| 云参数对RTTOV5模式模拟误差的影响分析 |
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| 引用本文： | 马刚,方宗义,等.云参数对RTTOV5模式模拟误差的影响分析[J].应用气象学报,2001,12(4):385-392. |
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| 作者姓名： | 马刚 方宗义 |
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| 作者单位： | 国家卫星气象中心, 北京 100081 |
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| 基金项目： | 本文得到国家重点基础研究项目“我国重大天气灾害的形成机理和预测理论研究”的资助。 |
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| 摘 要： | 该文根据1998年8月的业务TOVS反演的温度、水汽垂直廓线资料以及其它资料, 利用RTTOV5模式模拟NOAA14极轨气象卫星上相应红外探测 (HIRS) 通道的辐射亮温值, 将模拟值对比实测TOVS探测资料, 结果表明, 晴空模式模拟亮温与实测值的误差小于部分有云时的误差, 模拟误差受云的影响呈反相变化, 对水汽敏感的中低层探测通道在晴空时的误差小于部分有云情况; 通过对比白天和夜间短波窗区探测通道模拟误差, 分析了其受地面反射太阳光辐射的影响的大小及其原因所在; 并利用RTTOV5的伴随模式和Jacobine模式分析了模式模拟误差对初始场云参数的敏感性。该研究为TOVS/ATOVS探测资料在3DR或4DR变分同化中的直接应用奠定了基础。
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| 关 键 词： | 云量 云顶气压 正演模式 模式误差 敏感性 |
| 收稿时间： | 2001-01-08 |
| 修稿时间： | 2001年1月8日 |
The Impact of Cloud Parameters on the Simulated Errors in Rttov5 |
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| Ma Gang,Fang Zongyi,Zhang Fengying.The Impact of Cloud Parameters on the Simulated Errors in Rttov5[J].Quarterly Journal of Applied Meteorology,2001,12(4):385-392. |
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| Authors: | Ma Gang Fang Zongyi Zhang Fengying |
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| Affiliation: | National Satellite Meteorological Center, Beijing 100081 |
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| Abstract: | TOVS/ATOVS data from meteorologic satellite can provide the vertical distributio n of temperature and humidity in the atmosphere. In order to use these data in N WP models directly, then to make the initial field of NWP model more accurate an d improve forecast finally, a fast transmittance model (RT model) is required in a multi-dimensional data variational assimilation system. There will be big er r ors while simulating HIRS data by an RT model, because HIRS data in TOVS/ATOVS c an not get the information of the vertical distribution of temperature and humid ity below the clouds. Before assimilating TOVS/ATOVS data into NWP model, it is a necessary task to analyze the impact of the cloud parameters (the top of cloud and cloud fraction are included mainly) on simulated errors using RTTOV5, based on the actuality of operational TOVS data every day (about 70% observation poin ts are partly cloudy). The temperature and humidity profiles from operational TO VS data, as well as some others data necessary to run RTTOV5, are used to comput e the brightness temperature with respect to HIRS channels in NOAA14. Then the i mpact of the cloud fraction and the top of cloud on simulated errors in models a re estimated. Finally an adjoint model and a Jacobine model of RTTOV5 are used t o analyze the sensitivity of the simulated errors of RTTOV5 to initial cloud par ameters (the cloud fraction and the pressure of of cloud top). |
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| Keywords: | Cloud fraction Air pressure at top of clo ud RT model Model deviation sensitivity |
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