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Short Paper
Design for Geospatially Enabled Climate Modeling and Alert System (CLIMSYS): A Position Paper (Short Paper)

Authors: Devanjan Bhattacharya and Marco Painho

Published in: LIPIcs, Volume 114, 10th International Conference on Geographic Information Science (GIScience 2018)


Abstract
The paper brings the focus on to multi-disciplinary approach of presenting climate analysis studies, taking help of interdisciplinary fields to structure the information. The system CLIMSYS provides the crucial element of spatially enabling climate data processing. Even though climate change is a matter of great scientific relevance and of broad general interest, there are some problems related to its communication. Its a fact that finding practical, workable and cost-efficient solutions to the problems posed by climate change is now a world priority and one which links government and non-government organizations in a way not seen before. An approach that should suffice is to create an accessible intelligent system that houses prior knowledge and curates the incoming data to deliver meaningful results. The objective of the proposed research is to develop a generalized system for climate data analysis that facilitates open sharing, central implementation, integrated components, knowledge creation, data format understanding, inferencing and ultimately optimal solution delivery, by the way of geospatial enablement.

Cite as

Devanjan Bhattacharya and Marco Painho. Design for Geospatially Enabled Climate Modeling and Alert System (CLIMSYS): A Position Paper (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 22:1-22:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)


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@InProceedings{bhattacharya_et_al:LIPIcs.GISCIENCE.2018.22,
  author =	{Bhattacharya, Devanjan and Painho, Marco},
  title =	{{Design for Geospatially Enabled Climate Modeling and Alert System (CLIMSYS): A Position Paper}},
  booktitle =	{10th International Conference on Geographic Information Science (GIScience 2018)},
  pages =	{22:1--22:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Winter, Stephan and Griffin, Amy and Sester, Monika},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.22},
  URN =		{urn:nbn:de:0030-drops-93504},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.22},
  annote =	{Keywords: Spatial enablement, climate modeling, natural hazards, spatial data infrastructure, sensor web}
}
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