Development of robust scientific models linking geophysical data to the corresponding geological structures is a crucial prerequisite of meaningful geophysical data interpretation. Analytical, numerical, and physical modelling represent three different approaches conventionally used to establish scientific basis for geophysical data analysis and interpretation.

Analytical methods provide a mathematical framework to interpret geophysical data by solving the governing equations. However, analytical models may be limited in providing an adequate and complete description of geophysical observations because of the simplified assumptions, necessary for solving the governing equations. On the other hand, numerical modeling can offer higher flexibility in describing more realistic physical conditions. However, extreme care should be taken so that numerical errors are minimized.

Compared to analytical and numerical methods, physical modeling does not require applying simplified assumptions to decipher the physics behind the geophysical observations. Thus, physical models can serve as a solid framework to validate numerical and analytical models. Besides, physical modeling can help discover new phenomena that have not been noted in field geophysical data.

This session invites contributions on all the aspects in the field of physical modeling of geophysical data, including recent advancements in the development and application of physical models for seismology, volcanology, and other disciplines. We also welcome reports on new results from physical models of geophysical phenomena.

• CGS: Chinese Geophysical Society -
• EGU: European Geosciences Union -
• OSA: The Optical Society -
• SEG: Society of Exploration Geophysicists -