Calculation of the temporal gravity variation from spatially variable water storage change in soils and aquifers

Leiriao, S.; He, Xin; Christiansen, L.J.; Andersen, Ole; Bauer‐Gottwein, Peter

doi:10.1016/j.jhydrol.2008.11.040

Cited by 64 publications

(65 citation statements)

References 23 publications

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“…Many scientists have modeled the effects of land-water distribution on the observed gravity (e.g., Francis et al, 2004;Abe et al, 2006;Boy and Hinderer, 2006;Meurers et al, 2007;Jahr et al, 2009;Leirião et al, 2009;Longuevergne et al, 2009;Nawa et al, 2009;Pfeffer et al, 2011). For example, Hanada et al (1990) found a simple proportional relationship between water level and abCopyright c The Society of Geomagnetism and Earth, Planetary and Space Sciences (SGEPSS); The Seismological Society of Japan; The Volcanological Society of Japan; The Geodetic Society of Japan; The Japanese Society for Planetary Sciences; TERRAPUB.…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies have utilized the hydrological equations (e.g., Abe et al, 2006;Hasan et al, 2008;Krause et al, 2009;Leirião et al, 2009;Naujoks et al, 2010), although all still show problems relating to the reproducibility of changes in gravity. For example, Abe et al (2006) found that soil-water effects, estimated by a soil moisture retention function, corresponded to 80% of the observed instant gravity change during rainfall events in Bandung, Indonesia.…”

Section: Introductionmentioning

confidence: 99%

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Gravity changes associated with variations in local land-water distributions: Observations and hydrological modeling at Isawa Fan, northern Japan

et al. 2012

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Gravity changes associated with variations in local land-water distributions have been observed at Isawa Fan in northern Japan, and modeled by hydrological equations. We solve the Richards equation numerically for the time variation in the vertical soil moisture distribution, which is then spatially integrated to estimate gravity changes due to the soil moisture distribution. In modeling Isawa Fan, we assume a simple hydrological model: a horizontally homogeneous soil in an infinite half-space. The estimated gravity is consistent with the observed gravity during a 50-day period within about 0.4 µgal root mean square, owing to both observed soil parameter values and the observation building geometry being incorporated into the hydrological model. However, the estimated gravity cannot fully reproduce annual gravity changes observed during a 2-year time frame, because the boundary conditions in the modeling determine only local water distributions and the resultant short-period gravity changes. Instead, the observed gravity over these 2 years can be reproduced within about 1.0 µgal root mean square, if the additional parameters of the annual gravity change (A ac and A as ) and the snowfall effect (A s ) are calculated by the function regression to the observed gravity with the least-squares method. The hydrological modeling techniques presented here can be utilized at all gravity sites in flat areas similar to Isawa Fan, such that hydrological effects in gravity data can be corrected and mass transfers associated with earthquakes and volcanoes can be monitored.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Gravity changes associated with variations in local land-water distributions: Observations and hydrological modeling at Isawa Fan, northern Japan

et al. 2012

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“…This can be used to derive storage changes trough time-lapse gravimetric measurements. In-situ gravimetric measurements are not suited for studies at the catchment scale because the footprint of ground-based gravimeters is on the order of several tens of meters (Leiriao et al, 2009). The Gravity Recovery and Climate Experiment (GRACE) has been monitoring temporal changes in the earth's gravity field since 2002 (Tapley et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Combining satellite radar altimetry, SAR surface soil moisture and GRACE total storage changes for hydrological model calibration in a large poorly gauged catchment

Milzow

Krogh

Bauer‐Gottwein

2011

Hydrol. Earth Syst. Sci.

100

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Abstract. The availability of data is a major challenge for hydrological modelling in large parts of the world. Remote sensing data can be exploited to improve models of ungauged or poorly gauged catchments. In this study we combine three datasets for calibration of a rainfall-runoff model of the poorly gauged Okavango catchment in Southern Africa: (i) surface soil moisture (SSM) estimates derived from radar measurements onboard the Envisat satellite; (ii) radar altimetry measurements by Envisat providing river stages in the tributaries of the Okavango catchment, down to a minimum river width of about one hundred meters; and (iii) temporal changes of the Earth's gravity field recorded by the Gravity Recovery and Climate Experiment (GRACE) caused by total water storage changes in the catchment. The SSM data are shown to be helpful in identifying periods with overrespectively underestimation of the precipitation input. The accuracy of the radar altimetry data is validated on gauged subbasins of the catchment and altimetry data of an ungauged subbasin is used for model calibration. The radar altimetry data are important to condition model parameters related to channel morphology such as Manning's roughness. GRACE data are used to validate the model and to condition model parameters related to various storage compartments in the hydrological model (e.g. soil, groundwater, bank storage etc.). As precipitation input the FEWS-Net RFE, TRMM 3B42 and ECMWF ERA-Interim datasets are considered and compared.

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“…Within the Bouguer approximation, a one meter water mass change in a flat and infinitely extended plate causes a gravity response of 42 µGal. Focusing on where this gravity response is generated in this layer, the study of Leirião et al (2009) showed that 90% of the gravity signal comes from a circular disk of a radius 10 times the vertical distance between the layer and the instrument. Topography determines the distribution of hydrological masses in space and influences the relationship of WSC and gravity response.…”

Section: Introductionmentioning

confidence: 99%

The benefits of gravimeter observations for modelling water storage changes at the field scale

Creutzfeldt

Güntner²,

Vorogushyn

et al. 2010

Hydrol. Earth Syst. Sci.

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Abstract. Water storage is the fundamental state variable of hydrological systems. However, comprehensive data on total water storage changes (WSC) are practically inaccessible by hydrological measurement techniques at the field or catchment scale, and hydrological models are highly uncertain in representing the storage term due to the lack of adequate validation or calibration data. In this study, we assess the benefit of temporal gravimeter measurements for modelling WSC at the field scale. A simple conceptual hydrological model is calibrated and evaluated against records of a superconducting gravimeter (SG), soil moisture, and groundwater time series. The model is validated against independently estimated WSC based on lysimeter measurements. Using gravimeter data as a calibration constraint improves the model results substantially in terms of predictive capability and variation of the behavioural model runs. Thanks to their capacity to integrate over different storage components and a larger area, gravimeters provide information on total WSC that can be used to constrain the overall status of the hydrological system in a model. The general problem of specifying the internal model structure or individual parameter sets can, however, not be solved with gravimeters alone.

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Calculation of the temporal gravity variation from spatially variable water storage change in soils and aquifers

Cited by 64 publications

References 23 publications

Gravity changes associated with variations in local land-water distributions: Observations and hydrological modeling at Isawa Fan, northern Japan

Gravity changes associated with variations in local land-water distributions: Observations and hydrological modeling at Isawa Fan, northern Japan

Combining satellite radar altimetry, SAR surface soil moisture and GRACE total storage changes for hydrological model calibration in a large poorly gauged catchment

The benefits of gravimeter observations for modelling water storage changes at the field scale

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