Dynamic data-driven environmental systems science : First International Conference, DyDESS 2014, Cambridge, MA, USA, November 5-7, 2014, Revised Selected Papers / edited by Sai Ravela, Adrian Sandu.Material type: TextSeries: Serienbezeichnung | Lecture notes in computer science ; 8964. | LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.Publisher: Cham : Springer, 2015Description: 1 online resource (xi, 360 pages) : color illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783319251387; 3319251384Other title: DyDESS 2014Subject(s): Databases -- Congresses | Environmental sciences -- Congresses | Computer science | Computer networks | Software engineering | Algorithms | User interfaces (Computer systems) | Artificial intelligence | Algorithms & data structures | Network hardware | Artificial intelligence | Software Engineering | User interface design & usability | Information retrieval | Computers -- Programming -- Algorithms | Computers -- Hardware -- Network Hardware | Computers -- Intelligence (AI) & Semantics | Computers -- Software Development & Engineering -- General | Computers -- User Interfaces | Computers -- Information Technology | Algorithms | Artificial intelligence | Computer networks | Computer science | Databases | Environmental sciences | Software engineering | User interfaces (Computer systems)Genre/Form: Electronic books. | Conference papers and proceedings. Additional physical formats: Printed edition:: No titleDDC classification: 005.7 LOC classification: QA76.76.A65Online resources: Click here to access online
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Sensing -- Environmental applications -- Reduced representations and features -- data assimilation and uncertainty quantification -- Planning and adaptive observation.
This book constitutes the refereed proceedings of the First International Conference on Dynamic Data-Driven Environmental Systems Science, DyDESS 2014, held in Cambridge, MA, USA, in November 2014. 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.
Includes bibliographical references and index.