| DOI: | 10.2172/1237339
|
| 报告号: | DOE-UCLA--SC0006742
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| 报告题名: | Collaborative Project. 3D Radiative Transfer Parameterization Over Mountains/Snow for High-Resolution Climate Models. Fast physics and Applications |
| 作者: | Liou, Kuo-Nan
|
| 出版年: | 2016
|
| 发表日期: | 2016-02-09
|
| 总页数: | 4
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| 国家: | 美国
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| 语种: | 英语
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| 中文主题词: | 碳
; 吸收
; 反照率
; 散射
; 降水
; 反射率
; 吸附作用
|
| 主题词: | CARBON
; ABSORPTION
; ALBEDO
; SCATTERING
; PRECIPITATION
|
| 英文摘要: | Under the support of the aforementioned DOE Grant, we have made two fundamental contributions to atmospheric and climate sciences: (1) Develop an efficient 3-D radiative transfer parameterization for application to intense and intricate inhomogeneous mountain/snow regions. (2) Innovate a stochastic parameterization for light absorption by internally mixed black carbon and dust particles in snow grains for understanding and physical insight into snow albedo reduction in climate models. With reference to item (1), we divided solar fluxes reaching mountain surfaces into five components: direct and diffuse fluxes, direct- and diffuse-reflected fluxes, and coupled mountain-mountain flux. âExactâ 3D Monte Carlo photon tracing computations can then be performed for these solar flux components to compare with those calculated from the conventional plane-parallel (PP) radiative transfer program readily available in climate models. Subsequently, Parameterizations of the deviations of 3D from PP results for five flux components are carried out by means of the multiple linear regression analysis associated with topographic information, including elevation, solar incident angle, sky view factor, and terrain configuration factor. We derived five regression equations with high statistical correlations for flux deviations and successfully incorporated this efficient parameterization into WRF model, which was used as the testbed in connection with the Fu-Liou-Gu PP radiation scheme that has been included in the WRF physics package. Incorporating this 3D parameterization program, we conducted simulations of WRF and CCSM4 to understand and evaluate the mountain/snow effect on snow albedo reduction during seasonal transition and the interannual variability for snowmelt, cloud cover, and precipitation over the Western United States presented in the final report. With reference to item (2), we developed in our previous research a geometric-optics surface-wave approach (GOS) for the computation of light absorption and scattering by complex and inhomogeneous particles for application to aggregates and snow grains with external and internal mixing structures. We demonstrated that a small black (BC) particle on the order of 1 Îźm internally mixed with snow grains could effectively reduce visible snow albedo by as much as 5â10%. Following this work and within the context of DOE support, we have made two key accomplishments presented in the attached final report. |
| URL: | http://www.osti.gov/scitech/servlets/purl/1237339
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| Citation statistics: |
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| 资源类型: | 研究报告
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/42268
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| Appears in Collections: | 过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响
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| File Name/ File Size |
Content Type |
Version |
Access |
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| 1237339.pdf（199KB） | 研究报告 | -- | 开放获取 | | View
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| Recommended Citation: | |
Liou, Kuo-Nan. Collaborative Project. 3D Radiative Transfer Parameterization Over Mountains/Snow for High-Resolution Climate Models. Fast physics and Applications. 2016-01-01.
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