High frequency barotropic ocean variability observed by GRACE and satellite altimetry

Geophysical Research Letters

Volumn 39, Issue 7, 2012, Pages

  Quinn, Katherine J ^a   Ponte, Rui M ^a  

^a ATMOSPHERIC AND ENVIRONMENTAL RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SEA LEVEL;

BAROTROPIC; HIGH FREQUENCY; HIGH LATITUDES; HIGHER FREQUENCIES; LOWER FREQUENCIES; MIDLATITUDES; SATELLITE ALTIMETRY; TIME RESOLUTION;

ANEROID ALTIMETERS;

AMPLITUDE; BAROTROPIC MOTION; FREQUENCY ANALYSIS; GRACE; LATITUDE; SATELLITE ALTIMETRY; SATELLITE DATA; SEA LEVEL CHANGE; SEA LEVEL PRESSURE; SPECTRAL RESOLUTION; THEORETICAL STUDY;

EID: 84859615843     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/2012GL051301     Document Type: Article

References (24)

1. Bendat, J. S., and A. G. Piersol (2000), Random Data: Analysis and Measurement Procedures, 3rd ed., Wiley-Interscience, New York.
2. Bingham, R. J., and C. W. Hughes (2008), The relationship between sea-level and bottom pressure variability in an eddy permitting ocean model, Geophys. Res. Lett., 35, L03602, doi:10.1029/2007GL032662. (Pubitemid 351492919)
3. Bonin, J. A., and D. P. Chambers (2011), Evaluation of high-frequency oceanographic signal in GRACE data: Implications for de-aliasing, Geophys. Res. Lett., 38, L17608, doi:10.1029/2011GL048881.
4. Bretherton, C. S., M. Widmann, V. P. Dymnikov, J. M. Wallace, and I. Blade (1999), The effective number of spatial degrees of freedom of a time-varying field, J. Clim., 12, 1990-2009. (Pubitemid 29532514)
5. Bruinsma, S., J.-M. Lemoine, R. Biancale, and N. Valès (2010), CNES/GRGS 10-day gravity field models (release 2) and their evaluation, Adv. Space Res., 45, 587-601, doi:10.1016/j.asr.2009.10.012.
6. Brunnabend, S.-E., R. Rietbroek, R. Timmermann, J. Schröter, and J. Kusche (2011), Improving mass redistribution estimates by modeling ocean bottom pressure uncertainties, J. Geophys. Res., 116, C08037, doi:10.1029/2010JC006617.
7. Flechtner, F., C. Dahle, K. H. Neumayer, R. König, and C. Förste (2010), The Release 04 CHAMP and GRACE EIGEN Gravity Field Models, in System Earth via Geodetic-Geophysical Space Techniques, edited by F. Flechtner et al., pp. 41-58, Springer, Berlin.
8. Fu, L. L. (2003), Wind-forced intraseasonal sea level variability of the extratropical oceans, J. Phys. Oceanogr., 33, 436-449.
9. Gill, A. E., and P. P. Niiler (1973), The theory of the seasonal variability in the ocean, Deep Sea Res. Oceanogr. Abstr., 20, 141-177.
10. Kurtenbach, E., T. Mayer-Gürr, and A. Eicker (2009), Deriving daily snapshots of the Earth's gravity field from GRACE L1B data using Kalman filtering, Geophys. Res. Lett., 36, L17102, doi:10.1029/2009GL039564.
11. Lyard, F., F. Lefevre, T. Letellier, and O. Francis (2006), Modelling the global ocean tides: Modern insights from FES2004, Ocean Dyn., 56, 394-415. (Pubitemid 46030117)
12. Picot, N., K. Case, S. Desai, and P. Vincent (2008), AVISO and PODAAC user handbook: IGDR and GDR Jason Products, version 4.1, JPL Publ., D-21352, 108 pp.
13. Quinn, K. J., and R. M. Ponte (2008), Estimating weights for the use of time-dependent gravity recovery and climate experiment data in constraining ocean models, J. Geophys. Res., 113, C12013, doi:10.1029/2008JC004903.
14. Ray, R. (1999), A global ocean tide model from TOPEX/POSEIDON altim-etry: GOT99.2, NASA Tech. Memo. 1999-209478, NASA Goddard Space Flight Cent., Greenbelt, Md.
15. Rietbroek, R., S.-E. Brunnabend, C. Dahle, J. Kusche, F. Flechtner, J. Schröter, and R. Timmermann (2009), Changes in total ocean mass derived from GRACE, GPS, and ocean modeling with weekly resolution, J. Geophys. Res., 114, C11004, doi:10.1029/2009JC005449.
16. Schmidt, R., U. Meyer, C. Dahle, F. Flechtner, and J. Kusche (2008), Monthly and weekly EIGEN-GRACE05S gravity field solutions for monitoring of mass variations in the Earth system, in Surface Water Storage and Runoff: Modeling, In-Situ Data and Remote Sensing, Proceedings of the 2nd Space for Hydrology Workshop, edited by J. Benveniste et al., ESA Publ., WPP-280, 12-14.
17. Stammer, D., C. Wunsch, and R. M. Ponte (2000), De-aliasing of global high frequency barotropic motions in altimeter observations, Geophys. Res. Lett., 27, 1175-1178, doi:10.1029/1999GL011263. (Pubitemid 32035666)
18. Thompson, R. (1979), Coherence significance levels, J. Atmos. Sci., 36, 2020-2021.
19. Tierney, C., J. Wahr, F. Bryan, and V. Zlotnicki (2000), Short-period oceanic circulation: Implications for satellite altimetry, Geophys. Res. Lett., 27, 1255-1258. (Pubitemid 32040554)
20. Vinogradova, N. T., R. M. Ponte, and D. Stammer (2007), Relation between sea level and bottom pressure and the vertical dependence of oceanic variability, Geophys. Res. Lett., 34, L03608, doi:10.1029/2006GL028588. (Pubitemid 47277598)
21. Vivier, F., K. A. Kelly, and M. Harismendy (2005), Causes of large-scale sea level variations in the Southern Ocean: Analyses of sea level and a barotropic model, J. Geophys. Res., 110, C09014, doi:10.1029/2004JC002773. (Pubitemid 41594894)
22. Welch, P. D. (1967), The use of fast fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms, IEEE Trans. Audio Electroacoust., 15, 70-73.
23. Wiese, D. N., P. Visser, and R. S. Nerem (2011), Estimating low resolution gravity fields at short time intervals to reduce temporal aliasing errors, Adv. Space Res., 48(6), 1094-1107, doi:10.1016/j.asr.2011.05.027.
24. Willebrand, J., S. G. H. Philander, and R. C. Pacanowski (1980), The oceanic response to large-scale atmospheric disturbances, J. Phys. Oceanogr., 10, 411-429.