Dynamic data-driven environmental systems science [electronic resource] : First International Conference, DyDESS 2014, Cambridge, MA, USA, November 5-7, 2014, Revised Selected Papers / edited by Sai Ravela, Adrian Sandu.
2015
QA76.76.A65
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Title
Dynamic data-driven environmental systems science [electronic resource] : First International Conference, DyDESS 2014, Cambridge, MA, USA, November 5-7, 2014, Revised Selected Papers / edited by Sai Ravela, Adrian Sandu.
Meeting Name
ISBN
9783319251387 electronic book
3319251384 electronic book
9783319251370
3319251384 electronic book
9783319251370
Published
Cham : Springer, 2015.
Language
English
Description
1 online resource (xi, 360 pages) : illustrations.
Item Number
10.1007/978-3-319-25138-7 doi
Call Number
QA76.76.A65
Dewey Decimal Classification
005.7
Summary
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.
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text file PDF
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Series
Lecture notes in computer science ; 8964.
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.
Available in Other Form
Print version: 9783319251370
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Table of Contents
Sensing
Environmental applications
Reduced representations and features
data assimilation and uncertainty quantification
Planning and adaptive observation.
Environmental applications
Reduced representations and features
data assimilation and uncertainty quantification
Planning and adaptive observation.