DYNamics of the Madden-Julian Oscillation / Analysis of subsurface fluxes with coupled large-eddy simulation models

DYNAMO是美国的一个研究项目，旨在确定在麦登-朱利安涛动（MJO）开始阶段重要的大气和海洋过程。数据将在热带印度洋收集，并与模型实验一起使用，以加速我们对MJO形成和演化的理解。作为DYNAMO的一部分，我们提出了一个控制赤道印度洋海温和大气对流的小尺度混合过程的耦合模拟研究。智力优势：本建议侧重于这项工作的上层海洋部分，目的是利用详细的过程模拟来更好地了解测量的热通量如何在海洋边界层中受到控制，以及这些通量如何与大气对流相互作用。结果还将有助于指导实地项目期间的测量策略。了解海洋混合层过程是确定海洋作为驱动MJO的大气对流的热量和水分来源的关键一步。为了达到目的，将进行一系列海洋和大气大涡模拟（LES）数值实验，包括与海洋混合层模式的耦合，以检验海气和海洋混合层通量。更广泛的影响：MJO事件可以通过频繁的热带风暴和暴雨事件对热带人口产生重大影响。这项工作将进一步了解海洋在与MJO形成和演化相关的对流驱动中的作用，从而更好地预测MJO。该项目将支持和培养一名研究生，并为博士后研究员提供宝贵的研究经验。作为这项工作的一部分，我们将在本署的网站上提供一个易于使用的升级版KPP模型。我们计划在研究和教学中包括一个图形界面和热带印度洋和太平洋海洋条件的示例案例。

DYNAMO is a US research program designed to identify atmospheric and oceanic processes that are important during the initiation phase of the Madden-Julian Oscillation (MJO). Data will be collected across the tropical Indian Ocean and used with model experiments to accelerate our understanding MJO formation and evolution. As part of DYNAMO, we propose a coupled modeling study of small scale mixing processes that govern SST and atmospheric convection in the equatorial Indian Ocean. Intellectual Merit: This proposal focuses on the upper ocean component of this effort with the aim of using detailed process simulations to better understand how measured heat fluxes are controlled in the ocean boundary layer and how these fluxes interact with atmospheric convection. Results will also help guide measurement strategies during the field program. Understanding ocean mixed layer processes is a critical step in determining the role of the ocean as a heat and moisture source for atmospheric convection that drives the MJO. The objectives will be reached by performing sets of oceanic and atmospheric Large Eddy Simulation (LES) numerical experiments, including coupling with an ocean mixed layer model, to examine air-sea and ocean mixed layer fluxes. Broader Impacts: MJO events can have a significant impact on tropical populations via frequent tropical storms and heavy rain events. The proposed work will provide further knowledge of the role of the ocean in driving convection associated with MJO formation and evolution, and will thus lead to better MJO forecasts. This project will support and train a graduate student and provide a valuable research experience for a post doc researcher. As part of this effort, a user-friendly version of our upgraded KPP model will be made available from our department website. We plan to include a graphical interface and sample cases for ocean conditions in the tropical Indian and Pacific oceans for use in research and teaching.