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Instituto Superior de Estatística e Gestão de Informação (ISEGI) >
ISEGI - MSc Dissertations Geospatial Technologies (Erasmus-Mundus) >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10362/8255
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| Title: | Accessing meteorological data in INSPIRE |
| Authors: | Nachappa, Thimmiah Gudiyangada |
| Advisor: | Canut, Carlos Granell Schade, Sven Julião, Rui Pedro |
| Keywords: | Meteorology CSML INSPIRE Download Service OGC Geospatial Web Services |
| Issue Date: | 4-Mar-2009 |
| Series/Report no.: | Master of Science in Geospatial Technologies;TGEO0035 |
| Abstract: | In the information age, information is of vital importance to the economic and social development
of a country. Meteorological data, is multidimensional, continually evolving, highly spatial and
highly temporal in nature. It is of great importance to a wide range of stakeholders including
national agencies, private weather services, defense, transportation, aviation, national
infrastructures, financial institutions and the general public. Members of the WMO (World
Meteorological Organization) have vast amounts of data. However, this data is stored in many
different formats based on various conceptual models (e.g. BUFR, GRIB, NetCDF, HDF). INSPIRE
is a European Union initiative to create interoperability between spatial datasets among various
communities. The main goal of this project is to suggest the most appropriate INSPIRE Download
Service to access meteorological data. This project uses BUFR data and tries to access it through
Climate Science Modeling Language (CSML), which is a data model and software framework for
accessing meteorological data and retrieve it through standard geospatial web services. Based on
the testing, suitable INSPIRE Download Service will be suggested. This helps to bridge the gaps
between the geospatial, meteorological communities, and policy makers. |
| Description: | Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies. |
| URI: | http://hdl.handle.net/10362/8255 |
| Appears in Collections: | ISEGI - MSc Dissertations Geospatial Technologies (Erasmus-Mundus)
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