The effect of a sharp low-level temperature inversion on flow over a mountain is investigated via a series of two-dimensional idealized numerical model simulations. The main focus of the study is the effect of the inversion on the formation of lee waves, lee-wave rotors, low-level hydraulic jumps and the occurrence of wave breaking aloft. The idealized problem considered consists of an upwind v...

Reconstructing the structure of soil using non-invasive techniques is a very relevant problem in many scientific fields, like geophysics and archaeology. This can be done, for instance, with aid Frequency Domain Electromagnetic (FDEM) induction devices. Inverting FDEM data challenging inverse problem, as extremely ill-posed, i.e., sensible to presence noise measured data, non-linear. Regulariza...

The ensemble Kalman inversion (EKI) for the solution of Bayesian inverse problems type , with being an unknown parameter, a given datum, and measurement noise, is powerful tool usually derived from sequential Monte Carlo point view. It describes dynamics particles whose initial empirical measure sampled prior, evolving over artificial time toward approximate problem, emulating posterior, corres...

Gravity data inversion is one of the important steps in the interpretation of practical gravity data. The inversion result can be obtained by minimization of the Tikhonov objective function. The determination of an optimal regularization parameter is highly important in the gravity data inversion. In this work, an attempt was made to use the active constrain balancing (ACB) method to select the...

We present an application of the SIPPI Matlab toolbox, to obtain a sample from the a posteriori probability density function for the classical tomographic inversion problem. We consider a number of different forward models, linear and non-linear, such as ray based forward models that rely on the high frequency approximation of the wave-equation and ’fat’ ray based forward models relying on fini...