Identifier: TFG:1650
Authors: Bishop Ferretti, Andrés
Abstract:
Long, uninterrupted, and homogeneous climate data sets essential for climatological research, applications and user services make up large data sets that are not usually readily accessible. In this dissertation POSTIMPACT is presented, a Shiny web application that allows users to interact and visualize in various forms with climatological data from the IMPACTRON and POST-AWS networks in an ubiquitous, straightforward and flexible way, fostering collaboration within researchers and stakeholders in general. The application has been successfully tested performing the analysis of some statistics, specifically the behavior of the mean Δtx in the Ebro Observatory where 8 segments were found to form three groups according to the characteristics of their biases, and were the magnitude of the mean differences of these groups varies along the year with Winter and Autumn months showing the minimal mean differences. Additionally, the analysis of the mean of Δtx and the mean of Δtn for the whole IMPACTRON data set showed a bias characterized by a slight negative sign for Δtn, due, in essence, to the negative sign of the spring and summer mean differences.
Repositori URV