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Collaborative Research: EUREC4A-iso--Constraining the Interplay between Clouds, Convection, and Circulation with Stable Isotopologues of Water Vapor

Collaborative Research: EUREC4A-iso--Constraining the Interplay between Clouds, Convection, and Circulation with Stable Isotopologues of Water Vapor
合作研究:EUREC4A-iso——用水蒸气的稳定同位素体约束云、对流和环流之间的相互作用
批准号:
1938108
负责人:
Peter Blossey
金额:
$38.86万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-11-15 至 2024-10-31

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中文摘要
翻译
热带海洋上空的低空云层将阳光反射回太空,从而使地球气候变冷。在全球气候模式(GCMs)中,这些云通常会放大温室气体引起的变暖,因为变暖减少了云层覆盖并允许更多的阳光到达地表,从而导致进一步变暖。但是,这种放大的强度因模式而异,在很大程度上影响了gcm对变暖估计的大范围。此外,与通过参数化间接表示低云的gcm相比,明确表示低云的精细尺度、小域模式的云模拟显示云量减少较少。另一方面,如果低层云组织成簇,精细尺度模式中的云量会随着变暖而显著减少,而这种行为在gcm中没有被捕捉到。最近的研究表明,GCMs之间以及GCMs与精细尺度模式之间的低云敏感性差异,可以从模式平衡降水、地表蒸发、湍流混合以及热带海洋云层上升气流和下降气流的湿润和干燥效应的各种方式来理解。这项研究已经确定了导致云对变暖的敏感性较高或较低的特定平衡,从而可以对观测结果进行测试。进行这种试验需要新的观察结果。该奖项支持的工作收集了对水蒸气、雨滴和海水的同位素组成的观测,以研究湿润和干燥过程,这些过程决定了低云的性质和灵敏度。普通的水(H2O)由两个氢原子和一个氧-16原子组成,但有些水分子含有较重的同位素氘、氧-17和氧-18原子。含有较重同位素的水分子比普通的水分子更容易凝结,蒸发得更慢。因此,湿度相同的空气样本可能有不同浓度的重同位素,这取决于湿度产生的过程。例如,如果湿度水平是由云层上方的干燥空气和海洋表面附近的潮湿空气混合而成,那么重同位素的浓度通常会高于通过从潮湿的低层空气中凝结水分而形成的相同湿度水平。水同位素数据是作为EUREC4A野外活动的一部分收集的,该活动旨在阐明云-环流耦合在气候中的作用。EUREC4A是由德国马克斯普朗克研究所和法国气象动力学实验室领导的一项多国运动,将于2020年1月20日至2月20日在巴巴多斯部署。该合同支持从两艘船、一架飞机和巴巴多斯云天文台进行同位素取样。数据收集和分析以各种方式与模型模拟相结合。许多工作涉及模拟重同位素不同行为的模型,以便与同位素数据进行直接比较。该研究具有更广泛的影响,因为它有可能减少基于gcm估计未来气候变化严重程度的不确定性。EUREC4A项目还提供了一个加强国际科学合作的机会,该项目为两名研究生提供了实地经验。在活动期间,通过博客向公众进行宣传,pi与新墨西哥自然历史和科学博物馆合作,通过青年探险家夏季科学营和青少年导赏计划等项目进行宣传。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Low-level clouds over tropical oceans cool the earth's climate by reflecting sunlight back to space. In global climate models (GCMs) these clouds generally amplify greenhouse gas-induced warming, as warming reduces cloud cover and allows more sunlight to reach the surface, causing further warming. But the strength of this amplification varies considerably from model to model and contributes substantially to the large range of warming estimates from GCMs. Moreover, cloud simulations from fine-scale, small-domain models which explicitly represent low clouds show less reduction in cloudiness than GCMs, which represent low clouds indirectly through parameterizations. On the other hand, cloud cover in the fine-scale models can reduce significantly with warming if the low clouds organize into clusters, a behavior not captured in GCMs.Recent research suggests that low cloud sensitivity differences among GCMs, and between GCMs and fine-scale models, can be understood in terms of the various ways in which models balance the moistening and drying effects of precipitation, surface evaporation, turbulent mixing, and cloud updrafts and downdrafts over tropical oceans. This research has identified specific balances which lead to higher or lower cloud sensitivity to warming, allowing tests against observations to be made. New observations are required to conduct such tests.Work supported under this award collects observations of the isotopic composition of water vapor, raindrops, and sea water to examine the moistening and drying processes that determine low cloud properties and sensitivities. Ordinary water (H2O) consists of two hydrogen atoms and one oxygen-16 atom, but some water molecules contain atoms of the heavier isotopes deuterium, oxygen-17, and oxygen-18. Water molecules containing heavier isotopes condense more readily and evaporate more sluggishly than ordinary H2O. Thus air samples with the same humidity can have different concentrations of heavy isotopes depending on the processes through which that humidity came about. For instance, if the humidity level is set by the mixing of dry air above the cloud layer and moist air near the ocean surface, concentrations of heavy isotopes will generally be higher than if the same humidity level is established by condensing water out of moist low-level air. Water isotope data is collected as part of a field campaign with the acronym EUREC4A, for Elucidating the Role of Clouds-Circulation Coupling in Climate. EUREC4A is a multinational campaign led by the Max Planck Institute in Germany and the Laboratoire de Meteorologie Dynamique in France, with a deployment based in Barbados from January 20th to February 20th 2020. This award supports isotope sampling from two ships, an aircraft, and the Barbados Cloud Observatory. Data collection and analysis is combined with model simulations in a variety of ways. Much of the work involves models which simulate the distinct behaviors of heavy isotopes so that direct comparisons with isotopic data can be made.The research has broader impacts due to its potential for reducing uncertainty in GCM-based estimates of the severity of future climate change. The EUREC4A campaign also provides an opportunity to enhance international scientific collaboration, and the project provides field experience for two graduate students. Outreach to the public is conducted during the campaign through a blog, and the PIs have partnered with the New Mexico Museum of Natural History and Science to perform outreach through programs including the Young Explorers Summer Science Camp and the Junior Docent Program.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(7)
专著(0)
科研奖励(0)
会议论文
Simulating observed cloud transitions in the northeast Pacific during CSET
模拟 CSET 期间观测到的东北太平洋云层转变
DOI: 10.1175/mwr-d-20-0328.1
发表时间: 2021
期刊: Monthly Weather Review
影响因子: 3.2
作者: [Blossey, Peter N., Bretherton, Christopher S., Mohrmann, Johannes]
通讯作者: Mohrmann, Johannes
Isotopic measurements in water vapor, precipitation, and seawater during EUREC 4 A
EUREC 4 A 期间水蒸气、降水和海水的同位素测量
DOI: 10.5194/essd-15-465-2023
发表时间: 2023
期刊: Earth System Science Data
影响因子: 11.4
作者: [Bailey, Adriana, Aemisegger, Franziska, Villiger, Leonie, Los, Sebastian A., Reverdin, Gilles, Quiñones Meléndez, Estefanía, Acquistapace, Claudia, Baranowski, Dariusz B., Böck, Tobias, Bony, Sandrine]
通讯作者: Bony, Sandrine
DOI: 10.1029/2022ms003331
发表时间: 2023
期刊: Journal of Advances in Modeling Earth Systems
影响因子: 6.8
作者: [Risi, Camille, Muller, Caroline, Vimeux, Françoise, Blossey, Peter, Védeau, Grégoire, Dufaux, Clarisse, Abramian, Sophie]
通讯作者: Abramian, Sophie
Sub-cloud rain evaporation in the North Atlantic winter trade winds derived by pairing isotopic data with a bin-resolved microphysical model
通过将同位素数据与箱分辨微物理模型配对得出的北大西洋冬季信风中的亚云降雨蒸发
DOI: 10.5194/acp-23-12671-2023
发表时间: 2023
期刊: Atmospheric Chemistry and Physics
影响因子: 6.3
作者: [Sarkar, Mampi, Bailey, Adriana, Blossey, Peter, de Szoeke, Simon P., Noone, David, Quiñones Meléndez, Estefanía, Leandro, Mason D., Chuang, Patrick Y.]
通讯作者: Chuang, Patrick Y.
Collaborative Research: Towards Better Understanding of the Climate System Using a Global Storm-Resolving Model
  • 批准号:
    2218829
  • 项目类别:
    Standard Grant
  • 资助金额:
    $35.3万
  • 财政年份:
    2022
  • 负责人:
    Peter Blossey
  • 依托单位:
Collaborative Research: Advancing Understanding of Aerosol-Cloud Feedback Using the World's First Global Climate Model with Explicit Boundary Layer Turbulence
  • 批准号:
    1912130
  • 项目类别:
    Standard Grant
  • 资助金额:
    $41.88万
  • 财政年份:
    2019
  • 负责人:
    Peter Blossey
  • 依托单位:
Collaborative Research: Isotopic Fractionation in Snow (IFRACS)
  • 批准号:
    1260368
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $21.64万
  • 财政年份:
    2013
  • 负责人:
    Peter Blossey
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)