stratus and Cumulus Clouds
层云和积云之间的微观物理对比
  • 批准号:
    1940645
  • 财政年份:
    2020
  • 资助金额:
    $ 28.63万
  • 项目类别:
    Standard Grant
Cloud Condensation Nuclei (CCN) Spectral Measurements in the Tropical Phase of the Ice in Clouds Experiment (ICE-T)
云凝结核 (CCN) 云中冰热带阶段的光谱测量实验 (ICE-T)
  • 批准号:
    1035230
  • 财政年份:
    2010
  • 资助金额:
    $ 28.63万
  • 项目类别:
    Continuing Grant
Collaborative Research: Physics of Stratocumulus Top (POST)
合作研究:层积云顶部物理学(POST)
  • 批准号:
    0734441
  • 财政年份:
    2008
  • 资助金额:
    $ 28.63万
  • 项目类别:
    Continuing Grant
Ice in Clouds Experiment-Layer (ICE-L) Cloud Condensation Nuclei (CCN) Spectral Measurements
云中冰实验层 (ICE-L) 云凝聚核 (CCN) 光谱测量
  • 批准号:
    0615414
  • 财政年份:
    2006
  • 资助金额:
    $ 28.63万
  • 项目类别:
    Standard Grant
Cloud Condensation Nuclei (CCN) and Large Nuclei in Rain In Cumulus over the Ocean (RICO)
云凝结核 (CCN) 和海洋上空积云雨中的大核 (RICO)
  • 批准号:
    0342618
  • 财政年份:
    2004
  • 资助金额:
    $ 28.63万
  • 项目类别:
    Continuing Grant
Cloud Condensation Nuclei (CCN) in Freezing Drizzle
冻毛毛雨中的云凝结核(CCN)
  • 批准号:
    0313899
  • 财政年份:
    2003
  • 资助金额:
    $ 28.63万
  • 项目类别:
    Continuing Grant
MRI: Development of a Cylindrical Cloud Condensation Nuclei (CCN) Spectrometer
MRI:圆柱云凝聚核 (CCN) 光谱仪的开发
  • 批准号:
    0116896
  • 财政年份:
    2001
  • 资助金额:
    $ 28.63万
  • 项目类别:
    Continuing Grant
CCN in ACE-1
ACE-1 中的 CCN
  • 批准号:
    9419263
  • 财政年份:
    1995
  • 资助金额:
    $ 28.63万
  • 项目类别:
    Standard Grant
CCN Measurements in HARP
HARP 中的 CCN 测量
  • 批准号:
    8919935
  • 财政年份:
    1990
  • 资助金额:
    $ 28.63万
  • 项目类别:
    Continuing Grant
Relationships Between Critical Supersaturation and Droplet Spectra in Warm Clouds
暖云中临界过饱和度与液滴光谱之间的关系
  • 批准号:
    8420330
  • 财政年份:
    1985
  • 资助金额:
    $ 28.63万
  • 项目类别:
    Continuing Grant

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Collaborative Research: RUI--Applying Measurements, Models, and Machine Learning to Improve Parameterization of Aerosol Water Uptake and Cloud Condensation Nuclei
合作研究:RUI——应用测量、模型和机器学习来改进气溶胶吸水和云凝核的参数化
  • 批准号:
    2307150
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    2147747
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    366126411
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In-Situ Observations of Maritime Sources/Sinks of Aerosol and Cloud Condensation Nuclei at Palmer Station, Antarctica: PAEROS Pilot Phase
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  • 批准号:
    1241292
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    2012
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    $ 28.63万
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