scholarly journals An Investigation of Wavelet Bases for Grid-Based Multi-Scale Simulations Final Report

10.2172/1902 ◽  
1998 ◽  
Author(s):  
R.S. Baty ◽  
S.P. Burns ◽  
M.A. Christon ◽  
D.W. Roach ◽  
T.G. Trucano ◽  
...  
Keyword(s):  
Final Report ◽  
Wavelet Bases ◽  
Multi Scale ◽  
Grid Based

scholarly journals Final report for LDRD Project 94-ERD-037: multi-scale atmospheric simulation system

1997 ◽  
Author(s):  
M.M. Bradley ◽  
H.N. Chin ◽  
M.J. Leach ◽  
J.R. Albritton ◽  
J. Kong ◽  
...  
Keyword(s):  
Simulation System ◽  
Final Report ◽  
Multi Scale

scholarly journals Geoelectrical Measurement of Multi-Scale Mass Transfer Parameters Final Report to the Subsurface Biogeochemical Research Program

2014 ◽  
Author(s):  
Frederick Day-Lewis ◽  
Kamini Singha ◽  
Roy Haggerty ◽  
Timothy Johnson ◽  
Andrew Binley ◽  
...  
Keyword(s):  
Mass Transfer ◽  
Research Program ◽  
Final Report ◽  
Multi Scale ◽  
Transfer Parameters

scholarly journals Adaptive Multi-Scale Shallow Flow Model: a Wavelet-Based Formulation

10.29007/vm3q ◽  
2018 ◽  
Author(s):  
Georges Kesserwani ◽  
Mohammad Kazem Sharifian ◽  
James Shaw
Keyword(s):  
Flow Model ◽  
Adaptive Mesh ◽  
Mesh Adaptivity ◽  
Wavelet Bases ◽  
Multi Scale ◽  
Wide Range ◽  
Mesh Resolution ◽  
Local Solutions ◽  
Flow Variables ◽  
Shallow Flow Model

This work outlines the use of wavelet bases to re-formulate a finite volume (FV) local solution of the shallow water equations (SWEs), so as to achieve mesh adaptivity via local compression and truncation of the numerical solution’s details across successive resolution scales with reference to a single threshold error set by the user. The wavelet bases naturally lead to a scalable FV formulation and how they can readily be exploited to achieve adaptive mesh-resolution selection: up-scaling and/or down- scaling by means of the local solutions’ data (i.e. both flow variables and terrain). Our results show a notable promise in using wavelets as a basis for future flood models to achieve conservative and more autonomous simulation at a wide range of length-scales.

scholarly journals Multi-scale Data Sharing in the Life Sciences: Some Lessons for Policy Makers

2009 ◽  
Vol 4 (3) ◽  
pp. 71-82 ◽  
Author(s):  
Graham Pryor
Keyword(s):  
Data Sharing ◽  
Life Sciences ◽  
Informed Choice ◽  
Final Report ◽  
Policy Makers ◽  
Multi Scale ◽  
Produce Change ◽  
University Of Edinburgh ◽  
The University ◽  
Scale Data

Drawing on the final report on a recent series of case studies in the life sciences at the University of Edinburgh, this paper explores the attitudes and perceptions of researchers towards data sharing and contrasts these with the policies of the major research funders. Notwithstanding economic, technical and cultural inhibitors, the general ethos in the Life Sciences is one of support to the principle of data sharing. However, this position is subject to a complex range of qualifications, not least the crucial need for sharing through collaboration. The kind of generic vision for data sharing that is currently promoted by national agencies is judged to be neither productive nor effective.  Only close engagement with research practitioners in the identification of bottom-up strategies that preserve the exercise of informed choice - a fundamental and persistent element of scientific research - will produce change on a national scale.

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