An Evaluation of Recent Global Geopotential Models for Strip Area Project in Turkey

Doğanalp, Serkan

doi:10.15446/esrj.v20n3.55440

Cited by 6 publications

(5 citation statements)

References 27 publications

(23 reference statements)

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“…After the launch of the GOCE mission, GOCE based GGMs (2010-2012) in the whole of Turkey and in two local areas in the northwest of Turkey, namely Istanbul and Sakarya [46], in Bursa [47] in the western part of Turkey (37.30 N ⩽ ϕ ⩽ 40.44 N; 28.48 E ⩽ λ ⩽ 32.71 E) defining a total area of ~133.000 km 2 (350 km × 380 km) [48], and in the high-speed train route between Konya and Polatli (Ankara), which is 210 km long [49] were tested by combining GPS/levelling data. The results suggested that GOCE models show improvements over EGM2008.…”

Section: Study Areamentioning

confidence: 99%

Evaluation of global gravity models from absolute gravity and vertical gravity gradient measurements in Turkey

Akdoğan¹,

Yıldız²,

Ahi³

2019

Meas. Sci. Technol.

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A global gravity model (GGM) is a mathematical function describing the gravity field of the Earth. The assessment of GGMs involves identifying the best-fitting model to local gravity field for geodetic and geophysical applications. Thus, highly accurate independent datasets are required to obtain the appropriate model. In general, GPS/levelling data have been used for this purpose. If these measurements are not performed simultaneously, they may not be reliable due to vertical deformations especially in seismically active countries. Therefore, we used highly precise absolute and vertical gravity gradient measurements obtained by the Scientific and Technological Research Council of Turkey’s (TUBITAK) National Metrology Institute and General Directorate of Mapping within the frame of Turkish Height System Modernization and Gravity Recovery Project over the period of 2016–2018 from Turkey to choose the best GGM for the whole of Turkey among the 19 latest tested satellite-only and combined GGMs (2004–2018). Our results showed that vertical gravity gradient measurements could also be used for the regional validation of GGMs as an independent in situ dataset. The GOCE based XGM2016 combined model and GO_CONS_GCF_2_TIM_R5 satellite-based model were found to be the best-fitting models. The results also showed improvements over the widely used EGM2008 up to the spherical degree 270 for Turkey. The improvements of the GOCE models over the EGM2008 model are mostly seen in mountainous areas such as the Black sea, Aegean Sea, some parts of the Mediterranean, and South-eastern Anatolia regions with maximum improvements in the coastal areas of the Eastern Black Sea. The best-fitting GGMs to local gravity field identified with these measurements could be used for further geodetic and geophysical purposes in Turkey.

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Section: Study Areamentioning

confidence: 99%

Evaluation of global gravity models from absolute gravity and vertical gravity gradient measurements in Turkey

Akdoğan¹,

Yıldız²,

Ahi³

2019

Meas. Sci. Technol.

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“…However, the effectiveness of these models in specific regions depends on their inherent quality and parameter settings [6]. Several studies by Doganalp [7], Nicacio et al [8], Goyal et al [9], Lee and Kwon [10], and Nyoka et al [11], have conducted evaluations in their respective fields to identify the most suitable model. Recent research by Wu et al [12] compared two gravity field models, XGM2016 and EGM2008, and found that the selection of the gravity field model significantly affects the accuracy of the geoid model within the study area.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Impact of the Recent Combined and Satellite-Only Global Geopotential Model on the Gravimetric Geoid Model

Azmin,

Pa’suya,

Din

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Geoid represents Earth’s surface, ocean, and gravitational field, which influence the elevations, shape, and mass distribution of the geopotential surface, a hypothetical surface that is perpendicular to the direction of gravity at every point. This geopotential surface serves as a reference for measuring elevations and is used as a fundamental reference surface for geodetic and surveying purposes. In this study, the Least Squares Modification of Stokes Formula (LSMS) with Additive Corrections (AC), also known as the KTH method, is used to generate a new gravimetric geoid model for Peninsular Malaysia. The KTH method was developed at the Royal Institute of Technology (KTH) in Stockholm-Sweden. The dataset used is the most recent global digital elevation model, Shuttle Radar Topography Mission (SRTM) 1 Arc-Second Global, generated by the National Aeronautics and Space Administration (NASA) and the National Imagery and Mapping Agency (NIMA). In addition to this elevation data, the dataset includes the Global Geopotential Model (GGM), which is composed of the XGM2016, XGM2019e, Tongji_GGMG2021S, and Tongji-Grace02k models. Furthermore, it incorporates sets of regional gravity data, including terrestrial gravity, airborne gravity, and marine gravity anomalies, all of which are derived from the Technical University of Denmark (DTU 21). The actual 45 Global Navigation Satellite System (GNSS)-levelling points data have been compared to the gravimetric geoid model developed in this study and the geoid acquired from Department of Survey and Mapping Malaysia (DSMM). According to the statistical results, NXGM2019e provides better accuracy, with the Root Mean Square Error (RMSE) geoid model errors of ±0.033 m, compared to the deviations in free-air anomalies, XGM2019e, which has the minimum RMSE of 10.291 mGal. Meanwhile, Tongji-GMMG2021S has the maximum RMSE of 14.792 mGal. The geoid is derived from the XGM2019e model and has maximum and minimum values of 0.032 m and 0.147 m, respectively, with mean residuals of 0.089 m. In conclusion, the XGM2019e has the potential to determine a precise local geoid model for Peninsular Malaysia

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“…The Earth's gravity field can be determined using satellite gravimeters. Various studies have been conducted using several satellite gravimeters, e.g., CHAMP (CHAllenging Minisatellite Payload), GRACE/GRACE-FO (Gravity Recovery And Climate Experiment/-Following On) and GOCE (Gravity field and steady-state Ocean Circulation Explorer), to produce geopotential models [3,12,23,22].…”

Section: Introductionmentioning

confidence: 99%

Sensing the Terrestrial and Atmospheric Hydrological Dynamic using Satellite Gravimeter and GNSS

Bramanto

Sarsito

Gumilar

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Geodetic observation methods, e.g., satellite gravimeter and Global Navigation Satellite System (GNSS), are mainly used for determining the Earth’s gravity field and reference system. However, many efforts have been made to adopt the mentioned methods for estimating hydrological dynamics. The satellite gravimeter of the Gravity Recovery and Climate Experiment and its Following-On missions (GRACE/GRACE-FO) have proven to capture the terrestrial hydrological variation. Also, thanks to its signal propagation through the atmosphere medium, GNSS can be used for sensing the hydrology variation in the atmosphere, i.e., troposphere medium. This study aims to explore GRACE/GRACE-FO and GNSS observations to estimate the respective terrestrial and atmospheric hydrological variation in Bandung, Indonesia. Monthly solutions of GRACE/GRACE-FO provided by three agencies were used to estimate the terrestrial hydrological variation. We also used the continuous GNSS site of ITB1 and calculated the atmospheric hydrological series in the form of precipitable water vapor. We found that the terrestrial hydrological series varies approximately ±20 cm, while the precipitable water vapor ranges between 1 to 5 centimeters. Further, we observed long-wavelength components from terrestrial and atmospheric hydrological variations that correspond to dry and wet seasons. However, we only sensed shorter wavelength components of hydrological dynamic from GNSS observation and not for the GRACE as the estimated hydrological variations were estimated monthly. At the same time, delays were calculated every two hours using GNSS observations. Nevertheless, this study shows the potential uses of geodetic approaches such as satellite gravity and GNSS observations to capture the hydrological dynamic.

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An Evaluation of Recent Global Geopotential Models for Strip Area Project in Turkey

Cited by 6 publications

References 27 publications

Evaluation of global gravity models from absolute gravity and vertical gravity gradient measurements in Turkey

Evaluation of global gravity models from absolute gravity and vertical gravity gradient measurements in Turkey

Evaluating the Impact of the Recent Combined and Satellite-Only Global Geopotential Model on the Gravimetric Geoid Model

Sensing the Terrestrial and Atmospheric Hydrological Dynamic using Satellite Gravimeter and GNSS

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