| 基于晴空阈值法的全天空红外图像云量计算 |
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| 引用本文： | 陈磊,张海波,石鹏飞,韩燕,关军.基于晴空阈值法的全天空红外图像云量计算[J].新疆气象,2015,9(3):50-56. |
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| 作者姓名： | 陈磊 张海波 石鹏飞 韩燕 关军 |
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| 作者单位： | 西北核技术研究所,西北核技术研究所,西北核技术研究所,西北核技术研究所,西北核技术研究所 |
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| 基金项目： | 国家863计划(2013AA8061002) |
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| 摘 要： | 为提高新疆戈壁地区云的自动化观测水平,基于全天空红外成像仪(WSIRCMS)获取的红外辐射图像,利用辐射传输模式SBDART分析了仪器测量波段对有云无云状况的敏感性并构建了拟合方程,同时利用典型季节的晴空辐射样本拟合了晴空曲线并统计形成了晴空阈值,最后利用统计晴空阈值对全天空红外辐射图像进行云像素识别和总云量计算。将不同季节总云量计算结果同人工观测结果对比验证表明：观测时段算法计算总云量和人工观测总云量差值在±2成以下的概率均在80%以上,说明该方法具有较高的准确度和较强的实用性,在观测业务中具有较好的应用前景。
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| 关 键 词： | 总云量 晴空阈值 红外图像 |
| 收稿时间： | 9/3/2014 12:00:00 AM |
| 修稿时间： | 2/1/2015 12:00:00 AM |
Total cloud amount calculation based on clear sky threshold using whole sky infrared images |
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| CHEN Lei,ZHANG Hai-bo,SHI Peng-fei,HAN Yan and GUAN Jun.Total cloud amount calculation based on clear sky threshold using whole sky infrared images[J].Bimonthly of Xinjiang Meteorology,2015,9(3):50-56. |
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| Authors: | CHEN Lei ZHANG Hai-bo SHI Peng-fei HAN Yan and GUAN Jun |
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| Institution: | Northwest Institute of Nuclear Technology,Northwest Institute of Nuclear Technology,Northwest Institute of Nuclear Technology,Northwest Institute of Nuclear Technology,Northwest Institute of Nuclear Technology |
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| Abstract: | To improve the ground-based automatic observation of total cloud amount(TCA) in xinjiang gobi region, based on the cumulative infrared radiation images obtained by Whole Sky Infrared Cloud Measuring System (WSIRCMS), the sensitivity of instrument measurement band to different sky conditions(include clear and cloudiness) was analyzed using radiative transfer model SBDART, and the fitting equation suitable for relationship of atmospheric downward infrared radiation to zenith angle was designed, and then the clear sky threshold of typical seasons was determined by statistically analyzing the clear sky infrared radiation samples using fitting equation and TCA was calculated using the clear sky threshold. Feasibility and accurateness of the clear sky threshold method were verified by comparing with the artificial TCA observation data and that the probability of difference within ±2 was higher than 80%, this showed the method has high accurateness and has a good propect in daily TCA observations. |
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| Keywords: | total cloud amount (TCA) clear sky threshold infrared images |
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