Moving beyond run‐off calibration—Multivariable optimization of a surface–subsurface–atmosphere model
暂无分享,去创建一个
Simon Stisen | Karsten H. Jensen | Jens Christian Refsgaard | Julian Koch | Simone Bircher | Torben O. Sonnenborg | K. Jensen | S. Stisen | J. Refsgaard | S. Bircher | T. Sonnenborg | J. Koch | R. Ringgaard | Rasmus Ringgaard
[1] Julian Koch,et al. The SPAtial EFficiency metric (SPAEF): multiple-component evaluation of spatial patterns for optimization of hydrological models , 2018 .
[2] Juliane Mai,et al. Combining satellite data and appropriate objective functions for improved spatial pattern performance of a distributed hydrologic model , 2017 .
[3] S. Stisen,et al. Spatial pattern evaluation of a calibrated national hydrological model – a remote-sensing-based diagnostic approach , 2017 .
[4] Harrie-Jan Hendricks Franssen,et al. High resolution modelling of soil moisture patterns with TerrSysMP: A comparison with sensor network data , 2017 .
[5] R. Rigon,et al. Spatio‐temporal variability of water and energy fluxes – a case study for a mesoscale catchment in pre‐alpine environment , 2016 .
[6] R. Maxwell,et al. Connections between groundwater flow and transpiration partitioning , 2016, Science.
[7] J. Sheffield,et al. Spatial validation of large‐scale land surface models against monthly land surface temperature patterns using innovative performance metrics , 2016 .
[8] S. Stisen,et al. Inter-comparison of three distributed hydrological models with respect to seasonal variability of soil moisture patterns at a small forested catchment , 2016 .
[9] S. Kollet,et al. Spatio-temporal validation of long-term 3D hydrological simulations of a forested catchment using empirical orthogonal functions and wavelet coherence analysis , 2015 .
[10] David J. Dahlstrom. Calibration and Uncertainty Analysis for Complex Environmental Models , 2015 .
[11] D. Lawrence,et al. Improving the representation of hydrologic processes in Earth System Models , 2015 .
[12] Bryan A. Tolson,et al. Optimizing hydrological consistency by incorporating hydrological signatures into model calibration objectives , 2015 .
[13] Simon Stisen,et al. Toward a true spatial model evaluation in distributed hydrological modeling: Kappa statistics, Fuzzy theory, and EOF‐analysis benchmarked by the human perception and evaluated against a modeling case study , 2015 .
[14] Sara Maria Lerer,et al. Embedding complex hydrology in the regional climate system – Dynamic coupling across different modelling domains , 2014 .
[15] Pascal Côté,et al. Comparison of Stochastic Optimization Algorithms in Hydrological Model Calibration , 2014 .
[16] G. Miller,et al. A groundwater–soil–plant–atmosphere continuum approach for modelling water stress, uptake, and hydraulic redistribution in phreatophytic vegetation , 2014 .
[17] Tiantian Xiang,et al. Seasonal evolution of ecohydrological controls on land surface temperature over complex terrain , 2014 .
[18] Chiara Corbari,et al. Calibration and Validation of a Distributed Energy-Water Balance Model Using Satellite Data of Land Surface Temperature and Ground Discharge Measurements , 2014 .
[19] Andrea Viezzoli,et al. Nitrate reduction in geologically heterogeneous catchments--a framework for assessing the scale of predictive capability of hydrological models. , 2014, The Science of the total environment.
[20] A. Bronstert,et al. Three perceptions of the evapotranspiration landscape: comparing spatial patterns from a distributed hydrological model, remotely sensed surface temperatures, and sub-basin water balances , 2013 .
[21] Simon Stisen,et al. Stakeholder driven update and improvement of a national water resources model , 2013, Environ. Model. Softw..
[22] Bill X. Hu,et al. Coupling a groundwater model with a land surface model to improve water and energy cycle simulation , 2012 .
[23] E. Wood,et al. Little change in global drought over the past 60 years , 2012, Nature.
[24] Simon Stisen,et al. Hydrology and Earth System Sciences On the importance of appropriate precipitation gauge catch correction for hydrological modelling at mid to high latitudes , 2012 .
[25] J. Doherty,et al. Uncertainty assessment and implications for data acquisition in support of integrated hydrologic models , 2012 .
[26] Jens Christian Refsgaard,et al. Review of strategies for handling geological uncertainty in groundwater flow and transport modeling , 2012 .
[27] Jeffrey P. Walker,et al. A soil moisture and temperature network for SMOS validation in Western Denmark , 2011 .
[28] Matthew F. McCabe,et al. Model parameter analysis using remotely sensed pattern information in a multi-constraint framework , 2011 .
[29] Hoshin Vijai Gupta,et al. On the ability to infer spatial catchment variability using streamflow hydrographs , 2011 .
[30] M. Ek,et al. Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water , 2011 .
[31] Karsten H. Jensen,et al. HOBE: A Hydrological Observatory , 2011 .
[32] H. Soegaard,et al. Energy Fluxes above Three Disparate Surfaces in a Temperate Mesoscale Coastal Catchment , 2011 .
[33] Simon Stisen,et al. Evaluation of Climate Input Biases and Water Balance Issues Using a Coupled Surface–Subsurface Model , 2011 .
[34] Fotini Katopodes Chow,et al. Coupling groundwater and land surface processes: Idealized simulations to identify effects of terrain and subsurface heterogeneity on land surface energy fluxes , 2010 .
[35] Claudia Notarnicola,et al. Topographical and ecohydrological controls on land surface temperature in an alpine catchment , 2010 .
[36] S. Attinger,et al. Multiscale parameter regionalization of a grid‐based hydrologic model at the mesoscale , 2010 .
[37] Hoshin V. Gupta,et al. On the use of spatial regularization strategies to improve calibration of distributed watershed models , 2010 .
[38] I. Jolly,et al. Effect of groundwater freshening on riparian vegetation water balance , 2009 .
[39] Mahyar Shafii,et al. Multi-objective calibration of a distributed hydrological model (WetSpa) using a genetic algorithm , 2009 .
[40] Michael N Fienen,et al. On Constraining Pilot Point Calibration with Regularization in PEST , 2009, Ground water.
[41] A. Ibrom,et al. Remote sensing based evapotranspiration and runoff modeling of agricultural, forest and urban flux sites in Denmark: from field to macro-scale. , 2009 .
[42] Wolfgang Kinzelbach,et al. Calibration of a groundwater model using pattern information from remote sensing data , 2009 .
[43] Toshio Koike,et al. Assessment of a distributed biosphere hydrological model against streamflow and MODIS land surface temperature in the upper Tone River Basin , 2009 .
[44] H. Fowler,et al. Large scale surface – subsurface hydrological model to assess climate change impacts on groundwater reserves , 2009 .
[45] T. Sonnenborg,et al. Three-dimensional regional-scale hydrostratigraphic modeling based on sequence stratigraphic methods: a case study of the Miocene succession in Denmark , 2009 .
[46] R. Maxwell,et al. Interdependence of groundwater dynamics and land-energy feedbacks under climate change , 2008 .
[47] Andres Alcolea,et al. Regularized pilot points method for reproducing the effect of small scale variability : Application to simulations of contaminant transport , 2008 .
[48] Marcel G. Schaap,et al. Pedotransfer functions estimating soil hydraulic properties using different soil parameters , 2008 .
[49] Peter Droogers,et al. Calibration of a distributed hydrological model based on satellite evapotranspiration , 2008 .
[50] Harrie-Jan Hendricks Franssen,et al. Equally likely inverse solutions to a groundwater flow problem including pattern information from remote sensing images , 2008 .
[51] J. Wallace,et al. Evaporation from sparse crops‐an energy combination theory , 2007 .
[52] Peter Bayer,et al. Optimization of concentration control by evolution strategies: Formulation, application, and assessment of remedial solutions , 2007 .
[53] Jasper A Vrugt,et al. Improved evolutionary optimization from genetically adaptive multimethod search , 2007, Proceedings of the National Academy of Sciences.
[54] L. Darrell Whitley,et al. Comparing the Niches of CMA-ES, CHC and Pattern Search Using Diverse Benchmarks , 2006, PPSN.
[55] R. Maxwell,et al. Integrated surface-groundwater flow modeling: A free-surface overland flow boundary condition in a parallel groundwater flow model , 2006 .
[56] R. Srinivasan,et al. A global sensitivity analysis tool for the parameters of multi-variable catchment models , 2006 .
[57] Dan Rosbjerg,et al. Land-surface modelling in hydrological perspective – a review , 2006 .
[58] W. Kinzelbach,et al. A regional coupled surface water/groundwater model of the Okavango Delta, Botswana , 2006 .
[59] Keith Beven,et al. A manifesto for the equifinality thesis , 2006 .
[60] Matthew F. McCabe,et al. Spatial and temporal patterns of land surface fluxes from remotely sensed surface temperatures within an uncertainty modelling framework , 2005 .
[61] M. Butts,et al. Flexible Integrated Watershed Modeling with MIKE SHE , 2005 .
[62] Dan Rosbjerg,et al. Energy-based land-surface modelling: New opportunities in integrated hydrological modelling , 2005 .
[63] H. Madsen,et al. Multiobjective calibration with Pareto preference ordering: An application to rainfall‐runoff model calibration , 2005 .
[64] Luis A. Bastidas,et al. Constraining a physically based Soil‐Vegetation‐Atmosphere Transfer model with surface water content and thermal infrared brightness temperature measurements using a multiobjective approach , 2005 .
[65] Per Jönsson,et al. TIMESAT - a program for analyzing time-series of satellite sensor data , 2004, Comput. Geosci..
[66] S. Sorooshian,et al. Effective and efficient algorithm for multiobjective optimization of hydrologic models , 2003 .
[67] Henrik Madsen,et al. Parameter estimation in distributed hydrological catchment modelling using automatic calibration with multiple objectives , 2003 .
[68] Günter Blöschl,et al. Advances in the use of observed spatial patterns of catchment hydrological response , 2002 .
[69] Keith Beven,et al. Towards an alternative blueprint for a physically based digitally simulated hydrologic response modelling system , 2002 .
[70] Nikolaus Hansen,et al. Completely Derandomized Self-Adaptation in Evolution Strategies , 2001, Evolutionary Computation.
[71] S. Liang. Narrowband to broadband conversions of land surface albedo I Algorithms , 2001 .
[72] Henrik Madsen,et al. Automatic calibration of a conceptual rainfall-runoff model using multiple objectives. , 2000 .
[73] P. Allerup,et al. A Comprehensive Model for Correcting Point Precipitation , 1997 .
[74] P. E. O'connell,et al. An introduction to the European Hydrological System — Systeme Hydrologique Europeen, “SHE”, 2: Structure of a physically-based, distributed modelling system , 1986 .
[75] Van Genuchten,et al. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils , 1980 .
[76] K. Kristensen,et al. A MODEL FOR ESTIMATING ACTUAL EVAPOTRANSPIRATION FROM POTENTIAL EVAPOTRANSPIRATION , 1975 .
[77] R. Freeze,et al. Blueprint for a physically-based, digitally-simulated hydrologic response model , 1969 .
[78] S. Stisen,et al. Investigating the importance of groundwater for near surface flux and state simulation through a multi-constraint analysis of a complex surface-subsurface-atmosphere model , 2013 .
[79] Rodger B. Grayson,et al. Quantitative comparison of spatial fields for hydrological model assessment––some promising approaches , 2005 .