Skip to main content

Architecture of a Meteorological Data Management System Based on the Analysis of Webmapping Tools

  • Conference paper
  • First Online:
Book cover Technologies and Innovation (CITI 2018)

Abstract

The meteorological records represent atmospheric variables, which capture by means of sensors parameters such as: air temperature, humidity, direction and wind speed among others. Having a system that allows to monitor, visualize and analyze these variables contributes fundamentally to the decision-making of governmental entities, scientists and researchers. This article presents the architecture used in a meteorological data management system based on the analysis of webmapping tools that allow the monitoring and visualization of geospatial data, based on the results obtained by the project executed by researchers from the Agrarian University of Ecuador called “Platform for the monitoring of real-time atmospheric data of the network of meteorological stations of the Agrarian University of Ecuador, Guayaquil and Milagro.”

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Instituto Nacional de Meteorología e Hidrologia: Anuario meteorológico 1990 № 30, Quito (2013)

    Google Scholar 

  2. Jácome, H.: Introducción a la Meteorología, Quininde (2014)

    Google Scholar 

  3. Sene, K.: Meteorological observations. In: Sene, K. (ed.) Hydrometeorology: Forecasting and Applications, pp. 37–70. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-23546-2_2

    Chapter  Google Scholar 

  4. Aguirre-Munizaga, M., Gomez, R., Aviles, M., Vasquez, M., Recalde-Coronel, G.C.: 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.) CITI 2016. CCIS, vol. 658, pp. 90–101. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-48024-4_8

    Chapter  Google Scholar 

  5. Guillén, V.: Metodologia de evaluación de confort termico exterior para diferentes pisos climáticos en Ecuador. www.conama2014.org

  6. Johansson, E., Yahia, M.W., Arroyo, I., Bengs, C.: Outdoor thermal comfort in public space in warm-humid Guayaquil. Ecuad. Int. J. Biometeorol. 62, 387–399 (2018)

    Article  Google Scholar 

  7. Vicuña, P.V.: Historia del ingenio valdez|Historia del cantón milagro. https://historiacantonmilagro.wordpress.com/9-historia-del-ingenio-valdez/

  8. Sistema Nacional de Información-Ecuador: Plan de desarrollo y ordenamiento territorial. http://app.sni.gob.ec/sni-link/sni/PORTAL_SNI/data_sigad_plus/sigadplusdocumentofinal/0760027030001_PDOT/MILAGRO_30-10-2015_20-51-47.pdf

  9. Wei, Y., Santhana-Vannan, S.K., Cook, R.B.: Discover, visualize, and deliver geospatial data through OGC standards-based WebGIS system. In: 2009 17th International Conference on Geoinformatics, pp. 1–6 (2009)

    Google Scholar 

  10. Geography Markup Language|OGC

    Google Scholar 

  11. Consortium, O.G.: OpenGIS Web Map Service version 1.3.0. (2006)

    Google Scholar 

  12. Cao, Y., Yang, C., Wong, D.W.: An interoperable spatiotemporal weather radar data dissemination system. Int. J. Remote Sens. 30, 1313–1326 (2009)

    Article  Google Scholar 

  13. Shete, R., Agrawal, S.: IoT based urban climate monitoring using Raspberry Pi. In: International Conference on Communication and Signal Process, 6–8 April 2016, India IoT, 2008–2012 (2016)

    Google Scholar 

  14. Oliveira, A., et al.: An interactive WebGIS observatory platform for enhanced support of integrated coastal management. J. Coast. Res. 70, 507–512 (2014)

    Article  Google Scholar 

  15. Kooistra, L., Bergsma, A., Chuma, B., De Bruin, S.: Development of a dynamic web mapping service for vegetation productivity using earth observation and in situ sensors in a sensor web based approach. Sensors 9, 2371–2388 (2009)

    Article  Google Scholar 

  16. Pagano, T.S., Durham, R.M.: Moderate Resolution Imaging Spectroradiometer (MODIS). Presented at the August 25 (1993)

    Google Scholar 

  17. Hecher, M., Traxler, C., Hesina, G., Fuhrmann, A.: Web-based visualization platform for geospatial data. In: Proceedings of the 6th International Conference on Information Visualization Theory and Applications, pp. 311–316 (2015)

    Google Scholar 

  18. Titov, A.G., Okladnikov, I.G., Gordov, E.P.: Architecture of a spatial data service system for statistical analysis and visualization of regional climate changes. IOP Conf. Ser. Earth Environ. Sci. 96, 1–10 (2017)

    Article  Google Scholar 

  19. Wu, H., Li, Z., Zhang, H., Yang, C., Shen, S.: Monitoring and evaluating the quality of Web Map Service resources for optimizing map composition over the internet to support decision making. Comput. Geosci. 37, 485–494 (2011)

    Article  Google Scholar 

  20. Chen, N., Chen, Z., Di, L., Gong, J.: An efficient method for near-real-time on-demand retrieval of remote sensing observations. J. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens 4, 615–625 (2011)

    Article  Google Scholar 

  21. Chen, N., Di, L., Yu, G., Gong, J.: Geo-processing workflow driven wildfire hot pixel detection under sensor web environment. Comput. Geosci. 36, 362–372 (2010)

    Article  Google Scholar 

  22. Aemet: Sensación térmica de frío y calor - Agencia Estatal de Meteorología - AEMET. Gobierno de España

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Maritza Aguirre-Munizaga .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Aguirre-Munizaga, M. et al. (2018). Architecture of a Meteorological Data Management System Based on the Analysis of Webmapping Tools. In: Valencia-García, R., Alcaraz-Mármol, G., Del Cioppo-Morstadt, J., Vera-Lucio, N., Bucaram-Leverone, M. (eds) Technologies and Innovation. CITI 2018. Communications in Computer and Information Science, vol 883. Springer, Cham. https://doi.org/10.1007/978-3-030-00940-3_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-00940-3_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00939-7

  • Online ISBN: 978-3-030-00940-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics