Effect of random phase error and baseline roll angle error on eddy identification by interferometric imaging altimeter

Le GAO; Hanwei SUN; Jifeng QI; Qiufu JIANG

doi:10.1007/s00343-020-0044-3

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Effect of random phase error and baseline roll angle error on eddy identification by interferometric imaging altimeter

Physics | Updated：2023-05-19

- Effect of random phase error and baseline roll angle error on eddy identification by interferometric imaging altimeter
- Journal of Oceanology and Limnology Vol. 40, Issue 5, Pages: 1881-1888(2022)
- Affiliations：
  
  1.CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences and Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
  2.Beijing Radio Measurement Institute, Beijing 100854, China
  3.Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China
- Author bio：
  
  Hanwei SUN,sunhw12@tsinghua.org.cn
- Funds：
- DOI：10.1007/s00343-020-0044-3
  CLC：
- Received：22 January 2020，
  
  Accepted：22 March 2020，
  
  Online First：26 April 2020，
  
  Published：2022-09
- Accepted：
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Le GAO, Hanwei SUN, Jifeng QI, et al. Effect of random phase error and baseline roll angle error on eddy identification by interferometric imaging altimeter[J]. Journal of Oceanology and Limnology, 2022, 40(5): 1881-1888.
DOI：

Le GAO, Hanwei SUN, Jifeng QI, et al. Effect of random phase error and baseline roll angle error on eddy identification by interferometric imaging altimeter[J]. Journal of Oceanology and Limnology, 2022, 40(5): 1881-1888. DOI： 10.1007/s00343-020-0044-3.

摘要

Abstract

To achieve better observation for sea surface

a new generation of wide-swath interferometric altimeter satellites is proposed. Before satellite launch

it is particularly important to study the data processing methods and carry out the detailed error analysis of ocean satellites

because it is directly related to the ultimate ability of satellites to capture ocean information. For this purpose

ocean eddies are considered a specific case of ocean signals

and it can cause significant changes in sea surface elevation. It is suitable for theoretical simulation of the sea surface and systematic simulation of the altimeter. We analyzed the impacts of random error and baseline error on the sea surface and ocean signals and proposed a combined strategy of low-pass filtering

empirical orthogonal function (EOF) decomposition

and linear fitting to remove the errors. Through this strategy

sea surface anomalies caused by errors were considerably improved

and the capability of satellite for capturing ocean information was enhanced. Notably

we found that the baseline error in sea surface height data was likely to cause inaccuracy in eddy boundary detection

as well as false eddy detection. These abnormalities could be prevented for "clean" sea surface height after the errors removal.

关键词

Keywords

references

Chelton D B, Schlax M G, Samelson R M. 2011. Global observations of nonlinear mesoscale eddies. Progress in Oceanography , 91 (2): 167–216, https://doi.org/10.1016/j.pocean.2011.01.002.

Chen G X, Hou Y J, Chu X Q. 2011. Mesoscale eddies in the South China Sea: mean properties, spatiotemporal variability, and impact on thermohaline structure. Journal of Geophysical Research: Oceans , 116 (C6): C06018, https://doi.org/10.1029/2010JC006716.

Chen G, Tang J W, Zhao C F, Wu S H, Yu F J, Ma C Y, Xu Y S, Chen W B, Zhang Y H, Liu J, Wu L X. 2019. Concept design of the "Guanlan" science mission: China's novel contribution to space oceanography. Frontiers in Marine Science , 6 : 194, https://doi.org/10.3389/fmars.2019.00194

Cumming I G, Wong F H. 2005. Digital Processing of Synthetic Aperture Radar Data: algorithms and Implementation. Artech House, Boston. 625p.

Fu L L, Alsdorf D, Morrow R, Rodriguez E, Mognard N. 2012. SWOT: the Surface Water and Ocean Topography Mission: Wide-Swath Altimetric Elevation on Earth. Jet Propulsion Laboratory, National Aeronautics and Space Administration, Pasadena. http://hdl.handle.net/2014/41996 http://hdl.handle.net/2014/41996 .

Fu L L, Ubelmann C. 2014. On the transition from profile altimeter to swath altimeter for observing global ocean surface topography. Journal of Atmospheric and Oceanic Technology , 31 (2): 560–568.

Gaultier L, Ubelmann C, Fu L L. 2016. The challenge of using future SWOT data for oceanic field reconstruction. Journal of Atmospheric and Oceanic Technology , 33 (1): 119–126.

Isern-Fontanet J, García-Ladona E, Font J. 2003. Identification of marine eddies from altimetric maps. Journal of Atmospheric and Oceanic Technology , 20 (5): 772–778, https://doi.org/10.1175/1520-0426(2003)20 < 772:IOMEFA > 2.0.CO;2.

Jin G W, Xu Q, Zhang H M. 2014. Synthetic Aperture Radar Interferometry. National Defend Industry Press, Beijing. (in Chinese)

Kong W Y, Chong J S, Tan H. 2017. Performance analysis of ocean surface topography altimetry by Ku-Band near-nadir interferometric SAR. Remote Sensing , 9 (9): 933, https://doi.org/10.3390/rs9090933

Li X F, Pietrafesa L, Lan S F, Xie L A. 2000. Significance test for Empirical Orthogonal Function (EOF) analysis of meteorological and oceanic data. Chinese Journal of Oceanology and Limnology , 18 (1): 10–17, https://doi.org/10.1007/BF02842536

Liu Y J, Chen G, Sun M, Liu S, Tian F L. 2016. A parallel SLA-based algorithm for global mesoscale eddy identification. Journal of Atmospheric and Oceanic Technology , 33 (12): 2743–2754, https://doi.org/10.1175/JTECH-D-16-0033.1

Mason E, Pascual A, McWilliams J C. 2014. A new sea surface height-based code for oceanic mesoscale eddy tracking. Journal of Atmospheric and Oceanic Technology , 31 (5): 1181–1188, https://doi.org/10.1175/JTECH-D-14-00019.1

Nan F, Xue H J, Chai F, Shi L, Shi M C, Guo P F. 2011. Identification of different types of Kuroshio intrusion into the South China Sea. Ocean Dynamics , 61 (9): 1291–1304, https://doi.org/10.1007/s10236-011-0426-3.

Penna A D, Gaube P. 2019. Overview of (sub) mesoscale ocean dynamics for the NAAMES field program. Frontiers in Marine Science , 6 : 384, https://doi.org/10.3389/fmars.2019.00384.

Qiu B, Chen S M, Klein P, Sasaki H, Sasai Y. 2014. Seasonal mesoscale and submesoscale eddy variability along the north pacific subtropical countercurrent. Journal of Physical Oceanography , 44 (12): 3079–3098, https://doi.org/10.1175/JPO-D-14-0071.1

Qiu B, Chen S M, Klein P, Ubelmann C, Fu L L, Sasaki H. 2016. Reconstructability of three-dimensional upper-ocean circulation from SWOT sea surface height measurements. Journal of Physical Oceanography , 46 (3): 947–963.

Shchepetkin A F, McWilliams J C. 2005. The regional oceanic modeling system (ROMS): a split-explicit, free-surface, topography-following-coordinate oceanic model. Ocean Modelling , 9 (4): 347–404, https://doi.org/10.1016/j.ocemod.2004.08.002.

Sun B W, Liu C Y, Wang F. 2019. Global meridional eddy heat transport inferred from Argo and altimetry observations. Scientific Reports , 9 : 1345, https://doi.org/10.1038/s41598-018-38069-2

Vandemark D, Chapron B, Feng H, Mouche A. 2016. Sea surface reflectivity variation with ocean temperature at Ka-band observed using near-nadir satellite radar data. IEEE Geoscience and Remote Sensing Letters , 13 (4): 510–514, https://doi.org/10.1109/LGRS.2016.2520823.

Wang X D, Li W, Qi Y Q, Han G J. 2012. Heat, salt and volume transports by eddies in the vicinity of the Luzon Strait. Deep Sea Research Part Ⅰ: Oceanographic Research Papers , 61 : 21–33, https://doi.org/10.1016/j.dsr.2011.11.006.

Wenzel M, Schröter J. 2014. Global and regional sea level change during the 20th century. Journal of Geophysical Research — Oceans , 119 (11): 7493–7508, https://doi.org/10.1002/2014JC009900

Xu Y S, Gao L, Zhang Y H. 2017. New generation altimetry satellite SWOT and its reference to China's swath altimetrysatellite. Remote Sensing Technology and Application , 32 (1): 84–94, https://doi.org/10.11873/j.issn.1004-0323.2017.1.0084. (in Chinese)

Zeng D Z, Sun H W, Zeng T, Long T. 2010. A high accuracy method for interference fringes suppression in SAR distributed targets' raw data simulation. In: 2010 IEEE International Geoscience and Remote Sensing Symposium. IEEE, Honolulu. p. 4675–4678, https://doi.org/10.1109/IGARSS.2010.5651373 https://doi.org/10.1109/IGARSS.2010.5651373 .

Zhang Y J, Hu C M, Liu Y G, Weisberg R H, Kourafalou V H. 2019. Submesoscale and mesoscale eddies in the Florida Straits: observations from satellite ocean color measurements. Geophysical Research Letters , 46 (22): 13262–13270, https://doi.org/10.1029/2019GL083999.

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