Collaborative Research: Chemistry-Informed Ice Nucleation and Growth--Integrated Laboratory and Modeling Studies

合作研究：基于化学的冰成核和生长——综合实验室和模型研究

• 批准号: 2322856
• 负责人: Miriam Freedman
• 金额: $ 88.49万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2322856&HistoricalAwards=false
• 关键词: Collaborative; Research; Chemistry; Informed; Ice

The project team in this collaborative research project will combine laboratory experiments with numerical modeling in order to study how the chemistry of ice nucleating particles immersed in solution droplets impact the ice nucleation process and subsequent ice growth. There are many existing uncertainties and knowledge gaps related to the chemistry of ice nucleating particles, primarily associated with understanding the sensitivity of ice nucleation and crystal growth as it relates to the chemical composition of freezing droplets. This research will develop a detailed experiment-informed modeling framework that aims to fill these gaps. The research includes laboratory experiments and modeling work that will be done concurrently. Educational videos will be produced with a professional weather communication team that will be shared online and on local public television stations. Both graduate and undergraduate students will be trained and integrated during this project.The project team will combine laboratory experiments, including both nucleation and growth experiments, with existing ice crystal growth, aerosol evolution, and ice nucleation models. The specific tasks in this project include: (1) the characterization of ice nucleation of mineral dust and biological analogs internally mixed with acids or salts using both stochastic and deterministic modeling frameworks; (2) the characterization of ice growth in these same systems; (3) the development of improved ice nucleation parameterizations; and (4) the development of ice growth parameterizations for aerosol-based Lagrangian particle models. Outreach and educational videos will be produced in collaboration with the Pennsylvania State University Weather Communications Group. Additional outreach will be made via the Weather World program that airs on local public television stations.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.

该合作研究项目的项目团队将联合收割机实验室实验与数值模拟相结合，以研究浸入溶液液滴中的冰成核颗粒的化学性质如何影响冰成核过程和随后的冰生长。有许多现有的不确定性和知识差距有关的冰成核颗粒的化学，主要是与理解冰成核和晶体生长的敏感性，因为它涉及到冷冻液滴的化学成分。这项研究将开发一个详细的实验知情的建模框架，旨在填补这些空白。这项研究包括实验室实验和建模工作，将同时进行。教育视频将与专业的天气通信团队一起制作，并将在网上和当地公共电视台上分享。在本项目中，研究生和本科生都将接受培训和整合。项目团队将联合收割机实验室实验，包括成核和生长实验，与现有的冰晶生长，气溶胶演变和冰成核模型相结合。该项目的具体任务包括：（1）利用随机和确定性模型框架表征矿物粉尘和生物类似物与酸或盐的内部混合的冰成核;（2）这些相同系统中冰生长的表征;（3）改进的冰成核参数化的发展;（4）气溶胶拉格朗日粒子模式的冰生长参数化的发展。将与宾夕法尼亚州立大学气象通信集团合作制作宣传和教育视频。该奖项反映了NSF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。