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Statistically optimal estimation of degree-1 and C$_20$ coefficients based on GRACE data and an ocean bottom pressure model

Sun, Y., Ditmar, P., and Riva, R., 2017. Statistically optimal estimation of degree-1 and C$_20$ coefficients based on GRACE data and an ocean bottom pressure model. Geophysical Journal International, 210:1305–1322, doi:10.1093/gji/ggx241.

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BibTeX

@ARTICLE{2017GeoJI.210.1305S,
   author = {{Sun}, Y. and {Ditmar}, P. and {Riva}, R.},
    title = "{Statistically optimal estimation of degree-1 and C$_{20}$ coefficients based on GRACE data and an ocean bottom pressure model}",
  journal = {Geophysical Journal International},
 keywords = {Satellite geodesy, Satellite gravity, Reference systems, Geopotential theory, Time variable gravity, Global change from geodesy},
     year = 2017,
    month = sep,
   volume = 210,
    pages = {1305-1322},
      doi = {10.1093/gji/ggx241},
   adsurl = {http://adsabs.harvard.edu/abs/2017GeoJI.210.1305S},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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