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For the reliable performance of technologically advanced radio communications systems under geomagnetically disturbed conditions, the forecast and modelling of the ionospheric response during storms ...
We apply here a forecasting model to the Italian region for the spatio-temporal distribution of seismicity based on a smoothing Kernel function, Coulomb stress variations, and a rate-and-state frictio...
This study provides an overview of relative-intensity (RI)-based earthquake forecast models that have been submitted for the 5-year and 10-year testing classes and the 3-month class of the Italian exp...
We describe here the setting up of the first earthquake forecasting experiment for Italy within the Collaboratory for the Study of Earthquake Predictability (CSEP). The CSEP conducts rigorous and actu...
The Collaboratory for the Study of Earthquake Predictability (CSEP) selected Italy as a testing region for probabilistic earthquake forecast models in October, 2008. The model we have submitted for th...
New mathematical methods can be applied broadly to climate, medicine, aircraft design and more People don't usually think of mathematics as an occupation that requires survival skills, but they might...
Power‐law accelerations in the mean rate of strain,earthquakes and other precursors have been widely reported prior to material failure phenomena, including volcanic eruptions, landslides and laborato...
The accuracy of ensemble streamflow forecasts (ESFs) is impacted by the propagation of uncertainty associated with quantitative precipitation forecasts (QPFs) through the physical processes occurring...
We present a nonparametric approach based on local polynomial regression for ensemble forecast of time series. The state space is first reconstructed by embedding the univariate time series of the res...
It is well known that earthquakes do not occur randomly in space and time. Foreshocks, aftershocks, precursory activation, and quiescence are just some of the patterns recognized by seismologists. Usi...

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