JIANG Maofei, XU Ke, LIU Yalong, ZHAO Jin, WANG Lei. Assessment of reprocessed sea surface height measurements derived from HY-2A radar altimeter and its application to the observation of 2015-2016 El Niño[J]. Acta Oceanologica Sinica, 2018, 37(1): 115-129. doi: 10.1007/s13131-018-1162-z
Citation: JIANG Maofei, XU Ke, LIU Yalong, ZHAO Jin, WANG Lei. Assessment of reprocessed sea surface height measurements derived from HY-2A radar altimeter and its application to the observation of 2015-2016 El Niño[J]. Acta Oceanologica Sinica, 2018, 37(1): 115-129. doi: 10.1007/s13131-018-1162-z

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

doi: 10.1007/s13131-018-1162-z
  • Received Date: 2017-06-05
  • 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.
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  • 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
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