Executive Summary: Advances in Meteorology and Geophysics 2025 This book represents the scientific contributions from the 13th Symposium on Meteorology and Geophysics and the 23rd Portuguese-Spanish Meteorology Meeting (APMG2025), held in Vila Real, Portugal, from March 24 to 26, 2025. Organised by the Portuguese Association of Meteorology and Geophysics (APMG) in collaboration with the University of Trás-os-Mo...
The Portuguese Association of Meteorology and Geophysics (Associação Portuguesa de Meteorologia e Geofísica, APMG), has among its main objectives to cooperate with any organizations that carry out activities in the areas of meteorological and geophysical sciences, with all institutions that fight for the protection of the climate system and for the prevention against natural catastrophes as well as to foster un...
Ciência de dados é um tema interdisciplinar na interface entre a estatística e a computação, que se baseia no método científico e usa ferramentas computacionais para extrair informação a partir de dados das mais diversas proveniências, com ou sem ruído, estruturados ou não. Ciência de dados está relacionada com as temáticas data mining, machine learning e big data. Amplamente usado nas mais diversas ciências, p...
The aim of this study was to design an approach for establishing a plausible relationship between FWI and the monthly average burned area (ABA) and the average number of ignitions (ANI) supported by geographic information systems (GIS). The application of these results will allow the projection of burned areas in forest fires in the future, making mitigation actions possible. This approach was applied to the re...
Pest risk maps for agricultural use are usually constructed from data obtained from in-situ meteorological weather stations, which are relatively sparsely distributed and are often quite expensive to install and difficult to maintain. This leads to the creation of maps with relatively low spatial resolution, which are very much dependent on interpolation methodologies. Considering that agricultural applications...
A relative humidity index (IHR-LST), estimated using the difference between the temperature LST (Land Surface Temperature), one hour after sunrise and one hour after solar noon, divided by the number of hours mediate these two periods, is compared with the air relative humidity of a selected set of meteorological stations.The results show a clear association between both values, relative humidity index and air ...
Un índice de humedad relativa (IHR-LST), que se calcula utilizando la diferencia entre la LST (temperatura de la superficie del terreno), una hora después del amanecer y una hora después del medio día solar, dividida por el número de horas entre estos dos periodos, se compara con la humedad relativa del aire de un conjunto seleccionado de estaciones meteorológicas Los resultados muestran una clara asociación en...