Search Results - "LERAT, Julien"

Has land cover a significant impact on mean annual streamflow? An international assessment using 1508 catchments by Oudin, Ludovic, Andréassian, Vazken, Lerat, Julien, Michel, Claude

“…This paper investigates the link between vegetation types and long-term water balance in catchment areas. We focus on the most widely used water balance…”
Get full text

Improving probabilistic prediction of daily streamflow by identifying Pareto optimal approaches for modeling heteroscedastic residual errors by McInerney, David, Thyer, Mark, Kavetski, Dmitri, Lerat, Julien, Kuczera, George

“…Reliable and precise probabilistic prediction of daily catchment‐scale streamflow requires statistical characterization of residual errors of hydrological…”
Get full text

Benefits of Explicit Treatment of Zero Flows in Probabilistic Hydrological Modeling of Ephemeral Catchments by McInerney, David, Kavetski, Dmitri, Thyer, Mark, Lerat, Julien, Kuczera, George

“…Probabilistic modeling of streamflow in ephemeral catchments, where streamflow is frequently zero or negligible, is a major scientific and operational…”
Get full text

Data Assimilation Informed Model Structure Improvement (DAISI) for Robust Prediction Under Climate Change: Application to 201 Catchments in Southeastern Australia by Lerat, Julien, Chiew, Francis, Robertson, David, Andréassian, Vazken, Zheng, Hongxing

“…This paper presents a method to analyze and improve the set of equations constituting a rainfall‐runoff model structure based on a combination of a data…”
Get full text

Streamflow naturalization methods: a review by Terrier, Morgane, Perrin, Charles, de Lavenne, Alban, Andréassian, Vazken, Lerat, Julien, Vaze, Jai

“…Over the past few decades, several naturalization methods have been developed for removing anthropogenic influences from streamflow time series, to the point…”
Get full text

A simplified approach to produce probabilistic hydrological model predictions by McInerney, David, Thyer, Mark, Kavetski, Dmitri, Bennett, Bree, Lerat, Julien, Gibbs, Matthew, Kuczera, George

“…Probabilistic predictions from hydrological models, including rainfall-runoff models, provide valuable information for water and environmental resource risk…”
Get full text

Assessing the contribution of hydrologic and climatic factors on vegetation condition changes in semi-arid wetlands: An analysis for the Narran Lakes by Liu, Moyang, Hamilton, Serena H., Jakeman, Anthony J., Lerat, Julien, Savage, Callum, Croke, Barry F.W.

Get full text

Spatio‐Temporal Model Variance‐Covariance Approach to Assimilating Streamflow Observations Into a Distributed Landscape Water Balance Model by Tian, Siyuan, Renzullo, Luigi J., Lerat, Julien, Pipunic, Robert C.

“…Accurate initial conditions play a critical role in improving predictive accuracy of hydrological models for quantities such as streamflow generation…”
Get full text

A robust approach for calibrating a daily rainfall-runoff model to monthly streamflow data by Lerat, Julien, Thyer, Mark, McInerney, David, Kavetski, Dmitri, Woldemeskel, Fitsum, Pickett-Heaps, Christopher, Shin, Daeyhok, Feikema, Paul

“…•Daily rainfall-runoff models can calibrate successfully to monthly streamflow data.•Monthly and daily calibration perform similarly except for daily pattern…”
Get full text

Improving the statistical reliability of river model predictions via simple state adjustments by Kim, Shaun SH, Marshall, Lucy A., Hughes, Justin D., Seo, Lynn, Lerat, Julien, Sharma, Ashish, Vaze, Jai

Get full text

Assessing the impacts of climate change and dams on floodplain inundation and wetland connectivity in the wet–dry tropics of northern Australia by Karim, Fazlul, Dutta, Dushmanta, Marvanek, Steve, Petheram, Cuan, Ticehurst, Catherine, Lerat, Julien, Kim, Shaun, Yang, Ang

“…•We built an integrated modelling framework to estimate floodplain inundation.•Hydrodynamic modelling was successfully used to quantify wetland…”
Get full text

Crash testing hydrological models in contrasted climate conditions: An experiment on 216 Australian catchments by Coron, L., Andréassian, V., Perrin, C., Lerat, J., Vaze, J., Bourqui, M., Hendrickx, F.

“…This paper investigates the actual extrapolation capacity of three hydrological models in differing climate conditions. We propose a general testing framework,…”
Get full text

Deep learning for monthly rainfall–runoff modelling: a large-sample comparison with conceptual models across Australia by Clark, Stephanie R, Lerat, Julien, Perraud, Jean-Michel, Fitch, Peter

“…A deep learning model designed for time series predictions, the long short-term memory (LSTM) architecture, is regularly producing reliable results in local…”
Get full text

An error model for long-range ensemble forecasts of ephemeral rivers by Bennett, James C., Wang, Q.J., Robertson, David E., Bridgart, Robert, Lerat, Julien, Li, Ming, Michael, Kelvin

“…•No long-range forecasting methods exist to produce reliable ensembles in highly ephemeral streams.•This is a new approach to handling zero values in both…”
Get full text

Development and application of a large scale river system model for National Water Accounting in Australia by Dutta, Dushmanta, Vaze, Jai, Kim, Shaun, Hughes, Justin, Yang, Ang, Teng, Jin, Lerat, Julien

“…•We develop innovative river system model for continental scale application.•The model includes major hydrological processes and anthropogenic water use.•The…”
Get full text

Uncertainty estimation with bias-correction for flow series based on rating curve by Shao, Quanxi, Lerat, Julien, Podger, Geoff, Dutta, Dushmanta

“…•Correct possible bias in the streamflow data derived from rating curves.•Stabilize residuals in streamflow estimation by two-side Box–Cox…”
Get full text

Evaluating post-processing approaches for monthly and seasonal streamflow forecasts by Woldemeskel, Fitsum, McInerney, David, Lerat, Julien, Thyer, Mark, Kavetski, Dmitri, Shin, Daehyok, Tuteja, Narendra, Kuczera, George

“…Streamflow forecasting is prone to substantial uncertainty due to errors in meteorological forecasts, hydrological model structure, and parameterization, as…”
Get full text

Improving probabilistic prediction of daily streamflow by identifying P areto optimal approaches for modeling heteroscedastic residual errors by McInerney, David, Thyer, Mark, Kavetski, Dmitri, Lerat, Julien, Kuczera, George

“…Reliable and precise probabilistic prediction of daily catchment‐scale streamflow requires statistical characterization of residual errors of hydrological…”
Get full text

Satellite soil moisture data assimilation for improved operational continental water balance prediction by Tian, Siyuan, Renzullo, Luigi J, Pipunic, Robert C, Lerat, Julien, Sharples, Wendy, Donnelly, Chantal

“…A simple and effective two-step data assimilation framework was developed to improve soil moisture representation in an operational large-scale water balance…”
Get full text

An integrated modelling framework for regulated river systems by Welsh, Wendy D., Vaze, Jai, Dutta, Dushmanta, Rassam, David, Rahman, Joel M., Jolly, Ian D., Wallbrink, Peter, Podger, Geoffrey M., Bethune, Matthew, Hardy, Matthew J., Teng, Jin, Lerat, Julien

“…Management of regulated water systems has become increasingly complex due to rapid socio-economic growth and environmental changes in river basins over recent…”
Get full text