Recent Results of the Chinese CMONOC GNSS Network

Chen, Junping; Yang, Sainan; Tan, Weijie; Wang, Jungang; Chen, Qian; Zhang, Yize

doi:10.33012/2017.15077

Cited by 13 publications

(12 citation statements)

References 4 publications

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“…We also established two cGPS stations across the XKF, with an inter-station distance of 10 km, in order to determine its slip rate and study the transformation of the slip pattern between the HYF and LPSF. These 10 stations formed a new regional network, named the Institute of Earthquake Forecasting Network (IEFNET), which was established on October 2012, following the Crustal Movement Observation Network of China (CMONOC) reference station standards, and has been operating since April 2013 [24]. Additionally, we collected 48 other cGPS observations in this region, from two networks.…”

Section: Gps Observationsmentioning

confidence: 99%

“…This network was established in 2009 to benefit the monitoring and investigation of tectonic movement and environmental change in China. The remaining 26 stations belong to a regional network (REGENT) which was installed by local agencies with earthquake, meteorology, and surveying and mapping, in order to increase the spatial density of GPS sites in key tectonic areas and provide positioning services [24]. This regional network has been operational since January 2010, following the CMONOC reference station standards.…”

Section: Gps Observationsmentioning

confidence: 99%

“…The second-order ionosphere effects were correlated with the total electron content and geomagnetic field [28]. Vertical Total Electron Content (VTEC) maps, from the Center for Orbit Determination in Europe (CODE), and the newly updated geomagnetic field model IGRF12 [30,31], from the international geomagnetic reference, were applied in order to mitigate their influences [24]. An automatic cleaning algorithm was applied to check raw data for better handling of poor data by repairing cycle slips and removing outliers [27].…”

Section: Gps Data Processingmentioning

confidence: 99%

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Crustal Deformation on the Northeastern Margin of the Tibetan Plateau from Continuous GPS Observations

Yao

et al. 2018

Remote Sensing

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We installed 10 continuous Global Positioning System (GPS) stations on the northeast margin of the Tibetan Plateau at the end of 2012, in order to qualitatively investigate strain accumulation across the Liupanshan Fault (LPSF). We integrated our newly built stations with 48 other existing GPS stations to provide new insights into three-dimensional tectonic deformation. We employed white plus flicker noise model as a statistical model to obtain realistic velocities and corresponding uncertainties in the ITRF2014 and Ordos-fixed reference frame. The total velocity decrease from northwest to southeast in the Longxi Block (LXB) was 5.3 mm/yr within the range of 200 km west of the LPSF on the horizontal component. The first-order characteristic of the vertical crustal deformation was uplift for the northeastern margin of the Tibetan Plateau. The uplift rates in the LXB and the Ordos Block (ORB) were 1.0 and 2.0 mm/yr, respectively. We adopted an improved spherical wavelet algorithm to invert for multiscale strain rates and rotation rates. Multiscale strain rates showed a complex crustal deformation pattern. A significant clockwise rotation of about 30 nradians/yr (10−9 radians/year) was identified around the Dingxi. Localized strain accumulation was determined around the intersectional region between the Haiyuan Fault (HYF) and the LPSF. The deformation pattern across the LFPS was similar to that of the Longmengshan Fault (LMSF) before the 2008 Wenchuan MS 8.0 earthquake. Furthermore, according to the distributed second invariant of strain rates at different spatial scale, strain partitioning has already spatially localized along the Xiaokou–Liupanshan–Longxian–Baoji fault belt (XLLBF). The tectonic deformation and localized strain buildup together with seismicity imply a high probability for a potential earthquake in this zone.

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Section: Gps Observationsmentioning

confidence: 99%

Section: Gps Observationsmentioning

confidence: 99%

Section: Gps Data Processingmentioning

confidence: 99%

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Crustal Deformation on the Northeastern Margin of the Tibetan Plateau from Continuous GPS Observations

Yao

et al. 2018

Remote Sensing

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“…(1) CMONOC ZTD CMONOC is a ground observation infrastructure compatible with high spatial and temporal resolutions, high precision, multi-scale, real-time, and multiple satellite positioning systems based on the original crustal movement observation network. CMONOC comprises more than 260 GNSS stations that are mainly used for continuous earthquake prediction [23], geodesy [24], and weather prediction [25]. Therefore, CMONOC provides abundant and high-precision historical information for GNSS [26].…”

Section: B Data Descriptionmentioning

confidence: 99%

Retrieval of a High-Precision Drought Monitoring Index by Using GNSS-Derived ZTD and Temperature

Zhao¹,

Ma²,

Yao³

2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Potential evapotranspiration (PET) is a key parameter for calculating drought monitoring index that is generally difficult to obtain. In addition, PET has low spatial resolution and can only be obtained at a site-based point. Therefore, retrieving PET with high precision, high spatial resolution, and less meteorological data becomes the focus of this paper. In this paper, a high-precision and highspatial-resolution drought monitoring (HDM) model was established to accurately calculate PET by using the zenith troposphere delay (ZTD) derived from global navigation satellite system (GNSS) and temperature (T). The initial PET value was calculated by using the PET periodical model based on Penman-Monteith (PM)-derived PET. The PET difference (DET) between the PM and periodic model was then calculated, and a multiple linear regression model was established to fit DET by using the ZTD and T differences at meteorological stations. To improve the spatial resolution of the calculated PET, a spherical harmonic function was applied to fit the coefficients of these stations. The HDM-derived PET at grid points was eventually obtained by using the fitted coefficients and ZTD/T. The HDM-derived PET and standardized precipitation evapotranspiration index (SPEI) were compared with those from the Thornthwaite (TH) and revised TH (RTH) models over the loess plateau (LP) area with the PM-derived PET and SPEI as references. Comparison results highlight the excellent performance of the proposed HDM model and the Pearson's correlations of SPEI between the HDM and PM models all exceeded 0.96 under different month scales.

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“…The CMONOC network includes around 1000 permanent stations distributed almost homogeneously over most of China's territory. This number of stations provides dense local coverage of ionosphere piercing points (IPPs) (Chen et al 2017), which is quite a challenging dataset for testing of local data modeling by stochastic techniques.…”

Section: Vtec Test Datamentioning

confidence: 99%

On the drawback of local detrending in universal kriging in conditions of heterogeneously spaced regional TEC data, low-order trends and outlier occurrences

Jarmołowski

Wielgosz

Ren

et al. 2020

J Geod

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The study intercompares three stochastic interpolation methods originating from the same geostatistical family: least-squares collocation (LSC) known from geodesy, as well as ordinary kriging (OKR) and universal kriging (UKR) known from geology and other geosciences. The objective of this work is to assess advantages and drawbacks of fundamental differences in modeling between these methods in imperfect data conditions. These differences primarily refer to the treatment of the reference field, commonly called ‘mean value’ or ‘trend’ in geostatistical language. The trend in LSC is determined globally before the interpolation, whereas OKR and UKR detrend the observations during the modeling process. The approach to detrending leads to the evident differences between LSC, OKR and UKR, especially in severe conditions such as far from the optimal data distribution. The theoretical comparisons of LSC, OKR and UKR often miss the numerical proof, while numerical prediction examples do not apply cross-validation of the estimates, which is proven to be a reliable measure of the prediction precision and a validation of empirical covariances. Our study completes the investigations with precise parametrization of all these methods by leave-one-out validation. It finds the key importance of the detrending schemes and shows the advantage of LSC prior global detrending scheme in unfavorable conditions of sparse data, data gaps and outlier occurrence. The test case is the modeling of vertical total electron content (VTEC) derived from GNSS station data. This kind of data is a challenge for precise covariance modeling due to weak signal at higher frequencies and existing outliers. The computation of daily set of VTEC maps using the three techniques reveals the weakness of UKR solutions with a local detrending type in imperfect data conditions.

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Recent Results of the Chinese CMONOC GNSS Network

Cited by 13 publications

References 4 publications

Crustal Deformation on the Northeastern Margin of the Tibetan Plateau from Continuous GPS Observations

Crustal Deformation on the Northeastern Margin of the Tibetan Plateau from Continuous GPS Observations

Retrieval of a High-Precision Drought Monitoring Index by Using GNSS-Derived ZTD and Temperature

On the drawback of local detrending in universal kriging in conditions of heterogeneously spaced regional TEC data, low-order trends and outlier occurrences

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