CAESAR: Characterizing and Understanding Atmospheric Boundary Layer Fluxes, Structure and Cloud Property Evolution in Arctic Cold Air Outbreaks
CAESAR: Characterizing and Understanding Atmospheric Boundary Layer Fluxes, Structure and Cloud Property Evolution in Arctic Cold Air Outbreaks
批准号:
2151075
负责人:
Zhien Wang
金额:
$84.84万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-07-01 至 2026-06-30
中文摘要
北极气候的变化速度比地球上任何地方都要快。气候预测表明,北极将继续变暖,但由于对北极云未来行为的疑问,不确定性出现了。一个主要不确定的领域是在冷空气爆发期间形成的云的性质,在冷空气爆发期间,北极冰层上的非常冷的气团向南移动,越过相对温暖的开阔海洋。该奖项将有助于在亚北极地区冷空气爆发实验(CAESAR)期间提供这些云(和降水)的观测数据以及海洋和大气之间的能量交换,该实验将于2024年春季在斯堪的纳维亚北部进行。在凯撒期间收集的观测结果将用于更好地了解冷空气爆发系统的特征,以及更广泛地了解北极气候系统,为气候模型和预测提供信息。该项目还将有助于改善与海军作战、商业航运和沿海社区密切相关的天气灾害预报。更广泛的领域努力包括为学生和早期职业科学家、国际合作和公众宣传提供重要机会。这一具体项目包括对高级本科生进行实地方法和观察方面的培训,这将与凯撒运动的规划和执行并行。该项目的目标是利用多个遥感和原位测量来(1)表征海洋边界层(MBL)通量、结构和云特性;(2)了解在冷空气爆发(CAOs)期间控制MBL通量、结构和云特性演变的过程。研究小组将部署多功能机载拉曼激光雷达(MARLi)和机载多普勒激光雷达(ADL),以提供NSF/NCAR C-130研究飞机下方的水蒸气、温度、空气垂直速度和气溶胶/云结构的剖面,以记录MBL的热力学和动态结构、MBL顶部的混合以及云的相位和性质分布。对MARLi和ADL数据的分析,结合CAESAR期间的其他观测和建模,将使团队能够专注于了解上游边界层分层和风、MBL卷和小规模垂直运动、地表通量和大气边界层(ABL)顶部夹带/混合如何控制CAOs期间MBL的发展和演变。此外,这些测量将解决气溶胶、MBL过程和云动力学(层状云和对流云)如何影响混合相云特性,特别是液冰质量分配的问题。该项目的主要资金来自物理和动态气象学项目,部分资金来自北极自然科学项目。CAESAR观测资产的部署由大气研究和教育设施项目资助。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
Arctic climate is changing at a faster pace than anywhere on Earth. Climate projections indicate that the Arctic will continue to warm, but uncertainties arise due to questions about the future behavior of Arctic clouds. An area of primary uncertainty is the properties of clouds that form during cold-air outbreaks, where very cold airmasses over the Arctic ice move southward over the relatively warm open ocean. This award will help to provide observational data of these clouds (and precipitation) and the exchange of energy between the ocean and atmosphere during the Cold-Air outbreak Experiment in the Sub-Arctic Region (CAESAR), which will be conducted in Spring 2024 out of northern Scandinavia. The observations collected during CAESAR will be used to better understand the characteristics of the cold-air outbreak system, and the Arctic climate system more broadly, to inform climate models and projections. The project will also help to improve forecasting of weather hazards with significant relevance to naval operations, commercial shipping, and coastal communities. The broader field effort includes significant opportunities for students and early-career scientists, international collaboration, and public outreach. This specific project includes a training component for senior level undergraduate students on field methods and observations that will parallel the planning and execution of the CAESAR campaign.This goal of this project is to use multiple remote sensor and in-situ measurements to (1) characterize Marine Boundary Layer (MBL) fluxes, structure and cloud properties and (2) understand the process controlling the evolution of MBL fluxes, structures and cloud properties during cold-air outbreaks (CAOs). The research team will deploy the Multi-function Airborne Raman Lidar (MARLi) and the nadir-only Airborne Doppler Lidar (ADL) to provide profiles of water vapor, temperature, air vertical velocity, and aerosol/cloud structure below the NSF/NCAR C-130 research aircraft to document MBL thermodynamic and dynamic structures, mixing across the MBL top, and cloud phase and property distributions. Analysis of MARLi and ADL data, combined with other observations and modeling during CAESAR, will allow the team to focus on understanding of how upstream boundary layer stratification and wind, MBL rolls and small-scale vertical motions, and surface fluxes and Atmospheric Boundary Layer (ABL) top entrainment/mixing controls MBL development and evolution during CAOs. In addition, these measurements will address the question of how aerosol, MBL processes, and cloud dynamics (stratiform and convective clouds) impact mixed-phase cloud properties, especially liquid-ice mass partitioning.Primary funding for this project comes from the Physical and Dynamic Meteorology program with partial funding from the Arctic Natural Sciences program. The deployment of observational assets for CAESAR is being funded by the Facilities for Atmospheric Research and Education 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(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: Sundowner Winds EXperiment (SWEX) in Santa Barbara, California
-
批准号:1921596
-
项目类别:Standard Grant
-
资助金额:$13.68万
-
财政年份:2020
-
负责人:Zhien Wang
-
依托单位:
Collaborative Research: Observing and Understanding Planetary Boundary Layer (PBL) Heterogeneities and Their Impacts on Tornadic Storms during VORTEX-SE 2018 Field Experiment
-
批准号:1917693
-
项目类别:Standard Grant
-
资助金额:$32.58万
-
财政年份:2019
-
负责人:Zhien Wang
-
依托单位:
MRI: Development of a Multi-function Airborne Raman Lidar for Atmospheric Process Studies
-
批准号:1337599
-
项目类别:Standard Grant
-
资助金额:$120.4万
-
财政年份:2013
-
负责人:Zhien Wang
-
依托单位:
Exploiting Synergies between Remote Sensing and in Situ Measurements during ICE-T to Better Understand Ice Generation in Tropical Clouds
-
批准号:1034858
-
项目类别:Continuing Grant
-
资助金额:$53.81万
-
财政年份:2011
-
负责人:Zhien Wang
-
依托单位:
Collaborative Research: Colorado Airborne Multi-Phase Cloud Study (CAMPS)
-
批准号:0964184
-
项目类别:Continuing Grant
-
资助金额:$17.91万
-
财政年份:2010
-
负责人:Zhien Wang
-
依托单位:
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
-
批准号:0645644
-
项目类别:Continuing Grant
-
资助金额:$58.72万
-
财政年份:2007
-
负责人:Zhien Wang
-
依托单位:
海外基金