ORCID as entered in ROS

Select Publications
2025, A forecasting framework for enhancing gravity variations of finer temporal scales., http://dx.doi.org/10.5194/egusphere-egu25-280
,2025, Enhanced Water Level Monitoring for Small and Complex Inland Water Bodies Using Optical and SAR Retrievals, http://dx.doi.org/10.5194/egusphere-egu25-1200
,2025, From vegetation dynamics to fire risk: a predictive framework, http://dx.doi.org/10.5194/egusphere-egu25-281
,2025, Improving Precipitation Merging: A Generalized Two-Stage Framework Using the Signal-to-Noise Ratio Optimization (SNR-opt), http://dx.doi.org/10.5194/egusphere-egu25-530
,2025, Shifting Mountain Flood Regimes under Global Warming, http://dx.doi.org/10.5194/egusphere-egu25-526
,2025, A Physics Based Satellite Soil Moisture Reconstruction Algorithm, http://dx.doi.org/10.5194/egusphere-egu25-7602
,2025, Development and Application of Australia-Wide Extreme Storms Database for Hydrologic Risk Assessment, http://dx.doi.org/10.5194/egusphere-egu25-14313
,2025, Enhancing Regional Climate Model Simulations through Bias Correction of Global Climate Model Boundary Conditions, http://dx.doi.org/10.5194/egusphere-egu25-13856
,2025, Enhancing Seasonal Flood Forecasts through Spectral Transformation of Hydroclimatic Covariates , http://dx.doi.org/10.5194/egusphere-egu25-7620
,2025, Maximisation potential of observed floods using conditional rainfall simulation and moisture maximisation, http://dx.doi.org/10.5194/egusphere-egu25-10407
,2025, Predicting extreme precipitation events using machine learning techniques based on cumulative distribution function (CDF) analysis of meteorological factors, http://dx.doi.org/10.5194/egusphere-egu25-13959
,2025, Streamflow Response to Tension Water Storage Capacity Distributions in a Large Sample Perspective, http://dx.doi.org/10.5194/egusphere-egu25-7644
,2025, Using global temperature as a covariate to project flood risk, http://dx.doi.org/10.5194/egusphere-egu25-7489
,2025, A dynamical alternative for simulating multi-scale high-resolution sub-daily space-time precipitation for future climates, http://dx.doi.org/10.5194/egusphere-egu24-7076
,2025, Climate informed non-stationary simulation of daily streamflow – a comparison of three stochastic models, http://dx.doi.org/10.5194/egusphere-egu24-10852
,2025, Cost-effective based Water Quality Monitoring Network design algorithm and  WebGIS Platform, http://dx.doi.org/10.5194/egusphere-egu24-19496
,2025, Identifying input and output data errors in the calibration of a water quality model using Bayesian error analysis with reordering (BEAR) method, http://dx.doi.org/10.5194/egusphere-egu24-9238
,2025, Navigating Water Resource Management: A Forecasting Framework for Interannual Drought Projections, http://dx.doi.org/10.5194/egusphere-egu24-13279
,2023, Can annual streamflow volumes be characterised by flood events alone?, http://dx.doi.org/10.5194/egusphere-egu23-10210
,2023, Characterising errors using satellite metadata for eco-hydrological modelling, http://dx.doi.org/10.5194/egusphere-egu23-5100
,2023, Could the 2019-20 Australia bushfires or 2020-22 floods be predicted using CMIP decadal prediction?, http://dx.doi.org/10.5194/egusphere-egu23-10096
,2023, Determination of the spatial scaling relationship of rainfall extremes using radar data, http://dx.doi.org/10.5194/egusphere-egu23-14968
,2023, Implications for engineering design of shorter more extreme rainfalls and increased flood variability, http://dx.doi.org/10.5194/egusphere-egu23-1224
,2023, Investigation of factors leading to extreme floods by space-time simulation of rainfall and runoff, http://dx.doi.org/10.5194/egusphere-egu23-9947
,2023, Is there an upper extent to systematic bias correction of climate model simulations? Application to low-frequency variability within the Niño3.4 region, http://dx.doi.org/10.5194/egusphere-egu23-579
,2022, A novel streamflow estimation using L-band passive microwave, http://dx.doi.org/10.5194/iahs2022-315
,2022, Bayesian model calibration in ungauged catchments via satellite data, http://dx.doi.org/10.5194/iahs2022-313
,2022, Impact of bias-corrected RCM lateral boundary conditions on precipitation extremes, http://dx.doi.org/10.5194/iahs2022-312
,2016, Supplementary material to "On the non-stationarity of hydrological response in anthropogenically unaffected catchments: An Australian perspective", http://dx.doi.org/10.5194/hess-2016-353-supplement
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