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A Lagrangian investigation of stable water vapor isotopes in deep convective systems

深对流系统中稳定水汽同位素的拉格朗日研究

基本信息

批准号：
1945972
负责人：
Giuseppe Torri
金额：
$ 30万
依托单位：
University of Hawaii
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-07-01 至 2024-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1945972&HistoricalAwards=false
关键词：
Lagrangian investigation stable water vapor

项目摘要

Stable water isotopes have proved to be useful tools in the study of the climate system and have provided important insights in many disciplines, from paleoclimate to groundwater hydrology. In addition, stable water isotopes have the potential to further our understanding of convective dynamics, although this has been a relatively less explored research path. One of the problems that often arise in the interpretation of isotope data is that much is still unknown about how atmospheric processes affect the isotopic composition of rainfall and water vapor. The main goal of this research is to provide a deeper understanding of how different convective processes influence the isotopic composition of water vapor. This will be achieved through a combination of an isotope-enabled cloud resolving model and a Lagrangian particle dispersion model. The models will be used to simulate deep convective systems in radiative-convective equilibrium. Novel Lagrangian diagnostics will be employed to focus specifically on the updrafts, downdrafts, and cold pools of convective systems, and investigate how these dynamical features affect atmospheric water vapor isotopes.The results of this research are expected to help in the interpretation of isotope observations used to study the Earth’s climate both in past and present conditions. Broader impacts include training of a graduate student, research exposure for two undergraduate students, and a number of outreach activities with local communities across the island of Oʻahu.This project is jointly funded by NSF Physical and Dynamic Meteorology Program and the Established Program to Stimulate Competitive Research (EPSCoR).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.

稳定水同位素已被证明是研究气候系统的有用工具，并在从古气候到地下水水文学的许多学科中提供了重要的见解。此外，稳定的水同位素有可能进一步我们了解对流动力学，虽然这一直是一个相对较少探索的研究路径。在同位素数据的解释中经常出现的问题之一是，大气过程如何影响降雨和水蒸气的同位素组成仍然是未知的。这项研究的主要目标是提供一个更深入的了解不同的对流过程如何影响水蒸气的同位素组成。这将通过结合同位素云解析模型和拉格朗日粒子弥散模型来实现。这些模式将用于模拟处于辐射-对流平衡状态的深对流系统。新的拉格朗日诊断将专门关注对流系统的上升气流，下降气流和冷池，并研究这些动力学特征如何影响大气水汽同位素。这项研究的结果有望有助于解释用于研究地球过去和现在气候条件的同位素观测。更广泛的影响包括一名研究生的培训，两名本科生的研究接触，该项目由美国国家科学基金会物理和动力气象学计划和刺激竞争研究的既定计划（EPSCoR）共同资助。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。