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气旋全球导航卫星时延多普勒图的海面测高 被引量:1

Sea surface altimetry performance based on CYGNSS DDM
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摘要 为了探究星载实验条件下全球导航卫星系统(GNSS)L波段反射信号的测高性能,该文利用气旋全球导航卫星系统(CYGNSS)L1级时延多普勒图(DDM)进行了海面高度反演,使用丹麦技术大学(DTU)全球平均海面模型DTU 15和DTU全球海潮模型验证反演精度。以2018年1月8日的一个轨迹为例,经过误差修正之后得到的海面高度的平均绝对误差(MAE)提升了5.4 m;使用小波阈值去噪的方法优化海面高度反演结果,MAE另外增加1.24 m。研究表明,CYGNSS的不同卫星测高结果的MAE最大相差仅10%;卫星姿态和风速对海面高度反演精度无明显影响。对2018—2020年印度尼西亚附近区域和中国南海区域的海面高度进行了反演,相应的反演结果与验证模型的海面高度的相关性分别在99%和95%以上,证明了CYGNSS测量海面高度的有效性。 To explore the measurement performance of L-band reflected signals of global navigation satellite systems(GNSS)under spaceborne experimental conditions,in this paper,the cyclone global navigation satellite system(CYGNSS)L1 delay doppler maps(DDM)was used for sea surface height inversion.The global mean sea level model(DTU 15)and global tide model(DTU)from Technical University of Denmark were used to verify the inversion accuracy.In the case of a track on January 8,2018,the mean absolute error(MAE)of sea surface height was increased by 5.4 m after error correction.Then wavelet threshold denoising method was used to optimize the sea surface height inversion results,and MAE was increased by another 1.24 m.The results showed that the MAE difference of different satellite altimetry results of CYGNSS was only 10%.Satellite attitude and wind speed had no obvious effect on the accuracy of sea surface height inversion.Finally,the sea surface height of the region near Indonesia and the South China Sea from 2018 to 2020 was inverted.The correlation between the inversion results and the sea surface height of the verified model was 99%and 95%,respectively,which proved the effectiveness of CYGNSS measurement of sea surface height.
作者 张云 严梓钰 杨树瑚 孟婉婷 韩彦岭 ZHANG Yun;YAN Ziyu;YANG Shuhu;MENG Wanting;HAN Yanling(College of Information Technology,Shanghai Ocean University,Key Laboratory of FisheryInformation,Ministry of Agriculture,Shanghai201306,China;Shanghai Spaceflight Institute of TT&C and Telecommunication,Shanghai201109,China)
出处 《测绘科学》 CSCD 北大核心 2022年第12期23-32,47,共11页 Science of Surveying and Mapping
基金 国家自然科学基金项目(41871325,42176175) 国家重点研发计划“蓝色粮仓科技创新”重点专项(2019YFD0900805)
关键词 星载GNSS-R CYGNSS DDM 海面高度 小波去噪 space-borne GNSS-R CYGNSS DDM sea surface height wavelet de-noising
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