Hydrological mass changes inferred from high-low satellite- to-satellite tracking data Tonie van Dam, Matthias Weigelt Mohammad J. Tourian Nico Sneeuw.

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Presentation transcript:

Hydrological mass changes inferred from high-low satellite- to-satellite tracking data Tonie van Dam, Matthias Weigelt Mohammad J. Tourian Nico Sneeuw Adrian Jäggi Lars Prange

GRACE und GRACE Follow-On (GFO) 2 Low-low © CSR Texas K-Band (Laser) GPS Accelerometer ~ 4-5 year data gap (?) year

Other gravity field missions 3 High-low GOCE © ESA © EADS Astrium SWARM year

CHAMP

CHAMP reprocessing Prange s sampling empirical absolute antenna phase center model GPS positions: Postprocessing with a Kalman filter: acceleration approach no accelerometer data used no regularization and no a priori model / information Approach: Kalman filtering (Davis et al. 2012) Prediction model Process noise Trend + mean annual signal Time series K lm Filtered time series

Filtered monthly gravity field solution

CHAMP vs. GRACE CHAMP: GRACE: 1400km

CHAMP vs. GRACE CHAMP: GRACE: 1400km CHAMP: GRACE: 1000km

CHAMP vs. GRACE CHAMP: GRACE: 1400km CHAMP: GRACE: 1000km CHAMP: GRACE: 750km

CHAMP vs. GRACE CHAMP: GRACE: 1400km CHAMP: GRACE: 1000km CHAMP: GRACE: 750km CHAMP: GRACE: 500km

CHAMP vs. GRACE CHAMP: GRACE: 1400km CHAMP: GRACE: 1000km CHAMP: GRACE: 750km CHAMP: GRACE: 500km CHAMP: GRACE: 750km

CHAMP vs. GRACE CHAMP: GRACE: 1400km CHAMP: GRACE: 1000km CHAMP: GRACE: 750km CHAMP: GRACE: 500km CHAMP: GRACE: 750km CHAMP: GRACE: 750km

EVALUATION WITH HYDRO- METEOROLOGY

Mass change as a hydrological observable 14 Balance P=precipitation ET a =evapo- transpiration R=runoff = divergence of vertically integrated moisture flux CHAMP GRACE

Mass estimate & correlation – 750km

Mass estimate & correlation – 450km

“Optimal” filter radius is catchment and signal dependent (see Tourian 2013)

EVALUATION WITH GPS

Loading analysis - Amazon 750 km CHAMP GRACE 450 km

Loading analysis - Amazon 750 km CHAMP GRACE 450 km GPS GRACE CHAMP [mm] year Surface displacement km

Loading analysis – South Africa 750 km CHAMP GRACE 450 km

Loading analysis – South Africa 750 km CHAMP GRACE 450 km GPS CHAMP GRACE Surface displacement km [mm] year

Loading analysis – East Asia CHAMP GRACE 750 km 450 km

Loading analysis – East Asia CHAMP GRACE 750 km 450 km Surface displacement km [mm] year GRACE CHAMP GPS

SUMMARY

Summary Time variable gravity field from high-low SST Long wavelength features Refinement in the processing possible/necessary –Spatial error pattern needs to be understood Filter dependency on catchment and application –Processing might include a beneficial smoothing! Remarkable agreement with hydro-meteorology and GPS SWARM? GOCE?

SUMMARY

BACKUP

Filter size for Amazon basin