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ThinkMind // DBKDA 2013, The Fifth International Conference on Advances in Databases, Knowledge, and Data Applications // View article dbkda_2013_8_10_30066
Data and Provenance Management for Climate Effect Studies. Daption of Climate Data with Distribution Based Scaling for Hydrological Simulations
 Authors: Lena Strömbäck Kean Foster Jörgen Rosberg Keywords: workflow systems; climate studies; hydrology; data management; quality insurance; DBS tailoring tool; provenance Abstract: Climate effect studies are currently of high interest to predict the impact of a changing climate. The results of such studies are used by decision makers as a basis for planning how to mitigate and adapt to the effects of expected climate changes. However, these studies require heavy computations on large sets of data in several steps. This combination of heavy computation and results being basis for important decisions makes it extremely important to have an efficient and well documented process for computations, to provide accurate results in an efficient way. In this paper we describe the problem and present our DBS (Distribution Based Scaling) tailoring tool that has been implemented to support the process. We discuss the problem and our solution in relation to scientific workflow systems and provenance engines in general. Pages: 198 to 203 Copyright: Copyright (c) The Government of Sweden, 2013. Used by permission to IARIA. Publication date: January 27, 2013 Published in: conference ISSN: 2308-4332 ISBN: 978-1-61208-247-9 Location: Seville, Spain Dates: from January 27, 2013 to February 1, 2013
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