By Professor Ashish Sharma

Conference Abstracts

Tang Y; Marshall L; Sharma A; Ajami H, 2015, 'Bayesian alternative for multi-objective ecohydrological model specification', in Bayesian alternative for multi-objective ecohydrological model specification, presented at American Geophysical Union (AGU), San Francisco, USA.

Reports

Luk KC; Ball JE; Sharma A, 1998, An application of artifical neural network for rainfall forecasting, WRL Research Report 194, UNSW, 194

Theses / Dissertations

Kim S, 2017, Improvements and Applications of Satellite-Derived Soil Moisture Data for Flood Forecasting, http://handle.unsw.edu.au/1959.4/58815

Preprints

Ho M; O'Shea D; Wasko C; Nathan R; Sharma A, 2025, The impact of climate change on dam overtopping flood risk, http://dx.doi.org/10.5194/hess-2024-403

Kim Y; Evans JP; Sharma A, 2024, Correcting Multivariate Biases in RCM Boundaries: How are Synoptic Systems impacted over the Australian Region?, http://dx.doi.org/10.22541/essoar.172191676.64331899/v1

Ghanghas A; Sharma A; Merwade VM, 2024, Unveiling the Evolution of Extreme Rainfall Across Space and Time in a Warming Climate, http://dx.doi.org/10.22541/essoar.171224209.94436476/v1

Kim Y; Evans JP; Sharma A, 2023, Can sub-daily multivariate bias correction of regional climate model boundary conditions improve simulation of the diurnal precipitation cycle?, http://dx.doi.org/10.22541/essoar.168351202.25973894/v1

Peter J; Vogel E; Sharples W; Bende-Michl U; Wilson L; Hope P; Dowdy A; Kociuba G; Srikanthan S; Duong VC; Roussis J; Matic V; Khan Z; Oke A; Turner M; Baron-Hay S; Johnson F; Mehrotra R; Sharma A; Thatcher M; Azarvinand A; Thomas S; Boschat G; Donnelly C; Argent R, 2023, Continental-scale bias-corrected climate and hydrological projections for Australia, http://dx.doi.org/10.5194/gmd-2023-7

Ghanghas A; Sharma A; Dey S; Merwade VM, 2022, How is spatial homogeneity in precipitation extremes changing globally?, http://dx.doi.org/10.1002/essoar.10512705.1

Yoon HN; Marshall LA; Sharma A; Kim S, 2022, A novel approach for deriving river discharge using passive microwaves, http://dx.doi.org/10.1002/essoar.10512498.1

Kwon H-H; Kim Y-T; Lima C; Sharma A, 2021, A novel spatial downscaling approach for climate change assessment in regions with sparse ground data networks, http://dx.doi.org/10.1002/essoar.10508525.1

Sivasubramaniam K; Sharma A; Alfredsen K, 2017, Should radar precipitation depend on incident air temperature? A new estimation algorithm for cold climates, http://dx.doi.org/10.5194/hess-2017-662

Other

Kankanige D; Vishwakarma B; Liu Y; Sharma A, 2025, A forecasting framework for enhancing gravity variations of finer temporal scales., http://dx.doi.org/10.5194/egusphere-egu25-280

Han K; Kim S; Mehrotra R; Sharma A, 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

Liu Y; Kankanige D; Sharma A, 2025, From vegetation dynamics to fire risk: a predictive framework, http://dx.doi.org/10.5194/egusphere-egu25-281

Kim S; Shah S; Liu Y; Sharma A, 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

Shah S; Liu Y; Kim S; Sharma A; Fischer S, 2025, Shifting Mountain Flood Regimes under Global Warming, http://dx.doi.org/10.5194/egusphere-egu25-526

Sharma A; Sinha J; Marshall L, 2025, A Physics Based Satellite Soil Moisture Reconstruction Algorithm, http://dx.doi.org/10.5194/egusphere-egu25-7602

Dykman C; Kim Y; Nathan R; Sharma A; Wasko C, 2025, Development and Application of Australia-Wide Extreme Storms Database for Hydrologic Risk Assessment, http://dx.doi.org/10.5194/egusphere-egu25-14313

Evans J; Kim Y; Sharma A, 2025, Enhancing Regional Climate Model Simulations through Bias Correction of Global Climate Model Boundary Conditions, http://dx.doi.org/10.5194/egusphere-egu25-13856

Jiang Z; Merz B; Sharma A, 2025, Enhancing Seasonal Flood Forecasts through Spectral Transformation of Hydroclimatic Covariates , http://dx.doi.org/10.5194/egusphere-egu25-7620

Haberlandt U; Thiele L-B; Sharma A, 2025, Maximisation potential of observed floods using conditional rainfall simulation and moisture maximisation, http://dx.doi.org/10.5194/egusphere-egu25-10407

Wu X; Jiang Z; Sharma A, 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

Zhou Y; Sharma A; Marshall L, 2025, Streamflow Response to Tension Water Storage Capacity Distributions in a Large Sample Perspective, http://dx.doi.org/10.5194/egusphere-egu25-7644

Wasko C; Jayaweera L; Ho M; Nathan R; O'Shea D; Sharma A, 2025, Using global temperature as a covariate to project flood risk, http://dx.doi.org/10.5194/egusphere-egu25-7489

Sharma A; Kim Y; Evans J, 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

Haberlandt U; Jiang Z; Brunner M; Chartier-Rescan C; Brandt A; Sharma A, 2025, Climate informed non-stationary simulation of daily streamflow – a comparison of three stochastic models, http://dx.doi.org/10.5194/egusphere-egu24-10852

Jiang J; Meng W; Liang Q; Sharma A, 2025, Cost-effective based Water Quality Monitoring Network design algorithm and  WebGIS Platform, http://dx.doi.org/10.5194/egusphere-egu24-19496

Wu X; Marshall L; Sharma A; Duan Q, 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

Jiang Z; Kibria G; Sharma A, 2025, Navigating Water Resource Management: A Forecasting Framework for Interannual Drought Projections, http://dx.doi.org/10.5194/egusphere-egu24-13279

Dykman C; Sharma A; Wasko C; Nathan R, 2023, Can annual streamflow volumes be characterised by flood events alone?, http://dx.doi.org/10.5194/egusphere-egu23-10210

Zou H; Marshall L; Sharma A, 2023, Characterising errors using satellite metadata for eco-hydrological modelling, http://dx.doi.org/10.5194/egusphere-egu23-5100

Jiang Z; Choudhury D; Sharma A, 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

Goshtsasbpour G; Haberlandt@iww.uni-hannover.de U; Sharma A; El Hachem A; Seidel J; Bardossy A, 2023, Determination of the spatial scaling relationship of rainfall extremes using radar data, http://dx.doi.org/10.5194/egusphere-egu23-14968

Wasko C; Ho M; Nathan R; Sharma A; Dykman C; Vogel E, 2023, Implications for engineering design of shorter more extreme rainfalls and increased flood variability, http://dx.doi.org/10.5194/egusphere-egu23-1224

Haberlandt U; Thiele L-B; Sharma A, 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

Kusumastuti C; Mehrotra R; Sharma A, 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

Yoon HN; Marshall L; Sharma A; Kim S, 2022, A novel streamflow estimation using L-band passive microwave, http://dx.doi.org/10.5194/iahs2022-315

Yoon HN; Marshall L; Sharma A; Kim S, 2022, Bayesian model calibration in ungauged catchments via satellite data, http://dx.doi.org/10.5194/iahs2022-313

Kim Y; Evans J; Sharma A, 2022, Impact of bias-corrected RCM lateral boundary conditions on precipitation extremes, http://dx.doi.org/10.5194/iahs2022-312

Ajami H; sharma A; Band LE; Evans JP; Tuteja NK; Amirthanathan GE; Bari MA, 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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