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Up to now, we constrained the (relative) plate movements mostly with seismic slip measurments. Since 10-20 years, with the diffusion of GPS measurments, it has been possible to have a more granular distribution of movements and a more precise estimation of the rotation pole for a given plate. Roughly speaking, then, you should look for the work of authors ...


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My understanding is the following (NB: it could be wrong!). The assumption is that on a common shot gather, your travel time follows a hyperbolic curve: $$ f(x)=t^2=t_0^2 + \frac{x^2}{v^2}, $$ where $t_0$ is the zero-offset travel time, $x$ the offset and $v$ the speed of the medium above the interface. The hyperbolic travel-times, for example, create ...


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$\rm \frac{mol}{m^2}$ shows the amount of $\rm{NO_2}$ in the atmosphere over a square meter of surface area - in mols. The molar mass of the $\rm{NO_2}$ is $14+2\cdot 16=46$. It means, the mass of 1 mol of $\rm{NO_2}$ is $\rm{46g}$. The surface area of the Earth is 510million $\rm{km^2}$. Thus, 1 $\rm \frac{mol}{m^2} \rm{NO_2}$ translates to $\rm{46 \frac{...


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If you are flexible with your choice in software, I would strongly recommend using Bob Herrmann's Computer Programs in Seismology for this work. http://www.eas.slu.edu/eqc/eqccps.html. This software package has nice workflows for doing ambient noise tomography and will save you a lot of time over python. For example, you can relatively quickly do group/phase ...


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