• A global characterization of streamflow extremes was performed based on a representative dataset augmented with geo-climatic variables at catchment scale and combined random forest an interpretable machine learning framework (SHAP). High unit peak discharges are characterized by meteorological such as annual precipitation, precipitation wettest month quarter, geomorphologic basin magnitude, f...

Abstract In order to realize high performance burning plasmas in magnetic-confinement fusion devices, such as tokamaks, both bulk plasma transport and that of energetic alpha-particles, which result from different scale fluctuations with free energy sources, have be reduced simultaneously. Utilizing the advantage global toroidal non-linear simulations covering a whole torus, here, we found new ...

Researchers developed an earthquake prediction software and evaluated its performance. This is suitable for short-term prediction. approach relies on the deep involvement of water vapors that occur just before caused by a decrease in pressure increase temperature, leading to 70.5% accuracy within month Japan. In addition, we have tried develop new practical method warn earthquakes not only Japa...