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Monthly GRACE detection of coseismic gravity change associated with 2011 Tohoku-Oki earthquake using northern gradient approach
- Jin Li^{1, 2} and
- Wen-Bin Shen^{1, 3}Email author
https://doi.org/10.1186/s40623-015-0188-0
© Li and Shen; licensee Springer. 2015
- Received: 3 September 2014
- Accepted: 15 January 2015
- Published: 24 February 2015
Abstract
We demonstrate that the coseismic gravitational changes due to the 2011 M _{ w } = 9.0 Tohoku-Oki earthquake are detectable by GRACE with only 1-month data after the earthquake, which is also supported by a simulation test using the seismic-signal-contained observations synthesized with the signals of a dislocation model prediction. The commonly used destriping to filter correlated errors in GRACE coefficients tends to distort the true coseismic signals in both amplitude and spatial pattern. In order to better retrieve coseismic gravitational signals, we apply a northern gravity gradient approach with the filter of spatial averaging and without destriping. The coseismic northern gravity gradient changes of Tohoku-Oki earthquake are extracted from the monthly data of April 2011, which reveal a positive-negative-positive spatial pattern and agree with the model prediction. The northern gradient approach provides an efficient means to detect coseismic signals and potentially constrain fault slip models with large-scale gravitational changes using limited time span of monthly GRACE solutions.
Keywords
- Monthly GRACE solution
- Coseismic gravity change
- Northern gravity gradient
- Dislocation model
- Tohoku-Oki earthquake
Background
Coseismic gravity changes of very large earthquakes have been detected by Gravity Recovery and Climate Experiment (GRACE) since its launch in 2002, including the 2004 M _{ w } = 9.1 Sumatra-Andaman earthquake (e.g., Han et al. 2006; Chen et al. 2007), 2010 M _{ w } = 8.8 Maule (Central Chile) earthquake (e.g., Han et al. 2010; Heki and Matsuo 2010), 2011 M _{ w } = 9.0 Tohoku-Oki earthquake (e.g., Matsuo and Heki 2011; Han et al. 2011; Wang et al. 2012a; Zhou et al. 2012; Cambiotti and Sabadini 2012, 2013; Dai et al. 2014), and the 2012 M _{ w } = 8.6 Wharton basin earthquake off-Sumatra (Han et al. 2013). Attributing to the wide availability of various seismologic and geodetic observations for the Japan areas, the slips associated with 2011 Tohoku-Oki earthquake have been well constrained, using seismic wave data (e.g., Hayes 2011; Shao et al. 2011; Suzuki et al. 2012), land global positioning system (GPS) and seafloor bathymetry data (e.g., Chang and Chao 2011; Ito et al. 2011; Suito et al. 2011; Sato et al. 2011; Sleep 2012), InSAR data (e.g., Kobayashi et al. 2011), etc. As the second largest earthquake event during the GRACE mission, the Tohoku-Oki earthquake has provided good opportunities to verify the GRACE's sensitivity as well as its potential constraint to study huge earthquakes.
GRACE level 2 data released with monthly spherical harmonic (SH) coefficients are contaminated by north-south stripe errors, and the stripe errors are related with the correlated errors among the SH coefficients (Swenson and Wahr 2006). To suppress the correlated errors, a high-pass filter is usually designed by fitting the coefficients with polynomials, which is considered as destriping. Chen et al. (2007) and Heki and Matsuo (2010) used a filter including destriping first and then spatial averaging to reduce noises and retrieve seismic signals associated with large earthquakes. Several other previous studies also employed destriping to extract the coseismic gravitational changes due to 2011 Tohoku-Oki earthquake (e.g., Matsuo and Heki 2011; Zhou et al. 2012). Nevertheless, destriping would distort and reduce real signals while suppressing stripes. Li and Shen (2011) found that the horizontal components of gravity gradient changes exhibit positive-negative-positive features due to the mass variations of a large thrusting earthquake and recommended a northern (latitude-direction) gravity gradient approach to detect the coseismic effects more efficiently due to the anisotropic sensitivity of GRACE observations. Later, Wang et al. (2012b) demonstrated the potential of gravity gradient approach in a more general sense. So far, GRACE observations have been applied to constrain fault slip models with large-scale gravity changes, but mostly from the direct use of level 1B (range and range-rate) data (e.g., Han et al. 2010, 2011, 2013). For the potential application of GRACE level 2 monthly solutions to constrain fault slips (which would be much more convenient by the simple processing of SH coefficients, if possible), it is essential to suppress stripe errors and retrieve true signals as much as possible for the observations.
In order to demonstrate the advantage of the northern gravity gradient approach in reducing stripe errors and extracting coseismic signals, we design a synthetic test based on the co- and postseismic gravity changes of the Tohoku-Oki earthquake predicted by a dislocation model. We obtain the seismic-signal-contained synthetic GRACE observations by adding the model-predicted gravity changes to real GRACE data. Then we retrieve the gravity changes and northern gravity gradient changes from the synthetic observations, in order to find out whether and how much the coseismic signature of the earthquake could be detected. Furthermore, we verify the synthetic results by retrieving the Tohoku-Oki earthquake's coseismic signals with the real GRACE data of April 2011. Results demonstrate the detecting sensitivity using the northern gravity gradient changes even with very limited time span (e.g. only 1 month after the earthquake) of GRACE level 2 monthly data.
Methods
Synthetic test
The five-layer half-space Earth model used in the prediction of co- and postseismic gravity changes
Depth (km) | Density ( ρ ) (10 ^{ 3 } kg m ^{ −3 } ) | V _{ P } (km s ^{ −1 } ) | V _{ S } (km s ^{ −1 } ) | Viscosity ( η ) (10 ^{ 19 } Pa s) | Material type |
---|---|---|---|---|---|
0-1 | 2.10 | 2.10 | 1.00 | ∞ | Elastic |
1-8 | 2.70 | 6.00 | 3.40 | ∞ | Elastic |
8-15 | 2.90 | 6.60 | 3.70 | ∞ | Elastic |
15-22 | 3.05 | 7.20 | 4.00 | ∞ | Elastic |
22-∞ | 3.40 | 8.20 | 4.70 | 0.93 | Maxwell body |
The monthly GRACE gravity solutions used in the synthetic test are level 2 (RL05) products from the University of Texas Center for Space Research (UTCSR), including 49 monthly data sets from January 2007 to February 2011 (with the data of January 2011 absent due to observing problems of the GRACE satellites). Each monthly data set consists of the SH coefficients with degree and order to 60. We replace the GRACE C _{20} coefficients with SLR estimates (Cheng and Tapley 2004; Cheng et al. 2013). We also note that the 0 and 1 degree terms are not included in the computation, as the GRACE monthly solutions do not recover the degree 0 and 1 SH coefficients for the Earth's time-variable gravitational field.
In the synthetic test, we assume that an identical earthquake as the Tohoku-Oki event occurred in March 2009 at the same place in the Japan Trench. We disassemble the model-predicted co- and postseismic gravity changes into SH coefficients to degree 60, omit the 0 and 1 degree terms, and add the predicted SH coefficients to the monthly GRACE data. The converted model SH-coefficient data sets cover the period from March 2009 to February 2011, with that of January 2011 excluded due to the absence of GRACE data for this month. By the above synthesizing, 2 years of seismic-signal-contained GRACE observations after the synthetic earthquake are available for the synthetic test.
We apply a modified stacking approach based on that from Chen et al. (2007) to retrieve the coseismic signals in the synthetic monthly GRACE observations. While Chen et al. (2007) directly stack the monthly data sets of a time span to obtain the mean field before and after the earthquake, here we remove the seasonal variations and also the linear trends (before and after the earthquake, respectively) by time series fitting before the stacking. The fitting in advance to the stacking would evidently reduce the impact of linear trends preceding and following the earthquake, which could contaminate the coseismic jumps if retrieved by direct stacking. It should be noted that the seasonal variations would also affect the coseismic signal retrieval when the time span is less than 1 year for the direct stacking approach. To implement the modified stacking approach, first we filter the GRACE coefficients with destriping and Gaussian smoothing and calculate the gravity changes at the grid points in the region of interest. Then we remove the seasonal variations and linear trends by the time series fitting, which consists of two linear trend terms before and after the earthquake, seasonal (including annual and semiannual) terms, and a piecewise step term preceding and following the earthquake.
For the destriping processing, we employ two approaches, one of which is the P3M6 destriping from Chen et al. (2007) and the other is the method provided by Duan et al. (2009) (referred as Duan09 destriping hereinafter). For the sake of comparing the retrieved coseismic signals (from synthetic observations) with model prediction under same data processing, we provide the model-predicted gravity changes after destriping plus 300 km Gaussian smoothing in Figure 2c,d, for P3M6 and Duan09 destriping approaches, respectively. Compared with the ‘−11.7 to +5.6 μGal’ results without destriping (Figure 2a), the peak-to-peak range of model gravity changes is evidently reduced, to ‘−9.1 to +3.6 μGal’ (Figure 2c) and ‘−7.3 to +2.6 μGal’ (Figure 2d), respectively. Moreover, the spatial pattern after destriping is distorted, namely, extruded wider in the east-west direction. This reveals the obvious impact of destriping filter on coseismic gravity changes, both in amplitude and spatial pattern. The Duan09 destriping appears to reduce the amplitude and distorts the spatial pattern even more, probably due to its stronger filter to SH coefficients.
From the 4-year synthetic GRACE observations, we obtain the differences between the mean over 2 years before (from April 2007 to February 2009) and after (from April 2009 to February 2011) the synthetic earthquake, which are considered as the coseismic gravity changes retrieved by stacking approach. The gravity changes are shown in Figure 2e,f, representing the results by the filter of P3M6 destriping plus 300 km Gaussian smoothing and by that of Duan09 destriping plus 300 km Gaussian smoothing, respectively. For the land area at the northwestern corner of the region of interest, the extracted gravity changes exhibit positive anomalies (see both Figure 2e,f), which are possibly related with the unfitted inter-annual hydrological effect as the area is quite far away from the epicenter. For the areas surrounding the epicenter, the gravity changes predominantly show negative-positive feature that is consistent with the model prediction. The peak-to-peak ranges are ‘−9.2 to +3.7 μGal’ and ‘−7.3 to +3.5 μGal’ for the results in Figure 2e,f, respectively, agreeing well with the model-predicted coseismic gravity changes with corresponding filters in Figure 2c,d. The spatial patterns are also consistent between the retrieved and model-predicted gravity changes. Nevertheless, neither result in Figure 2c or 2d is the ‘true signal’ for the coseismic gravity changes with 300 km spatial resolution, as they are both reduced and distorted by the destriping filter. It should be noted that the destriping filter is dedicated to remove or reduce GRACE stripe errors, which means ideally it should not affect the true signature. But practically, it inevitably introduces artificial impact on the signals when applied to the model-predicted coseismic gravity changes. Thus, the true signal (under 300 km resolution) should be the gravity changes without destriping, as shown in Figure 2a. According to the peak-to-peak range and spatial pattern of true coseismic gravity changes (under 300 km resolution, see Figure 2a), the retrieved signals in Figure 2c,d evidently deviate from the truth, indicating that the destriping could lead to obvious effect of reduction and distortion for coseismic gravity changes.
Figure 4c,d depicts the northern gravity gradient changes with 300 km Gaussian smoothing only (without destriping) for the near field and global field, respectively. As a result of the suppressing effect of the northern gravity gradient changes on the north-south stripes, the signals in Figure 4d are less contaminated by stripes than those in Figure 4b. Since GRACE observations are of anisotropic sensitivity due to the along-orbit measurements of the two near-polar-orbit satellites, the signal-to-noise ratio (SNR) in the longitudinal direction should be higher (Li and Shen 2011). The positive-negative-positive gradient changes in the near field of Figure 4c range from ‘+2.6 to −2.9 to +1.2’ × 10^{−13} s^{−2} and coincide quite well with the ‘true signal’ as shown in Figure 3a for both amplitude and spatial pattern. Therefore, Figure 4c indicates a better detection of the coseismic gravitational associated with the earthquake, where the retrieved signals are less contaminated by stripes (compared with that in Figure 4a), attributing to the suppressing effect of northern gradient approach on GRACE stripe errors even though destriping is not applied here.
Figure 4e,f denotes the time series from January 2007 to February 2011 of the synthetic GRACE observations at some picked-up points marked as white triangles in Figure 4a,c, with the filter of 300 km Gaussian smoothing only (without destriping) to the monthly synthetic data. The time series show that the amplitude of the jumps at the time of earthquake is larger than that of the other variations during the period of 4 years, indicating that the coseismic gravitational changes of the earthquake are within the observing capability of GRACE. We fit the time series with seasonal (annual and semiannual) terms, linear trend terms before and after the synthetic earthquake (respectively), and a coseismic jump term. Then we extract the linear trends before and after the earthquake and also the coseismic jumps (see the solid-step lines in Figure 4e,f). The coseismic gravity and gravity-gradient jumps are well retrieved by the fitting of time series when compared with the model prediction. Nevertheless, it could be noted that there are some irregular peaks in the time series of gravity changes in Figure 4e possibly due to the unfiltered stripe errors, while the time series of northern gravity gradient changes in Figure 4f show relatively smaller irregular peaks, again demonstrating the suppressing ability of the northern gradient changes.
Based on synthetic tests, we could take advantage of the prior knowledge for the true signal; thus, we are able to assess the efficiency and reliability of the GRACE filter in retrieving coseismic gravity changes. According to the results by synthetic test, we find that the destriping filter tends to evidently reduce the amplitude and distort the spatial pattern of the true coseismic signals. Nevertheless, the northern gravity gradient approach provides a good means to suppress stripe errors and extract coseismic signals from GRACE observations. The positive-negative-positive pattern in northern gradient changes could better capture the coseismic signals than the negative-positive pattern from gravity changes. Therefore, to retrieve the coseismic variations using monthly GRACE solutions, we suggest using the northern gradient approach and employing the spatial averaging (e.g., Gaussian smoothing) only without destriping. This recommended gradient approach especially applies for the case of detecting coseismic gravitational changes with a time span of limited length (e.g., a few months or even only 1 month after the earthquake).
Results
One-month GRACE data detection
In consideration of the northern gravity gradient approach recommended by the synthetic test, we provide the northern gradient changes in Figure 6d,e, with the filters of ‘300 km Gaussian smoothing only’ and ‘P3M6 destriping plus 300 km Gaussian smoothing’, respectively. We retrieve obvious positive-negative-positive patterns of gradient changes for both results in Figure 6d,e, with peak-to-peak ranges of ‘+1.7 to −2.3 to +0.8’ × 10^{−13} s^{−2} and ‘+1.8 to −2.2 to +0.8’ × 10^{−13} s^{−2}, respectively. The positive-negative-positive spatial pattern agrees well with the model prediction for northern gravity gradient changes in Figure 3a. We also provide the northern gravity gradient changes from GRACE data set 1 month before the earthquake (February 2011), which are supposed not to contain the coseismic signals. The results with 300 km Gaussian smoothing only are shown in Figure 6f. The gradient changes of February 2011 range relatively smaller than those of April 2011, from −0.7 to +0.7 × 10^{−13} s^{−2}, and do not show any obvious positive-negative-positive pattern around the fault plane. The peak-to-peak range of gradient changes for the February 2011 field probably imply the variation level from the unfiltered GRACE stripe errors as well as other land and oceanic mass-change effects in the region, which is significantly under the positive-negative-positive amplitude of signals detected from the April 2011 field. This demonstrates that the coseismic northern gravity-gradient changes are well detectable using only 1-month GRACE solution after the 2011 Tohoku-Oki earthquake and also verifies the conclusions of the synthetic test.
Despite the good agreement in positive-negative-positive spatial pattern between retrieved and model-predicted northern gravity gradient changes, the amplitude of retrieved results is smaller than that of the model prediction (compare Figure 6d,e with Figure 3a,b, respectively). The reduction in amplitude for the signal retrieval possibly attributes to the influence of residual stripes in the monthly GRACE data, as only 1-month data set is used for the signal extraction and thus the SNR is relatively weaker compared with that from series of data sets. One should also keep in mind that the northern gradient approach could only suppress (or reduce) stripe errors rather than completely remove them. Moreover, the uncertainty of the fault slips employed for the dislocation model prediction would also contribute to the discrepancies between the GRACE-observed and model-predicted coseismic gravitational changes.
Discussion
The postseismic gravity changes of +0.40 μGal year^{−1}, which are predicted by a Maxwell viscosity simulation in the dislocation model for the synthetic test in this study, do not necessarily represent the true postseismic gravity changes following the 2011 Tohoku-Oki earthquake. The Maxwell-body model may not well describe the truth of rheology for the asthenosphere in the Tohoku-Oki earthquake region. The model-predicted linear positive trend of 0.40 μGal year^{−1} for the postseismic gravity changes within two years after the earthquake probably underestimates the postseismic signals, compared with recent studies that demonstrate significant changes and biviscous rheology leading fast relaxation within a few months to a couple of years (e.g., Han et al. 2014; Hu et al. 2014; Sun et al. 2014; Watanabe et al. 2014). Han et al. (2014) reveal by careful processing to GRACE observations that the postseismic gravity increases by 6 μGal over a 500-km scale within a couple of years after the earthquake, which supports a biviscous relaxation with both transient and steady-state viscosities for the asthenosphere. Thus, the postseismic gravity changes are probably much larger than 0.80 μGal in 2 years and should not be negligible in the GRACE observations. However, it should be noted that the focus of this study is not on postseismic effect but on the retrieval of coseismic changes. The model-predicted postseismic gravity changes are only used to synthesize the seismic-signal-contained observations, for the sake of making the synthetic data as close as possible to the practice (compared with the simple case of synthesizing the observations with coseismic jumps only). In the data processing to retrieve coseismic signals, we remove the postseismic influence (approximately represented by the linear trend after the earthquake) by time series fitting. Therefore, the exact amplitude of postseismic changes would not evidently affect the coseismic signal retrieval. In other words, given much larger amplitude of postseismic gravity changes, the postseismic impact on signal retrieval would still be reduced to a confident level due to the processing of time series fitting. Therefore, the qualitative results and corresponding conclusions from the synthetic test would not change. Moreover, this study places particular emphasis on the coseismic signal detection with GRACE data of short time span after the earthquake (e.g., a few months or even only 1 month of data). The contamination of postseismic effect will not be obvious if data of short time span are employed.
It should be noted that the linear trend after the earthquake to fit the postseismic gravity changes is just a rough approximation within 2 years. A more practical and commonly used representation of the postseismic gravitational changes for GRACE observation is to apply the negative exponential function with a given relaxation time constant (e.g., Han et al. 2008; de Linage et al. 2009; Li et al. 2014) to describe the asthenosphere rheology of earthquake region.
Conclusions
We demonstrate by both synthetic tests and real-data case studies that the coseismic gravitational changes due to the 2011 Tohoku-Oki earthquake are detectable by GRACE with only 1-month data after the earthquake. Model prediction indicates that the negative-positive coseismic gravity changes due to the Tohoku-Oki earthquake range from −11.7 to +5.6 μGal at spatial resolution comparable as that of GRACE, and the corresponding northern gravity gradient changes show a positive-negative-positive pattern with a peak-to-peak range of +2.6 to −2.8 to +1.2 × 10^{−13} s^{−2}.
The filters applied to GRACE data are critical in retrieving coseismic signals associated with large earthquakes. The results from synthetic tests reveal that the commonly used destriping filter for GRACE data tends to introduce significant amplitude reduction and spatial pattern distortion for coseismic signal extraction. The northern gravity gradient approach with the filter of spatial averaging only (without destriping) is recommended in order to better extract coseismic signals from monthly GRACE solutions. This gradient approach particularly applies for the detection of coseismic signals with limited time span (e.g., a few months after the earthquake) of monthly GRACE solutions and potentially provides a means to constrain fault slip models with large-scale gravitational changes from GRACE observations.
With only 1-month GRACE data of April 2011, we retrieve the coseismic gravitational signals of Tohoku-Oki earthquake using the northern gravity gradient approach. The extracted northern gravity gradient changes show obvious positive-negative-positive spatial pattern that agrees with the model prediction. Even though there are slight amplitude discrepancies between the GRACE observation and model prediction probably due to unfiltered stripe errors as well as fault slip model uncertainties, the detection shows a successful example with only 1-month data and well demonstrates the potential of northern gradient approach to retrieve coseismic signals. Given the postseismic deformation that is particularly evident at large scale (which has been discussed in the above section), the detection of coseismic deformation immediately after the rupture is important. Therefore, the northern gradient approach could be an effective way to process GRACE data and analyze large earthquake deformation.
Declarations
Acknowledgements
We thank the ARIA team at JPL and Caltech for providing the preliminary GPS displacement data (version 0.1). All original GEONET RINEX data are provided to Caltech by the Geospatial Information Authority (GSI) of Japan. We thank CSR for providing the GRACE data. We appreciate the discussion with Drs. Jiancheng Han and Rong Sun about the technical details in plotting the figures. We are grateful to the two anonymous reviewers for their insightful comments, which led to significant improvement of the manuscript. This study is supported by National 973 Project China (grant no. 2013CB733302), NSFC (grant nos. 41174011, 41204017, 41228004, and 41429401), and the Shanghai Postdoctoral Sustentation Fund (grant no. 13R21417900).
Authors’ Affiliations
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