David Robertson
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Impacts of long‐fallow wheat stubble management on soil water, microclimate, and wheat yield in a Mediterranean climate Open
Inadequate soil water for timely crop establishment in dryland agricultural production systems of the inland Pacific Northwest is a key limiting factor in crop production. It is important to identify management practices that reduce soil w…
Sensitivity of agricultural outcomes to water allocation scenarios under changing climate in the Murray-Darling Basin, Australia Open
Water managers in the Murray-Darling Basin (MDB) face increasing challenges in balancing agricultural productivity, environmental sustainability, and economic efficiency amid climate uncertainty. While prior studies have explored water all…
HydroBOT: an integrated toolkit for assessment of hydrology-dependent outcomes Open
Water management rarely focuses only on water; instead, management targets values across many water-dependent responses. To assess past performance and plan future actions, water managers need to understand how changes to hydrology (over w…
View article: A Distributional Regression Network With Data Transformation for Calibrating Rainfall Forecasts
A Distributional Regression Network With Data Transformation for Calibrating Rainfall Forecasts Open
Machine learning methods provide a promising approach for exploiting relationships between raw forecasts and observations for forecast calibration. This paper highlights the role of data transformation in rainfall forecast calibration with…
Better continental-scale streamflow predictions for Australia: LSTM as a land surface model post-processor and standalone hydrological model Open
Accurate large-scale hydrological predictions are essential for water resource planning. However, many land surface models encounter difficulties in capturing streamflow timing and magnitudes, particularly in large catchments and when cali…
Integrating Hydrological Ensemble Prediction System and Optimization for Limiting Downstream Flood Risk in Dam Operations Open
Advanced Hydrological Ensemble Prediction Systems (HEPSs) offer significant potential to enhance real-time water management by providing probabilistic ensemble water forecasts that can help dam operators better anticipate and mitigate risk…
Uncovering a Key Predictors for Enhancing Daily Streamflow Simulation Using Machine Learning Open
The sequence of droughts and wetter periods in Australia poses challenges for long-term hydrologic modelling. This paper develops a novel machine learning-based approach to uncover key predictors that improve daily streamflow predictions d…
Synergistic outcomes for water availability, the environment, and economic output under climate change and adaptation Open
Freshwater resources need to simultaneously support environmental and economic outcomes; this is a critical challenge under climate change. Many environmental and economic outcomes have contrasting requirements for water, leading to diffic…
Data Assimilation Informed Model Structure Improvement (DAISI) for Robust Prediction Under Climate Change: Application to 201 Catchments in Southeastern Australia Open
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 assimilation algorithm and polynomial updates to the state equations. The method, whic…
Projections of future streamflow for Australia informed by CMIP6 and previous generations of global climate models Open
Projections of streamflow under future climate are essential for developing adaptation strategies in the water and related sectors. This paper presents nationwide streamflow projections for Australia informed by climate change signals in C…
Downscaled numerical weather predictions can improve forecasts of sugarcane irrigation indices Open
Efficient irrigation reduces energy and water costs, increases profit margins and delivers better environmental outcomes. Whilst many growers rely on weather forecasts to make decisions, few studies have sought to incorporate weather forec…
Data Assimilation Informed model Structure Improvement (DAISI) to improve prediction under climate change Open
Estimation of future streamflows is generally done using rainfall-runoff models to generate streamflow projections based on future climate inputs. Unfortunately, the performance of these models degrades significantly when predicting values…
View article: A new approach of coupled long-range forecasts for streamflow and groundwater level
A new approach of coupled long-range forecasts for streamflow and groundwater level Open
Methods to produce seasonal to annual forecasts of surface and groundwater availability have been developed and implemented nationally and globally. Such forecasts allow water managers to create effective irrigation schedules and better pl…
Data Assimilation Informed model Structure Improvement (DAISI) for robust prediction under climate change: Application to 201 catchments in southeastern Australia Open
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 assimilation algorithm and polynomial updates to the state equations. The method, whic…
How sensitive are catchment runoff estimates to on-farm storages under current and future climates? Open
Storage of water in farm dams is important to support irrigation, stock requirements and domestic uses when reticulated water is unavailable. Farm dams that fill by intercepting landscape runoff change the total volume and seasonality of c…
Characterising the regional growth of on-farm storages and their implications for water resources under a changing climate Open
Demand for water for agricultural activities has caused a growth in small on-farm storages (i.e., ≥ 0.1 ha to ≤ 10 ha) in many areas worldwide, thereby increasing the capture of landscape runoff which otherwise would enter the catchment dr…
View article: Better accounting of droughts in long-range inflows scenarios with TULIP
Better accounting of droughts in long-range inflows scenarios with TULIP Open
Many water management agencies rely on stochastic inflow scenarios to plan water operations. For example, Hydro Tasmania, Australia’s largest hydropower generator and water manager, relies on 20+ year inflow scenarios to assess the long-ra…
Adapting rainfall bias-corrections to improve hydrological simulations generated from climate model forcings Open
Global circulation models (GCMs) provide important insights into future climate change. Bias-correction of downscaled GCM output is integral to any hydrological investigations of climate change due to discrepancies between the statistics o…
Are ensemble NWP forecasts now so good that calibration is unnecessary? Open
For streamflow forecasting, calibration of ensemble numerical weather prediction (NWP) models has long been considered a necessary evil. Necessary, because NWP forecasts are usually too biased to force calibrated hydrological models, they …
Development of a national 7-day ensemble streamflow forecasting service for Australia Open
Reliable streamflow forecasts with associated uncertainty estimates are essential to manage and make better use of Australia's scarce surface water resources. Here we present the development of an operational 7 d ensemble streamflow foreca…
Use of data assimilation to improve rainfall-runoff model structure for climate change projections Open
Data assimilation is a powerful tool that has been used to correct states and parameters of rainfall-runoff models based on recent streamflow, remotely sensed soil moisture or groundwater data. Data assimilation is now routinely applied by…
Research to support water resources planning in the Murray-Darling Basin Open
Many hydrological models (GR4J, Sacramento and SIMHYD for example) currently exist to reproduce hydrological response at a catchment scale. Some models (IQQM, Source for example) also exist to assess the impacts of human interventions desi…