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Temporal Moments revisited: Why there is no better way for physically-based model reduction in time

, , and . Water Resources Research, 48 (11): 14 (2012)
DOI: 10.1029/2012WR011973

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Methods for Physically-Based Model Reduction in Time: Analysis, Comparison of Methods and Application. Universität Stuttgart, Doctoral dissertation, (2013)Temporal Moments revisited: Why there is there no better way for physically-based model reduction in time, , and . Fall Meeting 2011, Abstract: H23D-1314, San Francisco, CA, USA, American Geophysical Union (AGU), (December 2011)Temporal Moments revisited: Why there is there nobetter way for physically-based model reduction in time, , and . Water Resources Research, (2012)Temporal Moments revisited: Why there is no better way for physically-based model reduction in time, , and . Water Resources Research, 48 (11): 14 (2012)Zurück in die Unsicherheit - Stochastische Modellierung von Hydrosystemen, , , , , , and . Stuttgart, Germany, LH2-Kolloquium, (October 2011)Flow Radar Glyphs-Static Visualization of Unsteady Flow with Uncertainty, , , and . IEEE Transactions on Visualization and Computer Graphics, 17 (12): 1949--1958 (2011)Bayesian assessment of the expected data impact on prediction confidence in optimal sampling design, , and . Water Resources Research, 48 (2): 16 (2012)Temporal Moments revised, or is there a better way for physically-based model reduction in time?, and . General Assembly 2011, Geophysical Research Abstracts 13: EGU2011-6756, 2011, Vienna, Austria, European Geosciences Union (EGU), (April 2011)Optimal Site Investigation: What data to collect so that calibrated models have best prognistic power?, , , and . Tübingen, Germany, Invited lecture: FH-DGG Tagung 2010, Grundwasser für die Zukunft, (May 2010)A flexible Bayesian assessment for the expected impact of data on prediction confidence for optimal sampling designs, , and . General Assembly 2010, Geophysical Research Abstracts 12: EGU2010-12375, 2010, Vienna, Austria, European Geosciences Union (EGU), (May 2010)