Collaborative Research: Systematic Evaluation and Further Improvement of Present Broadband Radiative Transfer Modeling Capabilities

合作研究：现有宽带辐射传输建模能力的系统评估和进一步改进

• 批准号: 1632209
• 负责人: Ping Yang
• 金额: $ 50.94万
• 依托单位: Texas A&M University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1632209&HistoricalAwards=false
• 关键词: Collaborative; Research; Systematic; Evaluation; Further

The terrestrial climate system is sensitive to the radiation budget. Thus, accurate knowledge about the solar and thermal infrared radiation in the coupled atmosphere-ocean system is critical to robust climate study. An example of this sensitivity is the suggestion that a 1% decrease in the solar constant could lead to an ice age. The effect of doubling CO2 on radiative forcing is approximately 4 Wm-2, whereas uncertainties in radiation simulations due to, for example, insufficient knowledge about the optical properties of clouds, may be larger than this value. During the 1980s and 1990s, many researchers made substantial progress in developing and improving radiative transfer schemes used in general climate models (GCMs), and various intercomparisons of GCM radiation codes were published. Since that time, significant progress has been made in light scattering computational methods, in-situ measurements and laboratory studies of the optical and microphysical properties of clouds and aerosols, gaseous absorption line parameters and the water vapor continuum absorption, optical properties of various oceanic constituents, and the efficiency of numerical schemes for solving radiative transfer equations. There is a pressing need to incorporate the aforesaid progress into radiative transfer modeling capabilities. Moreover, the ocean and atmosphere are not coupled in many existing radiative transfer models. The scattering and absorption of radiation by oceanic water, dissolved organic matter (the so-called yellow substance), and phytoplankton have an influence in heating the uppermost water layers, and consequently affect thermal and dynamic properties such as the sea surface temperature and depth of the mixed atmosphere-ocean layer. The reflection of radiation by the oceans, including the effects of a wavy air-water interface and whitecap, can also affect the spectral characteristics and magnitude of radiation and, thus, the radiative heating and cooling rates in the atmosphere. The overarching goal is to systematically evaluate and further improve current radiative transfer modeling capabilities. Intellectual Merit:The outcomes of the study will include 1) systematic quantification of the potential errors/inaccuracies of the aforesaid radiative transfer models, 2) extension of the current radiative transfer modeling capabilities to an atmosphere-ocean coupled system, 3) implementation of spectrally consistent parameterizations of ice clouds and dust aerosols, and 4) development and implementation of a computationally efficient radiative transfer solver.Broader Impacts:The research effort will improve the radiative transfer package currently used in climate models, and be a valuable contribution to the atmospheric radiative transfer and climate study communities. Furthermore, the light scattering modeling and parameterization capabilities can find potential applications in other areas such as remote sensing of dust aerosol and ice cloud properties. The associated educational pursuits will focus on mentoring a postdoc researcher, training a graduate student, and developing teaching materials. This effort will contribute to training young researchers in the discipline of radiative transfer and light scattering that is a quite unique branch of atmospheric physics. Furthermore, the integration of RRTMG into classroom teaching will directly benefit the educational program in atmospheric sciences, particularly, in hands-on experience in atmospheric radiative transfer simulation.

陆地气候系统对辐射收支非常敏感。因此，对大气-海洋耦合系统中太阳和热红外辐射的准确认识对稳健的气候研究至关重要。这种敏感性的一个例子是，太阳常数下降1%可能导致冰川期。二氧化碳加倍对辐射强迫的影响约为4wm -2，而辐射模拟中的不确定性，例如由于对云的光学性质认识不足，可能大于这个值。在20世纪80年代和90年代，许多研究人员在开发和改进通用气候模式（GCMs）中使用的辐射传输方案方面取得了实质性进展，并发表了各种GCM辐射代码的相互比较。从那时起，在光散射计算方法、云和气溶胶的光学和微物理性质的现场测量和实验室研究、气体吸收线参数和水蒸气连续吸收、各种海洋成分的光学性质以及求解辐射传递方程的数值格式的效率等方面取得了重大进展。迫切需要将上述进展纳入辐射传输建模能力。此外，在许多现有的辐射传输模式中，海洋和大气是不耦合的。海水、溶解的有机物（所谓的黄色物质）和浮游植物对辐射的散射和吸收对最上层水层的加热产生影响，从而影响热学和动力学性质，如海表温度和混合大气-海洋层的深度。海洋对辐射的反射，包括波浪状空气-水界面和白浪的影响，也会影响辐射的光谱特征和强度，从而影响大气中的辐射加热和冷却速率。总体目标是系统地评估和进一步改进当前的辐射传输建模能力。智力优势：研究成果将包括1)系统地量化上述辐射传输模型的潜在误差/不准确性，2)将当前的辐射传输建模能力扩展到大气-海洋耦合系统，3)实现冰云和尘埃气溶胶的光谱一致参数化，以及4)开发和实现计算效率高的辐射传输求解器。更广泛的影响：研究工作将改进目前在气候模式中使用的辐射传输包，并对大气辐射传输和气候研究界做出有价值的贡献。此外，光散射建模和参数化能力可以在其他领域找到潜在的应用，如尘埃气溶胶和冰云性质的遥感。相关的教育追求将侧重于指导博士后研究员，培训研究生，并开发教材。这一努力将有助于在辐射转移和光散射这一大气物理学的一个相当独特的分支学科中训练年轻的研究人员。此外，将RRTMG整合到课堂教学中，将直接有利于大气科学的教育计划，特别是大气辐射传输模拟的实践经验。

项目成果

Improved δ-Eddington approximation for optically thin clouds

光学薄云的改进 δ-Eddington 近似

• DOI: 10.1016/j.jqsrt.2019.106694
• 发表时间: 2020
• 期刊: Journal of Quantitative Spectroscopy and Radiative Transfer
• 影响因子: 2.3
• 作者: Ren, Tong;Yang, Ping;Tang, Guanglin;Huang, Xianglei;Mlawer, Eli
• 通讯作者: Mlawer, Eli

Improvement of the Simulation of Cloud Longwave Scattering in Broadband Radiative Transfer Models

宽带辐射传输模型中云长波散射模拟的改进

• DOI: 10.1175/jas-d-18-0014.1
• 发表时间: 2018
• 期刊: Journal of the Atmospheric Sciences
• 影响因子: 3.1
• 作者: Tang, Guanglin;Yang, Ping;Kattawar, George W.;Huang, Xianglei;Mlawer, Eli J.;Baum, Bryan A.;King, Michael D.
• 通讯作者: King, Michael D.

Assessing the accuracy and efficiency of longwave radiative transfer models involving scattering effect with cloud optical property parameterizations

• DOI: 10.1016/j.jqsrt.2019.106683
• 发表时间: 2020-01
• 期刊: Journal of Quantitative Spectroscopy and Radiative Transfer
• 影响因子: 2.3
• 作者: C. Kuo;P. Yang;Xianglei Huang;Yi‐Hsuan Chen;Guosheng Liu

An Improved Small-Angle Approximation for Forward Scattering and Its Use in a Fast Two-Component Radiative Transfer Method

• DOI: 10.1175/jas-d-16-0278.1
• 发表时间: 2017-05
• 期刊: Journal of the Atmospheric Sciences
• 影响因子: 3.1
• 作者: Bingqiang Sun;G. Kattawar;P. Yang;E. Mlawer

Impact of Multiple Scattering on Longwave Radiative Transfer Involving Clouds

• DOI: 10.1002/2017ms001117
• 发表时间: 2017-12-01
• 期刊: JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
• 影响因子: 6.8
• 作者: Kuo, Chia-Pang;Yang, Ping;Mlawer, Eli J.
• 通讯作者: Mlawer, Eli J.