scholarly journals GSFC00 mean sea surface, gravity anomaly, and vertical gravity gradient from satellite altimeter data

2001 ◽  
Vol 106 (C12) ◽  
pp. 31167-31174 ◽  
Author(s):  
Yan Ming Wang
Keyword(s):  
Gravity Anomaly ◽  
Sea Surface ◽  
Surface Gravity ◽  
Altimeter Data ◽  
Gravity Gradient ◽  
Satellite Altimeter ◽  
Vertical Gravity Gradient ◽  
Mean Sea Surface ◽  
Vertical Gravity ◽  
Satellite Altimeter Data

scholarly journals Mean Sea Surface Model over the Sea of Japan Determined from Multi-Satellite Altimeter Data and Tide Gauge Records

2020 ◽  
Vol 12 (24) ◽  
pp. 4168
Author(s):  
Jiajia Yuan ◽  
Jinyun Guo ◽  
Yupeng Niu ◽  
Chengcheng Zhu ◽  
Zhen Li
Keyword(s):  
Sea Of Japan ◽  
Tide Gauge ◽  
Sea Surface ◽  
Altimeter Data ◽  
Surface Model ◽  
The Sea Of Japan ◽  
Tide Gauge Records ◽  
Satellite Altimeter ◽  
Mean Sea Surface ◽  
Satellite Altimeter Data

Mean sea surface (MSS) is an important datum for the study of sea-level changes and charting data, and its accuracy in coastal waters has always been the focus of marine geophysics and oceanography. A new MSS model with a grid of 1′ × 1′ over the Sea of Japan and its adjacent ocean (named SJAO2020) (25° N~50° N, 125° E~150° E) was established. It ingested 12 different satellites altimeter data (including TOPEX/Poseidon, Jason-1/2/3, ERS-1/2, Envisat, GFO, HaiYang-2A, SRL/Altika, Sentinel-3A, Cryosat-2) and 24 tide gauge stations’ records and joint GNSS data. The latter were used to correct the sea surface height within 10 km from the coastline by using the Gaussian inverse distance weighting method in SJAO2020. The differences among SJAO2020, CLS15, and DTU18, as well as the differences between them and the altimeter data of HY-2A, Jason-3, and Sentinel-3A were introduced. By comparing with tide gauge records, satellite altimeter data, and other models (DTU18, DTU15, CLS15, CLS11 and WHU13), it was demonstrated that SJAO2020 produces the smallest errors, and its coastal accuracy is relatively reliable.

The CNES_CLS11 Global Mean Sea Surface Computed from 16 Years of Satellite Altimeter Data

2012 ◽  
Vol 35 (sup1) ◽  
pp. 3-19 ◽  
Author(s):  
P. Schaeffer ◽  
Y. Faugére ◽  
J. F. Legeais ◽  
A. Ollivier ◽  
T. Guinle ◽  
...  
Keyword(s):  
Sea Surface ◽  
Altimeter Data ◽  
Satellite Altimeter ◽  
Mean Sea Surface ◽  
Satellite Altimeter Data ◽  
Global Mean

scholarly journals Seafloor Topography Estimation from Gravity Anomaly and Vertical Gravity Gradient Using Nonlinear Iterative Least Square Method

2020 ◽  
Vol 13 (1) ◽  
pp. 64
Author(s):  
Diao Fan ◽  
Shanshan Li ◽  
Xinxing Li ◽  
Junjun Yang ◽  
Xiaoyun Wan
Keyword(s):  
Gravity Anomaly ◽  
Least Square Method ◽  
Geoid Height ◽  
Least Square ◽  
Gravity Gradient ◽  
Seafloor Topography ◽  
Space Domain ◽  
Inversion Model ◽  
Vertical Gravity Gradient ◽  
Vertical Gravity

Currently, seafloor topography inversion based on satellite altimetry gravity data provides the principal means to predict the global seafloor topography. Researchers often use sea surface geoid height or gravity anomaly to predict sea depth in the space domain. In this paper, a comprehensive discussion on seafloor topography inversion formulas in the space domain is presented using sea surface geoid height, gravity anomaly and introduces an approach that uses vertical gravity gradient. This would be the first study to estimate seafloor topography by vertical gravity gradient in the space domain. Further, a nonlinear iterative least-square inversion process is discussed. Using the search area for the Malaysia Airlines Flight MH370 as study site, we used the DTU17 gravity anomaly model and SIO V29.1 vertical gravity gradient to generate the seafloor topography. The results of the proposed bathymetric models were analyzed and compared with the DTU18 and SIO V20.1 bathymetric models. The experimental results show that the gravity anomaly and vertical gravity gradient in the study area are strongly correlated with the seafloor topography in the 20–200 km wavelength range. The optimal initial iteration values for seafloor topography variance and correlation length are 0.6365 km2 and 10.5′, respectively. Shipborne measurements from SONAR data were used as external checkpoints to evaluate the bathymetric models. The results show that the RMS for BAT_VGG_ILS (inversion model constructed by vertical gravity gradient) is smaller than for BAT_GA_ILS (inversion model constructed by gravity anomaly) and BAT_GA_VGG_ILS (inversion model constructed by gravity anomaly and vertical gravity gradient). The relative accuracy of the DTU18 bathymetry model was 9.27%, while the relative accuracy of the proposed seafloor models was higher than 4%. Within the 200 m difference range, the proportion of checkpoints for BAT_VGG_ILS was close to 95%, about 80% for BAT_GA_ILS and BAT_GA_VGG_ILS, and less than 50% for the DTU18. The results show that the nonlinear iterative least square method in the space domain is feasible.

scholarly journals Jason continuity of services: continuing the Jason altimeter data records as Copernicus Sentinel-6

Ocean Science ◽  
2016 ◽  
Vol 12 (2) ◽  
pp. 471-479 ◽  
Author(s):  
Remko Scharroo ◽  
Hans Bonekamp ◽  
Christelle Ponsard ◽  
François Parisot ◽  
Axel von Engeln ◽  
...  
Keyword(s):  
Radio Occultation ◽  
Sea Surface ◽  
Altimeter Data ◽  
Climate Data ◽  
Satellite Altimeter ◽  
Data Services ◽  
Backward Compatibility ◽  
Data Record ◽  
Climate Data Record ◽  
Satellite Altimeter Data

Abstract. The Sentinel-6 mission is proposed as a multi-partner programme to continue the Jason satellite altimeter data services beyond the Jason-2 and Jason-3 missions. The Sentinel-6 mission programme consists of two identical satellites flying in sequence to prolong the climate data record of sea level accumulated by the TOPEX/Poseidon, Jason-1, Jason-2, and Jason-3 missions from 2020 to beyond 2030. The Sentinel-6 mission intends to maintain these services in a fully operational manner. A key feature is the simultaneous pulse-limited and synthetic aperture radar processing allowing direct and continuous comparisons of the sea surface height measurements based on these processing methods and providing backward compatibility. The Sentinel-6 mission will also include radio occultation user services.

scholarly journals Analysis of Groundwater Decline and Land Subsidence by using of Microgravity and Vertical Gravity Gradient Over Time Method

2014 ◽  
Vol 15 (1) ◽  
pp. 7 ◽  
Author(s):  
Suhayat Minardi ◽  
Hiden Hiden ◽  
Daharta Dahrin ◽  
Mahmud Yusuf
Keyword(s):  
Gravity Anomaly ◽  
Land Subsidence ◽  
Gravity Data ◽  
Vertical Gradient ◽  
Time Lapse ◽  
Gravity Gradient ◽  
Vertical Gravity Gradient ◽  
Vertical Gravity ◽  
Groundwater Decline ◽  
Over Time

Studies have been conducted to identify the occurrence of subsidence, a decline of groundwater, and to model the causes of subsidence in areas of Jakarta based on response of microgravity anomaly and vertical gravity gradient over time. Based on the processing and interpretation of gravity data advance of the time concluded that by using a combination of time lapse microgravity and its vertical gradient have been able to localize the source of the gravity anomaly and the results are strongly support the results of filtering to separate the source of the anomaly. The subsidence that occurs predominantly due to resettlement (in West and North Jakarta), caused by the extraction of groundwater and resettlement (in Central and East Jakarta), and dominated due to the extraction of groundwater (in South Jakarta).Keywords : Groundwater, time lapse micogravity, time lapse vertical gradient, resettlement, subsidence

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