Posters HS2.1.6
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HS2.1.6 Process understanding in models - Improving hydrologic realism and reducing model weaknesses |
| Convener: Björn Guse | Co-Conveners: Shervan Gharari , Charles Luce , Martyn Clark |
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Attendance Time: Wednesday, 11 April 2018, 17:30–19:00 Hall A Chairperson: Björn Guse, Charlie Luce |
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A.47
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EGU2018-206
Reproducing observational evidence through hydrologic model simulations in a small agricultural catchment Borbála Széles, Juraj Parajka, Jürgen Komma, Rui Tong, Mariette Vreugdenhil, Rasmiaditya Silasari, Markus Oismüller, and Günter Blöschl |
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A.48
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EGU2018-8791
Conceptual model building inspired by field-mapped runoff generation mechanisms Alberto Viglione, Magdalena Rogger, Herbert Pirkl, Juraj Parajka, and Günter Blöschl |
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A.49
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EGU2018-6890
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Analyzing the hydrograph to get insights about catchment characteristics Marco Dal Molin, Mario Schirmer, and Fabrizio Fenicia |
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A.50
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EGU2018-12502
Hydrograph separation using recursive filters and causal objective functions Damien Delforge, Marnik Vanclooster, and Michel Van Camp |
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A.51
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EGU2018-3541
Overland flow velocities on semiarid hillslopes Viktor Polyakov, Mark Mearing, and Jeffry Stone |
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A.52
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EGU2018-18631
Development, testing and application of thermos-dynamics and hydro-geomorphic components in GSSHA hydrologic model - Dynamic coupling across different modelling domains Nawa Raj Pradhan, Charles Downer, Gary Brown, Ian E. Floyd, and Markus Berli |
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A.53
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EGU2018-8100
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A new wetting – drying algorithm integrated in SLIM, with an application to the Tonle Sap lake, Mekong Hoang Anh Le, Vu Xuan Huyen Dang, Jonathan Lambrechts, Sigrun Ortleb, Valentin Vallaeys, David Vincent, Nicolas Gratiot, Sandra Soares-Frazao, and Eric Deleersnijder |
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A.54
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EGU2018-6895
Legacy, not adequacy, drives the selection of conceptual hydrological models: how did we get there? Nans Addor and Lieke Melsen |
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A.55
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EGU2018-6232
A Case Study for Testing Automatic Model Structure Identification as a Tool for Identifying Hydrologic Change Diana Spieler, Robert Schwarze, Burkhard Beudert, and Niels Schütze |
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A.56
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EGU2018-3838
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Relating differences in conceptual model accuracy to climatic forcing, catchment characteristics and model structure Wouter Knoben, Ross Woods, and Jim Freer |
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A.57
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EGU2018-3520
Increasing complexity in model structure and likelihood function helps to identify dominant streamflow mechanisms: A case study of two small forest basins in Brazil Paula Cunha David, Debora Yumi de Oliveira, and Pedro Luiz Borges Chaffe |
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A.58
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EGU2018-1900
Toy models for increasing the understanding on stochastic process-based modelling Georgia Papacharalampous, Demetris Koutsoyiannis, and Alberto Montanari |
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A.59
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EGU2018-3451
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Site specific adjustments in the hydrological unit of the mathematical model: HYPE version 4.10.7 Arturs Veinbergs, Ainis Lagzdins, Ritvars Sudars, and Didzis Lauva |
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A.60
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EGU2018-8373
Topography and Vegetation Controls of the Hydrological Responses in a Semi-Arid Forested Headwater Catchment Yuan-Hao Fang, Xingnan Zhang, Guo-Yue Niu, and Bo Qu |
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A.61
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EGU2018-5467
Towards the best Representative Elementary Scale for distributed models. Gabriele Baroni and Sabine Attinger |
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A.62
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EGU2018-4815
Parameterisation of the Dynamic TOPMODEL national-scale hydrological model using uncertain Multiscale Parameter Regionalisation. Rosanna Lane, Gemma Coxon, Thorsten Wagener, and Jim Freer |
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A.63
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EGU2018-5317
Revisiting the PLUMBER Experiments from a Process-Diagnostics Perspective Grey Nearing, Benjamin Ruddell, Martyn Clark, Bart Nissan, and Christa Peters-Lidard |
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A.64
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EGU2018-6490
Investigating parameter transferability across models and events for an application in a semi-arid Mediterranean catchment Enrica Perra, Monica Piras, Roberto Deidda, Giuseppe Mascaro, and Claudio Paniconi |
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A.65
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EGU2018-18434
A standardized hydrological model framework for the updating flood risk maps in southern Germany Franziska Villinger, Jürgen Ihringer, and Erwin Zehe |
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A.66
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EGU2018-7164
Identification of sparse set of performance criteria for hydrological model evaluation using principal components analysis Björn Guse, Christian Lehr, and Nicola Fohrer |
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A.67
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EGU2018-9970
Is There Really a Tension between Parsimony and Predictive Power? Lessons on Validation Using a Snow Model with Variation in Complexity Charles Luce and Abigail Lute |
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A.68
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EGU2018-15506
Identifying the properties of behavioural parameter sets for rainfall-runoff models through optimisation and clustering analysis Thibault Hallouin and Michael Bruen |
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A.69
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EGU2018-15557
Incorporating water isotopic concentration to estimate surface roughness coefficient of Manning formula in catchment scale Wei-Lun Huang and Jr-Chuan Huang |
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A.70
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EGU2018-4697
Improving predictions in ungauged basins through combination of several regionalization methods Laura Rouhier, Federico Garavaglia, Le Lay Matthieu, Le Moine Nicolas, Monteil Céline, Hendrickx Frédéric, and Ribstein Pierre |
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A.71
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EGU2018-1584
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Semi-automatic calibration of the LARSIM model using the SCEUA method in respect of high-flow simulation Kai-Feng Chen, Iris Konnerth, Marco Deubler, Michelle Härder, and Markus Disse |
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A.72
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EGU2018-17122
Regional assessment of water balance at the water bodies scale using hydrological signatures Petr Pavlík, Martin Hanel, Petr Máca, and Adam Vizina |