TY  - BOOK
AU  - Ravela,Sai
AU  - Sandu,Adrian
ED  - DyDESS (Conference)
TI  - Dynamic data-driven environmental systems science: First International Conference, DyDESS 2014, Cambridge, MA, USA, November 5-7, 2014, Revised Selected Papers 
T2  - Lecture Notes in Computer Science,
SN  - 9783319251387
AV  - QA76.76.A65 
U1  - 005.7 23
PY  - 2015///
CY  - Cham
PB  - Springer
KW  - Databases
KW  - Congresses
KW  - Environmental sciences
KW  - Computer science
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KW  - Artificial Intelligence
KW  - Sciences de l'environnement
KW  - Congrès
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KW  - Algorithmes
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KW  - aat
KW  - artificial intelligence
KW  - Algorithms & data structures
KW  - bicssc
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KW  - Actes de congrès
N1  - Includes bibliographical references and index; Sensing -- Environmental applications -- Reduced representations and features -- data assimilation and uncertainty quantification -- Planning and adaptive observation
N2  - 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
UR  - https://link.springer.com/10.1007/978-3-319-25138-7
ER  -