Collaborative Research: Toward reanalysis of the Arctic Climate System - sea ice and ocean reconstruction with data assimilation

合作研究:重新分析北极气候系统——通过数据同化进行海冰和海洋重建

基本信息

  • 批准号:
    0629312
  • 负责人:
  • 金额:
    $ 38.95万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2006
  • 资助国家:
    美国
  • 起止时间:
    2006-08-15 至 2010-07-31
  • 项目状态:
    已结题

项目摘要

PROJECT ABSTRACTTitle: Toward reanalysis of the Arctic Climate System - sea ice and ocean reconstruction with data assimilationThe PI's propose to develop an integrated set of assimilation procedures for the arctic ice-ocean system that are able to provide gridded data sets that are physically consistent and constrained to the historical observations of sea ice and ocean parameters. Building on their past research activities in sea ice and ocean data assimilation, they propose to make some first steps toward the creation of an Arctic Climate System Reanalysis that uses modern four-dimensional variational data assimilation methods employing new data assimilation procedures to maximize the integration of model results with observations. They will focus their attention on three distinct periods, each representing a different state of the Arctic climate. The first period is 1972-1978 when the Arctic was relatively cold and there is a large quantity of hydrographic data available, the second is 1989-1996 when large changes begin in the Arctic Ocean circulation, in its hydrographic structure, and in sea ice conditions, and the third is 1997- present when substantial amounts of open water begin to appear in the late summer. Comparison will be made with new reanalysis products with fields obtained by AOMIP models to validate AOMIP model results. After obtaining the reconstructed solutions with the best fit to the observations, they will focus on the analysis of the sea ice, water circulation, and ocean hydrography during these periods.Intellectual Merit: Understanding of the Arctic system and its change is an important goal of the SEARCH program. Accurate gridded atmospheric, cryospheric and oceanic fields consistent with and constrained by point observations are important to understanding the origin of past Arctic changes and are essential for forming accurate budgets of climate variables such as heat and freshwater fluxes. Practical implementation of data assimilation methods is necessary to properly understand and model the climate system, and this project will provide the most accurate results possible with modern techniques. These new simulations will help answer a variety of scientific questions of the SEARCH, SBI, and FWI projects and will significantly contribute to national and international components of ASOF and CLIVAR dealing with climate studies. The algorithms tested and validated in this project could also be applied to a reanalysis of the Arctic Ocean during the 2007-2009 IPY and will be used in existing and planned activities of SEARCH, DAMOCLES, COME, CAME and others.Broader Impact: Data will be available through a web site that will include links to other relevant projects and data, and will be designed to be useful for a variety of audiences including the scientific community, students, and the general public. Interpretations of the results will be published in scientific and popular journals. Educational activities within the project will include training of graduate and undergraduate students at USM and IARC, as well as integration of the material into courses taught at UW, USM and UAF. Active outreach to grade schools in the Fairbanks and Falmouth area and extensive participation in the Polar Science Weekend at the Pacific Science Center in Seattle will continue.
项目摘要标题:对北极气候系统的再分析--海冰和海洋的数据同化重建PI建议为北极冰-海洋系统开发一套综合的同化程序,该程序能够提供物理上一致的网格数据集,并受海冰和海洋参数历史观测的约束。基于他们过去在海冰和海洋数据同化方面的研究活动,他们建议朝着创建北极气候系统再分析迈出一些第一步,该再分析使用现代四维变分数据同化方法,采用新的数据同化程序,最大限度地将模型结果与观测结果相结合。 他们将把注意力集中在三个不同的时期,每个时期代表北极气候的不同状态。第一个时期是1972-1978年,当时北极相对寒冷,有大量的水文数据可用;第二个时期是1989-1996年,当时北冰洋环流、水文结构和海冰条件开始发生重大变化;第三个时期是1997年至今,当时夏末开始出现大量的开放水域。将与新的再分析产品进行比较,用AOMIP模式获得的场来验证AOMIP模式的结果。在获得与观测最佳拟合的重建解后,他们将专注于分析这些时期的海冰,水循环和海洋水文学。智力优势:了解北极系统及其变化是北极研究计划的重要目标。与点观测相一致并受点观测约束的精确网格化大气、冰冻圈和海洋场对于了解过去北极变化的起源很重要,对于形成热量和淡水通量等气候变量的准确预算也至关重要。数据同化方法的实际实施对于正确理解气候系统和模拟气候系统是必要的,该项目将利用现代技术提供最准确的结果。这些新的模拟将有助于回答气候变化研究所、履行机构和FWI项目的各种科学问题,并将为ASOF和CLIVAR处理气候研究的国家和国际组成部分做出重大贡献。在该项目中测试和验证的算法也可应用于2007-2009年国际海洋年期间对北冰洋的再分析,并将用于北极海洋局、DAMOCLES、COME、CAME和其他机构现有和计划开展的活动。将通过一个网站提供数据,该网站将包括与其他有关项目和数据的链接,并将被设计为对包括科学界、学生和公众在内的各种受众有用。对结果的解释将发表在科学和流行杂志上。该项目内的教育活动将包括在USM和IARC的研究生和本科生的培训,以及在UW,USM和UAF教授的课程的材料整合。 积极推广到小学在费尔班克斯和法尔茅斯地区和广泛参与极地科学周末在太平洋科学中心在西雅图将继续。

项目成果

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Jinlun Zhang其他文献

Arctic Ocean Ice Thickness: Modes of Variability and the Best Locations from Which to Monitor Them
北冰洋冰厚度:变化模式和监测它们的最佳位置
  • DOI:
    10.1175/jpo2861.1
  • 发表时间:
    2006
  • 期刊:
  • 影响因子:
    3.5
  • 作者:
    R. Lindsay;Jinlun Zhang
  • 通讯作者:
    Jinlun Zhang
Closure of Earth’s Global Seasonal Cycle of Energy Storage
地球全球储能季节周期的结束
  • DOI:
    10.1007/s10712-023-09797-6
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    G. Johnson;F. Landerer;N. Loeb;J. Lyman;M. Mayer;A. Swann;Jinlun Zhang
  • 通讯作者:
    Jinlun Zhang
Increasing Antarctic Sea Ice under Warming Atmospheric and Oceanic Conditions
  • DOI:
    10.1175/jcli4136.1
  • 发表时间:
    2007-06
  • 期刊:
  • 影响因子:
    4.9
  • 作者:
    Jinlun Zhang
  • 通讯作者:
    Jinlun Zhang
Variability of sea ice simulations assessed with RGPS kinematics
使用 RGPS 运动学评估海冰模拟的可变性
  • DOI:
  • 发表时间:
    2008
  • 期刊:
  • 影响因子:
    0
  • 作者:
    R. Kwok;E. Hunke;W. Maslowski;D. Menemenlis;Jinlun Zhang
  • 通讯作者:
    Jinlun Zhang
On the Effect of Ocean Circulation on Arctic Ice‐Margin Variations
海洋环流对北极冰缘变化的影响
  • DOI:
    10.1029/gm085p0383
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    0
  • 作者:
    W. Hibler;Jinlun Zhang
  • 通讯作者:
    Jinlun Zhang

Jinlun Zhang的其他文献

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{{ truncateString('Jinlun Zhang', 18)}}的其他基金

Collaborative Research: Formation and Persistence of Benthic Biological Hotspots in the Pacific Arctic
合作研究:北极太平洋底栖生物热点的形成和持续
  • 批准号:
    1602985
  • 财政年份:
    2016
  • 资助金额:
    $ 38.95万
  • 项目类别:
    Standard Grant
Collaborative Research: Changes in Arctic Sea Ice and their Impact on Timing of Life History and Production of Zooplankton
合作研究:北极海冰的变化及其对浮游动物生命史和生产时间的影响
  • 批准号:
    1416920
  • 财政年份:
    2014
  • 资助金额:
    $ 38.95万
  • 项目类别:
    Standard Grant
Collaborative Research: Reconstruction of the eastern Bering ice-ocean system by variational assimilation of the BEST-BSIERP data
合作研究:通过 BEST-BSIERP 数据的变分同化重建东白令冰海系统
  • 批准号:
    1107327
  • 财政年份:
    2011
  • 资助金额:
    $ 38.95万
  • 项目类别:
    Standard Grant
Variability and Trends in Antarctic Sea Ice
南极海冰的变化和趋势
  • 批准号:
    0838769
  • 财政年份:
    2009
  • 资助金额:
    $ 38.95万
  • 项目类别:
    Standard Grant
Seasonal Ensemble Forecasts of Arctic Sea Ice
北极海冰的季节性集合预报
  • 批准号:
    0908769
  • 财政年份:
    2009
  • 资助金额:
    $ 38.95万
  • 项目类别:
    Standard Grant
Collaborative Research: Changing Seasonality of the Arctic: Alteration of Production Cycles and Trophic Linkages in Response to Changes in Sea Ice and Upper Ocean Physics
合作研究:北极季节性的变化:生产周期和营养联系的变化响应海冰和上层海洋物理的变化
  • 批准号:
    0901987
  • 财政年份:
    2009
  • 资助金额:
    $ 38.95万
  • 项目类别:
    Standard Grant
BEST: The Impact of Changes in Sea Ice on the Physical Forcings of the Eastern Bering Ecosystem - Retrospective Investigation and Future Projection
BEST:海冰变化对白令东部生态系统物理强迫的影响 - 回顾性调查和未来预测
  • 批准号:
    0611967
  • 财政年份:
    2006
  • 资助金额:
    $ 38.95万
  • 项目类别:
    Standard Grant
Collaborative Research: The Impact of Changes in Arctic Sea Ice on the Marine Planktonic Ecosystem- Synthesis and Modeling of Retrospective and Future Conditions
合作研究:北极海冰变化对海洋浮游生态系统的影响——回顾性和未来条件的综合和建模
  • 批准号:
    0629326
  • 财政年份:
    2006
  • 资助金额:
    $ 38.95万
  • 项目类别:
    Standard Grant
Projections of an Ice-Diminished Arctic Ocean
北冰洋冰层减少的预测
  • 批准号:
    0240916
  • 财政年份:
    2003
  • 资助金额:
    $ 38.95万
  • 项目类别:
    Standard Grant
Construction of an Efficient CSM Sea Ice Model with an Accurate Plastic Solution
使用精确的塑性解决方案构建高效的 CSM 海冰模型
  • 批准号:
    9905846
  • 财政年份:
    1999
  • 资助金额:
    $ 38.95万
  • 项目类别:
    Standard Grant

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