Radiative Transfer through the Black Carbon-Snow System: Fundamentals and Applications

通过黑碳雪系统的辐射传输:基础知识和应用

基本信息

  • 批准号:
    1660587
  • 负责人:
  • 金额:
    $ 60万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-09-01 至 2021-08-31
  • 项目状态:
    已结题

项目摘要

Black carbon (BC) has been identified as an important warming agent in the atmosphere. However, its radiative forcing through reducing the snow/ice albedo is currently associated with large uncertainty. The study seeks to address this uncertainty by improving the understanding of the BC-snow-radiation interactions and developing and implementing a parameterization for the spectral optical properties of BC-snow system accounting for the non-spherical snow grain shapes, and close-packed snow grains with BC-snow stochastic mixing. The parameterization will be implemented in a land surface model to improve our understanding of BC-snow-radiation and feedbacks on the surface temperature, hydrological cycle, and surface water budget. This study will conduct fundamental research on radiative transfer through atmospheric black carbon (BC) and snow systems to understand snow albedo reduction and its potential application to land surface models. This study will investigate the impact of snow-grain packing on the conventional independent scattering approximation, commonly employed for radiative transfer in planetary atmospheres, critical to snow albedo reduction. The study will also develop a physically-based parameterization for the spectral (0.2 - 5 micron) optical properties involving the coupling of atmospheric BC particles, with sizes ranging from 0.01 - 0.1 micron and core-shell structures, and snow grains, with sizes spanning from 50 - 1000 micron and shapes from snowflakes, through plates/columns, to spheroids. Geometric-optics and surface-wave (GOS) approach will be used, verified with laboratory measurements and other numerical methods, to derive necessary and sufficient databases to organize suitable lookup tables and polynomial-exponential functions readily for incorporation into a land surface model. The mixing state of the BC-snow system will also be investigated following the approach developed under a previous EAGER award for external (dry deposition) and internal (wet deposition) multiple mixtures of BC particles in snow grains using single and core-shell spheres serving as building blocks. A fourth objective includes the use of solar radiative transfer through the BC atmosphere and penetrating snow layers, using the exact adding/doubling method, but with the 2-stream approximation for consistence with the methodology included in land surface models. Noah multi-parameterizations (Noah-MP) will be used within the context of the Weather Research and Forecasting (WRF) model.
黑碳(BC)已被确定为大气中重要的变暖因子。然而,其辐射强迫通过减少雪/冰覆盖,目前与很大的不确定性。该研究旨在通过提高对BC-雪-辐射相互作用的理解,并开发和实施BC-雪系统光谱光学特性的参数化来解决这种不确定性,该参数化考虑了非球形雪粒形状以及BC-雪随机混合的紧密堆积雪粒。 参数化将在陆面模式中实施,以提高我们对BC雪辐射和地表温度,水文循环和地表水收支反馈的理解。本研究将对通过大气黑碳(BC)和雪系统的辐射传输进行基础研究,以了解雪的减少及其在陆面模型中的潜在应用。 这项研究将调查雪粒堆积对传统独立散射近似的影响,该近似通常用于行星大气中的辐射传输,对雪反照率的降低至关重要。 该研究还将为光谱(0.2 - 5微米)光学特性开发基于物理的参数化,涉及大气BC颗粒的耦合,尺寸范围从0.01 - 0.1微米和核壳结构,以及雪粒,尺寸从50 - 1000微米,形状从雪花,通过板/柱,到球体。 几何光学和表面波(GOS)的方法将被用来验证实验室测量和其他数值方法,以获得必要的和足够的数据库,组织适当的查找表和多项式指数函数容易纳入陆面模型。 BC-雪系统的混合状态也将根据先前的EAGER奖开发的方法进行研究,该EAGER奖用于外部(干沉积)和内部(湿沉积)BC颗粒在雪粒中的多种混合物,使用单个和核壳球体作为构建块。 第四个目标包括通过BC大气和穿透雪层的太阳辐射传输的使用,使用精确的增加/加倍方法,但与2流近似一致的方法包括在陆面模型。 Noah多参数化(Noah-MP)将在天气研究和预报(WRF)模型的范围内使用。

项目成果

期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Modeling the impact of COVID-19 on air quality in southern California: implications for future control policies
  • DOI:
    10.5194/acp-21-8693-2021
  • 发表时间:
    2021-06-09
  • 期刊:
  • 影响因子:
    6.3
  • 作者:
    Jiang, Zhe;Shi, Hongrong;Liou, Kuo-Nan
  • 通讯作者:
    Liou, Kuo-Nan
Impact of aerosols on ice crystal size
  • DOI:
    10.5194/acp-18-1065-2018
  • 发表时间:
    2018-01
  • 期刊:
  • 影响因子:
    6.3
  • 作者:
    Bin Zhao;K. Liou;Y. Gu;J. Jiang;Qinbin Li;R. Fu;Lei Huang;Xiaohong Liu;Xiangjun Shi;H. Su;C. He
  • 通讯作者:
    Bin Zhao;K. Liou;Y. Gu;J. Jiang;Qinbin Li;R. Fu;Lei Huang;Xiaohong Liu;Xiangjun Shi;H. Su;C. He
ON THE CONVERGENCE OF NUMERICAL COMPUTATIONS FOR BOTH EXACT AND APPROXIMATE SOLUTIONS FOR ELECTROMAGNETIC SCATTERING BY NONSPHERICAL DIELECTRIC PARTICLES (INVITED REVIEW)
非球形介电粒子电磁散射精确解和近似解数值计算的收敛性(特邀评审)
  • DOI:
    10.2528/pier18112810
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yang, Ping;Ding, Jiachen;Panetta, Richard Lee;Liou, Kuo-Nan;Kattawar, George W.;Mishchenko, Michael I.
  • 通讯作者:
    Mishchenko, Michael I.
Impact of Grain Shape and Multiple Black Carbon Internal Mixing on Snow Albedo: Parameterization and Radiative Effect Analysis
  • DOI:
    10.1002/2017jd027752
  • 发表时间:
    2018-01
  • 期刊:
  • 影响因子:
    0
  • 作者:
    C. He;K. Liou;Y. Takano;P. Yang;L. Qi;Fei Chen
  • 通讯作者:
    C. He;K. Liou;Y. Takano;P. Yang;L. Qi;Fei Chen
Enhanced Snow Absorption and Albedo Reduction by Dust‐Snow Internal Mixing: Modeling and Parameterization
  • DOI:
    10.1029/2019ms001737
  • 发表时间:
    2019-11
  • 期刊:
  • 影响因子:
    6.8
  • 作者:
    C. He;K. Liou;Y. Takano;Fei Chen;M. Barlage
  • 通讯作者:
    C. He;K. Liou;Y. Takano;Fei Chen;M. Barlage
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Yu Gu其他文献

Collecting and analyzing key-value data under shuffled differential privacy
洗牌差异隐私下键值数据的收集和分析
  • DOI:
    10.1007/s11704-022-1572-0
  • 发表时间:
    2022-09
  • 期刊:
  • 影响因子:
    4.2
  • 作者:
    Ning Wang;Wei Zheng;Zhigang Wang;Zhiqiang Wei;Yu Gu;Peng Tang;Ge Yu
  • 通讯作者:
    Ge Yu
Numerical approach of liquid carbon dioxide injection in crushed coal and its experimental validation
碎煤中液态二氧化碳注入的数值方法及其实验验证
Nanocatalytic Hydrogel with Rapid Photodisinfection and Robust Adhesion for Fortified Cutaneous Regeneration
具有快速光消毒和强大粘附力的纳米催化水凝胶,可增强皮肤再生
  • DOI:
    10.1021/acsami.2c17366
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yimeng Su;Xiumei Zhang;Yan Wei;Yu Gu;Huilun Xu;Ziming Liao;Liqin Zhao;Jingjing Du;Yinchun Hu;Xiaojie Lian;Weiyi Chen;Yi Deng;Di Huang
  • 通讯作者:
    Di Huang
DELR: A double-level ensemble learning method for unsupervised anomaly detection. Knowledge-Based Systems
DELR:一种用于无监督异常检测的双层集成学习方法。
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    8.8
  • 作者:
    Jia Zhang;Zhiyong Li;Ke Nai;Yu Gu;Ahmed Sallam
  • 通讯作者:
    Ahmed Sallam
In-situ synthesis of a unique 0D/2D porous carbon integrated architecture for high-performance flexible micro-supercapacitors
原位合成独特的0D/2D多孔碳集成架构,用于高性能柔性微型超级电容器
  • DOI:
    10.1016/j.jpowsour.2022.231687
  • 发表时间:
    2022-09
  • 期刊:
  • 影响因子:
    9.2
  • 作者:
    Wenyu Wu;Huaxin Ma;Zhao Zhang;Zhi Zhang;Yu Gu;Weinan Gao;Wei Zhou;Ruijun Zhang
  • 通讯作者:
    Ruijun Zhang

Yu Gu的其他文献

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{{ truncateString('Yu Gu', 18)}}的其他基金

Collaborative Research: NRI: Reducing Falling Risk in Robot-Assisted Retail Environments
合作研究:NRI:降低机器人辅助零售环境中的跌倒风险
  • 批准号:
    2132937
  • 财政年份:
    2022
  • 资助金额:
    $ 60万
  • 项目类别:
    Standard Grant
Intergovernmental Mobility Assignment
政府间流动分配
  • 批准号:
    2152741
  • 财政年份:
    2021
  • 资助金额:
    $ 60万
  • 项目类别:
    Intergovernmental Personnel Award
CAREER: Partial Differential Equation and Randomness
职业:偏微分方程和随机性
  • 批准号:
    2042384
  • 财政年份:
    2021
  • 资助金额:
    $ 60万
  • 项目类别:
    Continuing Grant
CAREER: Partial Differential Equation and Randomness
职业:偏微分方程和随机性
  • 批准号:
    2203014
  • 财政年份:
    2021
  • 资助金额:
    $ 60万
  • 项目类别:
    Continuing Grant
Dynamics in Random Media: from Homogenization to Stochasticity
随机介质中的动力学:从同质化到随机性
  • 批准号:
    2203007
  • 财政年份:
    2021
  • 资助金额:
    $ 60万
  • 项目类别:
    Continuing Grant
REU Site: Undergraduate Robotics Research in Human-Swarm Interaction
REU 网站:人-群交互中的本科生机器人学研究
  • 批准号:
    1851815
  • 财政年份:
    2019
  • 资助金额:
    $ 60万
  • 项目类别:
    Standard Grant
Dynamics in Random Media: from Homogenization to Stochasticity
随机介质中的动力学:从同质化到随机性
  • 批准号:
    1907928
  • 财政年份:
    2019
  • 资助金额:
    $ 60万
  • 项目类别:
    Continuing Grant
Impact of Anthropogenic Air Pollution on Ice Clouds and Regional Radiative Forcing
人为空气污染对冰云和区域辐射强迫的影响
  • 批准号:
    1701526
  • 财政年份:
    2017
  • 资助金额:
    $ 60万
  • 项目类别:
    Standard Grant
Asymptotic Problems of Partial Differential Equations with Random Coefficients: Homogenization and Beyond
具有随机系数的偏微分方程的渐近问题:齐次化及其他
  • 批准号:
    1807748
  • 财政年份:
    2017
  • 资助金额:
    $ 60万
  • 项目类别:
    Continuing Grant
Asymptotic Problems of Partial Differential Equations with Random Coefficients: Homogenization and Beyond
具有随机系数的偏微分方程的渐近问题:齐次化及其他
  • 批准号:
    1613301
  • 财政年份:
    2016
  • 资助金额:
    $ 60万
  • 项目类别:
    Continuing Grant

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具有时序迁移能力的Spiking-Transfer learning (脉冲-迁移学习)方法研究
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