D. Kavetski

发表

Adaptive backward Euler time stepping with truncation error control for numerical modelling of unsaturated fluid flow

S. Sloan, D. Kavetski, P. Binning, 2002 .

Confronting Input Uncertainty in Environmental Modelling

D. Kavetski, S. Franks, G. Kuczera, 2013 .

Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters

D. Kavetski, S. Franks, G. Kuczera, 2006 .

Ancient numerical daemons of conceptual hydrological modeling: 2. Impact of time stepping schemes on model analysis and prediction

M. Clark, D. Kavetski, 2010 .

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

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

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

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

A robust approach for calibrating a daily rainfall-runoff model to monthly streamflow data

D. Kavetski, C. Pickett-Heaps, F. Woldemeskel, 2020 .

A flexible multi-model framework for catchment-specific calibration, and application to diverse European catchments

D. Kavetski, H. Savenije, F. Fenicia, 2010 .

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

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

Estimating mountain basin‐mean precipitation from streamflow using Bayesian inference

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

On the role of soil moisture in daytime evolution of temperatures

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

Hydro-climatological variability in the Murray-Darling Basin

D. Kavetski, S. Franks, N. Lockart, 2011 .

Challenges of operational river forecasting

Soroosh Sorooshian, Thibault Mathevet, Dmitri Kavetski, 2014 .

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

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

Modeling Critical Leakage Pathways in a Risk Assessment Framework: Representation of Abandoned Wells

M. Celia, S. Bachu, J. Nordbotten, 2005 .

Practical Use of Computationally Frugal Model Analysis Methods

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

Effects of Spatial Heterogeneity in Rainfall and Vegetation Type on Soil Moisture and Evapotranspiration

I. Rodríguez‐Iturbe, M. Celia, J. Nordbotten, 2016, 1606.05256.

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 .

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 .

State Updating and Calibration Period Selection to Improve Dynamic Monthly Streamflow Forecasts for a Wetland Management Application

D. Kavetski, H. Maier, M. Thyer, 2017 .

Experimental evaluation of the dynamic seasonal streamflow forecasting approach

Q. Shao, D. Kavetski, G. Kuczera, 2011 .

Knowledge, transparency, and refutability in groundwater models, an example from the Death Valley regional groundwater flow system

C. Tiedeman, D. Kavetski, M. Hill, 2013 .

Evaluating residual error approaches for post-processing monthly and seasonal streamflow forecasts

D. Kavetski, G. Kuczera, F. Woldemeskel, 2018 .

Reply to the comment of Cai et al. on the paper “On the recent warming in the Murray‐Darling Basin: Land surface interactions misunderstood” by Lockart et al.

D. Kavetski, S. Franks, N. Lockart, 2010 .

Predicting wildfire induced changes to runoff: A review and synthesis of modeling approaches

B. Croke, A. Jakeman, D. Kavetski, 2022, WIREs Water.

Impacts of climate change on surface water in the Onkaparinga catchment - Final report volume 1: hydrological model development and sources of uncertainty

D. Kavetski, M. Lambert, M. Thyer, 2014 .

Software availability 31 Product title : Interactive Probabilistic Predictions 32 Description : Web application for implementing Stage 2 of the LS-MoM approach introduced in this 33 study 34 Developer :

D. Kavetski, G. Kuczera, M. Thyer, 2021 .

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

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

Uncertainty Quantification for Environmental Models

M. C. Hill, M. Clark, D. Kavetski, 2012 .

Can Gauss‐Newton Algorithms Outperform Stochastic Optimization Algorithms When Calibrating a Highly Parameterized Hydrological Model? A Case Study Using SWAT

D. Kavetski, G. Kuczera, T. Yang, 2022, 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.

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.

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 .

Pursuing the method of multiple working hypotheses for hydrological modeling

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

SuperflexPy 1.3.0: an open-source Python framework for building, testing, and improving conceptual hydrological models

D. Kavetski, M. dal Molin, F. Fenicia, 2021, Geoscientific Model Development.

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 .

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 .

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

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

A Hidden Climate Indices Modeling Framework for Multivariable Space‐Time Data

D. Kavetski, M. Thyer, S. Westra, 2021, Water Resources Research.

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

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

Spatiotemporal patterns of precipitation inferred from streamflow observations across the Sierra Nevada mountain range

J. Lundquist, M. Clark, D. Kavetski, 2018 .

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

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

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

George Kuczera, Dmitri Kavetski, Mark Thyer, 2014 .

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

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2011 .

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

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

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

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2010 .

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

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

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

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

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.

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

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

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

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

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

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

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 .

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

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 .

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

Dmitri Kavetski, Marco Chini, Patrick Matgen, 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.

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

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

Floods and Heavy Precipitation at the Global Scale: 100‐Year Analysis and 180‐Year Reconstruction

D. Kavetski, M. Thyer, S. Westra, 2023, Journal of Geophysical Research: Atmospheres.

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

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

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

George Kuczera, Dmitri Kavetski, Mark Thyer, 2017 .

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

George Kuczera, Dmitri Kavetski, Mark Thyer, 2013 .

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

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

Evaluating post-processing approaches for monthly and seasonal streamflow forecasts

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

Bayesian spectral likelihood for hydrological parameter inference

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

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

Dmitri Kavetski, Patrick Matgen, Fabrizio Fenicia, 2012 .

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 .

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

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

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

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

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

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2010 .

A strategy for diagnosing and interpreting hydrological model nonstationarity

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

On the recent warming in the Murray‐Darling Basin: Land surface interactions misunderstood

D. Kavetski, S. Franks, Natalie Lockart, 2009 .

Parameter Estimation and Predictive Uncertainty Quantification in Hydrological Modelling

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

An Exploration of Bayesian Identification of Dominant Hydrological Mechanisms in Ungauged Catchments

A. Scheidegger, D. Kavetski, F. Fenicia, 2022, Water Resources Research.

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.

SuperflexPy 1.2.0: an open source Python framework for building, testing and improving conceptual hydrological models

D. Kavetski, M. dal Molin, F. Fenicia, 2020 .

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.

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

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

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

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

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

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

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

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

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

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2010 .

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.

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

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

Scrutinizing parameter consistency and predictive uncertainty in rainfall-runoff models using Bayesian total error analysis

D. Kavetski, S. Franks, G. Kuczera, 2008 .

Exploring Signature‐Based Model Calibration for Streamflow Prediction in Ungauged Basins

D. Kavetski, F. Fenicia, M. Molin, 2023, 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.

Seamless streamflow model provides forecasts at all scales from daily to monthly and matches the performance of non-seamless monthly model

D. Kavetski, G. Kuczera, F. Woldemeskel, 2022 .

Flexible forecast value metric suitable for a wide range of decisions: application using probabilistic subseasonal streamflow forecasts

D. Kavetski, M. Thyer, R. Laugesen, 2023, Hydrology and Earth System Sciences.

A simplified approach to produce probabilistic hydrological model predictions

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

1 Input Uncertainty in Hydrological Models : An Evaluation of Error Models for 1 Rainfall 2

M. Clark, R. Woods, H. McMillan, 2022 .

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 .

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

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2007 .

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

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

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.

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

Dmitri Kavetski, Fabrizio Fenicia, Charles Perrin, 2013 .

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

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

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

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

The legacy of STAHY: Milestones, achievements, challenges, and open problems in statistical hydrology

C. R. Rajulapati, T. Ouarda, D. Kavetski, 2024, Hydrological Sciences Journal.

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

George Kuczera, Dmitri Kavetski, Benjamin Renard, 2008 .

Virtual Hydrological Laboratories: Developing the Next Generation of Conceptual Models to Support Decision Making Under Change

B. Croke, A. Jakeman, H. Gupta, 2023, MODSIM2023, 25th International Congress on Modelling and Simulation..

Seamless streamflow forecasting at daily to monthly scales: MuTHRE lets you have your cake and eat it too

D. Kavetski, G. Kuczera, F. Woldemeskel, 2022, Hydrology and Earth System Sciences.

Dynamic streamflow forecasts within an uncertainty framework for 100 catchments in Australia

D. Kavetski, G. Kuczera, M. Thyer, 2015 .