Abstracted/indexed

Earthquake precursor and earthquake monitoring are always important in the earthquake research field, even if there is still debatable about the existence of earthquake precursor. The existence of precursory signal is confirmed by our results. We then attempt to capture and quantitative precursors before rock fracture, by which we establish a link between the rock experiments and natural earthquakes. We try to make a different type of analysis by comparing their similar characteristics.

The influence of quadric shear basic Zonal flows and beta on the downstream development of unstable chaotic baroclinic waves is studied from the two-layer model in wide channel controlled by quasi geostrophic potential vorticity equation. Through the obtained Lorentz equation, we focused on the influence of the quadric shear zonal flow on the downstream development of baroclinic waves, the quadric shear zonal flow has great influence on the stability in space.

In non-equilibrium statistical mechanics, which describes forced-dissipative systems, as air-sea interaction, there is no universal probability density function (pdf). Some such systems have recently been demonstrated to exhibit a symmetry called a fluctuation theorem (FT), which strongly constrains the shape of the pdf. Using satellite data, the mechanical power-input to the ocean by air-sea interaction is questioned to follow or not a FT. A FT is found to apply over specific ocean regions.

The assimilation of observations using standard algorithms can lead to violation of physical laws such as mass conservation, which has been shown to have detrimental impact on the system's forecast. We use a neural network (NN) to correct for this mass violation, using training data generated from expensive algorithms that can constrain such physical properties. We found in idealized setup that the NN can match the performance of these expensive algorithms, at neglectable computational costs.