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Advisor(s)
Abstract(s)
The observation of weather states has always been a human need. Our most distant
ancestors already tried to understand and predict the weather, but did not have reliable
methods. In the 19th century, modern meteorology took its first steps: the French
government, motivated by the sinking of ships near the coast of Crimea, because of a
heavy rainstorm, created a network of 24 stations spread across Europe, which began to
observe the weather. In recent years, due to computational advances, different methods
of predicting weather states have begun to emerge, increasing the forecast extent and
its accuracy.
The Analog Ensembles method (AnEn), introduced by Luca Delle Monache in 2011
[1], is a post-processing tool that has shown good results to improve whether predictions
or perform hindcasting (reconstruction of missing meteorological data). The goal of
this study is to use the AnEn method to perform hindcasting, in order to reconstruct
past weather conditions in a specific area of the northeeast of Portugal and verify its
similarity with the actual forecast.
Description
Keywords
Citation
Breve, Murilo; Rufino, José; Balsa, Carlos; Costa, Luís (2022). Applications of the analog ensembles method to meteorological data reconstruction in the Northeast of Portugal. In 2nd Symposium of Applied Science for Young Researchers. Bragança