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A Cloud Computing Based Framework for Storage and Processing of Meteorological Data

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Book cover Technologies and Innovation (CITI 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 658))

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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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Acknowledgments

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.

Author information

Authors and Affiliations

  1. Facultad de Ciencias Agrarias, Escuela de Ingeniería en Computación e Informática, Universidad Agraria del Ecuador, Av. 25 de Julio y Pio Jaramillo, P.O. BOX 09-04-100, Guayaquil, Ecuador

    Maritza Aguirre-Munizaga, Raquel Gomez, María Aviles & Mitchell Vasquez

  2. Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD, 21218, USA

    G. Cristina Recalde-Coronel

  3. Facultad de Ingeniería Marítima, Ciencias Biológicas, Oceánicas y Recursos Naturales, Escuela Superior Politécnica del Litoral, Campus Gustavo Galindo km 30.5 Vía Perimetral, P.O. Box 09-01-5863, Guayaquil, Ecuador

    G. Cristina Recalde-Coronel

Authors
  1. Maritza Aguirre-Munizaga
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  2. Raquel Gomez
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  3. María Aviles
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  4. Mitchell Vasquez
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  5. G. Cristina Recalde-Coronel
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Corresponding author

Correspondence to Maritza Aguirre-Munizaga .

Editor information

Editors and Affiliations

  1. Universidad de Murcia, Murcia, Spain

    Rafael Valencia-García

  2. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Katty Lagos-Ortiz

  3. Universidad de Castilla-La Mancha, Toledo, Spain

    Gema Alcaraz-Mármol

  4. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Javier del Cioppo

  5. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Nestor Vera-Lucio

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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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  • DOI: https://doi.org/10.1007/978-3-319-48024-4_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48023-7

  • Online ISBN: 978-3-319-48024-4

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