Using Superconducting Gravimeters for Local Water Storage Change Monitoring: Case Study of the Geodetic Observatory Wettzell, Germany

2011 ◽  
Author(s):  
Benjamin Creutzfeldt ◽  
Ty Ferre ◽  
Andreas Güntner
Geophysics ◽  
2008 ◽  
Vol 73 (6) ◽  
pp. WA95-WA104 ◽  
Author(s):  
Benjamin Creutzfeldt ◽  
Andreas Güntner ◽  
Thomas Klügel ◽  
Hartmut Wziontek

Superconducting gravimeters (SG) measure temporal changes of the Earth’s gravity field with high accuracy and long-term stability. Variations in local water storage components (snow, soil moisture, groundwater, surface water, and water stored by vegetation) can have a significant influence on SG measurements and — from a geodetic perspective — add noise to the SG records. At the same time, this hydrological gravity signal can provide substantial information about the quantification of water balances. A 4D forward model with a spatially nested discretization domain was developed to investigate the local hydrological gravity effect on the SG records of the Geodetic Observatory Wettzell, Germany. The possible maximum gravity effect was investigated using hypothetical water storage changes based on physical boundary conditions. Generally, on flat terrain, a water mass change of[Formula: see text] in the model domain causes a gravity change of [Formula: see text]. Simulation results show that topography increases this value to [Formula: see text]. Errors in the Digital Elevation Model can influence the results significantly. The radius of influence of local water storage variations is limited to [Formula: see text]. Detailed hydrological measurements should be carried out in a radius of [Formula: see text] around the SG station. Groundwater, soil moisture, and snow storage changes dominate the hydrological gravity effect at the SG Wettzell. Using observed time series for these variables in the 4D model and comparing the results to the measured gravity residuals show similarities in both seasonal and shorter-term dynamics. However, differences exist, e.g., the range comparison of the mean modeled [Formula: see text] gravity signal and the measured [Formula: see text] gravity signal, making additional hydrological measurements necessary to describe the full spatiotemporal variability of local water masses.


2016 ◽  
Vol 131 ◽  
pp. 23-28 ◽  
Author(s):  
Jiangcun Zhou ◽  
Heping Sun ◽  
Jianqiao Xu ◽  
Weimin Zhang

2010 ◽  
Vol 46 (8) ◽  
Author(s):  
Benjamin Creutzfeldt ◽  
Andreas Güntner ◽  
Heiko Thoss ◽  
Bruno Merz ◽  
Hartmut Wziontek
Keyword(s):  

2019 ◽  
Author(s):  
Wayne Hamilton ◽  
◽  
Stephanie S. Wong ◽  
Wynne Casteel ◽  
Ashley McGill ◽  
...  

Water ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 37
Author(s):  
Tomás de Figueiredo ◽  
Ana Caroline Royer ◽  
Felícia Fonseca ◽  
Fabiana Costa de Araújo Schütz ◽  
Zulimar Hernández

The European Space Agency Climate Change Initiative Soil Moisture (ESA CCI SM) product provides soil moisture estimates from radar satellite data with a daily temporal resolution. Despite validation exercises with ground data that have been performed since the product’s launch, SM has not yet been consistently related to soil water storage, which is a key step for its application for prediction purposes. This study aimed to analyse the relationship between soil water storage (S), which was obtained from soil water balance computations with ground meteorological data, and soil moisture, which was obtained from radar data, as affected by soil water storage capacity (Smax). As a case study, a 14-year monthly series of soil water storage, produced via soil water balance computations using ground meteorological data from northeast Portugal and Smax from 25 mm to 150 mm, were matched with the corresponding monthly averaged SM product. Linear (I) and logistic (II) regression models relating S with SM were compared. Model performance (r2 in the 0.8–0.9 range) varied non-monotonically with Smax, with it being the highest at an Smax of 50 mm. The logistic model (II) performed better than the linear model (I) in the lower range of Smax. Improvements in model performance obtained with segregation of the data series in two subsets, representing soil water recharge and depletion phases throughout the year, outlined the hysteresis in the relationship between S and SM.


2015 ◽  
Vol 10 (12) ◽  
pp. 124010 ◽  
Author(s):  
H B Dieng ◽  
N Champollion ◽  
A Cazenave ◽  
Y Wada ◽  
E Schrama ◽  
...  

2021 ◽  
Author(s):  
Steven Reinaldo Rusli ◽  
Albrecht Weerts ◽  
Victor Bense

<p>In this study, we estimate the water balance components of a highly groundwater-dependent and hydrological data-scarce basin of the upper reaches of the Citarum river in West Java, Indonesia. Firstly, we estimate the groundwater abstraction volumes based on population size and a review of literature (0.57mm/day). Estimates of other components like rainfall, actual evaporation, discharge, and total water storage changes are derived from global datasets and are simulated using a distributed hydrological wflow_sbm model which yields additional estimates of discharge, actual evaporation, and total water storage change. We compare each basin water balance estimate as well as quantify the uncertainty of some of the components using the Extended Triple Collocation (ETC) method.</p><p>The ETC application on four different rainfall estimates suggests a preference of using the CHIRPS product as the input to the water balance components estimates as it delivers the highest r<sup>2</sup>  and the lowest RMSE compared to three other sources. From the different data sources and results of the distributed hydrological modeling using CHIRPS as rainfall forcing, we estimate a positive groundwater storage change between 0.12 mm/day - 0.60 mm/day. These results are in agreement with groundwater storage change estimates based upon GRACE gravimetric satellite data, averaged at 0.25 mm/day. The positive groundwater storage change suggests sufficient groundwater recharge occurs compensating for groundwater abstraction. This conclusion seems in agreement with the observation since 2005, although measured in different magnitudes. To validate and narrow the estimated ranges of the basin water storage changes, a devoted groundwater model is necessary to be developed. The result shall also aid in assessing the current and future basin-scale groundwater level changes to support operational water management and policy in the Upper Citarum basin.</p>


2008 ◽  
Vol 113 (D21) ◽  
Author(s):  
Frédéric Frappart ◽  
Fabrice Papa ◽  
James S. Famiglietti ◽  
Catherine Prigent ◽  
William B. Rossow ◽  
...  

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