Abstract
Abstract. Until recently the majority of data analysis and visualization tools were desktop applications that demanded high requirement hardware to carry out those processes. However, nowadays there is a trend to evolve this kind of applications to service based solutions that can be accessed remotely. Considering the implications that the weather has in the health and the safety of the human beings, authorities require a further knowledge of the weather forecasts and their impacts but they have difficulties to properly understand the raw forecasts since they usually are not experts in the field of meteorology. For this purpose, we have designed and implemented a framework that permits a remote access to weather forecasts. With this tool, the practitioners can access, visualise and interact with the data from a web browser. Furthermore, it contains an image and numeric analysis module that permits the generation of new information what is helpful in decision making processes.
Highlights
Meteorology has become a field of knowledge that government and agencies are increasingly demanding as an essential information source in their decision making processes
The major requirement for a tool that manages meteorological observations and forecasts consist on handling spatial data
The principal trend is to transform the GIS applications towards systems that can be accessed as a service rather than to run them on the individual computers [3]
Summary
Meteorology has become a field of knowledge that government and agencies are increasingly demanding as an essential information source in their decision making processes. The major requirement for a tool that manages meteorological observations and forecasts consist on handling spatial data Somehow these tools are a specific use case of generic Geographic Information Systems that need to manage meteorological data (spatial data) and offer specific analysis and visualization capabilities of the field of meteorology. There is lack of frameworks that offer web-based interaction capabilities with meteorological raw data at server side. The user can choose the parameters to visualize, create personal combinations and carry out some analysis It is based on open source geospatial servers and web mapping clients and uses OGC standards for data sharing and service providing. The framework will have to handle weather parameters stored in a set of NetCDF files In this case, the forecast for the two days is generated every day. There are other parameters required by the users such as thermal comfort or wind chill that have to be processed afterwards
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