[1] |
俞小鼎. 短时强降水临近预报的思路与方法[J]. 暴雨灾害, 2013, 32(3):202-209.
|
[2] |
CHRISMAN J, RINDERKNECHT D, HAMILTON R. WSR-88D clutter suppression and its impact on meteorological data interpretation[C]// The First WSR-88D User’s Conference. Norman, OK: WSR-88D Operational Support Facility, 1995:9-20.
|
[3] |
GOSS S M, CHRISMAN J N. An introduction to WSR-88D clutter suppression, and some tips for effective suppression utilization[C]// The First WSR-88D User’s Conference. Norman, OK: 1995:1-16.
|
[4] |
孙召平, 张持岸, 张建云. 一种基于高斯模型的自适应地物杂波滤波算法[J]. 太赫兹科学与电子信息学报, 2013, 11(2):250-253.
|
[5] |
HAYKIN S, DENG C. Classification of radar clutter using neural networks[J]. IEEE Transactions on Neural Networks, 1991, 2(6):589-600.
DOI
URL
|
[6] |
GRECU M, KRAJEWSKI W F. An efficient methodology for detection of anomalous propagation echoes in radar reflectivity data using neural networks[J]. Journal of Atmospheric and Oceanic Technology, 2000, 17(2):121-129.
DOI
URL
|
[7] |
BERENGUER M, SEMPERE-TORRES D, CORRAL C, et al. A fuzzy logic technique for identifying nonprecipitating echoes in radar scans[J]. Journal of Atmospheric and Oceanic Technology, 2006, 23(9):1157-1180.
DOI
URL
|
[8] |
KESSINGER C, ELLIS S, VANANDEL J, et al. The AP clutter mitigation scheme for the WSR-88D[C]// 31st Conference on Radar Meteorology. Seattle, WA: Amer Meteor Soc, 2003:526-529.
|
[9] |
KESSINGER C, ELLIS S, VANANDEL J. P1.6 The radar echo classifier: a fuzzy logic algorithm for the WSR-88D[C]// 3rd Conference on Artificial Intelligence Applications to the Environmental Science. Long Beach, CA: American Meteorological society, 2003:1-11.
|
[10] |
MOSZKOWICZ S, CIACH G J, KRAJEWSKI W F. Statistical detection of anomalous propagation in radar reflectivity patterns[J]. Journal of Atmospheric and Oceanic Technology, 1994, 11(4):1026-1034.
DOI
URL
|
[11] |
SIGGIA A, PASSARELLI R, Jr. Gaussian model adaptive processing (GMAP) for improved ground clutter cancellation and moment calculation[C]// The third European Conference on Radar Meteorology (ERAD). Visby, Sweden, 2004:421-424.
|
[12] |
NGUYEN C M, CHANDRASEKAR V. Gaussian model adaptive processing in time domain (GMAP-TD) for weather radars[J]. Journal of Atmospheric and Oceanic Technology, 2013, 30(11):2571-2584.
DOI
URL
|
[13] |
刘黎平, 吴林林, 杨引明. 基于模糊逻辑的分步式超折射地物回波识别方法的建立和效果分析[J]. 气象学报, 2007, 65(2):252-260.
|
[14] |
江源, 刘黎平, 庄薇. 多普勒天气雷达地物回波特征及其识别方法改进[J]. 应用气象学报, 2009, 20(2):203-213.
|
[15] |
李丰, 刘黎平, 王红艳, 等. C波段多普勒天气雷达地物识别方法[J]. 应用气象学报, 2014, 25(2):158-167.
|
[16] |
杜牧云, 刘黎平, 胡志群, 等. 双线偏振多普勒雷达资料质量分析[J]. 气象学报, 2013, 71(1):146-158.
|
[17] |
吴欢, 黄兴友. X波段双线偏振雷达回波强度衰减和地物回波识别订正[J]. 气象科学, 2014, 34(1):32-38.
|
[18] |
陈艳, 李柏, 何建新, 等. 在天气雷达信号处理器中用IQ信号消减地物杂波[J]. 气象科技, 2015, 43(4):569-575.
|
[19] |
谢丽萍, 王德旺, 黄宁立, 等. 基于云雷达的大气0 ℃层亮带识别[J]. 干旱气象, 2016, 34(3):472-480.
|
[20] |
孙伟, 徐芬. 基于偏度方法的地物杂波识别及去除[J]. 干旱气象, 2018, 36(3):522-528.
|
[21] |
杜言霞, 吴勇凯, 程思, 等. 综合识别法去除风廓线雷达地物杂波的可行性研究[J]. 干旱气象, 2019, 37(1):166-172.
|
[22] |
袁正腾, 陈正洪, 陈英英, 等. SWAN 雷达拼图VIL产品中鄂西南地物回波特征及其剔除方法[J]. 干旱气象, 2014, 32(1):147-150.
|
[23] |
ANDRIEU H, CREUTIN J, DELRIEU G, et al. Use of a weather radar for the hydrology of a mountainous area. Part I: radar measurement interpretation[J]. Journal of Hydrology, 1997, 193(1):1-25.
DOI
URL
|
[24] |
ARCHIBALD E. Enhanced clutter processing for the UK weather radar network[J]. Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere, 2000, 25(10):823-828.
DOI
URL
|
[25] |
DELRIEU G, CREUTIN J D, ANDRIEU H. Simulation of radar mountain returns using a digitized terrain model[J]. Journal of Atmospheric and Oceanic Technology, 1995, 12(5):1038-1049.
DOI
URL
|
[26] |
DJAFRI A, HADDAD B. Mapping of weather radar ground clutter using the digital elevation model (srtm)[J]. Signal & Image Processing, 2012, 3(4):135-151.
|
[27] |
GONZALEZ-RAMIREZ E. Weather radar data analysis oriented to improve the quality of rainfall estimation[D]. Bristol: University of Bristol, 2005.
|
[28] |
RICO-RAMIREZ M A, GONZALEZ-RAMIREZ E, CLUCKIE I, et al. Real-time monitoring of weather radar antenna pointing using digital terrain elevation and a Bayes clutter classifier[J]. Meteorological Applications, 2009, 16(2):227-236.
DOI
URL
|
[29] |
韩雁飞, 吴仁彪, 李海. 基于双门限控制的机载气象雷达地杂波抑制方法[J]. 雷达学报, 2013, 2(1):97-104.
|
[30] |
李壮志, 张尤赛. 基于DEM的雷达地杂波仿真[J]. 计算机仿真, 2007, 24(5):176-178.
|
[31] |
秦娟, 吴仁彪, 苏志刚, 等. 基于地形可视性分析的机载气象雷达地杂波剔除方法[J]. 电子与信息学报, 2012, 34(2):351-355.
|
[32] |
王曙东, 裴翀, 郭志梅, 等. 基于SRTM数据的中国新一代天气雷达覆盖和地形遮挡评估[J]. 气候与环境研究, 2011, 16(4):459-468.
|
[33] |
万玉发, 杨洪平. 多普勒天气雷达站址视程的客观分析技术[J]. 应用气象学报, 2000, 11(4):440-447.
|
[34] |
肖艳姣. 新一代天气雷达三维组网技术及其应用研究[D]. 北京:中国气象科学研究院, 南京: 南京信息工程大学, 2007.
|
[35] |
刘艳. 多普勒天气雷达地物杂波时域和频域抑制研究[D]. 成都: 成都信息工程学院, 2007.
|
[36] |
KADI A P, LOUPAS T. On the performance of regression and step-initialized IIR clutter filters for color Doppler systems in diagnostic medical ultrasound[J]. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 1995, 42(5):927-937.
DOI
URL
|
[37] |
裴旭, 马东立. 等效地球半径法应用中的问题[J]. 北京航空航天大学学报, 2005, 31(4):455-458.
|
[38] |
BLAKE L V. Radar range-performance analysis[M]. Norwood, MA: Artech House, 1980:1-472.
|
[39] |
SeiSman全球地形起伏数据总结[EB/OL] [2022-02-11]. https://blog.seisman.info/global-relief-models/.
|
[40] |
张泉. 中国地区SRTM数据高程误差的分布特征[D]. 西安: 西北大学, 2015.
|
[41] |
刘勇. 中国西北部高山高原地区SRTM3数据质量评价[J]. 兰州大学学报(自然科学版), 2008, 44(6):1-7.
|
[42] |
徐良, 彭光雄, 沈蔚. 基于ArcGIS的SRTM缺失数据修复处理方法[J]. 城市勘測, 2011(1):5-10.
|
[43] |
庄薇, 刘黎平, 胡志群. 青藏高原零度层亮带的识别订正方法及在雷达估测降水中的应用[J]. 气象, 2013, 39(8):1004-1013.
|
[44] |
ZHANG J, LANGSTON C, HOWARD K. Brightband identification based on vertical profiles of reflectivity from the WSR88D[J]. Journal of Atmospheric & Oceanic Technology, 2008, 25(10):1859-1872.
|
[45] |
张乐坚, 程明虎, 陶岚. CINRAD-SA/SB 零度层亮带识别方法[J]. 应用气象学报, 2010, 21(2):171-179.
|
[46] |
杨杰, 刘黎平, 赵城城, 等. 雷达估测对流性降水的误差空间分布及Z-R关系的优化[J]. 高原气象, 2015,(6):1785-1796.
DOI
|