License: 
Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.GISCIENCE.2018.22
URN: urn:nbn:de:0030-drops-93504
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9350/
Bhattacharya, Devanjan ;
Painho, Marco
Design for Geospatially Enabled Climate Modeling and Alert System (CLIMSYS): A Position Paper (Short Paper)
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.
BibTeX - Entry
@InProceedings{bhattacharya_et_al:LIPIcs:2018:9350,
author = {Devanjan Bhattacharya and Marco Painho},
title = {{Design for Geospatially Enabled Climate Modeling and Alert System (CLIMSYS): A Position Paper (Short 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 = {Stephan Winter and Amy Griffin and Monika Sester},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2018/9350},
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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Keywords: |
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Spatial enablement, climate modeling, natural hazards, spatial data infrastructure, sensor web |
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Collection: |
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10th International Conference on Geographic Information Science (GIScience 2018) |
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Issue Date: |
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2018 |
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Date of publication: |
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02.08.2018 |
