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Large scale time variability from high-low SST - filling the gap between GRACE and GFO

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Large scale time variability

from high-low SST - filling the gap between GRACE and GFO

Matthias Weigelt, Tonie van Dam Adrian Jäggi, Lars Prange

Nico Sneeuw, Wolfgang Keller

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GRACE und GRACE Follow-On (GFO)

2

Low-low

© CSR Texas

• K-Band (Laser)

• GPS

• Accelerometer

~ 5 year data gap

year

(3)

Other gravity field missions

3

High-low

GOCE GOCE

© ESA © EADS Astrium

SWARM

year

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Previous CHAMP studies

Difference degree RMS w.r.t. EGM08

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CHAMP REPROCESSING

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Data reprocessing

Prange 2010

• 10 s sampling

• empirical absolute antenna phase center model

• …

GPS positions:

Background models:

• JPL ephemeris DE405

• Solid Earth tides & solid Earth pole tides (IERS conventions)

• Ocean tides (FES 2004)

• Ocean pole tides (IERS conventions, Desai 2002)

• Atmospheric tides (N1-model, Biancale and Bode 2006)

• Relativistic corrections (IERS conventions)

• AOD1B-product (Flechtner 2008)

• acceleration approach

• no accelerometer data used

• no regularization and no a priori model / information Approach:

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CHAMP monthly gravity field solutions

7 Difference degree RMS w.r.t. EGM08

EGM08 CHAMP

GRACE GFZ RL 04 CHAMP reprocessed

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8

CHAMP monthly gravity field solution

scaled by 1010

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FILTERING

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10

?

Example:

Monthly CHAMP CHAMP (mean annual) GRACE GFZ RL04

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Kalman filtering

Kalman filtering

Prediction model

Process noise Least squares:

trend + mean annual signal Time series

K

lm

Filtered

time series

(12)

scaled by 1010

Filtered monthly gravity field solution

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Filtered monthly gravity field solution

EGM08 CHAMP

GRACE GFZ RL04 CHAMP reprocessed CHAMP filtered

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SOME VALIDATION

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Time series

Equivalent water height [mm]

KOUR, Brazil

CUSV, Thailand

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Time series:

Sermilik, Greenland HYDE, India

Equivalent water height [mm]

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SUMMARY

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Summary

• Time variable gravity field from high-low SST

• Filtering (Kalman)

• Further improvements

(e.g. considering correlations between coefficients)

• Expectations for SWARM:

– better GPS receiver

– three satellites

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Thank you

19

GRACE GFZ Rel. 4 High-low SST

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(21)

BACKUP

(22)

Equivalent water height [mm]

Chiang Mai, Thailand Macapá, Amazon

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CHAMP monthly gravity field solutions

23

GPS! GPS!

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