Abstract
This document shows an analysis of emerging technology for the recovery of meteorological data and its cost-benefit using GPRS (General Packet Radio Service) data transfer in automatic meteorological stations to improve the monitoring and the prediction of the atmosphere and inland water behavior in Ecuador. In different areas of study comparisons between data or generated registers coming from Automatic Weather Station (AWS) and Conventional Weather Station (CWS) have been made. Therefore, here the authors mainly underline the importance of storing meteorological information using cloud computing. Among the benefits of cloud computing there are high data availability access and high efficiency in technical/scientific studies at lower cost due to the decrease of local investment in technological infrastructure, upgrades, maintenance of equipment and applications.
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The authors thank the INAMHI institution, which has served as a reference for this study. In addition, we express our gratitude to the companies “New Access” and “Technological systems” which are the official representatives of the trademark Vaisala.
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Aguirre-Munizaga, M., Gomez, R., Aviles, M., Vasquez, M., Recalde-Coronel, G.C. (2016). A Cloud Computing Based Framework for Storage and Processing of Meteorological Data. In: Valencia-García, R., Lagos-Ortiz, K., Alcaraz-Mármol, G., del Cioppo, J., Vera-Lucio, N. (eds) Technologies and Innovation. CITI 2016. Communications in Computer and Information Science, vol 658. Springer, Cham. https://doi.org/10.1007/978-3-319-48024-4_8
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