Gravity Anomaly Upward Continuation Algorithm

This gravity anomaly upward continuation program is highly practical and valuable for all geophysics students to study. The implementation typically involves Fourier transform methods to convert spatial domain data into frequency domain, where upward continuation is performed by applying an exponential attenuation filter based on the continuation height. Key algorithms include proper grid sampling, frequency domain filtering with wavenumber-dependent coefficients, and inverse transformation back to spatial domain. Through this program, we can better understand Earth's internal structure and tectonic movements by analyzing how gravity anomalies change with elevation. The upward continuation process effectively acts as a low-pass filter, smoothing high-frequency noise while preserving regional geological features. During the learning process, students will gain deeper insights into physics principles like potential field theory and mathematical concepts including convolution theorems and spectral analysis. The code implementation usually involves critical functions such as FFT (Fast Fourier Transform) for domain conversion, exponential decay operators for height adjustment, and proper handling of edge effects through padding techniques. These computational methods help us better comprehend natural phenomena and scientific theories related to geophysical potential fields. Therefore, I strongly recommend all individuals interested in geophysics to study this gravity anomaly upward continuation program to expand their knowledge base and enhance their technical skills in geophysical data processing and interpretation.