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

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.”

[1]  I G Okladnikov,et al.  Architecture of a spatial data service system for statistical analysis and visualization of regional climate changes , 2017 .

[2]  Christoph Traxler,et al.  Web-based Visualization Platform for Geospatial Data , 2015, IVAPP.

[3]  Chaowei Phil Yang,et al.  Monitoring and evaluating the quality of Web Map Service resources for optimizing map composition over the internet to support decision making , 2011, Comput. Geosci..

[4]  Sushma Agrawal,et al.  IoT based urban climate monitoring using Raspberry Pi , 2016, 2016 International Conference on Communication and Signal Processing (ICCSP).

[5]  Liping Di,et al.  Geo-processing workflow driven wildfire hot pixel detection under sensor web environment , 2010, Comput. Geosci..

[6]  Thomas S. Pagano,et al.  Moderate Resolution Imaging Spectroradiometer (MODIS) , 1993, Defense, Security, and Sensing.

[7]  Yaxing Wei,et al.  Discover, visualize, and deliver geospatial data through OGC standards-based WebGIS system , 2009, 2009 17th International Conference on Geoinformatics.

[8]  Liping Di,et al.  An Efficient Method for Near-Real-Time On-Demand Retrieval of Remote Sensing Observations , 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[9]  Maritza Aguirre-Munizaga,et al.  A Cloud Computing Based Framework for Storage and Processing of Meteorological Data , 2016, CITI.

[10]  Lammert Kooistra,et al.  Development of a Dynamic Web Mapping Service for Vegetation Productivity Using Earth Observation and in situ Sensors in a Sensor Web Based Approach , 2009, Sensors.

[11]  David W. S. Wong,et al.  An interoperable spatiotemporal weather radar data dissemination system , 2009 .

[12]  Ivette Arroyo,et al.  Outdoor thermal comfort in public space in warm-humid Guayaquil, Ecuador , 2017, International Journal of Biometeorology.

[13]  J. Rogeiro,et al.  An interactive WebGIS observatory platform for enhanced support of integrated coastal management , 2014 .