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Long-term capacity and failure analysis of the Ruhr reservoir system
In this paper, a long-term capacity analysis is presented for the Ruhr Reservoir System in German...
D Schwanenberg, G Morgenschweis, J Beersma | Status: submitted | Journal: Journal of River Basin Management | Year: 2010
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The GABLS Third Intercomparison Case for Boundary Layer Model Evaluation Part B: Results and Process Understanding
This study describes and analyzes the results of the third GEWEX Atmospheric Boundary Layer Studi...
FC Bosveld, P Baas, GJ Steeneveld, AAM Holtslag, WM Angevine, E Bazile, EIF de Bruijn, D Deacu, JM Edwards, M Ek, VE Larson, JE Pleim, M Raschendorfer, G Svensson | Status: published | Journal: Bound.-Layer Meteorol. | Volume: 152 | Year: 2014 | First page: 157 | Last page: 187 | doi: 10.1007/s10546-014-9919-1
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In-operation field-of-view retrieval (IFR) for satellite and ground-based DOAS-type instruments applying coincident high-resolution imager data
This paper presents an independent, simple and robust method to retrieve the FOV of an instrument...
H Sihler, P Lübcke, R Lang, S Beirle, M de Graaf, C Hörmann, J Lampel, M Penning de Vries, J Remmers, E Trollope, Y Wang | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 10 | Year: 2017 | First page: 881 | Last page: 903 | doi: 10.5194/amt-10-881-2017
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On the Nonparametric Prediction of Conditionally Stationary Sequences
We prove the strong consistency of estimators of the conditional distribution function and condit...
S Caires, JA Ferreira | Status: published | Journal: Statistical Inference for Stochastic Processes | Volume: 8 | Year: 2005 | First page: 151 | Last page: 184 | doi: 10.1007/s11203-004-0383-2
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Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks
Modeling dependencies between climate extremes is important for climate risk assessment, for inst...
Y Boulaguiem, J Zschleischler, E Vignotto, K van der Wiel, S Engelke | Journal: Environmental Data Science | Volume: 1 | Year: 2022 | First page: e5 | doi: 10.1017/eds.2022.4
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