Details
| Original language | English |
|---|---|
| Article number | 2 |
| Journal | GEM - International Journal on Geomathematics |
| Volume | 16 |
| Issue number | 1 |
| Publication status | Published - 9 Dec 2024 |
Abstract
In this study a regional modelling framework for water mass changes is developed. The approach can introduce geodetic observation types of varying temporal and spatial resolution including their correlated error information. For this purpose a Kalman filter process was set up using a regional parameterisation by space-localising radial basis functions and a process model based on stochastic prediction. The feasibility of the approach is confirmed in a closed-loop simulation experiment using gridded water storage estimates derived from simulated monthly solutions of the GRACE satellite gravimetry mission and considering realistic error patterns. The resulting mass change time series exhibit strongly reduced noise and a very high agreement with the reference model. The modelling framework is designed to flexibly allow a future extension towards combining satellite gravimetry with other geodetic observations such as GNSS station displacements or terrestrial gravimetry.
Keywords
- GRACE, Kalman filter, Radial basis functions, Regional gravity field modelling, Satellite gravimetry, Terrestrial water storage
ASJC Scopus subject areas
- Mathematics(all)
- Modelling and Simulation
- Earth and Planetary Sciences(all)
- General Earth and Planetary Sciences
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In: GEM - International Journal on Geomathematics, Vol. 16, No. 1, 2, 09.12.2024.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Kalman filter framework for a regional mass change model from GRACE satellite gravity
AU - Wöhnke, Viviana
AU - Eicker, Annette
AU - Weigelt, Matthias
AU - Reich, Marvin
AU - Güntner, Andreas
AU - Kvas, Andreas
AU - Mayer-Gürr, Torsten
N1 - Publisher Copyright: © The Author(s) 2024.
PY - 2024/12/9
Y1 - 2024/12/9
N2 - In this study a regional modelling framework for water mass changes is developed. The approach can introduce geodetic observation types of varying temporal and spatial resolution including their correlated error information. For this purpose a Kalman filter process was set up using a regional parameterisation by space-localising radial basis functions and a process model based on stochastic prediction. The feasibility of the approach is confirmed in a closed-loop simulation experiment using gridded water storage estimates derived from simulated monthly solutions of the GRACE satellite gravimetry mission and considering realistic error patterns. The resulting mass change time series exhibit strongly reduced noise and a very high agreement with the reference model. The modelling framework is designed to flexibly allow a future extension towards combining satellite gravimetry with other geodetic observations such as GNSS station displacements or terrestrial gravimetry.
AB - In this study a regional modelling framework for water mass changes is developed. The approach can introduce geodetic observation types of varying temporal and spatial resolution including their correlated error information. For this purpose a Kalman filter process was set up using a regional parameterisation by space-localising radial basis functions and a process model based on stochastic prediction. The feasibility of the approach is confirmed in a closed-loop simulation experiment using gridded water storage estimates derived from simulated monthly solutions of the GRACE satellite gravimetry mission and considering realistic error patterns. The resulting mass change time series exhibit strongly reduced noise and a very high agreement with the reference model. The modelling framework is designed to flexibly allow a future extension towards combining satellite gravimetry with other geodetic observations such as GNSS station displacements or terrestrial gravimetry.
KW - GRACE
KW - Kalman filter
KW - Radial basis functions
KW - Regional gravity field modelling
KW - Satellite gravimetry
KW - Terrestrial water storage
UR - http://www.scopus.com/inward/record.url?scp=85211317519&partnerID=8YFLogxK
U2 - 10.1007/s13137-024-00260-1
DO - 10.1007/s13137-024-00260-1
M3 - Article
AN - SCOPUS:85211317519
VL - 16
JO - GEM - International Journal on Geomathematics
JF - GEM - International Journal on Geomathematics
SN - 1869-2672
IS - 1
M1 - 2
ER -