code related to the paper "Forward modeling of gravity anomalies based on cell mergence and parallel computing"
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Updated
Jan 28, 2022 - MATLAB
code related to the paper "Forward modeling of gravity anomalies based on cell mergence and parallel computing"
LitMod2D_2.0 is a tool to unravel the thermal, compositional, density, and seismological structure of the crust and upper mantle (~400 km depth) along cross-sections by integrating geophysical and geochemical dataset in a self-consistence thermodynamic manner.
Fortran codes for computation of field elements in near-Earth space from height anomaly
Magnetic and gravity anomaly calculations in 2.75D using polygon-based parameterization
Earth Gravitational Model (EGM2008)
Fortran codes for Molodensky boundary value correction to Stokes on arbitrary shape surface
Fortran codes for vertical deflection computation on or outside geoid using Vening-Meinesz numerical integral
The aim of the project is to calculate and 3D plot the free-air anomalies, topography, bouguer correction and bouguer anomalies in San Francisco.
GMT (Generic Mapping Tools) shell scripts interpolating scattered XYZ topography and gravity to continuous grids with blockmean and the surface adjustable-tension continuous-curvature spline algorithm, then shading and mapping the modelled surfaces of the Kuril-Kamchatka and Mariana Trenches.
GMT (Generic Mapping Tools) shell scripts computing the 2D-FFT spectral coherence between marine gravity and bathymetry grids (isostasy / flexural response) with grdfft, plus multi-panel maps of bathymetry, geoid, free-air gravity and vertical gravity gradient.
GMT and R scripts for geophysical and topographic plotting of Rwanda (East African Rift): topography, geoid, free-air gravity and its gradient, and seismicity via GMT, plus slope/aspect/hillshade/elevation terrain analysis via R from SRTM DEM. Figures for Lemenkova, Romanian Journal of Physics 2022, 67(7-8):810.
GMT (Generic Mapping Tools) shell scripts interpolating scattered XYZ point data (topography, gravity, sediment) to continuous grids with blockmean and the surface adjustable-tension continuous-curvature spline algorithm, then shading and mapping the modelled surfaces over ocean trenches.
Calculates corrections for gravity measurements using ESRI Shapefiles
GMT (Generic Mapping Tools) shell scripts correlating topography-induced gravity, terrain structure and seismicity in the Gulf of Panama: topography, 3D relief, geoid, free-air gravity and its gradient, and earthquake epicentres over GEBCO/SRTM and EGM2008 grids. Figures for Lemenkova & Debeir, Environ. Res. Eng. Manag. 2023, 79(2):64-76.
GRASS GIS shell scripts for topographic and geophysical mapping of the Peru-Chile (Atacama) Trench: topography, geoid, free-air gravity, vertical gravity gradient, slope/aspect/curvature and vector geology, from GEBCO/SRTM and EGM2008 grids. Figures for Lemenkova, Forum geografic 2020, 19(2):143-157.
GMT (Generic Mapping Tools) shell scripts for seismic and geophysical mapping of Ecuador: topography, geoid, free-air gravity and its gradient, and seismicity (earthquake epicentres), from GEBCO/SRTM, EGM2008 and earthquake catalogue data. Figures for Lemenkova, Geografie 2022, 127(3):195-218.
Over 70 GMT (Generic Mapping Tools) shell scripts mapping marine free-air and Bouguer gravity anomalies from the Sandwell/Smith satellite-altimetry gravity grid (CryoSat-2, Jason-1) over countries, seas and ocean trenches, with colour-shaded grids, curvature/vertical-gradient variants and cartographic layout.
GMT (Generic Mapping Tools) shell scripts for geophysical and geological mapping of the Bolivian Andes: topography, geoid undulations, free-air gravity and its gradient, and seismicity, from GEBCO/SRTM, EGM2008 and earthquake catalogue data. Figures for Lemenkova, Data 2022, 7(6):74.
GRASS GIS and GDAL shell scripts for topographical and geophysical analysis of the Japanese Archipelago from NOAA marine geophysical data and a GEBCO grid: bathymetry, geoid, gravity, magnetic anomaly, sediment thickness and slope/aspect. Figures for Lemenkova, Geomatics Environ. Eng. 2020, 14(4):25-45.
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