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Signal and Noise in GRACE observed surface mass variations

Signal and Noise in GRACE observed surface mass variations. E.J.O. Schrama 1 , B. Wouters 1 , D.A. Lavallée 2 (1) TU Delft, The Netherlands, (2) University of New Castle, UK E-mail: e.j.o.schrama@tudelft.nl Related Publications:

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Signal and Noise in GRACE observed surface mass variations

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  1. Signal and Noise in GRACE observed surface mass variations E.J.O. Schrama1, B. Wouters1, D.A. Lavallée2 (1) TU Delft, The Netherlands, (2) University of New Castle, UK E-mail: e.j.o.schrama@tudelft.nl Related Publications: Ernst J.O. Schrama, Bert Wouters and David A. Lavallée, Signal and Noise in Gravity Recovery and Climate Experiment (GRACE) observed surface mass variations, Vol. 112, B08407, doi:10.1029/2006JB004882, 2007 Ernst J.O. Schrama and Pieter N.A.M. Visser (2007), Accuracy assessment of the monthly GRACE geoids based upon a simulation, Journal of Geodesy 81, 67-80, DOI 10.1007/s00190-006-0085-1 Kusche J, Schrama E.J.O., (2005) Mass redistribution from global GPS timeseries and GRACE gravity fields: inversion issues. JGR solid earth, Vol 110, B09409, doi:10.1029/2004JB003556.

  2. Outline Filter design + tuning • GRACE CSR RL04 solutions are converted into surface mass grids • Empirical Orthogonal Functions are used to separate signal and noise contained in the Gaussian smoothed surface mass grids • Result depends on an EOF approximation level “M” and asmoothing radius “t” • Optimal choice of “M” and “t” follows from observed deformations at selected set of GPS stations within the IGS. Test 1: Degree variance spectra • Signal, EOF residual, GGM02C formal errors, • Background model error tides and air pressure Test 2: Residual analysis • S2 tide and 180 day hydrology in EOF residuals • Auto-covariance functions from EOF residuals are compared to formal covariance functions based on a GSFC GRACE covariance matrix

  3. 51.4% 9.5% 12.6% 6.25 deg, CSR RL04, 43 months

  4. EOF variances

  5. Equivalent water height degree spectrum at 6.25 degree smoothing EOF signal EOF residual 0.85*GGM02C NCEP-ECMWF FES2004-GOT00.2

  6. Geoid height degree spectrum at 6.25 degree smoothing EOF signal 0.85*GGM02C EOF residual NCEP-ECMWF FES2004-GOT00.2

  7. Surface mass on 3 EOF modes and 6.25 degree smoothing radius 10 32 100 mm

  8. GPS validation • IGS vertical loading within GRACE window • Accept only those IGS stations where rms of difference relative to GRACE < 3 mm, and where the correlation is greater than 0.5

  9. For the 59 remaining stations we find:

  10. Formal error for the EQWH map from GRACE covariance matrix GSFC covariance matrix for July 2003 (Frank Lemoine) mm 7.5 degree smoothing

  11. Residual EQWH signal in EOFs 4 and up CM 6.25 degree smoothing

  12. S2 (161 days) • Residual signal in EOF 4 + up: • S2 tide errors • Semi-annual hydrology signal cm 180 days GRACE 180 days GLDAS

  13. W-E Auto-Covariance functions derived from EOFs 4 and up at 173E 0N S-N 6.25 degree smoothing

  14. Conclusions • EOF filter method • 3 EOF modes and 6.25 degree smoothing • Synthetic EOF error = 0.85 * Formal error • Tide and atmosphere pressure errors are 3 to 5 times smaller compared to formal GGM02C errors • GPS validation • 3 modes 5.00 or 6.25 degree smoothing • 59 IGS stations calibration set • Residual signal in EOFs 4 and up • S2 tide errors (161 days) identified • Semi-annual hydrology (180 days) recognized • Auto covariance still reveals North South striping that is not fully explained by the formal covariance matrix

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