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

DYNamics of the Madden-Julian Oscillation / Analysis of subsurface fluxes with coupled large-eddy simulation models
马登-朱利安振荡的动力学/耦合大涡模拟模型的地下通量分析
批准号:
1129419
负责人:
Eric Skyllingstad
金额:
$59.57万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-01 至 2015-08-31

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中文摘要
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英文摘要
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.
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Understanding the essential characteristics of surface ocean boundary layer turbulence in frontal zones
  • 批准号:
    1435407
  • 项目类别:
    Standard Grant
  • 资助金额:
    $52.63万
  • 财政年份:
    2014
  • 负责人:
    Eric Skyllingstad
  • 依托单位:
Collaborative Research: Combining Arctic Observing Network Observations and Remote Sensing Data to Understand Sea Ice Mass Balance and Albedo Feedbacks in a Changing Arctic
  • 批准号:
    1418064
  • 项目类别:
    Standard Grant
  • 资助金额:
    $16.03万
  • 财政年份:
    2014
  • 负责人:
    Eric Skyllingstad
  • 依托单位:
Collaborative research: Development of a thermodynamic sea ice model with resolved melt ponds for use in linking climate model parameterizations with field data
  • 批准号:
    1022991
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.92万
  • 财政年份:
    2010
  • 负责人:
    Eric Skyllingstad
  • 依托单位:
The Role of Melt Ponds in Ice-Albedo Feedback
  • 批准号:
    0454867
  • 项目类别:
    Standard Grant
  • 资助金额:
    $19.28万
  • 财政年份:
    2005
  • 负责人:
    Eric Skyllingstad
  • 依托单位:
国内基金
海外基金
基于全大气模式的电离层季节内变化对大气Madden-Julian振荡响应的模拟研究
北半球冬季热带印度洋障碍层的变化对Madden-Julian Oscillation的触发及维持的潜在影响研究
  • 批准号:
    41875071
  • 项目类别:
    面上项目
  • 资助金额:
    60.0万元
  • 批准年份:
    2018
  • 负责人:
    邓立平
  • 依托单位:
热带大气Madden-Julian振荡的非线性动力学研究
  • 批准号:
    40975028
  • 项目类别:
    面上项目
  • 资助金额:
    40.0万元
  • 批准年份:
    2009
  • 负责人:
    赵强
  • 依托单位: