Assessment of reprocessed sea surface height measurements derived from HY-2A radar altimeter and its application to the observation of 2015-2016 El Ni&#241;o

JIANG Maofei; XU Ke; LIU Yalong; ZHAO Jin; WANG Lei

doi:10.1007/s13131-018-1162-z

重处理的海洋二号雷达高度计海面高度测量值评估及其在2015-2016厄尔尼诺观测中的应用

doi: 10.1007/s13131-018-1162-z

1.
中国科学院国家空间科学中心, 中国科学院微波遥感技术重点实验室, 北京, 100190;中国科学院大学, 北京, 100049
2.
中国科学院国家空间科学中心, 中国科学院微波遥感技术重点实验室, 北京, 100190
3.
国家海洋局烟台海洋环境监测中心站, 烟台, 264000

计量
- 文章访问数: 1318
- HTML全文浏览量: 57
- PDF下载量: 495
- 被引次数: 0
出版历程
- 收稿日期: 2017-06-05

Assessment of reprocessed sea surface height measurements derived from HY-2A radar altimeter and its application to the observation of 2015-2016 El Niño

1.
Key Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China;University of Chinese Academy of Sciences, Beijing 100049, China
2.
Key Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
3.
Yantai Marine Environmental Monitoring Center Station, State Oceanic Administration, Yantai 264000, China

摘要

摘要: 海洋二号（HY-2A）是中国第一颗海洋动力环境卫星，雷达高度计是它的主要有效载荷之一。雷达高度计的主要用途是测量海面高度，但是通过雷达高度计最终得到的海面高度包含测距和地球物理校正，这些校正会极大地影响海面高度测量值的精度。本文重新处理了2014年6月1日至2014年6月14日的HY-2A高度计传感器临时地球物理记录（S-IGDR）中的测距和地球物理校正，并且评估了重处理后海面高度测量值的精度。通过重处理Jason-2高度计的测距和地球物理校正并与Jason-2地球物理记录（GDR）中的校正项对比来验证重处理的测距和地球物理校正方法。通过交叉点分析法对重处理的海面高度测量值进行评估，HY-2A自交叉时，交叉点不符值的标准差约为4.53 cm；HY-2A和Jason-2互交叉时，交叉点不符值的标准差约为5.22 cm。重处理的海面高度明显优于HY-2A高度计临时地球物理记录（IGDR）中的海面高度。2015-2016年发生了自1997-1998年以来强度最大的厄尔尼诺事件，本文重处理了HY-2A高度计IGDR数据，并使用海面高度异常值监测2015-2016厄尔尼诺，结果显示HY-2A高度计能够很好地观测2015-2016厄尔尼诺。
- 海洋二号 /
- 雷达高度计 /
- 海面高度 /
- 厄尔尼诺
Abstract: Haiyang-2A (HY-2A) is China’s first ocean dynamic environment satellite and the radar altimeter is one of its main payloads. One of the main purposes of the radar altimeter is to measure the sea surface height (SSH). The SSH determined from the altimeter range measurements includes some range and geophysical corrections. These corrections largely affect the accuracy of the SSH measurements. The range and the geophysical corrections are reprocessed and the altimeter waveforms in HY-2A sensor interim geophysical data set records (S-IGDR) are retracked from June 1, 2014 to June 14, 2014, and the accuracy of the reprocessed SSH measurements is evaluated. The methods of the range and geophysical corrections used to reprocess HY-2A altimeter data are validated by using these methods to reprocess the Jason-2 range and geophysical corrections and comparing the results with the range and geophysical corrections in Jason-2 geophysical dataset records (GDR) product. A crossover analysis is used to evaluate the accuracy of the reprocessed HY-2A SSH measurements. The standard deviation (STD) of the crossover SSH differences for HY-2A is around 4.53 cm while the STD of the SSH differences between HY-2A and Jason-2 is around 5.22 cm. The performance of the reprocessed HY-2A SSH measurements is significantly improved with respect to the SSH measurements derived from HY-2A interim geophysical dataset records (IGDR) product. The 2015-2016 El Niño has been the strongest El Niño event since 1997-1998. The range and the geophysical corrections in HY-2A IGDR are reprocessed and sea level anomalies are used to monitor the 2015-2016 El Niño. The results show that the HY-2A altimeter can well observe the 2015-2016 El Niño.
- HY-2A /
- radar altimeter /
- sea surface height /
- El Niñ

HTML全文

参考文献(45)

Ablain M, Cazenave A, Larnicol G, et al. 2015. Improved sea level record over the satellite altimetry era (1993-2010) from the Climate Change Initiative Project. Ocean Science, 11(1): 67-82

Ablain M, Philipps S, Picot N A, et al. 2010. Jason-2 global statistical assessment and cross-calibration with Jason-1. Marine Geodesy, 33(S1): 162-185

Andersen O B. 1995. Global ocean tides from ERS 1 and TOPEX/POSEIDON altimetry. Journal of Geophysical Research: Oceans, 100(C12): 25249-25259

Andersen O B, Scharroo R. 2011. Range and geophysical corrections in coastal regions: and implications for mean sea surface determination. In: Vignudelli S, Kostianoy A, Cipollini P, et al., eds. Coastal Altimetry. Berlin, Heidelberg: Springer, 103-145

Bao Lifeng, Gao Peng, Peng Hailong, et al. 2015. First accuracy assessment of the HY-2A altimeter sea surface height observations: cross-calibration results. Advances in Space Research, 55(1): 90-105

Carrère L, Faugère Y, Ablain M. 2016. Major improvement of altimetry sea level estimations using pressure-derived corrections based on ERA-Interim atmospheric reanalysis. Ocean Science, 12(3): 825-842

Carrère L, Lyard F. 2003. Modeling the barotropic response of the global ocean to atmospheric wind and pressure forcing-comparisons with observations. Geophysical Research Letters, 30(6): 225-242

Cartwright D E, Edden A C. 1973. Corrected tables of tidal harmonics. Geophysical Journal International, 33(3): 253-264

Cartwright D E, Tayler R J. 1971. New computations of tide-generating potential. Geophysical Journal International, 23(1): 45-73

Chelton D B. 1994. The sea-state bias in altimeter estimates of sea level from collinear analysis of Topex data. Journal of Geophysical Research: Oceans, 99(C12): 24995-25008

Chelton D B, Schlax M G. 1996. Global observations of oceanic Rossby waves. Science, 272(5259): 234-238

Chelton D B, Walsh E J, MacArthur J L. 1989. Pulse compression and sea level tracking in satellite altimetry. Journal of Atmospheric and Oceanic Technology, 6(3): 407-438

Delcroix T, Boulanger J P, Masia F, et al. 1994. Geosat-derived sea level and surface current anomalies in the equatorial Pacific during the 1986-1989 El Niño and La Niña. Journal of Geophysical Research: Oceans, 99(C12): 25093-25107

Dorandeu J, Ablain M, Faugère Y, et al. 2004. Jason-1 global statistical evaluation and performance assessment: calibration and cross-calibration results. Marine Geodesy, 27(3-4): 345-372

Egbert G D, Erofeeva S Y. 2002. Efficient inverse modeling of barotropic ocean tides. Journal of Atmospheric and Oceanic Technology, 19(2): 183-204

Elfouhaily T, Thompson D R, Chapron B, et al. 2000. Improved electromagnetic bias theory. Journal of Geophysical Research: Oceans, 105(C1): 1299-1310

Elfouhaily T, Thompson D R, Chapron B, et al. 2001. Improved electromagnetic bias theory: inclusion of hydrodynamic modulations. Journal of Geophysical Research: Oceans, 106(C3): 4655-4664

Fu L L, Cazenave A. 2001. Satellite Altimetry and Earth Sciences: A Handbook of Techniques and Applications. International Geophysical Series, Vol. 69. San Diego: Academic Press, 1-70

Gaspar P, Florens J P. 1998. Estimation of the sea state bias in radar altimeter measurements of sea level: results from a new nonparametric method. Journal of Geophysical Research: Oceans, 103(C8): 15803-15814

Gaspar P, Labroue S, Ogor F, et al. 2002. Improving nonparametric estimates of the sea state bias in radar altimeter measurements of sea level. Journal of Atmospheric and Oceanic Technology, 19(10): 1690-1707

Gaspar P, Ogor F, Le Traon P Y L, et al. 1994. Estimating the sea state bias of the Topex and Poseidon altimeters from crossover differences. Journal of Geophysical Research: Oceans, 99(C12): 24981-24994

Hirose N, Fukumori I, Zlotnicki V, et al. 2001. Modeling the high-frequency barotropic response of the ocean to atmospheric disturbances: sensitivity to forcing, topography, and friction. Journal of Geophysical Research: Oceans, 106(C12): 30987-30995

Imel D A. 1994. Evaluation of the Topex/Poseidon dual-frequency ionosphere correction. Journal of Geophysical Research: Oceans, 99(C12): 24895-24906

Jiang Maofei, Xu Ke, Liu Yalong, et al. 2016. Estimating the sea state bias of Jason-2 altimeter from crossover differences by using a three-dimensional nonparametric model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(11): 5023-5043

Jiang Maofei, Xu Ke, Liu Yalong, et al. 2017. Estimating the time tag bias of HY-2A radar altimeter and its application to dual-frequency ionosphere correction. Marine Geodesy, 40(6): 361-377

Komjathy A, Sparks L, Wilson B D, et al. 2005. Automated daily processing of more than 1000 ground-based GPS receivers for studying intense ionospheric storms. Radio Science, 40(6): 1-11

Labroue S, Gaspar P, Dorandeu J, et al. 2004. Nonparametric estimates of the sea state bias for the Jason-1 radar altimeter. Marine Geodesy, 27(3-4): 453-481

Legeais L, Ablain M, Thao S. 2014. Evaluation of wet troposphere path delays from atmospheric reanalyses and radiometers and their impact on the altimeter sea level. Ocean Science, 10(6): 893-905

Naenna P. 2011. Numerical and analytical studies of the electromagnetic bias in satellite altimetry [dissertation]. Columbus: The Ohio State University

Ngodock H E, Souopgui I, Wallcraft A J, et al. 2016. On improving the accuracy of the M2 barotropic tides embedded in a high-resolution global ocean circulation model. Ocean Modelling, 97: 16-26

Pascual A, Marcos M, Gomis D. 2008. Comparing the sea level response to pressure and wind forcing of two barotropic models: validation with tide gauge and altimetry data. Journal of Geophysical Research: Oceans, 113(C7): 141-162

Peng Hailong, Lin Mingsen, Mu Bo, et al. 2015. Global statistical evaluation and performance analysis of HY-2A satellite radar altimeter data. Haiyang Xuebao (in Chinese), 37(7): 54-66

Picaut J, Hackert E, Busalacchi A J, et al. 2002. Mechanisms of the 1997-1998 El Niño-La Niña, as inferred from space-based observations. Journal of Geophysical Research: Oceans, 107(C5): 5-1-5-18

Prandi P, Philipps S, Pignot V, et al. 2015. SARAL/AltiKa global statistical assessment and cross-calibration with Jason-2. Marine Geodesy, 38(S1): 297-312

Schaeffer P, Faugére Y, Legeais J F, et al. 2012. The CNES_CLS11 global mean sea surface computed from 16 years of satellite altimeter data. Marine Geodesy, 35(S1): 3-19

Thibaut P, Poisson J C, Bronner E, et al. 2010. Relative performance of the MLE3 and MLE4 retracking algorithms on Jason-2 altimeter waveforms. Marine Geodesy, 33(S1): 317-335

Tran N, Labroue S, Philipps S, et al. 2010a. Overview and update of the sea state bias corrections for the Jason-2, Jason-1 and TOPEX missions. Marine Geodesy, 33(S1): 348-362

Tran N, Vandemark D, Chapron B, et al. 2006. New models for satellite altimeter sea state bias correction developed using global wave model data. Journal of Geophysical Research: Oceans, 111(C9): 141-152

Tran N, Vandemark D, Labroue S, et al. 2010b. Sea state bias in altimeter sea level estimates determined by combining wave model and satellite data. Journal of Geophysical Research: Oceans, 115(C3): C03020

Tseng K H, Shum C K, Yi Yuchan, et al. 2010. Regional validation of Jason-2 dual-frequency ionosphere delays. Marine Geodesy, 33(S1): 272-284

Wahr J M. 1985. Deformation induced by polar motion. Journal of Geophysical Research: Solid Earth, 90(11): 9363-9368

Wang Lei, Xu Ke, Liu Peng, et al. 2013a. An echo model for big antenna mispointing angle and its application in HY-2A radar altimeter. Acta Electronica Sinica (in Chinese), 41(9): 1836-1841

Wang Lei, Xu Ke, Xu Xiyu, et al. 2013b. A new method for computing radar altimeter look-up correction table and its application. Journal of Electronics and Information Technology (in Chinese), 35(4): 908-914

Zhang Dehai, Wang Zhenzhan, Li Yun, et al. 2015. Preliminary analysis of HY-2 ACMR data. In: Proceedings of 2015 IEEE International Geoscience and Remote Sensing Symposium. Milan, Italy: IEEE, 177-180

Zheng Gang, Yang Jingsong, Ren Lin. 2014. Retrieval models of water vapor and wet tropospheric path delay for the HY-2A calibration microwave radiometer. Journal of Atmospheric and Oceanic Technology, 31(7): 1516-1528

施引文献

资源附件(0)

访问统计

点击查看大图

计量

文章访问数: 1318
HTML全文浏览量: 57
PDF下载量: 495
被引次数: 0

重处理的海洋二号雷达高度计海面高度测量值评估及其在2015-2016厄尔尼诺观测中的应用

doi: 10.1007/s13131-018-1162-z

计量

出版历程

Assessment of reprocessed sea surface height measurements derived from HY-2A radar altimeter and its application to the observation of 2015-2016 El Niño

计量

出版历程

目录