Gravity recovery from SWOT altimetry using geoid height and geoid gradient

Yu, Daocheng; Hwang, Cheinway; Andersen, Ole; Chang, En‐Chi; Gaultier, Lucile

doi:10.1016/j.rse.2021.112650

Cited by 36 publications

(26 citation statements)

References 40 publications

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“…Nevertheless, in order to improve the accuracy of seafloor topography prediction, we should not only improve the accuracy of gravity data but also improve the resolution. The Next‐Generation SWOT (Surface Water Ocean Topography) Satellites may be a revolutionary improvement in marine gravity recovery (Morrow et al., 2019; Yu, Hwang, et al., 2021), and the SWOT ocean products will also provide the 1 km spatial resolution over oceans (Neeck et al., 2012).…”

Section: Discussionmentioning

confidence: 99%

Using an Iterative Algorithm to Predict Topography From Vertical Gravity Gradients and Ship Soundings

2022

Earth and Space Science

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As early as 1953, humans have summited Mount Qomolangma, Earth's highest peak. Nonetheless, 67 years later, China's Struggle submersible dived to the maximum depth of 10,909 m in 2020. This shows the difficulty of studying topography; however, the global sea depth plays an important role in the research of physical oceanography, marine ecology, marine geology, and other related geosciences, so the prediction of topography will be a very valuable topic (

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Section: Discussionmentioning

confidence: 99%

Using an Iterative Algorithm to Predict Topography From Vertical Gravity Gradients and Ship Soundings

2022

Earth and Space Science

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“…12a. Figure 12b shows the oceanic depths from multibeam measurements (Yu et al 2021). There are notable correlations between the gravity anomalies, VGGs, and the depths near the areas marked by the vertical green dashed lines.…”

Section: Vertical Gravity Gradient Determinationmentioning

confidence: 97%

“…As the altimeter technology advances, the accuracies and spatial resolutions of sea surface height (SSH) measurements improve over time. SSHs from satellite altimeters have been used to determine marine gravity anomalies since the era of Seasat in the 1970s (Haxby 1987;Hwang and Parsons 1995;Sandwell et al 2014;Yu et al 2021). Several global grids of marine gravity are now freely available, e.g., DTU17 (Andersen and Knudsen 2020) and Sandwell V31.1 (Sandwell and Smith 1997), vastly advancing marine geophysics and coastal gravity fields for geoid modeling.…”

Section: Introductionmentioning

confidence: 99%

Calibrating error variance and scaling global covariance function of geoid gradients for optimal determinations of gravity anomaly and gravity gradient from altimetry

Hwang

2022

J Geod

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With the advancements of satellite altimeter technology and data volume, the accuracy and spatial resolution of altimeter-derived marine gravity fields have been steadily improved. Ideally, a best marine gravity field from multi-altimeter missions is one that combines all data by optimally calibrating their relative weights. To this end, we use the minimum norm quadratic unbiased estimator theory to calibrate error variances of geoid gradients (GGs) from the Cryosat-2 mission and the Jason-1/2 geodetic missions and then use a scaling factor to modify the global covariance functions into local covariance functions. The calibrated error variances and the scaling factors are used in the least-squares collocation to estimate the gridded north and east components of GGs, which are used to compute gravity anomaly and vertical gravity gradient (VGG) by the methods of inverse Vening-Meinesz (IVM) and numerical differentiations. The assessment of the altimeter-derived gravity anomalies in the northern part of the South China Sea using the shipborne gravity data shows an average gravity accuracy improvement of 9.5% by calibrated and scaled covariances of GGs compared to the initial variances. The method for VGG computations is confirmed by examining the extinct ridges in the Gulf of Mexico.

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“…Geophysics, which mostly focuses on gravity and bathymetry, has shown a decreasing tendency over the last decade. We hypothesize that there may be some technical impediments for geophysics research using present satellite altimetry data, and it might be overcome by launching cutting-edge missions like the SWOT [10].…”

Section: Research Trend and Frontmentioning

confidence: 99%

“…As shown in Figure 1, the past and current satellite altimeters, including the ESA-1/2, Envisat, Sentinel-3A/B, Jason-1/2/3, Sentinel-6, HY-2A/B/C/D, SARAL/AltiKa, CryoSat-2, and ICESat/ICESat-2, have offered a homogeneous, high-precision, and long time series of Earth observations, particularly over the ocean [5][6][7][8][9]. The nearly 30 years of high-quality satellite altimetry data have greatly promoted the development of marine geodesy and oceanography to chart the statics and dynamics of the ocean from space [10][11][12]. Numerous studies have also been expanded to include other scientific fields, such as continental hydrology, the cryosphere, land topography, forest, soil, and even marine organisms and anthropology [3,13,14], demonstrating that satellite altimetry is of a wider scientific interest.…”

Section: Introductionmentioning

confidence: 99%

Satellite Altimetry: Achievements and Future Trends by a Scientometrics Analysis

Yang

Lin

Fan³

et al. 2022

Remote Sensing

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Scientometric reviews, facilitated by computational and visual analytical approaches, allow researchers to gain a thorough understanding of research trends and areas of concentration from a large number of publications. With the fast development of satellite altimetry, which has been effectively applied to a wide range of research topics, it is timely to summarize the scientific achievements of the previous 50 years and identify future trends in this field. A comprehensive overview of satellite altimetry was presented using a total of 8541 publications from the Web of Science Core Collection covering the years from 1970 to 2021. We begin by presenting the fundamental statistical results of the publications, such as the annual number of papers, study categories, countries/regions, afflictions, journals, authors, and keywords, in order to provide a comprehensive picture of satellite altimetry research. We discuss the co-occurrence of the authors in order to reveal the global collaboration network of satellite altimetry research. Finally, we utilised co-citation networks to detect the development trend and associated crucial publications for various specific topics. The findings show that satellite altimetry research has been changed immensely during the last half-century. The United States, France, China, England, and Germany made the most significant contributions in the field of satellite altimetry. The analysis reveals a clear link between technology advancements and the trend in satellite altimetry research. As a result, wide swath altimetry, GNSS-reflectometry, laser altimetry, terrestrial hydrology, and deep learning are among the most frontier study subjects. The findings of this work could guide a thorough understanding of satellite altimetry’s overall development and research front.

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Gravity recovery from SWOT altimetry using geoid height and geoid gradient

Cited by 36 publications

References 40 publications

Using an Iterative Algorithm to Predict Topography From Vertical Gravity Gradients and Ship Soundings

Using an Iterative Algorithm to Predict Topography From Vertical Gravity Gradients and Ship Soundings

Calibrating error variance and scaling global covariance function of geoid gradients for optimal determinations of gravity anomaly and gravity gradient from altimetry

Satellite Altimetry: Achievements and Future Trends by a Scientometrics Analysis

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