Performance of HaiYang-2 Altimetric Data in Marine Gravity Research and a New Global Marine Gravity Model NSOAS22
نویسندگان
چکیده
Haiyang-2 (HY-2) missions have accumulated sea surface height (SSH) observations on a global scale for more than 10 years. Four satellites, HY-2A, HY-2B, HY-2C and HY-2D, provide even but differently distributed data, which play complementary role in marine gravity studies with other missions. Therefore, this paper evaluates the performances of HY-2 altimetric data modeling from following four perspectives: SSH accuracy, geoid signal resolution ability, vertical deflections anomaly. First, centimeter-magnitude accuracy level is proved by analyzing discrepancies at crossover points within certain time limit. Second, spectral analysis repetitive along-track sequences domain shows range 18 to 24 km. Taking exact repeat (ERM), example, could be remarkably enhanced stacking cycles. Third, validation an XGM2019 model showed that were reliably computed all missions, HY-2A performed slightly worse Meanwhile, HY-2D ~66° orbital inclination obviously had improved ability capture east–west signals compared HY-2B. Finally, we constructed results based three input datasets, dataset only, multi-satellite without HY-2. Validations using published models shipborne gravimetric data. The capable improving anomaly recoveries NSOAS22 incorporated comparable DTU21 SS V31.1. Furthermore, should not only construct 1’ × model.
منابع مشابه
Marine geophysics. New global marine gravity model from CryoSat-2 and Jason-1 reveals buried tectonic structure.
Gravity models are powerful tools for mapping tectonic structures, especially in the deep ocean basins where the topography remains unmapped by ships or is buried by thick sediment. We combined new radar altimeter measurements from satellites CryoSat-2 and Jason-1 with existing data to construct a global marine gravity model that is two times more accurate than previous models. We found an exti...
متن کاملA method for 2-dimensional inversion of gravity data
Applying 2D algorithms for inverting the potential field data is more useful and efficient than their 3D counterparts, whenever the geologic situation permits. This is because the computation time is less and modeling the subsurface is easier. In this paper we present a 2D inversion algorithm for interpreting gravity data by employing a set of constraints including minimum distance, smoothness,...
متن کاملMapping crustal thickness using marine gravity data: Methods and uncertainties
Crustal thickness is a critical parameter for understanding the processes of continental rifting and breakup and the evolution of petroleum systems within passive margins. However, direct measurements of crustal thickness are sparse and expensive, highlighting the need for methodologies using gravity anomaly data, jointly with other geophysical data, to estimate crustal thickness. We evaluated ...
متن کاملToward 1-mGal accuracy in global marine gravity from CryoSat-2, Envisat, and Jason-1
M than 60% of the Earth’s land and shallow marine areas are covered by > 2 km of sediments and sedimentary rocks, with the thickest accumulations on rifted continental margins (Figure 1). Free-air marine gravity anomalies derived from Geosat and ERS-1 satellite altimetry (Fairhead et al., 2001; Sandwell and Smith, 2009; Andersen et al., 2009) outline most of these major basins with remarkable p...
متن کاملGravity at sea —A memoir of a marine geophysicist—
A history of studies on the gravity measurements at sea in Japan is reviewed with an emphasis on the contribution of the author. The first successful measurements at sea were made in 1923 by Vening Meinesz in the Netherlands using the pendulum apparatus installed in a submarine. However, the gravity measurements using a submarine are not convenient because the access to a submarine is limited. ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Remote Sensing
سال: 2022
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs14174322