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Listar por autor "Todaro, Valeria"

Mostrando ítems 1-6 de 6

Advanced techniques for solving groundwater and surface water problems in the context of inverse methods and climate change.

Todaro, Valeria (Universitat Politècnica de València, 2021-05-17)

[ES] El tema de la investigación se centra en técnicas avanzadas para manejar problemas de aguas subterráneas y superficiales relacionados con métodos inversos y cambio climático. Los filtros de Kalman, con especial atención ...
Assessment of Local Climate Change: Historical Trends and RCM Multi-Model Projections Over the Salento Area (Italy)

D'Oria, Marco; Tanda, Maria Giovanna; Todaro, Valeria (MDPI AG, 2018-08)

[EN] This study provides an up-to-date analysis of climate change over the Salento area (southeast Italy) using both historical data and multi-model projections of Regional Climate Models (RCMs). The accumulated anomalies ...
Climate Change over the Mediterranean Region: Local Temperature and Precipitation Variations at Five Pilot Sites

Todaro, Valeria; D'Oria, Marco; Secci, Daniele; Zanini, Andrea; Tanda, Maria Giovanna (MDPI AG, 2022-08)

[EN] The Mediterranean region is one of the most responsive areas to climate change and was identified as a major "hot-spot" based on global climate change analyses. This study provides insight into local climate changes ...
Ensemble smoother with multiple data assimilation to simultaneously estimate the source location and the release history of a contaminant spill in an aquifer

Todaro, Valeria; D'Oria, Marco; Tanda, Maria Giovanna; Gómez-Hernández, J. Jaime (Elsevier, 2021-07)

[EN] The source location and the time history of a pollutant released in an aquifer are very relevant information for the design of effective remediation strategies. Usually, their identification requires solving an inverse ...
genES-MDA: a generic open-source software package to solve inverse problems via the Ensemble Smoother with Multiple Data Assimilation

Todaro, Valeria; D'Oria, Marco; Tanda, Maria Giovanna; Gómez-Hernández, J. Jaime (Elsevier, 2022-10)

[EN] Ensemble Kalman filter methods have been successfully applied for data assimilation and parameter estimation through inverse modeling in various scientific fields. We have developed a new generic software package for ...
Surrogate models, physics-informed neural networks and climate change

Secci, Daniele (Universitat Politècnica de València, 2024-07-01)

[ES] Esta investigación contribuye al avance de la modelación sustitutiva como una técnica poderosa en el campo de la simulación computacional que ofrece numerosas ventajas para resolver eficientemente problemas complejos. ...