Datasets Comparison
Version 1
SWPU-PMA_mascon_RL01_2002-2016
Description
Institutions
Institutions
Southwest Petroleum University
Categories
Earth Gravity, Satellite Geodesy
Licence
Creative Commons Attribution 4.0 International
Version 2
SWPU-PMA2025: a global surface mass redistribution dataset derived from GRACE L1B data and a modified point‒mass modeling approach
Description
Satellite gravity measurement represents a revolutionary breakthrough in geodesy, following the Global Navigation Satellite System (GNSS). Since the implementation of the GRACE gravity satellite program, its onboard high-precision GNSS receivers and micrometer-level inter-satellite microwave ranging systems have been utilized to remotely detect changes in the Earth's gravity field, unaffected by tropospheric and ionospheric delays. This technology has been successfully applied to monitor mass changes worldwide, and has been widely applied in fields such as geodesy, oceanography, hydrology, glaciology, and seismology. Satellite gravity measurement offers numerous advantages, including global data coverage and periodic repeated observations. The observed data exhibit high consistency in both time and space, and are less affected by geographical, political, and cultural constraints. However, current methods for monitoring Earth's mass changes using gravity satellite observations face several challenges. These primarily include the impact of striping noise on time-varying gravity field models, necessitating post-filtering processing. Additionally, enhancing the spatial and temporal resolution of surface mass changes and effectively addressing signal leakage issues remains challenging. Furthermore, post-processing filtering techniques, which can further compromise the model's spatial resolution as well as the amplitude and spatial distribution of true geophysical signals. This study introduces a modified Point-Mass Modeling Approach (PMA) and an adaptive constraint matrix construction method. The modified PMA is designed to establish a direct mathematical relationship between satellite observations and surface mass blocks. The adaptive constraint matrix operates independently of external geophysical inputs and maintains temporal adaptability. It also accounts for long-term ocean mass changes and effectively mitigates land signal leakage issues. Through the analysis of GRACE Level-1B data, we generated a time series based on the PMA model, demonstrating the effectiveness of our approach.
The dataset is provided in NetCDF (.nc) format, with a temporal resolution of one month and a spatial resolution of 0.5°, and the file name is SWPU-PMA_mascon_RL01_2002-2016.nc. It includes the following variables: lon, lat, time and lwe_thickness. Some months contain missing data, which are explicitly indicated within the data file. The dataset is recommended to be opened and read using MATLAB.
Institutions
Institutions
Southwest Petroleum University
Chengdu
Categories
Earth Gravity, Satellite Geodesy
Funders
National Natural Science Foundation of China
Beijing
42374004
Licence
Creative Commons Attribution 4.0 International