| TRMM星载测雨雷达和地基雷达反射率因子数据的三维融合 |
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| 引用本文： | 寇蕾蕾,楚志刚,李南,王振会.TRMM星载测雨雷达和地基雷达反射率因子数据的三维融合[J].气象学报,2016,74(2):285-297. |
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| 作者姓名： | 寇蕾蕾 楚志刚 李南 王振会 |
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| 作者单位： | 1.南京信息工程大学气象灾害预警与评估协同创新中心, 中国气象局气溶胶与云降水重点实验室, 南京, 210044 |
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| 基金项目： | 公益性行业科研专项(GYHY201306078)、国家自然科学基金(41301399、41275043)和江苏高校优势学科建设工程资助项目(PAPD)。 |
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| 摘 要： | TRMM卫星上的测雨雷达(TRMMPR)探测资料分布均匀且具有很高的垂直分辨率,但灵敏度较低;地基雷达(GR)水平分辨率较高且具有较高的灵敏度,但其垂直分辨率低。通过将TRMM PR与GR反射率因子数据的三维数据融合,得到了更优的反射率因子图像。测雨雷达与地基雷达三维数据融合主要分为以下几步:测雨雷达与地基雷达数据预处理——如去杂波、衰减校正;测雨雷达与地基雷达时空匹配;选取和应用合适的三维图像融合算法;对融合后的图像进行效果评估。试验结果表明:融合后的图像不仅增大了信息量,更好地检测弱降水,还提高了空间三维(3D)分辨率,能更好地反映降水区域细节,且使得数据总体上具有更高的完整性和可靠性。此外,还将基于雷达资料估测的降水数据与地面雨量计数据进行对比,估计反射率因子数据融合在降水测量上的有效性。
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| 关 键 词： | 星载测雨雷达 地基雷达 三维融合 时空匹配 |
| 收稿时间： | 2015/5/14 0:00:00 |
| 修稿时间： | 2016/1/22 0:00:00 |
Three-dimensional fusion of reflectivity factor of TRMM precipitation radar and ground-based radar |
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| KOU Leilei,CHU Zhigang,LI Nan and WANG Zhenhui.Three-dimensional fusion of reflectivity factor of TRMM precipitation radar and ground-based radar[J].Acta Meteorologica Sinica,2016,74(2):285-297. |
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| Authors: | KOU Leilei CHU Zhigang LI Nan and WANG Zhenhui |
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| Institution: | 1.Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory of Aerosol-Cloud Precipitation of China Meteorological Administration, University of Nanjing Information Science and Technology, Nanjing 210044, China2.School of Atmospheric Physics, University of Nanjing Information Science and Technology, Nanjing 210044, China |
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| Abstract: | TRMM satellite precipitation radar (PR) can provide complete and accurate data with high vertical resolution, but it has a weakness of low sensitivity. Ground-based radar (GR) has a relatively good capability to detect weak precipitation and its horizontal resolution is high, but it has a weakness of low vertical resolution. We propose to combine PR and GR data by three-dimensional (3D) fusion of reflectivity factor to get optimal images. Integrating PR and GR reflectivity data mainly includes following steps: Preprocessing of PR and GR data such as clutter removing and attenuation correction, spatial-temporal matchup of PR and GR data, image fusion algorithms selection and application, and quality evaluation of the fused images. It is found from the reflectivity factor image fusion that the fused images have improved 3D spatial resolution and gain finer precipitation structure, have a higher sensitivity to detect precipitation and effectively increase the amount of information, and the data are more complete and reliable as a whole. Besides, rainfall from the radar data and the rain gauge are compared in this study, and the rainfall estimation from the fused reflectivity factor images are evaluated. |
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| Keywords: | TRMM satellite precipitation radar (TRMMPR) Ground-based radar (GR) Three-dimensional (3D) fusion Spatial-temporal matchup |
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