Volume 39 Issue 12
Jan.  2021
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Youguang Zhang, Qingliu Bao, Mingsen Lin, Shuyan Lang. Wind speed inversion and in-orbit assessment of the imaging altimeter on Tiangong-2 space station[J]. Acta Oceanologica Sinica, 2020, 39(12): 114-120. doi: 10.1007/s13131-020-1687-9
Citation: Youguang Zhang, Qingliu Bao, Mingsen Lin, Shuyan Lang. Wind speed inversion and in-orbit assessment of the imaging altimeter on Tiangong-2 space station[J]. Acta Oceanologica Sinica, 2020, 39(12): 114-120. doi: 10.1007/s13131-020-1687-9

Wind speed inversion and in-orbit assessment of the imaging altimeter on Tiangong-2 space station

doi: 10.1007/s13131-020-1687-9
Funds:  The National Key Research and Development Program of China under contract No. 2016YFC1401002; the Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) under contract No. GML2019ZD0302; the National Natural Science Foundation of China under contract No. 41606202.
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  • Corresponding author: E-mail: baoqingliu@piesat.cn
  • Received Date: 2019-07-01
  • Accepted Date: 2019-12-17
  • Available Online: 2021-04-21
  • Publish Date: 2020-12-25
  • Imaging altimeter (IALT) is a new type of radar altimeter system. In contrast to the conventional nadir-looking altimeters, such as HY-2A altimeter, Jason-1/2, and TOPEX/Poseidon, IALT observes the earth surface at low incident angles (2.5°–8°), so its swath is much wider and its spatial resolution is much higher than the previous altimeters. This paper presents a wind speed inversion method for the recently launched IALT onboard Tiangong-2 space station. Since the current calibration results of IALT do not agree well with the well-known wind geophysical model function at low incidence angles, a neural network is used to retrieve the ocean surface wind speed in this study. The wind speed inversion accuracy is evaluated by comparing with the ECMWF reanalysis wind speed, buoy wind speed, and in-situ ship measurements. The results show that the retrieved wind speed bias is about –0.21 m/s, and the root-mean-square (RMS) error is about 1.85 m/s. The wind speed accuracy of IALT meets the performance requirement.
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  • [1]
    Apel J R. 1994. An improved model of the ocean surface wave vector spectrum and its effects on radar backscatter. Journal of Geophysical Research: Oceans, 99(C8): 16269–16291. doi: 10.1029/94JC00846
    [2]
    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
    [3]
    Bao Qingliu, Zhang Youguang, An Wentao, et al. 2016a. Sea surface wind speed inversion using low incident NRCS. In: Proceedings of 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Beijing: IEEE, 4619–4622
    [4]
    Bao Qingliu, Zhang Youguang, Lang Shuyan, et al. 2016b. Sea surface wind speed inversion using the low incident NRCS measured by TRMM precipitation radar. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(11): 5262–5271. doi: 10.1109/JSTARS.2016.2581215
    [5]
    Barrick D. 1974. Wind dependence of quasi-specular microwave sea scatter. IEEE Transactions on Antennas and Propagation, 22(1): 135–136. doi: 10.1109/TAP.1974.1140736
    [6]
    Brown G S. 1990. Quasi-Specular scattering from the air-sea interface. In: Geernaert G L, Plant W L, eds. Surface Waves and Fluxes. Dordrecht: Springer, 1–39
    [7]
    Cox C, Munk W. 1954. Statistics of the sea surface derived from sun glitter. Journal of Marine Research, 13(2): 198–227
    [8]
    Fan Chenqing, Zhang Jie, Meng Junmin, et al. 2014. Significant wave height operational inversion algorithm of HY-2A altimeter. Haiyang Xuebao (in Chinese), 36(3): 121–126
    [9]
    Freilich M H, Vanhoff B A. 2003. The relationship between winds, surface roughness, and radar backscatter at low incidence angles from TRMM precipitation radar measurements. Journal of Atmospheric and Oceanic Technology, 20(4): 549–562
    [10]
    Hesany V, Plant W J, Keller W C. 2004. The normalized radar cross section of the sea at 10° incidence. IEEE Transactions on Geoscience and Remote Sensing, 38(1): 64–72
    [11]
    Holliday D, St-Cyr G, Woods N E. 1986. A radar ocean imaging model for small to moderate incidence angles. International Journal of Remote Sensing, 7(12): 1809–1834. doi: 10.1080/01431168608948971
    [12]
    Kozu T, Kawanishi T, Kuroiwa H, et al. 2001. Development of precipitation radar onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. IEEE Transactions on Geoscience and Remote Sensing, 39(1): 102–116. doi: 10.1109/36.898669
    [13]
    Li Li, Im E, Connor L N, et al. 2004. Retrieving ocean surface wind speed from the TRMM Precipitation Radar measurements. IEEE Transactions on Geoscience and Remote Sensing, 42(6): 1271–1282. doi: 10.1109/TGRS.2004.828924
    [14]
    Lin Wenming, Portabella M, Stoffelen A, et al. 2014. Rain identification in ASCAT winds using singularity analysis. IEEE Geoscience and Remote Sensing Letters, 11(9): 1519–1523. doi: 10.1109/LGRS.2014.2298095
    [15]
    Lin Wenming, Portabella M, Stoffelen A, et al. 2015. ASCAT wind quality control near rain. IEEE Transactions on Geoscience and Remote Sensing, 53(8): 4165–4177. doi: 10.1109/TGRS.2015.2392372
    [16]
    Tsai W T, Spencer M, Wu C, et al. 2000. SeaWinds on QuikSCAT: sensor description and mission overview. In: Proceedings of IEEE 2000 International Geoscience and Remote Sensing Symposium, Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Honolulu: IEEE, 1021–1023
    [17]
    Valenzuela G R. 1978. Theories for the interaction of electromagnetic and oceanic waves: A review. Boundary-Layer Meteorology, 13(1): 61–85
    [18]
    Xu Yuan, Yang Jingsong, Zheng Gang, et al. 2014. Calibration and verification of sea surface wind speed from satellite altimeters. Haiyang Xuebao (in Chinese), 36(7): 125–132
    [19]
    Zhang Yunhua, Zhang Xiangkun, Meng Xin, et al. 2007. An interferometric imaging altimeter applied for both ocean and land observation. In: Proceedings of 2007 IEEE International Geoscience and Remote Sensing Symposium. Barcelona: IEEE, 3821–3824
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