Collaborative Research: Westerly Wind Burst Modulation by the Sea-Surface Temperature (SST): from Understanding to El Nino-Southern Oscillation (ENSO) Prediction

合作研究:海面温度(SST)对西风爆发的调节:从理解到厄尔尼诺-南方涛动(ENSO)预测

基本信息

  • 批准号:
    0754332
  • 负责人:
  • 金额:
    $ 39.05万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2008
  • 资助国家:
    美国
  • 起止时间:
    2008-04-01 至 2012-03-31
  • 项目状态:
    已结题

项目摘要

Westerly wind bursts (WWBs) are associated with the onset of major El Nino events. They occur more frequently and energetically and extend farther eastward prior to and during significant El Nino events than in non-El Nino conditions. While these wind events were initially thought to be completely stochastic, more recent analyses indicate that their occurrence and characteristics are at least partially modulated by the large-scale sea-surface temperature (SST). Model studies show that this modulation affects the characteristics of El Ninos as compared to the case of purely stochastic WWBs.This project is divided into two parts. The first, more applied, component is the implementation of an empirical WWB parameterization into a state-of-the-art El Nino-Southern Oscillation (ENSO) prediction model, in an effort to improve the skill of ENSO prediction and to assess the impact of parameterized WWBs on predictability. A previously developed empirical semi-stochastic observationally-motivated WWB model will be applied in the NCAR CCSM3.0 (National Center for Atmospheric Research Community Climate System Model 3.0) coupled ocean-atmosphere model, and this model will be used as an ENSO prediction model. The mutual effects of the WWB model and the coupled ENSO model on each other will be studied, along with the effects of the WWBs on the ENSO simulation, on the predictability of ENSO, and on the spread of predictions in the model. The second part is an effort to understand the basic mechanisms of WWBs and the dynamics of their dependence on the large-scale SST field. A cloud-resolving atmospheric model capable of producing WWBs will be run in a near-global configuration using the diabatic acceleration and rescaling (DARE) approach. The DARE model will be supplemented with analyses of observed wind and outgoing longwave radiation and with several simple models. It is intended that this strategy will result in an understanding of how the SST controls WWBs and will expose the mechanisms for the initiation and termination of the convective activity that creates WWBs.The broader impacts of this project are in contributing to improved skill in predicting ENSO, with the resulting social and economic benefits. Two graduate students will be trained: one at Harvard and one at Miami.
西风爆发(WWB)与重大厄尔尼诺事件的发生有关。在重大厄尔尼诺事件之前和期间,它们比非厄尔尼诺条件下更频繁和更强烈地发生,并向东延伸得更远。虽然这些风事件最初被认为是完全随机的,但最近的分析表明,它们的发生和特征至少部分受到大尺度海表面温度(SST)的调制。模型研究表明,与纯随机WWB的情况相比,这种调制影响了厄尔尼诺现象的特征。第一个更实用的组成部分是在最新的厄尔尼诺-南方涛动(ENSO)预测模式中实施经验WWB参数化,以努力提高ENSO预测的技能,并评估参数化WWB对可预测性的影响。NCAR CCSM3.0(国家大气研究中心社区气候系统模式3.0)海气耦合模式将采用一个基于观测激励的经验半随机WWB模式,该模式将被用作ENSO预报模式。研究WWB模式和耦合ENSO模式之间的相互影响,以及WWB对ENSO模拟的影响、对ENSO预报能力的影响以及预报在模式中的传播。第二部分是对WWB的基本机制及其对大尺度海温场的依赖动力学的研究。一个能够产生WWB的云解析大气模式将使用非绝热加速和重新定标(DARE)方法在近全球配置中运行。DARE模型将补充对观测到的风和出射长波辐射的分析,以及几个简单的模型。这一战略的目的是使人们了解SST如何控制WWB,并揭示产生WWB的对流活动的启动和终止机制。该项目的更广泛影响是有助于提高预测ENSO的技能,从而产生社会和经济效益。两名研究生将接受培训:一名在哈佛,一名在迈阿密。

项目成果

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Zhiming Kuang其他文献

A Moist Entropy Budget View of the South Asian Summer Monsoon Onset
南亚夏季风爆发的湿熵收支观
  • DOI:
    10.1029/2019gl082089
  • 发表时间:
    2017-06
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    Ding Ma;Adam H Sobel;Zhiming Kuang;Martin S Singh;Ji Nie
  • 通讯作者:
    Ji Nie
Stable Machine-Learning Parameterization of Subgrid Processes with Real Geography and Full-physics Emulation
具有真实地理和全物理仿真的子网格过程的稳定机器学习参数化
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Zeyuan Hu;Akshay Subramaniam;Zhiming Kuang;Jerry Lin;Sungduk Yu;Walter M. Hannah;Noah D. Brenowitz;Josh Romero;Michael S. Pritchard
  • 通讯作者:
    Michael S. Pritchard
Right ventricular-pulmonary coupling and tissue hypoperfusion: a combined echocardiographic and metabolic approach to prognosticate cardiogenic shock
  • DOI:
    10.1186/s12872-025-04904-4
  • 发表时间:
    2025-07-03
  • 期刊:
  • 影响因子:
    2.300
  • 作者:
    Jianlong Zhu;Xiaomei Huang;Zhiming Kuang
  • 通讯作者:
    Zhiming Kuang

Zhiming Kuang的其他文献

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{{ truncateString('Zhiming Kuang', 18)}}的其他基金

OTREC: Convective Heating Profiles and the Transition from Shallow to Deep Convection over the Tropical East Pacific and Southwest Caribbean
OTREC:热带东太平洋和西南加勒比地区的对流加热剖面以及从浅对流到深对流的转变
  • 批准号:
    1759255
  • 财政年份:
    2018
  • 资助金额:
    $ 39.05万
  • 项目类别:
    Standard Grant
Collaborative Research: Dynamics of Unsaturated Downdrafts, Cold Pools, and Their Roles in Convective Initiation and Organization
合作研究:不饱和下降气流、冷池的动力学及其在对流引发和组织中的作用
  • 批准号:
    1649819
  • 财政年份:
    2017
  • 资助金额:
    $ 39.05万
  • 项目类别:
    Continuing Grant
Atmospheric Blocking: Dynamics and Responses to Climate Change
大气阻塞:气候变化的动态和响应
  • 批准号:
    1552385
  • 财政年份:
    2016
  • 资助金额:
    $ 39.05万
  • 项目类别:
    Standard Grant
Collaborative Research: Isotopic Fractionation in Snow (IFRACS)
合作研究:雪中同位素分馏 (IFRACS)
  • 批准号:
    1260380
  • 财政年份:
    2013
  • 资助金额:
    $ 39.05万
  • 项目类别:
    Continuing Grant
Collaborative Research: Understanding Madden-Julian Oscillation (MJO) Initiation with DYNAmics of the Madden-julian Oscillation (DYNAMO) Observations and a Hierarchy of Models
合作研究:通过马登朱利安振荡 (DYNAMO) 动力学观测和模型层次结构了解马登朱利安振荡 (MJO) 的起始
  • 批准号:
    1062016
  • 财政年份:
    2011
  • 资助金额:
    $ 39.05万
  • 项目类别:
    Continuing Grant

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