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GRACEHydrology Workshop, Irvine, CA

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Dept. of ASE/EM, University of Texas at Austin. GRACE team at UT-CSR. March 22, 2004 ... Averaging needs to account for definition of 'monthly' ... – PowerPoint PPT presentation

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Title: GRACEHydrology Workshop, Irvine, CA


1
GRACE-Hydrology Workshop, Irvine, CA
  • Characterizing Signals and Errors in GRACE
  • Time-variable Gravity Solutions
  • Paul F. Thompson
  • Dept. of ASE/EM, University of Texas at Austin
  • GRACE team at UT-CSR
  • March 22, 2004

2
What does a GRACE gravity solution represent?
  • time variable background models
  • solid earth tide
  • ocean tide
  • rotational deformation
  • non-tidal atmosphereocean (AOD)

Static geopotential
updates to static and time variable GEO
  • Errors that impact estimated GEO during data
    processing
  • instrument measurement noise
  • parameterization
  • aliasing of short-period variability
  • spacecraft events
  • and so on
  • Impact on interpretation due to average unmodeled
    GEO
  • continental hydrology
  • solid earth tide
  • ocean tide
  • rotational deformation
  • AOD

3
What does a GRACE gravity solution represent?
  • Primary product from GRACE is a monthly gravity
    field
  • Update found that minimizes residuals of
    (observed-predicted) measurements

4
What does a GRACE gravity solution represent?
  • Where, the nominal model contains a static and
    time-variable geopotential
  • Update consists of more than unmodeled
    continental hydrology
  • Difference between two GRACE solutions for time A
    and time B, assuming Gstatic is unchanged

5
Annual Variability 600 km smoothing radius
GRACE - cosine
GRACE - sine
NCEP hydro - cosine
NCEP hydro - sine
6
2003 Variability, 600 km smoothing radius
GRACE
April
August
October
NCEP hydrology
April
August
October
7
GRACE and NCEP continental hydrology
  • Annual cycles comparable in amplitude
  • Some correlation between GRACE and hydrology up
    to degree 30 (600 km wavelengths)
  • Some months agree very well, some not at
    allhighlights difference in phase between GRACE
    and NCEP hydro
  • Deviations from annual are comparable to annual
    signal for some monthsnon-sinusoidal
  • Preliminary comparison with other hydrology
    models show better agreement (e.g., GLDAS)

8
GRACE Variability About Average - 2003
March, 2003
April, 2003
May, 2003
July, 2003
9
Background Model Variability
10
Calibrated error estimates
Example 1
Example 2
Example 4
Example 3
11
Short-period aliasing and the AOD model
Aliasing error due to unmodeled atmosphere
Perturbation in time-variable gravity solutions
due to AOD model--August to November, 2002
Thompson, et al., 2000 2003 2004
12
Mass variability compared to GRACE errors
13
Summary
  • Analyzed 14 monthly solutions - 4 in 2002, 10
    in 2003
  • GRACE gravity solution variability
  • Strong annual cycle of 8 mm amplitude
  • NCEP hydrology shows reasonable agreement in
    amplitude, but disagreement in phase. Other
    models show better agreement
  • Interpretation of time-variable gravity results
  • 600 km smoothing radius is reasonable with 2003
    solutions
  • Averaging needs to account for definition of
    monthly
  • Regional scale variability is evident (e.g., the
    two basins bordered by Amazon river)
  • Aliasing/de-aliasing most significant for the
    highest degrees, particularly the sectorials
  • Further work required to isolate unmodeled mass
    variability (e.g., hydrology, ocean, atmosphere)
    in the presence of the processing related errors
    (e.g., instrument noise, temporal aliasing)
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