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In the context of global warming, heavy precipitation is a frequent and impactful hazardous event. Timely identification of meteorological conditions associated with heavy rainfall is critical for urban flood risk manage...

This research focuses on developing a neural network model in the Python programming language to solve the technological problem of forecasting potato yields with limited agroclimatic data. The developed program is consi...

The aim of this paper is to investigate an event of simultaneous activity of atmospheric gravity waves (AGW) and meteotsunami recorded on December 1–2, 2013, in the inner continental shelf of Buenos Aires Province, Arg...

This study aims to systematically analyze the new characteristics, evolution trends, and causes of major extreme weather in China in the context of global climate change, and evaluate the current forecasting, early-warni...

With the constant advancement of the smart grid, zero-day attack processes in Advanced Metering Infrastructure (AMI) and Supervisory Control and Data Acquisition (SCADA) networks are also continually evolving. This study...

Interplanetary coronal mass ejections (ICMEs) are the manifestation of solar transient eruptions, which can significantly modify the plasma and magnetic conditions in the heliosphere. They are often preceded by a shock, ...

Abstract The Boreal Summer Intraseasonal Oscillation (BSISO) is a prominent tropical intraseasonal variability during summer. It propagates northeastward from the northern Indian Ocean to the western North Pacific and ha...

Abstract AI emulators for forecasting have emerged as powerful tools that can outperform conventional numerical predictions. The next frontier is to build emulators for long climate simulations with skill across a range ...

Accurately forecasting the high-dimensional chaotic dynamics of semiconductor laser (SL) networks is essential in photonics research. In this study, we propose a spatiotemporal multiplexed photonic reservoir computing (S...

Abstract The storage and retrieval of wave spectra for boundary conditions in nested wave modeling are computationally intensive due to the substantial storage requirements of each spectrum. A recently developed method (...

In this paper we deal with the problem of forecasting local rainfall at multiple meteorological stations over the Iberian peninsula. To this aim a dynamic Bayesian network is introduced for relating rainfall to broad-sca...