Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2017JD028063 |
Evaluation of Radiative Transfer Models With Clouds | |
Aumann, Hartmut H.1; Chen, Xiuhong2; Fishbein, Evan1; Geer, Alan3; Havemann, Stephan4; Huang, Xianglei2; Liu, Xu5; Liuzzi, Giuliano6; DeSouza-Machado, Sergio7; Manning, Evan M.1; Masiello, Guido6; Matricardi, Marco3; Moradi, Isaac8; Natraj, Vijay1; Serio, Carmine6; Strow, Larrabee7; Vidot, Jerome9; Chris Wilson, R.1; Wu, Wan5; Yang, Qiguang5; Yung, Yuk L.1,10 | |
2018-06-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2018 |
卷号 | 123期号:11页码:6142-6157 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; England; Italy; France |
英文摘要 | Data from hyperspectral infrared sounders are routinely ingested worldwide by the National Weather Centers. The cloud-free fraction of this data is used for initializing forecasts which include temperature, water vapor, water cloud, and ice cloud profiles on a global grid. Although the data from these sounders are sensitive to the vertical distribution of ice and liquid water in clouds, this information is not fully utilized. In the future, this information could be used for validating clouds in National Weather Center models and for initializing forecasts. We evaluate how well the calculated radiances from hyperspectral Radiative Transfer Models (RTMs) compare to cloudy radiances observed by AIRS and to one another. Vertical profiles of the clouds, temperature, and water vapor from the European Center for Medium-Range Weather Forecasting were used as input for the RTMs. For nonfrozen ocean day and night data, the histograms derived from the calculations by several RTMs at 900cm(-1) have a better than 0.95 correlation with the histogram derived from the AIRS observations, with a bias relative to AIRS of typically less than 2K. Differences in the cloud physics and cloud overlap assumptions result in little bias between the RTMs, but the standard deviation of the differences ranges from 6 to 12K. Results at 2,616cm(-1) at night are reasonably consistent with results at 900cm(-1). Except for RTMs which use full scattering calculations, the bias and histogram correlations at 2,616cm(-1) are inferior to those at 900cm(-1) for daytime calculations. |
英文关键词 | infrared hyperspectral cloud radiative transfer weather forecasting climate |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000436110800023 |
WOS关键词 | ATMOSPHERIC INFRARED SOUNDER ; ASSIMILATION ; RADIANCES ; PARAMETERIZATION ; ECMWF ; SCATTERING ; RETRIEVAL ; PRECIPITATION ; REPRESENTATION ; VALIDATION |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/32441 |
专题 | 气候变化 |
作者单位 | 1.CALTECH, Jet Prop Lab, Pasadena, CA 91125 USA; 2.Univ Michigan, Dept Climate & Space Sci, Ann Arbor, MI 48109 USA; 3.European Ctr Medium Range Weather Forecasts, Reading, Berks, England; 4.UK Met Off, Exeter, Devon, England; 5.NASA, Langley Res Ctr, Hampton, VA 23665 USA; 6.Univ Basilicata, Sch Engn, Potenza, Italy; 7.Univ Maryland, Dept Phys, Catonsville, MD 21228 USA; 8.Univ Maryland, ESSIC, College Pk, MD 20742 USA; 9.Meteo France, Toulouse, France; 10.CALTECH, Dept Planetary Sci, Pasadena, CA 91125 USA |
推荐引用方式 GB/T 7714 | Aumann, Hartmut H.,Chen, Xiuhong,Fishbein, Evan,et al. Evaluation of Radiative Transfer Models With Clouds[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2018,123(11):6142-6157. |
APA | Aumann, Hartmut H..,Chen, Xiuhong.,Fishbein, Evan.,Geer, Alan.,Havemann, Stephan.,...&Yung, Yuk L..(2018).Evaluation of Radiative Transfer Models With Clouds.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,123(11),6142-6157. |
MLA | Aumann, Hartmut H.,et al."Evaluation of Radiative Transfer Models With Clouds".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 123.11(2018):6142-6157. |
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