Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8964)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Conference series link(s): DyDESS: International Conference on Dynamic Data-Driven Environmental Systems Science
Conference proceedings info: DyDESS 2014.
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Table of contents (31 papers)
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Data Assimilation and Uncertainty Quantification
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Front Matter
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Planning and Adaptive Observation
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Front Matter
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Back Matter
About this book
The 24 revised full papers and 7 short papers were carefully reviewed and selected from 62 submissions and cover topics on sensing, imaging and retrieval  for the oceans, atmosphere, space, land, earth and planets that is informed by the environmental context;  algorithms for modeling and simulation, downscaling, model reduction, data assimilation, uncertainty quantification and statistical learning; methodologies for planning and control, sampling and adaptive observation, and efficient coupling of these algorithms into information-gathering and observing system designs; and applications of methodology to environmental estimation, analysis and prediction including climate, natural hazards, oceans, cryosphere, atmosphere, land, space, earth and planets.
Keywords
- bayesian inference
- dynamic programming
- ensemble learning
- hybrid method
- simulation
- data uncertainty
- dynamic data-driven
- invariant manifolds
- level-set method
- middleware
- multi-objective assimilation
- path planning
- real-time
- reduced modeling
- risk analysis
- state estimation
- time-optimal
- uncertainty quantification
- volume reconstruction
- workflows
Editors and Affiliations
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Massachusetts Inst. of Technology, Cambridge, USA
Sai Ravela
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VA Polytechnic Institute and State Univ., Blacksburg, USA
Adrian Sandu
Bibliographic Information
Book Title: Dynamic Data-Driven Environmental Systems Science
Book Subtitle: First International Conference, DyDESS 2014, Cambridge, MA, USA, November 5-7, 2014, Revised Selected Papers
Editors: Sai Ravela, Adrian Sandu
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-25138-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-25137-0Published: 27 November 2015
eBook ISBN: 978-3-319-25138-7Published: 26 November 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 360
Number of Illustrations: 145 illustrations in colour
Topics: Information Systems Applications (incl. Internet), Algorithm Analysis and Problem Complexity, Computer Communication Networks, Artificial Intelligence, Software Engineering, User Interfaces and Human Computer Interaction
Industry Sectors: Aerospace, Automotive, Biotechnology, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, Finance, Business & Banking, IT & Software, Law, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications