共查询到20条相似文献，搜索用时 125 毫秒
1.
???Lipschitz??????????????????????????????С???任???Lipschitz????????????????????С???任?????????и????????????λ?????????С??????????????????????????????????????????????????????????????????????????С?????????????????????????????Ч??? 相似文献
2.
????????????????????????????????????????????????????????????36???360???2 160????????????????????????????????????36???360???EGM96??EGM2008??????????????????????????????????????????????????????????????????????????????????????????????????????????EGM96??EGM2008???????????????????????????????????????????EGM2008????????????EGM96???? 相似文献
3.
??????????????????????????????????????????????????????????????????????????????????????ο???λ???????????????????С?????????????????????SAR???洦???е??????????????????????С??????ο???λ??????? 相似文献
4.
????????????????????????????????????????????????SymletС?????????о?????????????????????????????????????, ???????????4???5??????????????????????????????????????2???3????????????????????????????????????????????ε????????????????ο??? 相似文献
5.
��ǰ�����TEC�쳣���� 总被引：11，自引：4，他引：7
?????????????????????GPS?????λ????????????????????50???VTEC??????????????з??????????15???VTEC???1.5??????????????????????????飬??????????????????????? 相似文献
6.
????JPL DE?????????洢??????????????????????????????????DE??????????????????????????20???DE406?????????????369 kb????????1/6????GPS??????????ü???DE????????????????????飬?????????60?????????????????????3 m???ü??????????????????????????????????????????????С?????????洢??????????????????????Ч??? 相似文献
7.
��ƫ�������ǵĹ�ʽ�Ƶ������� 总被引：3，自引：1，他引：2
??????λ?????淽λ?????????????????????????????????γ???????????????????????????????й??????γ???Χ????????????????????м??????????????????澭???γ??????仯???ɡ? 相似文献
8.
???ü???GNSS????10??????????????????GPS????????????????????????仯???μ????????仯???????????????????????????仯????????????????????????????????С?????????м?????????п??????Ч????????????????????????????????????????????? 相似文献
9.
��Oracle XML DB��XML�洢�������о� 总被引：1，自引：0，他引：1
XML???W3C????????????????????????????Web????????????????????????????Web Service?????????XML???????????????????????洢????XML????????????????????????????????????????Ч??XML?????????????????????????????????Oracle ????????Oracle XML DB???????о???XML DB??3??XML?洢???????洢??????????Ч?????????3??洢?????????????????洢XML???ο??? 相似文献
10.
王乐洋 《大地测量与地球动力学》2013,33(3):106-110
??????????С????????о???????(??)??????????????????????????????????????????????????????????????????????????????ü???λ??????????????(??)????????????С???????????????????????????????????м???в??????????????????????????м???????????????????????????????????????????????????С??????????????????????????????????????????????????????С???????????С?????????????????????????????????С????????о???????????????????Ч??? 相似文献
11.
??TOPEX/Poseidon????????????Χ???????ν??з??????ó?????:?????????????Χ???????????ε?????;????????????????????ζ??????????,????????????????????????????????????????????? 相似文献
12.
????13??T/P???????????????????????????????????????????????????????????????????????????????????Ubari-Murzuq????????????????????????????????????????′????????????????????????С?????Ku???κ?C???ι?????????????????????????????Ｐ???????仯?????? 相似文献
13.
Evaluating and correcting rain effects on dual-frequency altimeter Jason-1 wind measurements 总被引：1，自引：0，他引：1
Rain is one of the main sources of error in dual-frequency altimeter Jason-1 wind measurement. In this study, a new radar altimeter backscatter model is proposed and validated to eliminate rain effects. The model takes into account attenuation, volume backscattering, and sea surface perturbation by raindrops under rain conditions. A match-up dataset is built to evaluate rain effects, in combination with the Jason-1 normalized radar cross section, precipitation radar data from the Tropical Rainfall Measuring Mission, and sea surface wind reanalysis data from the European Centre for Medium-Range Weather Forecasts. The results show that rain-induced surface perturbation backscatter increases with rain rate at Ku-band, but their correlation at C-band is poor. In addition, rain surface perturbation and attenuation have major effects onradar altimeter wind measurements. Finally, a rain correction model for Jason-1 winds is developed and validation results prove its ability to reduce rain-induced inaccuracies in wind retrievals. 相似文献
14.
对两颗太阳同步轨道测高卫星ERS-2和Envisat 1995～2010年169个重复周期（共近15 a）的数据进行沿轨正交响应分析，得到中国海及西太平洋地区的海洋潮汐调和常数，并利用交叉点位置上升轨迹与下降轨迹提取的潮汐信息和验潮站数据分析了结果的准确度。结果表明，除S2、K1分潮外，基于ERS-2和Envisat测高卫星能够提取出可靠和分布合理的潮汐调和常数，结合交叉轨迹与邻近地面轨迹将有效改善采样规律和观测样本数量，进一步提高潮汐参数的准确度。 相似文献
15.
���ò�������о��ϼ����Ṉ̀߳仯 总被引：1，自引：0，他引：1
??2002??2006???ENVISAT??????????λ???????й???????????????????3?????????????????????ENVISAT??DEM????RAMP??DEM?????????????18 m???????????????????????????????????????仯??????????????????????仯????????(-0.31 ~0.17 m)?? 相似文献
16.
Shuiqing Li Liangming Zhou Zhanbin Li Qingsheng Miao Lin Mou Aifang Wang 《中国海洋大学学报(英文版)》2014,13(4):579-583
The altimeter normalized radar cross section(NRCS) has been used to retrieve the sea surface wind speed for decades, and more than a dozen of wind speed retrieval algorithms have been proposed. Despite the continuing efforts to improve the wind speed measurements, a bias dependence on wave state persists in all wind algorithms. On the basis of recent evidence that short waves are essentially modulated by local winds and much less affected by wave state, we proposed a physics-based approach to retrieve the wind speed from the dual-frequency difference in terms of the mean square slope of short waves. A collocated dataset of coincident altimeter/buoy measurements were used to develop and validate the approach. Validation against buoy measurements indicates that the approach is almost unbiased and has an overall root mean square error of 1.24 m s-1, which is 5.3% lower than the single-parameter algorithm in operational use(Witter and Chelton, 1991) and 2.4% lower than another dual-frequency approach(Chen et al., 2002). Furthermore, the results indicate that the new approach significantly improves the wave-dependent bias compared to the single-parameter algorithm. The capacity of altimeter to retrieve sea surface wind speed appears to be limited for the case of winds below 3 m s-1. The validity of the approach at high winds needs to be further examined in the future study. 相似文献
17.
The rate of regional sea level rise(SLR) provides important information about the impact of human activities on climate change.However,accurate estimation of regional SLR can be severely affected by sea surface height(SSH) change caused by the Pacific Decadal Oscillation(PDO-SSH).Here,the PDOSSH signal is extracted from satellite altimeter data by multi-variable linear regression,and regional SLR in the altimeter era is calculated,before and after removing that signal.The results show that PDO-SSH trends are rising in the western Pacific and falling in the eastern Pacific,with the strongest signal confined to the tropical and North Pacific.Over the past 20 years,the PDO-SSH accounts for about 30%-40%of altimeter-observed SLR in the regions 8°-15°N,130°-160°E and 30°-40°N,170°-220°E.Along the coast of North America,the PDO-SSH signal dramatically offsets the coastal SLR,as the sea level trends change sign from falling to rising. 相似文献
18.
????JASON-1??????????????????????????????????????????????????????????????????????????????????????????-5~5 mm???????????????10 cm????????????????????????????????????????????????????(???????????????????)?? 相似文献
19.
??????????????????о????????????????????????????????????????????????????????????????С????????????????????????????????????????????????????ξ????????η??????????????????????FFT?????????????????????????????????????????????????????????????????????????????????????????????????????????????????б??????????????±5.231 58 mGal???????????????????EGM96??EGM2008???????????б?????????????????±0.694 57 m??±0.029 51 m?? 相似文献
20.
毫米波雷达适合降水云的水凝粒子的观测,设备轻便且空间分辨率和角度分辨率较高,可用于机载或星载等对有效载荷要求苛刻且关注云雨探测的应用,因而毫米波雷达在气象科学研究中备受关注。在成都地区进行了Ka波段雷达弱降水累积雨量的观测,采用了HTI(高度时间显示)观测模式,分析了雷达测量降水的方法,联合雨量计对比了Z-R关系与衰减法计算累计降水量的效果,并通过测量误差拟合调整经验参数,减小了估测误差。 相似文献