Otero Espinar, María VictoriaGama, Sílvio Marques de AlmeidaBalsa, Carlos Jorge da Rocha2026-03-182026-03-182026https://hdl.handle.net/10347/46432This research is developed within two main areas of Applied Computational Mathematics: Simulation and Data Analysis. In the simulation component, the study investigates the motion of a passive particle on a spherical surface under the influence of multiple point vortices. The aim is to find an energy-minimising trajectory that respects constraints such as specified departure and arrival points, as well as a fixed travel time. In the data analysis component, the research focuses on reconstructing incomplete meteorological time series by addressing gaps caused by missing records. The proposed methodology seeks to maximise the use of available information from predictor stations while ensuring both high accuracy and computational efficiency.engAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Point VortexPassive ParticleControl ProblemAnalog EnsembleDataset Dimension Reduction120601 Construcción de algoritmos120326 SimulaciónApplications of Computational Mathematics to Simulation and Data Analysis: Two-dimensional Vortex Dynamics and Meteorological Data Reconstructiondoctoral thesisopen access