A Regularization Approach to Improve the Sequential Calibration of a Semidistributed Hydrological Model

A Regularization Approach to Improve the Sequential Calibration of a Semidistributed Hydrological Model

[1]  G. Thirel,et al.  Spatial variability of the parameters of a semi-distributed hydrological model , 2016 .

[2]  C. Cudennec,et al.  Transferring measured discharge time series: Large‐scale comparison of Top‐kriging to geomorphology‐based inverse modeling , 2016 .

[3]  Florent Lobligeois.  Mieux connaître la distribution spatiale des pluies améliore-t-il la modélisation des crues ? Diagnostic sur 181 bassins versants français , 2014 .

[4]  Vazken Andréassian,et al.  Spatial proximity, physical similarity, regression and ungaged catchments: A comparison of regionalization approaches based on 913 French catchments , 2008 .

[5]  Kuolin Hsu,et al.  From lumped to distributed via semi-distributed: Calibration strategies for semi-distributed hydrologic models , 2012 .

[6]  Yuan Li,et al.  Hydrologic model calibration using remotely sensed soil moisture and discharge measurements: The impact on predictions at gauged and ungauged locations , 2018 .

[7]  Claude Michel,et al.  Flood routing in a wide channel with a quadratic lag-and-route method , 1997 .

[8]  Thorsten Wagener,et al.  Characterizing and reducing equifinality by constraining a distributed catchment model with regional signatures, local observations, and process understanding , 2016 .

[9]  Yi-Chen E. Yang,et al.  Calibration approaches for distributed hydrologic models in poorly gaged basins: implication for streamflow projections under climate change , 2015 .

[10]  Hoshin V. Gupta,et al.  On the use of spatial regularization strategies to improve calibration of distributed watershed models , 2010 .

[11]  Göran Lindström,et al.  Development and test of the distributed HBV-96 hydrological model , 1997 .

[12]  Balaji Rajagopalan,et al.  Are we unnecessarily constraining the agility of complex process‐based models? , 2015 .

[13]  Julien Lerat,et al.  Do internal flow measurements improve the calibration of rainfall‐runoff models? , 2012 .

[14]  Hubert H. G. Savenije,et al.  Constraining Conceptual Hydrological Models With Multiple Information Sources , 2018, Water Resources Research.

[15]  Massimiliano Zappa,et al.  How can expert knowledge increase the realism of conceptual hydrological models? A case study based on the concept of dominant runoff process in the Swiss Pre-Alps , 2018, Hydrology and Earth System Sciences.

[16]  K. Jensen,et al.  Distributed hydrological modelling of the Senegal River Basin — model construction and validation , 2001 .

[17]  Sabine Attinger,et al.  Implications of distributed hydrologic model parameterization on water fluxes at multiple scales and locations , 2013 .

[18]  Guillaume Thirel,et al.  The suite of lumped GR hydrological models in an R package , 2017, Environ. Model. Softw..

[19]  D. Dutta,et al.  Reducing propagation of uncertainty in river system modelling by optimal use of streamflow data , 2013 .

[20]  C. Perrin,et al.  ‘As simple as possible but not simpler’: What is useful in a temperature-based snow-accounting routine? Part 2 – Sensitivity analysis of the Cemaneige snow accounting routine on 380 catchments , 2014 .

[21]  N. Bulygina,et al.  Conditioning rainfall-runoff model parameters for ungauged catchments and land management impacts analysis , 2009 .

[22]  D. Dutta,et al.  Optimization of a multiple gauge, regulated river‐system model. A system approach , 2016 .

[23]  Jasper A. Vrugt,et al.  Semi-distributed parameter optimization and uncertainty assessment for large-scale streamflow simulation using global optimization / Optimisation de paramètres semi-distribués et évaluation de l'incertitude pour la simulation de débits à grande échelle par l'utilisation d'une optimisation globale , 2008 .

[24]  M. Trosset,et al.  Bayesian recursive parameter estimation for hydrologic models , 2001 .

[25]  Berit Arheimer,et al.  A regional parameter estimation scheme for a pan-European multi-basin model , 2016 .

[26]  András Bárdossy,et al.  Modeling of the effect of land use changes on the runoff generation of a river basin through parameter regionalization of a watershed model , 2004 .

[27]  Dmitri Kavetski,et al.  From spatially variable streamflow to distributed hydrological models: Analysis of key modeling decisions , 2016 .

[28]  C. Perrin,et al.  Impact of temporal resolution of inputs on hydrological model performance: An analysis based on 2400 flood events , 2016 .

[29]  R. Srinivasan,et al.  Hydrological modelling of the Vistula and Odra river basins using SWAT , 2017 .

[30]  Jean-Philippe Vidal,et al.  A 50‐year high‐resolution atmospheric reanalysis over France with the Safran system , 2010 .

[31]  Erwin Zehe,et al.  A review of regionalisation for continuous streamflow simulation , 2011 .

[32]  V. Klemeš,et al.  Operational Testing of Hydrological Simulation Models , 2022 .

[33]  Nanée Chahinian,et al.  Distributed hydrological modelling of a Mediterranean mountainous catchment – Model construction and multi-site validation , 2007 .

[34]  Peter Strauss,et al.  Hydrology and Earth System Sciences Multi-site Calibration, Validation, and Sensitivity Analysis of the Mike She Model for a Large Watershed in Northern China , 2022 .

[35]  J. Ihringer,et al.  Modeling water flow and mass transport in a loess catchment , 2001 .

[36]  Berit Arheimer,et al.  Catchment modelling at the global scale using the World-Wide HYPE (WWH) , 2019 .

[37]  Hoshin Vijai Gupta,et al.  Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling , 2009 .

[38]  Félix Francés,et al.  Split-parameter structure for the automatic calibration of distributed hydrological models , 2007 .

[39]  Carine Poncelet.  Du bassin au paramètre : jusqu'où peut-on régionaliser un modèle hydrologique conceptuel ? , 2016 .

[40]  D. Seo,et al.  Overall distributed model intercomparison project results , 2004 .

[41]  Rachel Puechberty,et al.  La refonte du système d'information national pour la gestion et la mise à disposition des données hydrométriques , 2014 .

[42]  C. Obled,et al.  Choix des pas de temps et d'espace pour des modélisations parcimonieuses en hydrologie des crues , 2009 .

[43]  Hoshin Vijai Gupta,et al.  Debates—the future of hydrological sciences: A (common) path forward? Using models and data to learn: A systems theoretic perspective on the future of hydrological science , 2014 .

[44]  Cécile Loumagne,et al.  When does higher spatial resolution rainfall information improve streamflow simulation? An evaluation using 3620 flood events , 2013 .

[45]  Sabine Attinger,et al.  Toward seamless hydrologic predictions across spatial scales , 2017 .

[46]  David G. Tarboton,et al.  Application of TOPNET in the distributed model intercomparison project , 2004 .

[47]  Dmitri Kavetski,et al.  Elements of a flexible approach for conceptual hydrological modeling: 1. Motivation and theoretical development , 2011 .

[48]  John Doherty,et al.  An advanced regularization methodology for use in watershed model calibration , 2006 .

[49]  Dennis P. Lettenmaier,et al.  Development of regional parameter estimation equations for a macroscale hydrologic model , 1997 .

[50]  M. Mancini,et al.  Catchment Multisite Discharge Measurements for Hydrological Model Calibration , 2013 .

[51]  P. E. O'connell,et al.  IAHS Decade on Predictions in Ungauged Basins (PUB), 2003–2012: Shaping an exciting future for the hydrological sciences , 2003 .

[52]  Hoshin Vijai Gupta,et al.  On the ability to infer spatial catchment variability using streamflow hydrographs , 2011 .

[53]  András Bárdossy,et al.  Comparison of four regionalisation methods for a distributed hydrological model , 2007 .

[54]  Hoshin Vijai Gupta,et al.  Multiple-criteria calibration of a distributed watershed model using spatial regularization and response signatures , 2012 .

[55]  Hubert H. G. Savenije,et al.  Using expert knowledge to increase realism in environmental system models can dramatically reduce the need for calibration , 2013 .

[56]  Victor Koren,et al.  Use of soil moisture observations to improve parameter consistency in watershed calibration , 2008 .

[57]  Hoshin Vijai Gupta,et al.  A spatial regularization approach to parameter estimation for a distributed watershed model , 2008 .

[58]  Massimiliano Zappa,et al.  Process‐based hydrological modelling: The potential of a bottom‐up approach for runoff predictions in ungauged catchments , 2017 .

[59]  Günter Blöschl,et al.  A comparison of regionalisation methods for catchment model parameters , 2005 .

[60]  S. Attinger,et al.  Multiscale parameter regionalization of a grid‐based hydrologic model at the mesoscale , 2010 .

[61]  J. Doherty,et al.  A hybrid regularized inversion methodology for highly parameterized environmental models , 2005 .