Dmitri Kavetski

发表

A limited‐memory acceleration strategy for MCMC sampling in hierarchical Bayesian calibration of hydrological models

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2010 .

How simple can a distributed hydrological model be

Dmitri Kavetski, Fabrizio Fenicia, Hubert H. G. Savenije, 2015 .

Revisiting the calibration of conceptual hydrological models using newton-type optimization algorithms

George Kuczera, Dmitri Kavetski, Youwei Qin, 2015 .

Evaluating different approaches for using the box-cox transformation to model heteroscedasticity in residual errors of hydrological models

George Kuczera, Dmitri Kavetski, Mark Thyer, 2014 .

Battling Hydrological Monsters: Insights into Numerical Approximations, Data Uncertainty and Structural Errors

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2011 .

Impact of temporal data resolution on parameter inference and model identification in conceptual hydrological modeling: Insights from an experimental catchment

Dmitri Kavetski, Martyn P. Clark, Fabrizio Fenicia, 2010 .

A visual interface for the SUPERFLEX hydrological modelling framework

Dmitri Kavetski, Fabrizio Fenicia, Hongkai Gao, 2012 .

Impact of runoff measurement error models on the quantification of predictive uncertainty in rainfall-runoff models

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2009 .

There are no hydrological monsters, just models and observations with large uncertainties!

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2010 .

A unified approach for process‐based hydrologic modeling: 2. Model implementation and case studies

Dmitri Kavetski, Bart Nijssen, Martyn P. Clark, 2015 .

A simplified approach to produce probabilistic hydrological model predictions

George Kuczera, Dmitri Kavetski, David McInerney, 2018, Environ. Model. Softw..

Semidistributed hydrological modeling: A “saturation path” perspective on TOPMODEL and VIC

George Kuczera, Dmitri Kavetski, Stewart W. Franks, 2003 .

Bayesian Analysis Diagnostics: Diagnosing Predictive and Parameter Uncertainty for Hydrological Models

George Kuczera, Dmitri Kavetski, Mark Thyer, 2015 .

Numerical troubles in conceptual hydrology: Approximations, absurdities and impact on hypothesis testing

Dmitri Kavetski, Martyn P. Clark, M. Clark, 2011 .

Multi‐temporal Hydrological Residual Error Modeling for Seamless Subseasonal Streamflow Forecasting

George Kuczera, Dmitri Kavetski, Mark Thyer, 2020, Water Resources Research.

Multistart Newton-type optimisation methods for the calibration of conceptual hydrological models

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2007 .

Catchment properties, function, and conceptual model representation: is there a correspondence?

Dmitri Kavetski, Hubert H. G. Savenije, Martyn P. Clark, 2014 .

Benefits of Explicit Treatment of Zero Flows in Probabilistic Hydrological Modeling of Ephemeral Catchments

George Kuczera, Dmitri Kavetski, Mark Thyer, 2019, Water Resources Research.

Hydrological field data from a modeller's perspective: Part 2: process‐based evaluation of model hypotheses

Dmitri Kavetski, Hilary McMillan, Martyn P. Clark, 2011 .

Adaptive time stepping and error control in a mass conservative numerical solution of the mixed form of Richards equation | NOVA. The University of Newcastle's Digital Repository

Dmitri Kavetski, Scott W. Sloan, Philip John Binning, 2001 .

Bayesian total error analysis for hydrologic models: Markov chain Monte Carlo methods to evaluate the posterior distribution

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2007 .

Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2010 .

Signature‐Domain Calibration of Hydrological Models Using Approximate Bayesian Computation: Theory and Comparison to Existing Applications

Dmitri Kavetski, Fabrizio Fenicia, Peter Reichert, 2018, Water Resources Research.

Calibration of conceptual hydrological models revisited: 1. Overcoming numerical artefacts

George Kuczera, Dmitri Kavetski, Stewart W. Franks, 2006 .

A Robust Gauss‐Newton Algorithm for the Optimization of Hydrological Models: Benchmarking Against Industry‐Standard Algorithms

George Kuczera, Dmitri Kavetski, Youwei Qin, 2018, Water Resources Research.

The Fast and the Robust: Trade‐Offs Between Optimization Robustness and Cost in the Calibration of Environmental Models

George Kuczera, Dmitri Kavetski, Youwei Qin, 2018, Water Resources Research.

A Robust Gauss‐Newton Algorithm for the Optimization of Hydrological Models: From Standard Gauss‐Newton to Robust Gauss‐Newton

George Kuczera, Dmitri Kavetski, Youwei Qin, 2018, Water Resources Research.

Signature‐Domain Calibration of Hydrological Models Using Approximate Bayesian Computation: Empirical Analysis of Fundamental Properties

Dmitri Kavetski, Fabrizio Fenicia, Peter Reichert, 2018, Water Resources Research.

Probabilistic Flood Mapping Using Synthetic Aperture Radar Data

Dmitri Kavetski, Marco Chini, Patrick Matgen, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Resolving the Individual Contributors to Total Modeling Error in Conceptual Hydrology: Data, Structural and Numerical Errors

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2010 .

Improving Hydrological Model Predictions by Incorporating Rating Curve Uncertainty

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2011 .

Development of a hybrid process and system model for the assessment of wellbore leakage at a geologic CO2 sequestration site.

Dmitri Kavetski, J William Carey, Hari S Viswanathan, 2008, Environmental science & technology.

Evaluating and improving the representation of heteroscedastic errors in hydrological models

George Kuczera, Dmitri Kavetski, David McInerney, 2013 .

Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2009 .

An Overview of Data and Model Error Analysis in Rainfall-runoff Modelling

George Kuczera, Dmitri Kavetski, Stewart W. Franks, 2003 .

Pitfalls and improvements in the joint inference of heteroscedasticity and autocorrelation in hydrological model calibration

George Kuczera, Dmitri Kavetski, Mark Thyer, 2013 .

Bayesian Total Error Analysis for Hydrologic Models: Quantifying Uncertainties Arising from Input, Output and Structural Errors

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2008 .

The open source RFortran library for accessing R from Fortran, with applications in environmental modelling

Dmitri Kavetski, Benjamin Renard, Michael Leonard, 2011, Environ. Model. Softw..

A Hypothesis-based Approach to Hydrological Model Development: The Case for Flexible Model Structures

Dmitri Kavetski, Fabrizio Fenicia, Martin Clark, 2010 .

Pursuing the method of multiple working hypotheses for hydrological modeling

Dmitri Kavetski, Martyn P. Clark, Fabrizio Fenicia, 2011 .

Investigating the Impact of Predictive Uncertainty in Rainfall-Runoff Modelling on Storage Reliability Estimates Using Bayesian Total Error Analysis

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2008 .

Knowledge, transparency, refutability, and consequences: Using models to evaluate geologic repositories

Mary C. Hill, Dmitri Kavetski, Mazdak Arabi, 2012 .

Toward a reliable decomposition of predictive uncertainty in hydrological modeling: Characterizing rainfall errors using conditional simulation

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2011 .

Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory

George Kuczera, Dmitri Kavetski, Stewart W. Franks, 2006 .

Towards a recursive bayesian total error analysis framework

George Kuczera, Dmitri Kavetski, Amanda K Newman, 2012 .

SuperflexPy: a new open source framework for building conceptual hydrological models

Dmitri Kavetski, Fabrizio Fenicia, Marco Dal Molin, 2020 .

Calibration of conceptual hydrological models revisited: 2. Improving optimisation and analysis

George Kuczera, Dmitri Kavetski, Stewart W. Franks, 2006 .

Confronting input uncertainty in environmental modelling | NOVA. The University of Newcastle's Digital Repository

George Kuczera, Dmitri Kavetski, Stewart W. Franks, 2003 .

Identifiability of Input and Structural Errors in Hydrologic Modelling

George Kuczera, Dmitri Kavetski, Stewart W. Franks, 2009 .

Pitfalls and improvements in hydrological calibration and predictive uncertainty analysis: Joint handling of heteroscedasticity and autocorrelation

George Kuczera, Dmitri Kavetski, Mark Thyer, 2013 .

Bayesian analysis of input uncertainty in hydrological modeling: 2. Application

George Kuczera, Dmitri Kavetski, Stewart W. Franks, 2006 .

Parameter Estimation and Predictive Uncertainty Quantification in Hydrological Modelling

Dmitri Kavetski, D. Kavetski, 2019, Handbook of Hydrometeorological Ensemble Forecasting.

Bayesian total error analysis for hydrologic models: sensitivity to error models

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2007 .

Elements of a flexible approach for conceptual hydrological modeling: 1. Motivation and theoretical development

Dmitri Kavetski, Hubert H. G. Savenije, Fabrizio Fenicia, 2011 .

Application of particle filtering methods to a conceptual rainfallrunoff model

George Kuczera, Dmitri Kavetski, Amanda K Newman, 2015 .

Characterizing model error in conceptual rainfall-runoff models using storm-dependent parameters

George Kuczera, Dmitri Kavetski, Mark Thyer, 2005 .

A New Approach to Model Calibration: Bayesian Analysis of Total Errors

George Kuczera, Dmitri Kavetski, Stewart W. Franks, 2002 .

Placing stochastic simulation in a system-based context that promotes transparency and refutability

Mary C. Hill, Steffen Mehl, Dmitri Kavetski, 2012 .

Bayesian Total Error Analysis - An Error Sensitive Approach to Model Calibration

George Kuczera, Dmitri Kavetski, Stewart W. Franks, 2002 .

Ancient numerical daemons of conceptual hydrological modeling: 1. Fidelity and efficiency of time stepping schemes

Dmitri Kavetski, Martyn P. Clark, M. Clark, 2010 .

Comment on “An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction” by Newsha K. Ajami et al.

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2009 .

Battling hydrological monsters: Distinguishing between data uncertainty, structural errors and numerical artifacts in rainfall-runoff modelling

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2010 .

Comparison of Newton-type and SCE optimisation algorithms for the calibration of conceptual hydrological models

George Kuczera, Dmitri Kavetski, Youwei Qin, 2016 .

Improving representation of zero flows in probabilistic hydrological modelling of ephemeral catchments

George Kuczera, Dmitri Kavetski, Mark Thyer, 2021 .

Identification of dominant hydrological mechanisms using Bayesian inference, multiple statistical hypothesis testing and flexible models

Dmitri Kavetski, Raúl Medina, Cristina Prieto, 2021 .

Achieving high-quality probabilistic predictions from hydrological models calibrated with a wide range of objective functions

Dmitri Kavetski, Mark Thyer, David McInerney, 2021, Journal of Hydrology.

Behind every robust result is a robust method: Perspectives from a case study and publication process in hydrological modelling

Dmitri Kavetski, Fabrizio Fenicia, D. Kavetski, 2021, Hydrological Processes.

Identification of Dominant Hydrological Mechanisms Using Bayesian Inference, Multiple Statistical Hypothesis Testing, and Flexible Models

Dmitri Kavetski, Raúl Medina, Cristina Prieto, 2021, Water Resources Research.

An open-source R-package and web application for high-quality probabilistic predictions in hydrology

Dmitri Kavetski, Mark Thyer, David McInerney, 2021 .

Microwave links for rainfall estimation in an urban environment: Insights from an experimental setup in Luxembourg-City

Dmitri Kavetski, Patrick Matgen, Fabrizio Fenicia, 2012 .

Elements of a flexible approach for conceptual hydrological modeling: 2. Application and experimental insights

Dmitri Kavetski, Fabrizio Fenicia, D. Kavetski, 2011 .

The Importance of Spatiotemporal Variability in Irrigation Inputs for Hydrological Modeling of Irrigated Catchments

George Kuczera, Dmitri Kavetski, Mark Thyer, 2018, Water Resources Research.

The influence of conceptual model structure on model performance: a comparative study for 237 French catchments

Dmitri Kavetski, Fabrizio Fenicia, Charles Perrin, 2013 .

A unified approach for process‐based hydrologic modeling: 1. Modeling concept

Dmitri Kavetski, Bart Nijssen, Ross A. Woods, 2015 .

From spatially variable streamflow to distributed hydrological models: Analysis of key modeling decisions

Dmitri Kavetski, Hubert H. G. Savenije, Fabrizio Fenicia, 2016 .

Noniterative time stepping schemes with adaptive truncation error control for the solution of Richards equation

Dmitri Kavetski, Philip John Binning, Scott W. Sloan, 2002 .

On the role of soil moisture in daytime evolution of temperatures

Dmitri Kavetski, Stewart W. Franks, D. Kavetski, 2013 .

Combining snow, streamflow, and precipitation gauge observations to infer basin‐mean precipitation

Thomas H. Painter, Dmitri Kavetski, Martyn P. Clark, 2016 .

Model smoothing strategies to remove microscale discontinuities and spurious secondary optima in objective functions in hydrological calibration

George Kuczera, Dmitri Kavetski, D. Kavetski, 2007 .

Representing spatial variability of snow water equivalent in hydrologic and land‐surface models: A review

Dmitri Kavetski, Martyn P. Clark, Ross Woods, 2011 .

A strategy for diagnosing and interpreting hydrological model nonstationarity

Martin F. Lambert, Dmitri Kavetski, Mark Thyer, 2014 .

Flow Prediction in Ungauged Catchments Using Probabilistic Random Forests Regionalization and New Statistical Adequacy Tests

Dmitri Kavetski, Raúl Medina, Cristina Prieto, 2019, Water Resources Research.

Truncation error and stability analysis of iterative and non-iterative Thomas-Gladwell methods for first-order non-linear differential equations

Dmitri Kavetski, Philip John Binning, Scott W. Sloan, 2004 .

Bayesian total error analysis for hydrological models: preliminary evaluation using multi-site catchment rainfall data

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2007 .

Challenges of operational river forecasting

Soroosh Sorooshian, Thibault Mathevet, Dmitri Kavetski, 2014 .

Assessing the impact of mixing assumptions on the estimation of streamwater mean residence time

Dmitri Kavetski, Hubert H. G. Savenije, Fabrizio Fenicia, 2010 .

A new stochastic model for simulating daily solar radiation from sunshine hours

Dmitri Kavetski, Stewart W. Franks, D. Kavetski, 2015 .

Improving probabilistic prediction of daily streamflow by identifying Pareto optimal approaches for modeling heteroscedastic residual errors

George Kuczera, Dmitri Kavetski, Mark Thyer, 2017 .

Reply to comment by K. Beven et al. on “Pursuing the method of multiple working hypotheses for hydrological modeling”

Dmitri Kavetski, Martyn P. Clark, Fabrizio Fenicia, 2012 .

Towards more systematic perceptual model development: a case study using 3 Luxembourgish catchments

Dmitri Kavetski, Hubert H. G. Savenije, Fabrizio Fenicia, 2015 .

Comparison of joint versus postprocessor approaches for hydrological uncertainty estimation accounting for error autocorrelation and heteroscedasticity

George Kuczera, Dmitri Kavetski, Mark Thyer, 2014 .

Estimating mountain basin‐mean precipitation from streamflow using Bayesian inference

Dmitri Kavetski, Martyn P. Clark, Jessica D. Lundquist, 2015 .

Characterizing Errors in Areal Rainfall Estimates: Application to Uncertainty Quantification and Decomposition in Hydrologic Modelling

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2009 .

Practical Use of Computationally Frugal Model Analysis Methods

Dmitri Kavetski, Ming Ye, Mazdak Arabi, 2016, Ground water.

State updating and calibration period selection to improve dynamic monthly streamflow forecasts for an environmental flow management application

Dmitri Kavetski, Holger R. Maier, Graeme C. Dandy, 2018 .

The structure for unifying multiple modeling alternatives (SUMMA), Version 1.0: Technical Description

Dmitri Kavetski, David G. Tarboton, Martyn P. Clark, 2015 .

Evaluating post-processing approaches for monthly and seasonal streamflow forecasts

George Kuczera, Dmitri Kavetski, Mark Thyer, 2018, Hydrology and Earth System Sciences.

Near‐Real‐Time Assimilation of SAR‐Derived Flood Maps for Improving Flood Forecasts

Dmitri Kavetski, Marco Chini, Patrick Matgen, 2018, Water Resources Research.

Rainfall uncertainty in hydrological modelling: An evaluation of multiplicative error models

Dmitri Kavetski, Martyn P. Clark, Bethanna Jackson, 2011 .

Bayesian spectral likelihood for hydrological parameter inference

Dmitri Kavetski, Bettina Schaefli, D. Kavetski, 2017 .

A Bayesian analysis of sensible heat flux estimation: Quantifying uncertainty in meteorological forcing to improve model prediction

Gregoire Mariethoz, Dmitri Kavetski, Matthew F. McCabe, 2013 .

Model for CO2 leakage including multiple geological layers and multiple leaky wells.

Dmitri Kavetski, Stefan Bachu, Jan M Nordbotten, 2009, Environmental science & technology.