EVALUACIÓN DEL DESPLAZAMIENTO VERTICAL DE ESTACIONES GNSS PRODUCIDO POR LA CARGA HIDROLÓGICA A PARTIR DEL ANALISIS ESPECTRAL Y FILTRADO DE LAS SERIES TEMPORALES GNSS, GRACE Y GLDAS
[EN] In this thesis it is introduced a method to filter GNSS height time series from vertical displacements derived from load variations in the Earth's surface, obtained from the monthly geopotential coefficients from the GRACE mission. These load variations are originated mainly by the sea...
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| Format: | doctoral thesis |
| Publication Date: | 2016 |
| Country: | España |
| Institution: | Universitat Politècnica de València (UPV) |
| Repository: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Language: | Spanish |
| OAI Identifier: | oai:riunet.upv.es:10251/61290 |
| Online Access: | https://riunet.upv.es/handle/10251/61290 |
| Access Level: | Open access |
| Keyword: | Series temporales GNSS GRACE GLDAS Análisis espectral INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA |
| Summary: | [EN] In this thesis it is introduced a method to filter GNSS height time series from vertical displacements derived from load variations in the Earth's surface, obtained from the monthly geopotential coefficients from the GRACE mission. These load variations are originated mainly by the seasonal hydrological variations as it can be confirmed from the hydrological GLDAS model. This filtering method is based on spectral analysis techniques that allow the manipulation of time series in both time and frequency domains. To test this method data from 66 IGS Core Network reference stations have been used. The origin of the GNSS data are the weekly solutions provided by the First Data Reprocessing Campaign carried out by IGS. Monthly level-2 data from GRACE Mission provided by GFZ, with a time-span of more than 11 years, have been used to generate hydrological load and equivalent water thickness monthly time series at every reference station from which GNSS data are available. In addition, soil water content time series have also been created from monthly GLDAS data. With the periodograms of the four time series datasets a signal with frequency close to 1 cycle per year is detected in the GNSS height, load, equivalent water thickness and GLDAS time series. As this signal has the same frequency in the equivalent water thickness and GLDAS time series it is confirmed that its origin is the hydrological cycle. Therefore the variations observed in the GNSS height and load time series can be explained, at least part of it, by these hydrological variations. The spectral filtering technique introduced in this thesis is based on the detection and isolation of the annual signal in the load time series from GRACE data. This process is done in the frequency domain by using the Discrete Fourier Transform (DFT) with the Fast Fourier Transform (FFT) algorithm. Using the linearity property of the DFT, the isolated annual signal from the load time series is subtracted from the DFT of the GNSS height time series in the frequency domain. The new time series in the frequency domain is the GNSS height without the annual signal generated by the hydrological variations in the GNSS reference station area. After testing the spectral filter with times series dataset from 66 reference stations, it is demonstrated that for stations in areas with important hydrological activity the GNSS height time series reduce their WRMS by 18 % on average, with some special cases where WRMS reduction is higher than 25 %. Other parameters like GNSS height vs. GRACE load correlation before and after the filtering process show a reduction of the correlation from 53.9 % to 15.0 % In areas where the hydrological variations are not clearly detected by GNSS and GRACE, like islands, coasts or deserts, there is no WRMS reduction, and other parameters do not show any improvement in the GNSS height time series after the filtering process. |
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