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| DOI | 10.1016/j.atmosres.2016.08.012 |
| Uncertainties in synthetic Meteosat SEVIRI infrared brightness temperatures in the presence of cirrus clouds and implications for evaluation of cloud microphysics | |
| Senf, Fabian; Deneke, Hartwig | |
| 2017 | |
| 发表期刊 | ATMOSPHERIC RESEARCH
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| ISSN | 0169-8095 |
| EISSN | 1873-2895 |
| 出版年 | 2017 |
| 卷号 | 183 |
| 文章类型 | Article |
| 语种 | 英语 |
| 国家 | Germany |
| 英文摘要 | Synthetic brightness temperatures of five infrared Meteosat SEVIRI channels are investigated for their sensitivities on cirrus radiative properties. The operational SynSat scheme of the regional German weather prediction model COSMO-DE is contrasted to a revised scheme with a special emphasis on consistency between the model-internal ice-microphysics and infrared radiation in convective situations. In particular, the formulation of generalized effective diameters of ice, snow and graupel as well as subgrid-scale cloud cover has been improved. Based on the applied modifications, we first show that changed assumptions on the cirrus radiative properties can lead to 10 K warmer brightness temperatures. Second, we demonstrate that prescribed relative changes of 20% in cloud cover and particle size induce maximum changes of around 4 to 5 K. The maximum sensitivity appears for semi-transparent cirrus having brightness temperatures around 240 and 260 K and total frozen water path around 30 gm(-2) for viewing geometries over Central Europe. We further consider the known COSMO-DE cold bias to discuss the problem of inconsistencies in model-internal and external formulations of cloud microphysical and radiative properties. We demonstrate that between 35% and 70% of the cold bias can be attributed to the radiative representation of cirrus clouds. We additionally discuss the We of window-channel brightness temperature differences for evaluation of model microphysics and hypothesize that the amount of COSMO-DE ice is overestimated in convective situations. (C) 2016 Elsevier B.V. All rights reserved. |
| 英文关键词 | Meteosat Infrared brightness temperatures Radiation Ice-microphysics Parameterization consistency |
| 领域 | 地球科学 |
| 收录类别 | SCI-E |
| WOS记录号 | WOS:000386861800010 |
| WOS关键词 | NUMERICAL WEATHER PREDICTION ; RADIATIVE-TRANSFER MODEL ; OPTICAL-PROPERTIES ; EFFECTIVE RADIUS ; ICE CRYSTALS ; PARAMETERIZATION ; SCATTERING ; RADIANCES ; CONDENSATION ; ASSIMILATION |
| 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/38257 |
| 专题 | 地球科学 |
| 作者单位 | Leibniz Inst Tropospher Res, Leipzig, Germany |
| 推荐引用方式 GB/T 7714 | Senf, Fabian,Deneke, Hartwig. Uncertainties in synthetic Meteosat SEVIRI infrared brightness temperatures in the presence of cirrus clouds and implications for evaluation of cloud microphysics[J]. ATMOSPHERIC RESEARCH,2017,183. |
| APA | Senf, Fabian,&Deneke, Hartwig.(2017).Uncertainties in synthetic Meteosat SEVIRI infrared brightness temperatures in the presence of cirrus clouds and implications for evaluation of cloud microphysics.ATMOSPHERIC RESEARCH,183. |
| MLA | Senf, Fabian,et al."Uncertainties in synthetic Meteosat SEVIRI infrared brightness temperatures in the presence of cirrus clouds and implications for evaluation of cloud microphysics".ATMOSPHERIC RESEARCH 183(2017). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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