The updated ESA Earth System Model for future gravity mission simulation studies

Dobslaw, Henryk; Bergmann-Wolf, Inga; Dill, Robert; Forootan, Ehsan; Klemann, Volker; Kusche, Jürgen; Sasgen, Ingo

doi:10.1007/s00190-014-0787-8

Cited by 82 publications

(77 citation statements)

References 24 publications

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“…At the Yukon basin, we found the bad performance of all models in terms of TWS when compared with GRACE, which could be due to the effects of atmospheric and oceanic de-aliasing errors not further discussed in our current study. In future, we would like to assess all possible errors of GRACE TWS through investigation of simulated GRACE-type gravity field time series based on realistic orbits and instrument error assumptions as well as background error assumptions out of the updated ESA Earth system model (Dobslaw et al, 2015), which we believe will further help to explain the discrepancy between global models of the terrestrial water cycle and GRACE satellite observations.…”

Section: Discussionmentioning

confidence: 99%

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: Discussionmentioning

confidence: 99%

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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“…It is based on the updated ESA Earth System Model (ESM), which covers the period from 1995 to 2016 and is complete to spherical harmonic degree 180 ( Dobslaw et al 2015). It employs state-of-the-art geophysical models to simulate gravity changes due to mass re-distribution within the Earth system.…”

Section: Simulation Of Grace Gsm Coefficientsmentioning

confidence: 99%

Statistically optimal estimation of degree-1 and C20 coefficients based on GRACE data and an ocean bottom pressure model

Sun¹,

Ditmar²,

Riva³

2017

Geophysical Journal International

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S U M M A R YIn this study, we develop a methodology to estimate monthly variations in degree-1 and C 20 coefficients by combing Gravity Recovery and Climate Experiment (GRACE) data with oceanic mass anomalies (combination approach). With respect to the method by Swenson et al., the proposed approach exploits noise covariance information of both input data sets and thus produces stochastically optimal solutions supplied with realistic error information. Numerical simulations show that the quality of degree-1 and -2 coefficients may be increased in this way by about 30 per cent in terms of RMS error. We also proved that the proposed approach can be reduced to the approach of Sun et al. provided that the GRACE data are noise-free and noise in oceanic data is white. Subsequently, we evaluate the quality of the resulting degree-1 and C 20 coefficients by estimating mass anomaly time-series within carefully selected validation areas, where mass transport is small. Our validation shows that, compared to selected Satellite Laser Ranging (SLR) and joint inversion degree-1 solutions, the proposed combination approach better complements GRACE solutions. The annual amplitude of the SLR-based C 10 is probably overestimated by about 1 mm. The performance of the C 20 coefficients, on the other hand, is similar to that of traditionally used solution from the SLR technique.

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“…The main geophysical constituents left in the GRACE data are therefore continental hydrology, cryosphere, solid earth and errors in the background models (Kurtenbach et al, 2012). For the daily solutions of the ITSG-Grace2014 release (Mayer-Gürr et al, 2014) used in this analysis, the model output of the updated ESA Earth System Model (Dobslaw et al, 2015) is used to approximate the unknown covariance structure of this residual gravity field signal. The 6-hourly model output is resampled to 1 day using daily averaging.…”

Section: Computation Of Daily Grace Solutionsmentioning

confidence: 99%

Daily GRACE gravity field solutions track major flood events in the Ganges–Brahmaputra Delta

Gouweleeuw

Kvas

Gruber

et al. 2018

Hydrol. Earth Syst. Sci.

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Abstract. Two daily gravity field solutions based on observations from the Gravity Recovery and Climate Experiment (GRACE) satellite mission are evaluated against daily river runoff data for major flood events in the GangesBrahmaputra Delta (GBD) in 2004 and 2007. The trends over periods of a few days of the daily GRACE data reflect temporal variations in daily river runoff during major flood events. This is especially true for the larger flood in 2007, which featured two distinct periods of critical flood level exceedance in the Brahmaputra River. This first hydrological evaluation of daily GRACE gravity field solutions based on a Kalman filter approach confirms their potential for gravity-based largescale flood monitoring. This particularly applies to shortlived, high-volume floods, as they occur in the GBD with a 4-5-year return period. The release of daily GRACE gravity field solutions in near-real time may enable flood monitoring for large events.

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The updated ESA Earth System Model for future gravity mission simulation studies

Cited by 82 publications

References 24 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

Statistically optimal estimation of degree-1 and C20 coefficients based on GRACE data and an ocean bottom pressure model

Daily GRACE gravity field solutions track major flood events in the Ganges–Brahmaputra Delta

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