globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2016JD026273
论文题名:
An efficient radiative transfer model for hyperspectral IR radiance simulation and applications under cloudy-sky conditions
作者: Li J.; Li Z.; Wang P.; Schmit T.J.; Bai W.; Atlas R.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2017
卷: 122, 期:14
起始页码: 7600
结束页码: 7613
语种: 英语
英文关键词: Infrared ; Jacobian ; radiative
英文摘要: An efficient radiative transfer model has been developed for hyperspectral infrared radiance simulation under both clear- and cloudy-sky conditions. The hyperspectral IR cloudy radiative transfer model (HIRTM) combines atmospheric transmittances due to molecular absorption and cloud absorption and scattering from cloud hydrometeors. An efficient analytical Jacobian methodology is also developed under both clear- and cloudy-sky conditions, which is needed both to assimilate cloudy radiances directly into numerical weather prediction models and to retrieve atmospheric soundings and cloud properties simultaneously from cloudy radiance measurements. In comparing HIRTM and its analytical Jacobian with the community radiative transfer model (CRTM), our research has shown that HIRTM's Jacobian calculations are similar to those of CRTM. HIRTM and CRTM synthetic observations derived from model output are compared with corresponding real observations from Geostationary Operational Environmental Satellite 13 Imager observations, and both perform similarly under water clouds, while CRTM is colder than HIRTM for thick ice clouds. ©2017. American Geophysical Union. All Rights Reserved.
资助项目: NA15NES4320001
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62615
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

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作者单位: Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison, Madison, WI, United States; ASPT/CoRP, Center for Satellite Applications and Research, Madison, WI, United States; National Satellite Meteorological Center, China Meteorological Administration, Beijing, China; Atlantic Oceanographic and Meteorological Laboratory, NOAA, Miami, FL, United States

Recommended Citation:
Li J.,Li Z.,Wang P.,et al. An efficient radiative transfer model for hyperspectral IR radiance simulation and applications under cloudy-sky conditions[J]. Journal of Geophysical Research: Atmospheres,2017-01-01,122(14)
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