Volume 40 Issue 3
Apr.  2021
Turn off MathJax
Article Contents
Wenyan Sui, Junru Guo, Jun Song, Zhiliang Liu, Meng Wang, Xibin Li, Yanzhao Fu, Yongquan Li, Yu Cai, Linhui Wang, Lingli Li, Xiaofang Guo, Wenting Zuo. The construction of high precision geostrophic currents based on new gravity models of GOCE and satellite altimetry data[J]. Acta Oceanologica Sinica, 2021, 40(3): 142-152. doi: 10.1007/s13131-021-1707-4
Citation: Wenyan Sui, Junru Guo, Jun Song, Zhiliang Liu, Meng Wang, Xibin Li, Yanzhao Fu, Yongquan Li, Yu Cai, Linhui Wang, Lingli Li, Xiaofang Guo, Wenting Zuo. The construction of high precision geostrophic currents based on new gravity models of GOCE and satellite altimetry data[J]. Acta Oceanologica Sinica, 2021, 40(3): 142-152. doi: 10.1007/s13131-021-1707-4

The construction of high precision geostrophic currents based on new gravity models of GOCE and satellite altimetry data

doi: 10.1007/s13131-021-1707-4
Funds:  The Open Fund of Key Laboratory of Marine Environmental Information Technology; the Open Foundation of Technology Innovation Center for Marine Information, Ministry of Natural Resources; the Liao Ning Revitalization Talents Program under contract No. XLYC1807161; the Dalian High-level Talents Innovation Support Plan under contract No. 2017RQ063; the National Natural Science Foundation of China under contract Nos 41206013 and 41430963; the Scientific Research Project of Liaoning Province Department of Education under contract No. QL201905; the Projects of Institute of Marine Industry Technology of Liaoning Universities; the grant from Key R&D Program of Liaoning Province under contract No. 2019JH2/10200015; the Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) under contract No. GML2019ZD0402; the Shandong Provincial Key Research and Development Program (SPKR&DP) under contract No. 2019JZZY020713.
More Information
  • Corresponding author: E-mail: songjun2017@dlou.edu.cn
  • Received Date: 2020-04-09
  • Accepted Date: 2020-06-03
  • Available Online: 2021-04-30
  • Publish Date: 2021-04-30
  • The new gravity field models of gravity field and steady-state ocean circulation explorer (GOCE), TIM_R6 and DIR_R6, were released by the European Space Agency (ESA) in June 2019. The sixth generation of gravity models have the highest possible signal and lowest error levels compared with other GOCE-only gravity models, and the accuracy is significantly improved. This is an opportunity to build high precision geostrophic currents. The mean dynamic topography and geostrophic currents have been calculated by the 5th (TIM_R5 and DIR_R5), 6th (TIM_R6 and DIR_R6) release of GOCE gravity field models and ITSG-Grace2018 of GRACE gravity field model in this study. By comparison with the drifter results, the optimal filtering lengths of them have been obtained (for DIR_R5, DIR_R6, TIM_R5 and TIM_R6 models are 1° and for ITSG-Grace2018 model is 1.1°). The filtered results show that the geostrophic currents obtained by the GOCE gravity field models can better reflect detailed characteristics of ocean currents. The total geostrophic speed based on the TIM_R6 model is similar to the result of the DIR_R6 model with standard deviation (STD) of 0.320 m/s and 0.321 m/s, respectively. The STD of the total velocities are 0.333 m/s and 0.325 m/s for DIR_R5 and TIM_R5. When compared with ITSG-Grace2018 results, the STD (0.344 m/s) of total geostrophic speeds is larger than GOCE results, and the accuracy of geostrophic currents obtained by ITSG-Grace2018 is lower. And the absolute errors are mainly distributed in the areas with faster speeds, such as the Antarctic circumpolar circulation, equatorial region, Kuroshio and Gulf Stream areas. After the remove-restore technique was applied to TIM_R6 MDT, the STD of total geostrophic speeds dropped to 0.162 m/s.
  • loading
  • [1]
    Albertella A, Savcenko R, Janjić T, et al. 2012. High resolution dynamic ocean topography in the southern ocean from GOCE. Geophysical Journal Interna-tional, 190(2): 922–930. doi: 10.1111/j.1365-246X.2012.05531.x
    [2]
    Andersen O, Knudsen P, Stenseng L. 2015. The DTU13 MSS (mean sea surface) and MDT (mean dynamic topography) from 20 years of Satellite Altimetry. In: Jin S, Barzaghi R, eds. IGFS 2014. International Association of Geodesy Symposia, Vol 144. Shanghai, China: Springer, Cham: 111–121
    [3]
    Bingham R J, Haines K, Hughes C W. 2008. Calculating the ocean’s mean dynamic topography from a mean sea surface and a geoid. Journal of Atmospheric and Oceanic Technology, 25(10): 1808–1822. doi: 10.1175/2008JTECHO568.1
    [4]
    Bingham R J, Haines K, Lea D. 2015. A comparison of GOCE and drifter-based estimates of the North Atlantic steady-state surface circulation. International Journal of Applied Earth Observation and Geoinformation, 35: 140–150. doi: 10.1016/j.jag.2014.03.012
    [5]
    Bingham R J, Knudsen P, Andersen O, et al. 2011. An initial estimate of the North Atlantic steadystate geostrophic circulation from GOCE. Geophysical Research Letters, 38(1): L01606. doi: 10.1029/2010GL045633
    [6]
    Brockmann J M, Schubert T, Mayer-Gürr T, et al. 2019. The Earth’s gravity field as seen by the GOCE satellite—An improved sixth release derived with the time-wise approach (GO_CONS _GCF_2_TIM_R6). GFZ Data Services
    [7]
    Brockmann J M, Zehentner N, Höck E, et al. 2014. EGM_TIM_RL05: An independent geoid with centimeter accuracy purely based on the GOCE mission. Geophysical Research Letters, 41(22): 8089–8099. doi: 10.1002/2014GL061904
    [8]
    Bruinsma S L, Förste C, Abrikosov O, et al. 2013. The new ESA satellite-only gravity field model via the direct approach. Geophysical Research Letters, 40(14): 3607–3612. doi: 10.1002/grl.50716
    [9]
    Bruinsma S L, Förste C, Abrikosov O, et al. 2014. ESA’s satellite-only gravity field model via the direct approach based on all GOCE data. Geophysical Research Letters, 41(21): 7508–7514. doi: 10.1002/2014GL062045
    [10]
    Feng Guiping, Jin Shuanggen, Reales J M S. 2013. Antarctic circumpolar current from satellite gravimetric models ITG-GRACE2010, GOCE-TIM3 and satellite altimetry. Journal of Geodynamics, 72: 72–80. doi: 10.1016/j.jog.2013.08.005
    [11]
    Förste C, Abrykosov O, Bruinsma S, et al. 2019. ESA’s Release 6 GOCE gravity field model by means of the direct approach based on improved filtering of the reprocessed gradients of the entire mission (GO_CONS_GCF_2_DIR_R6). GFZ Data Services, https://doi.org/10.5880/ICGEM.2019.004
    [12]
    Förste C, Schmidt R, Stubenvoll R, et al. 2008. The GeoForschungs Zentrum Potsdam/Groupe de Recherche de Gèodésie Spatiale satellite-only and combined gravity field models: EIGEN-GL04S1 and EIGEN-GL04C. Journal of Geodesy, 82(6): 331–346. doi: 10.1007/s00190-007-0183-8
    [13]
    Haines K, Johannessen J A, Knudsen P, et al. 2011. An ocean modelling and assimilation guide to using GOCE geoid products. Ocean Science, 7(1): 151–164. doi: 10.5194/os-7-151-2011
    [14]
    Jin Shuanggen, Feng Guiping, Andersen O. 2014. Errors of mean dynamic topography and geostrophic current estimates in China’s marginal seas from GOCE and satellite altimetry. Journal of Atmos-pheric and Oceanic Technology, 31(11): 2544–2555. doi: 10.1175/JTECH-D-13-00243.1
    [15]
    Knudsen P, Andersen O, Maximenko N. 2019. A new ocean mean dynamic topography model, derived from a combination of gravity, altimetry and drifter velocity data. Advances in Space Research:
    [16]
    Knudsen P, Bingham R, Andersen O B, et al. 2011a. Enhanced mean dynamic topography and ocean circulation estimation using GOCE preliminary models. In: Proceedings of the 4th International GOCE User Workshop. Munich, Germany: European Space Agency
    [17]
    Knudsen P, Bingham R, Andersen O, et al. 2011b. A global mean dynamic topography and ocean circulation estimation using a preliminary GOCE gravity model. Journal of Geodesy, 85(11): 861–879. doi: 10.1007/s00190-011-0485-8
    [18]
    Kvas A, Mayer-Gürr T, Krauss S, et al. 2019. The satellite-only gravity field model GOCO06s. GFZ Data Services, https://doi. org/10.5880/ICGEM.2019.002
    [19]
    Laurindo L C, Mariano A J, Lumpkin R. 2017. An improved near-surface velocity climatology for the global ocean from drifter observations. Deep Sea Research Part I: Oceanographic Research Papers, 124: 73–92. doi: 10.1016/j.dsr.2017.04.009
    [20]
    Lumpkin R, Grodsky S A, Centurioni L, et al. 2013. Removing spurious low-frequency variability in drifter velocities. Journal of Atmospheric and Oceanic Technology, 30(2): 353–360. doi: 10.1175/JTECH-D-12-00139.1
    [21]
    Lumpkin R, Johnson G C. 2013. Global ocean surface velocities from drifters: Mean, variance, El Niño-Southern Oscillation response, and seasonal cycle. Journal of Geophysical Research: Oceans, 118(6): 2992–3006. doi: 10.1002/jgrc.20210
    [22]
    Mayer-Gürr T, Behzadpur S, Ellmer M, et al. 2018. ITSG-Grace2018-monthly, daily and static gravity field solutions from GRACE. GFZ Data Services
    [23]
    Pail R, Bruinsma S, Migliaccio F, et al. 2011. First GOCE gravity field models derived by three different approaches. Journal of Geodesy, 85(11): 819–843. doi: 10.1007/s00190-011-0467-x
    [24]
    Pail R, Goiginger H, Schuh W D, et al. 2010. Combined satellite gravity field model GOCO01S derived from GOCE and GRACE. Geophysical Research Letters, 37(20): L20314. doi: 10.1029/2010GL044906
    [25]
    Pavlis N K, Holmes S A, Kenyon S C, et al. 2008. An earth gravitational model to degree 2160: EGM2008. In: Proceedings of the 2008 General Assembly of the European Geosciences Union. Vienna, Austria: European Geosciences Union
    [26]
    Rio M H, Mulet S, Picot N. 2014. Beyond GOCE for the ocean circulation estimate: Synergetic use of altimetry, gravimetry, and in situ data provides new insight into geostrophic and Ekman currents. Geophysical Research Letters, 41(24): 8918–8925. doi: 10.1002/2014GL061773
    [27]
    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(Sup1): 3–19. doi: 10.1080/01490419.2012.718231
    [28]
    Siegismund F. 2013. Assessment of optimally filtered recent geodetic mean dynamic topographies. Journal of Geophysical Research: Oceans, 118(1): 108–117. doi: 10.1029/2012JC008149
    [29]
    Sjöberg L E. 2005. A discussion on the approximations made in the practical implementation of the remove-compute-restore technique in regional geoid modelling. Journal of Geodesy, 78(11–12): 645–653
    [30]
    Tsoulis D, Patlakis K. 2013. A spectral assessment review of current satellite-only and combined Earth gravity models. Reviews of Geophysics, 51(2): 186–243. doi: 10.1002/rog.20012
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(11)  / Tables(3)

    Article Metrics

    Article views (507) PDF downloads(31) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return