Guidance on large scale hydrologic model calibration with isotope tracers

[1]  M. Asadzadeh,et al.  Variability in flow and tracer-based performance metric sensitivities reveal regional differences in dominant hydrological processes across the Athabasca River basin , 2022, Journal of Hydrology: Regional Studies.

[2]  S. Stisen,et al.  Hydrological process knowledge in catchment modelling – Lessons and perspectives from 60 years development , 2021, Hydrological Processes.

[3]  Lieke A. Melsen,et al.  Advancing Process Representation in Hydrological Models: Integrating New Concepts, Knowledge, and Data , 2021, Water Resources Research.

[4]  T. Stadnyk,et al.  Isotopic constraints on water balance and evapotranspiration partitioning in gauged watersheds across Canada , 2021 .

[5]  F. Tian,et al.  The value of water isotope data on improving process understanding in a glacierized catchment on the Tibetan Plateau , 2021, Hydrology and Earth System Sciences.

[6]  C. Birkel,et al.  Effects of streamflow isotope sampling strategies on the calibration of a tracer‐aided rainfall‐runoff model , 2021, Hydrological Processes.

[7]  A. Pietroniro,et al.  18O and 2H in streamflow across Canada , 2020 .

[8]  H. Laudon,et al.  Contrasting storage-flux-age interactions revealed by catchment inter-comparison using a tracer-aided runoff model , 2020 .

[9]  M. Asadzadeh,et al.  Regional Calibration With Isotope Tracers Using a Spatially Distributed Model: A Comparison of Methods , 2020, Water Resources Research.

[10]  G. Blöschl,et al.  Why does a conceptual hydrological model fail to correctly predict discharge changes in response to climate change? , 2020 .

[11]  T. Holmes,et al.  On the value of isotope-enabled hydrological model calibration , 2020 .

[12]  J. Seibert,et al.  Hydrological model calibration with uncertain discharge data , 2020, Hydrological Sciences Journal.

[13]  Nicola Fohrer,et al.  Assessing parameter identifiability for multiple performance criteria to constrain model parameters , 2020 .

[14]  S. J. Birks,et al.  Isotopic tracing of hydrologic drivers including permafrost thaw status for lakes across Northeastern Alberta, Canada: A 16-year, 50-lake assessment , 2019 .

[15]  Daniel N. Moriasi,et al.  Beyond model metrics: The perils of calibrating hydrologic models , 2019, Journal of Hydrology.

[16]  Martyn P. Clark,et al.  On the choice of calibration metrics for “high-flow” estimation using hydrologic models , 2019, Hydrology and Earth System Sciences.

[17]  B. Merz,et al.  Constraining hydrological model parameters using water isotopic compositions in a glacierized basin, Central Asia , 2019, Journal of Hydrology.

[18]  D. Tetzlaff,et al.  To what extent does hydrological connectivity control dynamics of faecal indicator organisms in streams? Initial hypothesis testing using a tracer-aided model , 2019, Journal of Hydrology.

[19]  Saman Razavi,et al.  VARS-TOOL: A toolbox for comprehensive, efficient, and robust sensitivity and uncertainty analysis , 2019, Environ. Model. Softw..

[20]  Trond Reitan,et al.  A Comparison of Methods for Streamflow Uncertainty Estimation , 2018, Water Resources Research.

[21]  B. Neff,et al.  Estimating Wetland Connectivity to Streams in the Prairie Pothole Region: An Isotopic and Remote Sensing Approach , 2018, Water resources research.

[22]  O. Pokrovsky,et al.  Using stable isotopes to assess surface water source dynamics and hydrological connectivity in a high-latitude wetland and permafrost influenced landscape , 2018 .

[23]  C. Birkel,et al.  Using high‐resolution isotope data and alternative calibration strategies for a tracer‐aided runoff model in a nested catchment , 2017 .

[24]  H. Laudon,et al.  Using isotopes to constrain water flux and age estimates in snow-influenced catchments using the STARR (Spatially distributed Tracer-Aided Rainfall–Runoff) model , 2017 .

[25]  Luis Samaniego,et al.  The evolution of process-based hydrologic models: Historical challenges and the collective quest for physical realism. , 2017, Hydrology and earth system sciences.

[26]  T. Holmes,et al.  Examining the impacts of precipitation isotope input ( δ 18 O ppt ) on distributed, tracer-aided hydrological modelling , 2017 .

[27]  P. D’Odorico,et al.  Environmental consequences of oil production from oil sands , 2017 .

[28]  David G. Tarboton,et al.  An overview of current applications, challenges, and future trends in distributed process-based models in hydrology , 2016 .

[29]  S. J. Birks,et al.  Isotope-based partitioning of streamflow in the oil sands region, northern Alberta: Towards a monitoring strategy for assessing flow sources and water quality controls , 2016 .

[30]  W. Dietrich,et al.  Dynamic, structured heterogeneity of water isotopes inside hillslopes , 2016 .

[31]  H. Gupta,et al.  A new framework for comprehensive, robust, and efficient global sensitivity analysis: 1. Theory , 2016 .

[32]  S. J. Birks,et al.  Stable isotope mass balance of lakes: a contemporary perspective , 2016 .

[33]  H. Laudon,et al.  Connecting precipitation inputs and soil flow pathways to stream water in contrasting boreal catchments , 2015 .

[34]  Bryan A. Tolson,et al.  Optimizing hydrological consistency by incorporating hydrological signatures into model calibration objectives , 2015 .

[35]  Ming Ye,et al.  Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications , 2015 .

[36]  S. J. Birks,et al.  North American precipitation isotope (δ18O) zones revealed in time series modeling across Canada and northern United States , 2014 .

[37]  Bryan A. Tolson,et al.  A new selection metric for multiobjective hydrologic model calibration , 2014 .

[38]  Hua Yuan,et al.  A global soil data set for earth system modeling , 2014 .

[39]  Nicholas Kouwen,et al.  Towards hydrological model calibration and validation: simulation of stable water isotopes using the isoWATFLOOD model , 2013 .

[40]  Bryan A. Tolson,et al.  Pareto archived dynamically dimensioned search with hypervolume-based selection for multi-objective optimization , 2013 .

[41]  G. Blöschl,et al.  Comparative assessment of predictions in ungauged basins – Part 3: Runoff signatures in Austria , 2013 .

[42]  P. Coulibaly,et al.  Evaluation of Canadian National Hydrometric Network density based on WMO 2008 standards , 2013 .

[43]  Joseph H. A. Guillaume,et al.  Characterising performance of environmental models , 2013, Environ. Model. Softw..

[44]  J. Spangenberg Caution on the storage of waters and aqueous solutions in plastic containers for hydrogen and oxygen stable isotope analysis. , 2012, Rapid communications in mass spectrometry : RCM.

[45]  N. McIntyre,et al.  Catchment scale hydrological modelling: a review of model types, calibration approaches and uncertainty analysis methods in the context of recent developments in technology and applications , 2011 .

[46]  P. Mote,et al.  Surface temperature lapse rates over complex terrain: Lessons from the Cascade Mountains , 2010 .

[47]  Demetris Koutsoyiannis,et al.  One decade of multi-objective calibration approaches in hydrological modelling: a review , 2010 .

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

[49]  Lihua Xiong,et al.  Indices for assessing the prediction bounds of hydrological models and application by generalised likelihood uncertainty estimation / Indices pour évaluer les bornes de prévision de modèles hydrologiques et mise en œuvre pour une estimation d'incertitude par vraisemblance généralisée , 2009 .

[50]  Bryan A. Tolson,et al.  Dynamically dimensioned search algorithm for computationally efficient watershed model calibration , 2007 .

[51]  J. Kirchner Getting the right answers for the right reasons: Linking measurements, analyses, and models to advance the science of hydrology , 2006 .

[52]  D. Vitt,et al.  The changing landscape of Canada's western boreal forest: the current dynamics of permafrost. , 2000 .

[53]  Keith Beven,et al.  The future of distributed models: model calibration and uncertainty prediction. , 1992 .

[54]  J. Nash,et al.  River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .