Collaborative Research: EaSM2--Wildfires and Regional Climate Variability - Mechanisms, Modeling, and Prediction

合作研究:EaSM2——野火和区域气候变化——机制、建模和预测

基本信息

  • 批准号:
    1243220
  • 负责人:
  • 金额:
    $ 121.55万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2013
  • 资助国家:
    美国
  • 起止时间:
    2013-05-01 至 2019-04-30
  • 项目状态:
    已结题

项目摘要

Wildfire is a key component of the climate system and plays an important role in regulating regional climate variability. The overarching goal of this project is to elucidate the role of wildfire in decadal climate variation and prediction. On the basis of wildfire observations in the past decade, the regions that the variability of fire is large will be selected for targeted modeling analysis. The working hypotheses are that the observed fire variability is regulated by regional climate variation and that the climate feedbacks from fires increase regional climate variability. Consequently, the simulation of wildfires and their feedbacks is essential for predicting regional climate variability on a decadal scale. These hypotheses will be thoroughly tested and the mechanistic process will be carefully analyzed using an extensive suite of observations and selected ensembles of climate model simulations. In this project, the modeling capability of wildfires and their climate forcing will be developed by building a new Region-specific Fire Model with Ecosystem Feedbacks (RFMEF). Regional climate forcing by wildfires and fire feedbacks to regional climate variability will be quantified. Lastly fully interactive regional fire-climate variability feedbacks will be investigated to understand the projections of decadal regional climate variability. Understanding the interannual and decadal-scale regional climate variability is critical for designing and testing (regional) adaptation and mitigation strategies. Many atmospheric, oceanic, and ecosystem factors contribute to regional climate variability and most of these factors are already captured in the earth system models. One such factor not yet well represented is wildfire. The two-way interactions between regional climate variability and wildfire not only are important in improving the decadal-scale climate model simulation and prediction but also are necessary when applying the climate model to examine adaptation strategies targeted at the vulnerability induced by enhanced climate variation (due in part to these interactions) and to investigate the effectiveness of mitigation strategies of forest management practices. The open-source RFMEF fire model that will be developed for the Community Earth System Model (CESM) system and the climate modeling data that will be generated in the project will enable policy experts to conduct more in-depth analysis of climate policies in regions strongly affected by wildfire and allow other scientists to conduct climate simulations and prediction that include the fire-ecosystem-climate interactions and that are more suitable for their research and assessment needs.
野火是气候系统的重要组成部分,在调节区域气候变率方面发挥着重要作用。该项目的首要目标是阐明野火在十年气候变化和预测中的作用。根据近十年来的野火观测资料,选择火灾变化较大的区域进行有针对性的建模分析。工作的假设是,所观察到的火灾变率是由区域气候变化和气候反馈火灾增加区域气候变率。因此,模拟野火及其反馈对于预测十年尺度的区域气候变率至关重要。这些假设将得到彻底的检验,机械过程将使用一套广泛的观测和选定的气候模式模拟集合进行仔细分析。在这个项目中,野火及其气候强迫的建模能力将通过建立一个新的具有生态系统反馈的特定区域火灾模型(RFMEF)来开发。将量化野火和火灾对区域气候变率的反馈对区域气候的影响。最后,将研究完全相互作用的区域火灾-气候变率反馈,以了解十年期区域气候变率的预测。了解年际和十年尺度的区域气候变率对于设计和测试(区域)适应和减缓战略至关重要。许多大气、海洋和生态系统因子对区域气候变率有贡献,其中大部分因子已经被地球系统模式所捕获。其中一个尚未得到充分体现的因素是野火。区域气候变率和野火之间的双向相互作用不仅对改进十年尺度气候模式的模拟和预测很重要,而且在应用气候模式审查针对气候变率增加(部分由于这些相互作用)引起的脆弱性的适应战略和调查森林管理做法的缓解战略的有效性时也是必要的。将为社区地球系统模型(CESM)系统开发的开源RFMEF火灾模型和将在该项目中生成的气候建模数据将使政策专家能够对受野火严重影响的地区的气候政策进行更深入的分析,并使其他科学家能够进行气候模拟和预测,包括火灾生态系统,气候相互作用,更适合其研究和评估需要。

项目成果

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会议论文数量(0)
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Yuhang Wang其他文献

cryo-EM Structure of Alternative Complex III/ AA 3 Cytochrome Oxidase Supercomplex from Flavobacterium Johnsoniae
约翰逊黄杆菌替代复合物 III/AA 3 细胞色素氧化酶超级复合物的冷冻电镜结构
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Chang Sun;Padmaja Venkatakrishnan;S. Benlekbir;Yuhang Wang;J. Rubinstein;R. Gennis;Emad Takjhorshid
  • 通讯作者:
    Emad Takjhorshid
Privacy-Preserving Deep Learning for Erythemato-Squamous Disease Classification
用于红斑-鳞状疾病分类的隐私保护深度学习
  • DOI:
    10.1109/swc57546.2023.10448834
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yuhang Wang;Hanlin Zhang;Jie Lin;Fanyu Kong;Leyun Yu
  • 通讯作者:
    Leyun Yu
The influence of the oxygen vacancies on the Pt/TiO2 single-atom catalyst—a DFT study
氧空位对 Pt/TiO2 单原子催化剂的影响——DFT 研究
  • DOI:
    10.1007/s00894-022-05123-w
  • 发表时间:
    2021-12
  • 期刊:
  • 影响因子:
    2.2
  • 作者:
    Yongkang Zhang;Yuhang Wang;Kaibin Su;Fengping Wang
  • 通讯作者:
    Fengping Wang
Tropospheric Measurements of Gas-Phase and Aerosol Chemistry in Polar Regions
极地地区气相和气溶胶化学的对流层测量
  • DOI:
  • 发表时间:
    2007
  • 期刊:
  • 影响因子:
    0
  • 作者:
    M. Hutterli;H. Jacobi;A. Jones;L. Kaleschke;K. Kreher;S. Morin;L. Poissant;A. Richter;J. Savarino;P. Shepson;H. Skov;F. Slemr;S. Solberg;Alexandra Steen;B. Sturges;Yuhang Wang;E. Wol
  • 通讯作者:
    E. Wol
Protection of steel tube against corrosion using self-prestressing UHPC prepared with expansive agent and steel fibers
膨胀剂和钢纤维制备的自预应力UHPC对钢管的防腐保护
  • DOI:
    10.1016/j.istruc.2021.12.076
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    4.1
  • 作者:
    M. Khan;S.H. Chu;X.W. Deng;Yuhang Wang
  • 通讯作者:
    Yuhang Wang

Yuhang Wang的其他文献

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{{ truncateString('Yuhang Wang', 18)}}的其他基金

RAPID: Development of a Nonlinear Activity Response Model for Coronavirus (COVID-19) Scenario Projections Based on the Observations of the Shutdown-Reopening Cycle of China
RAPID:基于对中国关闭-重新开放周期的观察,开发冠状病毒(COVID-19)情景预测的非线性活动响应模型
  • 批准号:
    2030425
  • 财政年份:
    2020
  • 资助金额:
    $ 121.55万
  • 项目类别:
    Standard Grant
Understanding Photochemistry and Export of Ozone and Its Precursors from China
了解光化学和中国臭氧及其前体的出口
  • 批准号:
    1743401
  • 财政年份:
    2018
  • 资助金额:
    $ 121.55万
  • 项目类别:
    Continuing Grant
Ozone Photochemistry in China: Field Measurements and Modeling Analysis
中国的臭氧光化学:现场测量和模型分析
  • 批准号:
    1405805
  • 财政年份:
    2014
  • 资助金额:
    $ 121.55万
  • 项目类别:
    Standard Grant
Investigation of Emissions and Ozone Photochemistry over China and Their Environmental Impacts
中国排放和臭氧光化学及其环境影响调查
  • 批准号:
    1158867
  • 财政年份:
    2012
  • 资助金额:
    $ 121.55万
  • 项目类别:
    Standard Grant
Understanding Ozone and Its Precursors in China and Regional Pollution Outflow: Field Measurements and Integrated Modeling Analysis
了解中国的臭氧及其前体和区域污染流出:现场测量和综合建模分析
  • 批准号:
    0710686
  • 财政年份:
    2007
  • 资助金额:
    $ 121.55万
  • 项目类别:
    Continuing Grant
Seasonal Trends of Springtime Ozone, Reactive Nitrogen, Carbon Monoxide, and Hydrocarbons Over North America and the Effects of Anthropogenic Emissions
北美地区春季臭氧、活性氮、一氧化碳和碳氢化合物的季节变化趋势及人为排放的影响
  • 批准号:
    0343854
  • 财政年份:
    2004
  • 资助金额:
    $ 121.55万
  • 项目类别:
    Continuing Grant
Collaborative Research: Modeling and Data Analysis of the Tropospheric Ozone Production about the Spring Equinox (TOPSE) Experiment
合作研究:春分(TOPSE)实验对流层臭氧产生的建模和数据分析
  • 批准号:
    0233751
  • 财政年份:
    2002
  • 资助金额:
    $ 121.55万
  • 项目类别:
    Standard Grant
Collaborative Research: Modeling and Data Analysis of the Tropospheric Ozone Production about the Spring Equinox (TOPSE) Experiment
合作研究:春分(TOPSE)实验对流层臭氧产生的建模和数据分析
  • 批准号:
    0000337
  • 财政年份:
    2000
  • 资助金额:
    $ 121.55万
  • 项目类别:
    Continuing Grant

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相似海外基金

Collaborative Research EaSM2: Mechanisms, Predictability, Prediction, and Regional and Societal Impacts of Decadal Climate Variability
合作研究EaSM2:十年间气候变化的机制、可预测性、预测以及区域和社会影响
  • 批准号:
    1243015
  • 财政年份:
    2013
  • 资助金额:
    $ 121.55万
  • 项目类别:
    Standard Grant
Collaborative Research: EaSM2--Linking Human and Earth System Models to Assess Regional Impacts and Adaption in Urban Systems and Their Hinterlands
合作研究:EaSM2——将人类和地球系统模型联系起来,评估城市系统及其腹地的区域影响和适应
  • 批准号:
    1243071
  • 财政年份:
    2013
  • 资助金额:
    $ 121.55万
  • 项目类别:
    Standard Grant
Collaborative Research: EaSM2--Linking Human and Earth System Models to Assess Regional Impacts and Adaption in Urban Systems and Their Hinterlands
合作研究:EaSM2——将人类和地球系统模型联系起来,评估城市系统及其腹地的区域影响和适应
  • 批准号:
    1243095
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    $ 121.55万
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Collaborative Research: EaSM2--Linking Near Term Future Changes in Weather and Hydroclimate in Western North America to Adaptation for Ecosystem and Water Management
合作研究:EaSM2——将北美西部近期天气和水文气候的变化与生态系统和水资源管理的适应联系起来
  • 批准号:
    1243204
  • 财政年份:
    2013
  • 资助金额:
    $ 121.55万
  • 项目类别:
    Standard Grant
Collaborative Research: EaSM2--Linking Near Term Future Changes in Weather and Hydroclimate in Western North America to Adaptation for Ecosystem and Water Management
合作研究:EaSM2——将北美西部近期天气和水文气候的变化与生态系统和水资源管理的适应联系起来
  • 批准号:
    1243270
  • 财政年份:
    2013
  • 资助金额:
    $ 121.55万
  • 项目类别:
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Collaborative Research: EaSM2--Linking Human and Earth System Models to Assess Regional Impacts and Adaption in Urban Systems and Their Hinterlands
合作研究:EaSM2——将人类和地球系统模型联系起来,评估城市系统及其腹地的区域影响和适应
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Collaborative Research EaSM2: Mechanisms, Predictability, Prediction, and Regional and Societal Impacts of Decadal Climate Variability
合作研究EaSM2:十年间气候变化的机制、可预测性、预测以及区域和社会影响
  • 批准号:
    1242891
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  • 资助金额:
    $ 121.55万
  • 项目类别:
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Collaborative Research EaSM2: Mechanisms, Predictability, Prediction, and Regional and Societal Impacts of Decadal Climate Variability
合作研究EaSM2:十年间气候变化的机制、可预测性、预测以及区域和社会影响
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    1243106
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  • 资助金额:
    $ 121.55万
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Collaborative Research: EaSM2--Advanced Climate and Regional Model Validation for Societal Applications
合作研究:EaSM2——面向社会应用的高级气候和区域模型验证
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  • 财政年份:
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