Unraveling Ice Nucleating Particle Concentration Variability: Insights Into Source Emissions Origin and Parameterizations

IF 3.4 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of Geophysical Research: Atmospheres Pub Date : 2025-04-18 DOI:10.1029/2024JD041258
A. Canzi, E. Freney, P. Grzegorczyk, J. L. Baray, L. Lacher, C. Planche
{"title":"Unraveling Ice Nucleating Particle Concentration Variability: Insights Into Source Emissions Origin and Parameterizations","authors":"A. Canzi,&nbsp;E. Freney,&nbsp;P. Grzegorczyk,&nbsp;J. L. Baray,&nbsp;L. Lacher,&nbsp;C. Planche","doi":"10.1029/2024JD041258","DOIUrl":null,"url":null,"abstract":"<p>Despite having very low atmospheric concentrations, ice-nucleating particles (INPs) play an important role in the formation of atmospheric ice crystals at temperatures warmer than −35°C and hence in the atmospheric precipitation cycle. Moreover, they tend to have a very high spatiotemporal variability. In order to understand this variability, long-term measurements with high temporal resolution are essential. This paper presents an analysis of 3 months of online INP measurements (10 min time-resolved), using a PINE cloud chamber (−33°C ≤ T ≤ −22°C). Measurements were made from December 2022 to March 2023 at the PUY station (France, 1,465 m a.s.l), a site exposed to a variety of air masses including free troposphere conditions. A large part of the temporal variability of INP concentrations (over four orders of magnitude at a single temperature) can be explained by air mass origin. INP concentrations measured for oceanic air masses are in the lower range (from ≈0.1 to ≈10 L<sup>−1</sup>). Those for continental air masses are in a medium range (from ≈1 to ≈100 L<sup>−1</sup>) and depend on the level of pollution of the air mass. INP concentrations measured for southern air masses show highest concentrations (from ≈10 to ≈500 L<sup>−1</sup>) and mostly depend on the amount of dust in the ambient air. Moreover, measurements were conducted during two dust events revealing INP concentrations over 1000 L<sup>−1</sup> at −32°C. Subsequently, a set of parameterizations capable of tracing the measured INP variability were developed. This will facilitate our understanding of the impact of INP concentrations on mixed-phase cloud properties with cloud models.</p>","PeriodicalId":15986,"journal":{"name":"Journal of Geophysical Research: Atmospheres","volume":"130 8","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024JD041258","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Geophysical Research: Atmospheres","FirstCategoryId":"89","ListUrlMain":"https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2024JD041258","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Despite having very low atmospheric concentrations, ice-nucleating particles (INPs) play an important role in the formation of atmospheric ice crystals at temperatures warmer than −35°C and hence in the atmospheric precipitation cycle. Moreover, they tend to have a very high spatiotemporal variability. In order to understand this variability, long-term measurements with high temporal resolution are essential. This paper presents an analysis of 3 months of online INP measurements (10 min time-resolved), using a PINE cloud chamber (−33°C ≤ T ≤ −22°C). Measurements were made from December 2022 to March 2023 at the PUY station (France, 1,465 m a.s.l), a site exposed to a variety of air masses including free troposphere conditions. A large part of the temporal variability of INP concentrations (over four orders of magnitude at a single temperature) can be explained by air mass origin. INP concentrations measured for oceanic air masses are in the lower range (from ≈0.1 to ≈10 L−1). Those for continental air masses are in a medium range (from ≈1 to ≈100 L−1) and depend on the level of pollution of the air mass. INP concentrations measured for southern air masses show highest concentrations (from ≈10 to ≈500 L−1) and mostly depend on the amount of dust in the ambient air. Moreover, measurements were conducted during two dust events revealing INP concentrations over 1000 L−1 at −32°C. Subsequently, a set of parameterizations capable of tracing the measured INP variability were developed. This will facilitate our understanding of the impact of INP concentrations on mixed-phase cloud properties with cloud models.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
解开冰成核粒子浓度变异性:对源排放起源和参数化的见解
尽管冰核粒子在大气中的浓度非常低,但在温度高于- 35°C的大气冰晶形成过程中,冰核粒子(INPs)发挥着重要作用,因此在大气降水循环中发挥着重要作用。此外,它们往往具有非常高的时空变异性。为了了解这种变化,高时间分辨率的长期测量是必不可少的。本文介绍了3个月在线INP测量(10分钟时间分辨)的分析,使用PINE云室(- 33°C≤T≤- 22°C)。测量于2022年12月至2023年3月在PUY站(法国,海拔1,465米)进行,该站点暴露于各种气团,包括自由对流层条件。INP浓度的大部分时间变化(在单一温度下超过四个数量级)可以用气团起源来解释。海洋气团测量到的INP浓度在较低的范围内(≈0.1到≈10 L−1)。大陆气团的这些值在一个中等范围内(≈1到≈100 L−1),取决于气团的污染程度。在南部气团测量的INP浓度显示出最高的浓度(从≈10到≈500 L−1),并且主要取决于周围空气中的粉尘量。此外,在两次尘埃事件中进行的测量显示,INP浓度在- 32°C下超过1000 L−1。随后,开发了一套能够跟踪测量到的INP变化的参数化。这将有助于我们利用云模型理解INP浓度对混合相云性质的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Geophysical Research: Atmospheres
Journal of Geophysical Research: Atmospheres Earth and Planetary Sciences-Geophysics
CiteScore
7.30
自引率
11.40%
发文量
684
期刊介绍: JGR: Atmospheres publishes articles that advance and improve understanding of atmospheric properties and processes, including the interaction of the atmosphere with other components of the Earth system.
期刊最新文献
Stratospheric Influence on Large-Scale Precipitation in the Eastern United States in Late January 2019 Spring–Summer Barents Sea Ice Loss Intensifies the Synchronicity of Recent Extreme Heatwaves in Europe and East Asia Is Radiative Convective Equilibrium Applicable Over the Tibetan Plateau? Enhancement of Global Flood Risk Due To Greater Flood Magnitude and Variability Under Anthropogenic Activities Spectral Outgoing Longwave Radiation Derived From the Polar Radiant Energy in the Far Infrared Experiment (PREFIRE) Measurements: Algorithms and Validations
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1