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Montanari, A. (author), Shoemaker, C.A. (author), Van de Giesen, N.C. (author)
This paper introduces the Water Resources Research special section on Uncertainty Assessment in Surface and Subsurface Hydrology. Over the past years, hydrological literature has seen a large increase in the number of papers dealing with uncertainty. In this article, we present an overview of the different sources of uncertainty and the...
journal article
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Winsemius, H.C. (author), Savenije, H.H.G. (author), Van de Giesen, N.C. (author), Van den Hurk, B.J.J.M. (author), Zapreeva, E.A. (author), Klees, R. (author)
The temporal signature of terrestrial storage changes inferred from the Gravity Recovery and Climate Experiment (GRACE) has been assessed by comparison with outputs from a calibrated hydrological model (lumped elementary watershed (LEW)) of the upper Zambezi and surroundings and an inspection of the within?month ground track coverage of GRACE...
journal article 2006
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Hausner, M.B. (author), Suarez, F. (author), Glander, K.E. (author), Van de Giesen, N.C. (author), Selker, J.S. (author), Tyler, S.W. (author)
Hydrologic research is a very demanding application of fiber-optic distributed temperature sensing (DTS) in terms of precision, accuracy and calibration. The physics behind the most frequently used DTS instruments are considered as they apply to four calibration methods for single-ended DTS installations. The new methods presented are more...
journal article 2011
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Van de Giesen, N.C. (author), Steele-Dunn, S.C. (author), Jansen, J. (author), Hoes, O.A.C. (author), Hausner, M.B. (author), Tyler, S. (author), Selker, J. (author)
Over the past five years, Distributed Temperature Sensing (DTS) along fiber optic cables using Raman backscattering has become an important tool in the environmental sciences. Many environmental applications of DTS demand very accurate temperature measurements, with typical RMSE < 0.1 K. The aim of this paper is to describe and clarify the...
journal article 2012
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Weijs, S.V. (author), Van de Giesen, N. (author), Parlange, M.B. (author)
From algorithmic information theory, which connects the information content of a data set to the shortest computer program that can produce it, it is known that there are strong analogies between compression, knowledge, inference and prediction. The more we know about a data generating process, the better we can predict and compress the data. A...
journal article 2013
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