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Ru Wang, Qingyu Zheng, Wei Li, Guijun Han, Xuan Wang and Song Hu
The uncertainty in the initial condition seriously affects the forecasting skill of numerical models. Targeted observations play an important role in reducing uncertainty in numerical prediction. The conditional nonlinear optimal perturbation (CNOP) meth...
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Perizat Omarova, Yedilkhan Amirgaliyev, Ainur Kozbakova and Aisulyu Ataniyazova
Water resource pollution, particularly in river channels, presents a grave environmental challenge that necessitates a comprehensive and systematic approach encompassing assessment, forecasting, and effective management. This article provides a comprehen...
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Venkataramana Veeramsetty, Dongari Rakesh Chandra, Francesco Grimaccia and Marco Mussetta
Electrical load forecasting study is required in electric power systems for different applications with respect to the specific time horizon, such as optimal operations, grid stability, Demand Side Management (DSM) and long-term strategic planning. In th...
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Georgios Klonaris, Frans Van Eeden, Jeffrey Verbeurgt, Peter Troch, Denis Constales, Hans Poppe and Alain De Wulf
The North Sea is a shallow sea that forms a complex physical system. The nonlinear interaction of the astronomical tides, varying wind fields and varying pressure systems requires appropriate approaches to be described accurately. An application based on...
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Maria Letizia Bertotti
In this paper, an elementary mathematical model describing the introduction of a universal basic income in a closed market society is constructed. The model is formulated in terms of a system of nonlinear ordinary differential equations, each of which gi...
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Javier López Gómez, Francisco Troncoso Pastoriza, Enrique Granada Álvarez and Pablo Eguía Oller
Mapping of meteorological conditions surrounding road infrastructures is a critical tool to identify high-risk spots related to harsh weather. However, local or regional data are not always available, and researchers and authorities must rely on coarser ...
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Carlos Coelho, Pedro Narra, Bárbara Marinho and Márcia Lima
There are no sequential and integrated approaches that include the steps needed to perform an adequate management and planning of the coastal zones to mitigate coastal erosion problems and climate change effects. Important numerical model packs are avail...
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Alberto Ribotti, Fabio Antognarelli, Andrea Cucco, Marcello Francesco Falcieri, Leopoldo Fazioli, Christian Ferrarin, Antonio Olita, Gennaro Oliva, Andrea Pes, Giovanni Quattrocchi, Andrea Satta, Simone Simeone, Costanza Tedesco, Georg Umgiesser and Roberto Sorgente
Oil extraction platforms are potential sources of oil spills. For this reason, an oil spill forecasting system was set up to support the management of emergencies from the oil fields in the Italian seas. The system provides ready-to-use products to the r...
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Ioannis E. Livieris
During the last few decades, machine learning has constituted a significant tool in extracting useful knowledge from economic data for assisting decision-making. In this work, we evaluate the performance of weight-constrained recurrent neural networks in...
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Cristian Guevara Ochoa, Ignacio Masson, Georgina Cazenave, Luis Vives and Gabriel Vázquez Amábile
Due to the socioeconomical impact of water extremes in plain areas, there is a considerable demand for suitable strategies aiding in the management of water resources and rainfed crops. Numerical models allow for the modelling of water extremes and their...
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