An evaluation of recent GOCE geopotential models in Brazil

Guimarães, Gabriel do Nascimento; Matos, Ana Cristina Oliveira Cancoro de; Blitzkow, Denizar

doi:10.2478/v10156-011-0033-8

Cited by 24 publications

(9 citation statements)

References 18 publications

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“…The evaluations of the models from the first to third releases were published by [70] using the terrestrial gravity data in Norway and [71] over the Earth by means of gravity gradients from the GOCE gradiometer data. There are also other studies that validate the GOCE-based GGMs over different regions using various terrestrial data sets including [72] (in Sudan), [73] (in Brazil), [74] (in Hungary) and [68] (in Germany). Reference [75] provides the recent results of regional validations of all releases over different countries.…”

Section: Overview Of the Regional Accuracies Of The Ggmsmentioning

confidence: 99%

An Assessment of the GOCE High-Level Processing Facility (HPF) Released Global Geopotential Models with Regional Test Results in Turkey

2020

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The launch of dedicated satellite missions at the beginning of the 2000s led to significant improvement in the determination of Earth gravity field models. As a consequence of this progress, both the accuracies and the spatial resolutions of the global geopotential models increased. However, the spectral behaviors and the accuracies of the released models vary mainly depending on their computation strategies. These strategies are briefly explained in this article. Comprehensive quality assessment of the gravity field models by means of spectral and statistical analyses provides a comparison of the gravity field mapping accuracies of these models, as well as providing an understanding of their progress. The practical benefit of these assessments by means of choosing an optimal model with the highest accuracy and best resolution for a specific application is obvious for a broad range of geoscience applications, including geodesy and geophysics, that employ Earth gravity field parameters in their studies. From this perspective, this study aims to evaluate the GOCE High-Level Processing Facility geopotential models including recently published sixth releases using different validation methods recommended in the literature, and investigate their performances comparatively and in addition to some other models, such as GOCO05S, GOGRA04S and EGM2008. In addition to the validation statistics from various countries, the study specifically emphasizes the numerical test results in Turkey. It is concluded that the performance improves from the first generation RL01 models toward the final RL05 models, which were based on the entire mission data. This outcome was confirmed when the releases of different computation approaches were considered. The accuracies of the RL05 models were found to be similar to GOCO05S, GOGRA04S and even to RL06 versions but better than EGM2008, in their maximum expansion degrees. Regarding the results obtained from these tests using the GPS/leveling observations in Turkey, the contribution of the GOCE data to the models was significant, especially between the expansion degrees of 100 and 250. In the study, the tested geopotential models were also considered for detailed geoid modeling using the remove-compute-restore method. It was found that the best-fitting geopotential model with its optimal expansion degree (please see the definition of optimal degree in the article) improved the high-frequency regional geoid model accuracy by almost 15%.

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Section: Overview Of the Regional Accuracies Of The Ggmsmentioning

confidence: 99%

An Assessment of the GOCE High-Level Processing Facility (HPF) Released Global Geopotential Models with Regional Test Results in Turkey

2020

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“…Neste trabalho, o comportamento regional foi determinado pelo conjunto de dados gravimétricos da cidade de São Paulo e de parte da região metropolitana (Figura 6) (Guimarães et al, 2013), cerca de 100 km ao redor da CUASO. Na área da CUASO, o regional pode ser definido como uma superfície suave e contínua, com tendência NS, variando entre -68,5 e -69,5 mGal.…”

Section: Separação Regional-residualunclassified

Mapas de anomalias gravimétricas da Cidade Universitária Armando Salles de Oliveira – USP/SP

Marangoni

Moura

Ferreira

2017

Geol. USP. Sér. Cient.

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A Cidade Universitária Armando de Salles Oliveira, da Universidade de São Paulo (CUASO –USP/SP), é considerada um laboratório natural de pesquisas em Ciências da Terra. Ao longo de mais de duas décadas, dados gravimétricos foram obtidos como forma de treinamento de alunos e técnicos, formando um conjunto de 787 pontos distribuídos em 8 km2. O mapa de anomalia ar-livre apresenta forte correlação com a topografia, enquanto o mapa de anomalia Bouguer não apresenta correlação com a topografia e a geologia. Este mapa permitiu identificar um gradiente EW centrado na área, revelando uma estrutura de subsuperfície, modelada, neste mesmo estudo, como uma falha praticamente vertical, com atitude 090/80 N e cerca de 50 m de deslocamento vertical.

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“…We have to mention here that several studies concerning the validation as well as the accuracy assessment of GOCE-based GGMs have been performed in different regions of the world by different research teams, e.g. [14] [15] [16] worldwide; [17] [18] in Germany; [19] in Central Europe: [20] in Poland; [21] in Norway; [22] in Brazil; [23] [24] in Sudan and [25] in Saudi Arabia.…”

Section: Introductionmentioning

confidence: 99%

On the Accuracy Assessment of the Latest Releases of GOCE Satellite-Based Geopotential Models with EGM2008 and Terrestrial GPS/Levelling and Gravity Data over Egypt

El-Ashquer¹,

Elsaka²,

El-Fiky³

2016

IJG

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The Global Geopotential Models (GGMs) of GOCE (Gravity Recovery and steadystate Ocean Circulation Explorer) differ globally as well as regionally in their accuracy and resolution based on the maximum degree and order (d/o) of the fully normalized spherical harmonic (SH) coefficients, which express each GGM. The main idea of this study is to compare the free-air gravity anomalies and quasi geoid heights determined from several recent GOCE-based GGMs with the corresponding ones from the Earth Gravitational Model 2008 (EGM2008) over Egypt on the one hand and with ground-based measurements on the other hand. The results regarding to the comparison of GOCE-based GGMs with terrestrial gravity and GPS/levelling data provide better improvement with respect to EGM2008. The 4th release GOCE-based GGM developed with the use of space-wise solution strategy (SPW_R4) approximates the gravity field well over the Egyptian region. The SPW_R4 model is accordingly suggested as a reference model for recovering the long wavelength (up to SH d/o 200) components of quasi geoid heights when modelling the gravimetric quasi-geoid over the Egypt. Finally, three types of transformation models: Four-, Fiveand Seven-parameter transformations have been applied to reduce the data biases and to provide a better fitting of quasi geoid heights obtained from the studied GOCE-based GGMs to those from GPS/levelling data. These models reveal that the standard deviation of vertical datum over Egypt is at the level of about 32 cm.

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An evaluation of recent GOCE geopotential models in Brazil

Cited by 24 publications

References 18 publications

An Assessment of the GOCE High-Level Processing Facility (HPF) Released Global Geopotential Models with Regional Test Results in Turkey

An Assessment of the GOCE High-Level Processing Facility (HPF) Released Global Geopotential Models with Regional Test Results in Turkey

Mapas de anomalias gravimétricas da Cidade Universitária Armando Salles de Oliveira – USP/SP

On the Accuracy Assessment of the Latest Releases of GOCE Satellite-Based Geopotential Models with EGM2008 and Terrestrial GPS/Levelling and Gravity Data over Egypt

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