A5073599028- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Hydrology and Drought Analysis
- Hydrological Forecasting Using AI
- Hydrology and Sediment Transport Processes
- Climate variability and models
- Groundwater flow and contamination studies
- Soil erosion and sediment transport
- Soil Moisture and Remote Sensing
- Reservoir Engineering and Simulation Methods
- Water resources management and optimization
- Geophysics and Gravity Measurements
- Meteorological Phenomena and Simulations
- Plant Water Relations and Carbon Dynamics
- Peatlands and Wetlands Ecology
- Water-Energy-Food Nexus Studies
- Pasture and Agricultural Systems
- Precipitation Measurement and Analysis
- Fish Ecology and Management Studies
- Nuclear Engineering Thermal-Hydraulics
- Electrical Fault Detection and Protection
- Indigenous Knowledge Systems and Agriculture
- Water management and technologies
- Energy Load and Power Forecasting
- Smart Grid Security and Resilience
Commonwealth Scientific and Industrial Research Organisation
2009-2025
CSIRO Land and Water
2009-2022
Bureau of Meteorology
2014-2021
ACT Government
2011-2021
Plant Biosecurity Cooperative Research Centre
2012
Gestion de l'Eau, Acteurs, Usages
2008-2010
Clinique Saint-Joseph
2009
This paper investigates the actual extrapolation capacity of three hydrological models in differing climate conditions. We propose a general testing framework, which we perform series split‐sample tests, all possible combinations calibration‐validation periods using 10 year sliding window. methodology, have called generalized test (GSST), provides insights into model's transposability over time under various climatic The conceptual rainfall‐runoff yielded similar results set 216 catchments...
Abstract. As all hydrological models are intrinsically limited hypotheses on the behaviour of catchments, – which attempt to represent real-world will always remain imperfect. To make progress long road towards improved models, we need demanding tests, i.e. true crash tests. Efficient testing requires large and varied data sets develop assess ensure their generality, diagnose failures, ultimately, help improving them.
Testing hydrological models under changing conditions is essential to evaluate their ability cope with catchments and suitability for impact studies. With this perspective in mind, a workshop dedicated issue was held at the 2013 General Assembly of International Association Hydrological Sciences (IAHS) Göteborg, Sweden, July 2013, during which results common testing experiment were presented. Prior workshop, participants had been invited test own on set basins showing varying specifically up...
Abstract Reliable and precise probabilistic prediction of daily catchment‐scale streamflow requires statistical characterization residual errors hydrological models. This study focuses on approaches for representing error heteroscedasticity with respect to simulated streamflow, i.e., the pattern larger in higher predictions. We evaluate eight common schemes, including standard weighted least squares, Box‐Cox transformation (with fixed calibrated power parameter λ ) log‐sinh transformation....
The new scientific decade (2023-2032) of the International Association Hydrological Sciences (IAHS) aims at searching for sustainable solutions to undesired water conditions - may it be too little, much or polluted. Many current issues originate from global change, while problems must embrace local understanding and context. will explore crises by actionable knowledge within three themes: interactions, innovative cross-cutting methods. We capitalise on previous IAHS Scientific Decades...
Abstract. A deep learning model designed for time series predictions, the long short-term memory (LSTM) architecture, is regularly producing reliable results in local and regional rainfall–runoff applications around world. Recent large-sample hydrology studies North America Europe have shown LSTM to successfully match conceptual performance at a daily step over hundreds of catchments. Here we investigate how these models perform monthly runoff predictions relatively dry variable conditions...
All that glitters is not gold one of those universal truths also applies to hydrology and particularly the issue model calibration, where a glittering mathematical optimum too often mistaken for hydrological optimum. This commentary aims at underlining fact calibration difficulties have disappeared with advent latest search algorithms. Although it true progress on numerical front has allowed us quasi-eradicate miscalibration issues, we still underestimate remaining task: screening optima...
This study describes a daily rainfall, potential evaporation and streamflow data set compiled for the important water resources region of southeast Australia, application six commonly used lumped conceptual rainfall-runoff models to estimate runoff across region. The climate modelled are available from 1895 2008 at 0.05° grid resolution modelling exercise indicates that can generally be calibrated reproduce observed (for 232 catchments in high generation areas), regionalisation results...
This paper compares four calibration strategies for a daily semidistributed rainfall‐runoff model. The model is applied over 187 French catchments where streamflow data are available at the catchment outlet and internal gauging stations. In benchmark strategy, parameters were optimized against flow only, with points considered as ungauged. three multisite alternative strategies, one gauge. On 53 catchments, second interior gauge was used an independent validation point. methods compared...
Abstract. We present a new method to derive the empirical (i.e., data-based) elasticity of streamflow precipitation and potential evaporation. This method, which uses long-term hydrometeorological records, is tested on set 519 French catchments. compare total five different ways compute elasticity: reference first proposed by Sankarasubramanian et al. (2001) four alternatives differing in type regression model chosen (OLS or GLS, univariate bivariate). show that bivariate GLS OLS regressions...
Abstract. Streamflow forecasting is prone to substantial uncertainty due errors in meteorological forecasts, hydrological model structure, and parameterization, as well the observed rainfall streamflow data used calibrate models. Statistical post-processing an important technique available improve probabilistic properties of forecasts. This study evaluates approaches based on three transformations – logarithmic (Log), log-sinh (Log-Sinh), Box–Cox with λ=0.2 (BC0.2) identifies best-performing...
The Australian Bureau of Meteorology provides flood forecasting and warning services across Australia for most major rivers in Australia, cooperation with other government, local agencies emergency services. As part this service, the issues a watch product to provide early advice on developing situation that may lead flooding up 4 days prior an event. This service is based (a) ensemble available Numerical Weather Prediction (NWP) rainfall forecasts, (b) antecedent soil moisture, stream dam...
Hydrologists are requested to quantify the response of catchments with respect climatic variability or changes: for this, they need be able assess climate elasticity streamflow. Here, we present a large sample study, based on 4122 from four continents, investigating which extent streamflow depends aridity, i.e. ratio long-term average values potential evaporation precipitation. After examining example “Budyko-type” water balance formulas – which embed...