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Dynamic data-driven environmental sy...

(1998 :)

Dynamic data-driven environmental systems sciencefirst International Conference, DyDESS 2014, Cambridge, MA, USA, November 5-7, 2014 : revised selected papers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Dynamic data-driven environmental systems scienceedited by Sai Ravela, Adrian Sandu.
其他題名:	first International Conference, DyDESS 2014, Cambridge, MA, USA, November 5-7, 2014 : revised selected papers /
其他題名:	DyDESS 2014
其他作者:	Ravela, Sai.
團體作者:
出版者:	Cham :Springer International Publishing :2015.
面頁冊數:	xi, 360 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	DatabasesCongresses.
電子資源:	http://dx.doi.org/10.1007/978-3-319-25138-7
ISBN:	9783319251387$q(electronic bk.)

Dynamic data-driven environmental systems sciencefirst International Conference, DyDESS 2014, Cambridge, MA, USA, November 5-7, 2014 : revised selected papers /
Dynamic data-driven environmental systems sciencefirst International Conference, DyDESS 2014, Cambridge, MA, USA, November 5-7, 2014 : revised selected papers /[electronic resource] :DyDESS 2014edited by Sai Ravela, Adrian Sandu. - Cham :Springer International Publishing :2015. - xi, 360 p. :ill., digital ;24 cm. - Lecture notes in computer science,89640302-9743 ;. - Lecture notes in computer science ;4891..

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.

ISBN: 9783319251387$q(electronic bk.)

Standard No.: 10.1007/978-3-319-25138-7doiSubjects--Topical Terms:

384615
Databases
--Congresses.

LC Class. No.: QA76.76.A65

Dewey Class. No.: 005.7

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