Globally gridded terrestrial water storage variations from GRACE satellite gravimetry for hydrometeorological applications

Zhang, Liangjing; Dobslaw, Henryk; Thomas, Maik

doi:10.1093/gji/ggw153

Cited by 18 publications

(18 citation statements)

References 51 publications

(44 reference statements)

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“…All models tend to perform poorly in terms of TWS when compared with GRACE in the Indus basin. We note a comparably low SNR (2.2 cm) for the GRACE estimated TWS here, which is mainly contributed by the large leakage error at this basin (Zhang et al, 2016). In addition, the Indus basin is not only subject to large-scale groundwater depletion from intensive irrigation, but is also affected by snow melting and glacier melting from Himalaya.…”

Section: Dry Catchmentsmentioning

confidence: 69%

“…The GRACE products are expressed in terms of fully normalized spherical harmonic (SH) coefficients up to degree and order 90, approximately corresponding to a global resolution of 2 • in latitude and longitude. We apply the same post-processing steps to the GRACE data as described by Zhang et al (2016). The degree-1 coefficients are added following the method of Bergmann-Wolf et al (2014).…”

Section: Tws Estimates From Gracementioning

confidence: 99%

“…As for the model data, the linear trend is removed over the period January 2003 to December 2012. Error estimates as a quadrature of measurement error, leakage error and re-scaling error are also provided to assess the signal-to-noise ratio (SNR) of GRACE for particular basins (full details are given in Zhang et al, 2016). In the case of a small signal-to-noise ratio, discrepancies between TWS from GRACE and models might also be attributed to comparatively large GRACE TWS errors.…”

Section: Tws Estimates From Gracementioning

confidence: 99%

“…Post-processed TWS data based on GRACE sensor data are moreover accessible via the interactive web interface http://icgem.gfz-potsdam.de/ICGEM/JSB/ G3Browser-st.html (Zhang et al, 2016).…”

Section: Data Availabilitymentioning

confidence: 99%

“…Globally gridded TWS variations and uncertainties from GRACE estimated by the same post-processing procedure as described by Zhang et al (2016) are applied. We quantitatively analyse the correspondence between TWS estimates from four available hydrological models and GRACE in 31 of the world's largest river basins.…”

Section: Introductionmentioning

confidence: 99%

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Validation of terrestrial water storage variations as simulated by different global numerical models with GRACE satellite observations

Zhang

Dobslaw

Stacke

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. Estimates of terrestrial water storage (TWS) variations from the Gravity Recovery and Climate Experiment (GRACE) satellite mission are used to assess the accuracy of four global numerical model realizations that simulate the continental branch of the global water cycle. Based on four different validation metrics, we demonstrate that for the 31 largest discharge basins worldwide all model runs agree with the observations to a very limited degree only, together with large spreads among the models themselves. Since we apply a common atmospheric forcing data set to all hydrological models considered, we conclude that those discrepancies are not entirely related to uncertainties in meteorologic input, but instead to the model structure and parametrization, and in particular to the representation of individual storage components with different spatial characteristics in each of the models. TWS as monitored by the GRACE mission is therefore a valuable validation data set for global numerical simulations of the terrestrial water storage since it is sensitive to very different model physics in individual basins, which offers helpful insight to modellers for the future improvement of large-scale numerical models of the global terrestrial water cycle.

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Section: Dry Catchmentsmentioning

confidence: 69%

Section: Tws Estimates From Gracementioning

confidence: 99%

Section: Tws Estimates From Gracementioning

confidence: 99%

“…Post-processed TWS data based on GRACE sensor data are moreover accessible via the interactive web interface http://icgem.gfz-potsdam.de/ICGEM/JSB/ G3Browser-st.html (Zhang et al, 2016).…”

Section: Data Availabilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Validation of terrestrial water storage variations as simulated by different global numerical models with GRACE satellite observations

Zhang

Dobslaw

Stacke

et al. 2017

Hydrol. Earth Syst. Sci.

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Vertical Gravimeter Array Observations and Their Performance in Groundwater‐Level Monitoring

Toshiyuki

Honda

2018

Earth and Space Science

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The gravitational effects of the atmosphere and subsurface water are significant obstacles to observing gravity variations on the sub‐μGal (1 μGal = 10 nm/s2) scale. The goal of this study is to detect changes in gravity that are caused by mass redistributions deep underground related to seismological phenomena by reducing environmental gravity effects using multiple gravimeters belowground and aboveground, which we term a “vertical gravimeter array.” Based on an evaluation of the responses to atmospheric effects and rainfall events identified in observations made with individual relative gravimeters, the vertical gravimeter array succeeds in stacking the target signals from deep underground and in reducing errors due to rainfall or free groundwater and atmospheric effects. To enable accurate interpretation, we introduce a physical approach that is based on attraction and loading deformation effects for atmospheric reduction using state‐of‐the‐art gridded weather data products. Changes in the water levels of confined groundwater can be regarded as a signal from deep underground, and a response coefficient of approximately −15 μGal/m was obtained. In addition, the response coefficient of the free groundwater level was determined to be approximately 5 μGal/m. Such array observations are expected to contribute to monitoring crustal activity and hydrological studies.

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Evidence of daily hydrological loading in GPS time series over Europe

Springer¹,

Karegar²,

Kusche³

et al. 2019

J Geod

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Globally gridded terrestrial water storage variations from GRACE satellite gravimetry for hydrometeorological applications

Abstract: (2016): Globally gridded terrestrial water storage variations from GRACE satellite gravimetry for hydrometeorological applications.

Cited by 18 publications

References 51 publications

Validation of terrestrial water storage variations as simulated by different global numerical models with GRACE satellite observations

Validation of terrestrial water storage variations as simulated by different global numerical models with GRACE satellite observations

Vertical Gravimeter Array Observations and Their Performance in Groundwater‐Level Monitoring

Evidence of daily hydrological loading in GPS time series over Europe

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