Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/45789
Título: Design for geospatially enabled climate modeling and alert system (CLIMSYS)
Autor: Bhattacharya, Devanjan
Painho, Marco
Palavras-chave: Climate modeling
Natural hazards
Sensor web
Spatial data infrastructure
Spatial enablement
Software
Data: 1-Ago-2018
Editora: Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
Resumo: 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.
Descrição: Bhattacharya, D. & Painho, M. (2018). Design for Geospatially Enabled Climate Modeling and Alert System. In Stephan Winter, Amy Griffin & Monika Sester (Eds.), 10th International Conference on Geographic Information Science (GIScience 2018), 22, pp. 22:1–22:6. Leibniz International Proceedings in Informatics (LIPIcs), Vol. 114. Dagstuhl, Germany: Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik. ISBN: 978-3-95977-083-5; ISSN: 1868-8969. DOI: 10.4230/LIPIcs.GISCIENCE.2018.22. URL: http://drops.dagstuhl.de/opus/volltexte/2018/9350/
Peer review: yes
URI: http://www.scopus.com/inward/record.url?scp=85051352429&partnerID=8YFLogxK
DOI: https://doi.org/10.4230/LIPIcs.GIScience.2018.22
ISBN: 9783959770835
Aparece nas colecções:NIMS: MagIC - Documentos de conferências internacionais

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