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Three Dimensional Modeling of Dynamical Interactions With Convective, Radiative, and Surface Fluxes Over the Tropical Pacific

Three Dimensional Modeling of Dynamical Interactions With Convective, Radiative, and Surface Fluxes Over the Tropical Pacific
热带太平洋上空对流、辐射和地表通量动态相互作用的三维建模
批准号:
9319461
负责人:
Richard Seager
金额:
$11.99万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1994
资助国家:
美国
项目状态:
已结题
起止时间:
1994-04-01 至 1996-03-31

项目摘要

项目成果

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中文摘要
翻译
Seager, R. Zebiak, Stephen E.哥伦比亚大学题目:热带太平洋对流、辐射和地表通量动力学相互作用的三维模拟。该项目将关注太平洋地区对流、辐射和地表通量之间的相互作用,重点是西太平洋。pi将使用一种新开发的、高效和精确的全局线性原始方程模型,以及湿对流、辐射传输和边界层过程的参数化。这项工作的最终目标是改进这些过程的模式表示,以便改进大尺度变量(特别是近地表性质)的模式模拟,这对于在数月至数十年的时间尺度上气候变率的模拟和预测方面取得持续进展是必要的。因此,模式物理的验证将基于对TOGA COARE域中这些过程的观测以及它们对大尺度环流模拟的影响。pi特别感兴趣的是能够模拟观测到的有限尺度的对流和对流异常,这些误差目前在模拟地面风时造成了很大的误差。这项工作将通过对观测到的海温强迫进行实验,并通过研究辐射通量、对流通量和地表通量在确定传播对流扰动的特征和组织方面的作用来进行。这项工作的另一个重点将是西太平洋的地表能量收支。pi的目标是将从大气模拟工作中得出的通量及其组分的估计值与从海洋海温模拟和TOGA COARE数据中得出的其他估计值相协调。本文将分析对流、辐射和边界层过程在确定地表通量中的各种作用。这项研究很重要,因为它试图阐明对理解气候变率很重要的过程。它是由TOGA COARE计划资助的。
英文摘要
Abstract ATM-9319461 Seager, R. Zebiak, Stephen E. Columbia University Title: Three Dimensional Modeling of Dynamical Interactions with Convective, Radiative and Surface Fluxes Over the Tropical Pacific This project will concern the interaction between the convective, radiative and surface fluxes over the Pacific sector with an emphasis on the west Pacific. The PIs will use a newly developed, efficient and accurate, global, linear primitive equation model together with parameterizations of moist convection, radiative transfer and boundary layer processes. The ultimate goal of the work is to improve model representation of these processes in order to improve model simulations of the large scale variables (especially near surface properties) necessary for continued progress in simulation and prediction of climate variability on time scales of months to decades. Verification of model physics will hence be based on observations of these processes within the TOGA COARE domain and also on their effect on simulation of the large scale circulation. The PIs are especially interested in being able to model the observed limited scale of convection and convective anomalies, errors in which currently create large errors in modelled surface winds. This work will proceed through experiments with observed SST forcing and through studies of the role of the radiative, convection and surface fluxes in determination of the character and organization of propagating convective disturbances. Another focus of the work will be on the surface energy budget of the west Pacific. The PIs will aim to reconcile estimates of the flux, and its components, derived from the atmospheric modeling work with other estimates derived from ocean SST modeling and with the TOGA COARE data. The various roles of convection, radiation and boundary layer processes in determining the surface flux will be analyzed. This research is important because it seeks to clarify proces ses important for understanding climate variability. It is funded under the TOGA COARE program.
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Collaborative Research: Response of the upper tropical Pacific Ocean to greenhouse gas forcing in observations and models
  • 批准号:
    2219829
  • 项目类别:
    Standard Grant
  • 资助金额:
    $70.18万
  • 财政年份:
    2022
  • 负责人:
    Richard Seager
  • 依托单位:
Changes in Impacts-relevant Climate in the World’s Mediterranean Climate Regions: A Mechanisms-based Investigation of Atmosphere-Ocean-Land Processes Across Seasons
  • 批准号:
    2127684
  • 项目类别:
    Standard Grant
  • 资助金额:
    $94.68万
  • 财政年份:
    2021
  • 负责人:
    Richard Seager
  • 依托单位:
GCR: Collaborative Research: Disentangling Environmental Change and Social Factors as Drivers of Migration
  • 批准号:
    1934978
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $277.12万
  • 财政年份:
    2019
  • 负责人:
    Richard Seager
  • 依托单位:
Mechanisms of Mediterranean Region Hydroclimate Variability and Change
  • 批准号:
    1734760
  • 项目类别:
    Standard Grant
  • 资助金额:
    $92.27万
  • 财政年份:
    2017
  • 负责人:
    Richard Seager
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis