By Professor Ashish Sharma

Conference Posters

Mahmud K; Mariethoz G; Baker A, 2013, 'Integrating Multiple Scales of Hydraulic Conductivity Measurements in Training Image-Based Stochastic Models', 09 December 2013 - 13 December 2013

sharma A; Khan U; Tuteja NK; Ajami H, 2013, 'Equivalent Cross Sections - A computationally efficient alternative for distributed hydrological modelling', San Francisco, presented at American Geophysical Union, San Francisco, 09 December 2013 - 13 December 2013

Khan U; Tuteja NK; Ajami H; Sharma A, 2012, 'How to Reduce Computational Time in Distributed Hydrological Modeling?', San Francisco, presented at American Geophysical Union, San Francisco

Khan U; Tuteja NK; Sharma A, 2011, 'Evaluation of Hydrologic Response Units by Soil Moisture Simulations, In-situ Observations and High Resolution Aerial Photographs', Vienna, Austria, presented at European Geosciences Union (EGU) General Assembly, Vienna, Austria, 03 April 2011 - 08 April 2011, http://meetingorganizer.copernicus.org/EGU2011/EGU2011-1062.pdf

Mehrotra R; Smith T; Sharma A; Marshall LA, 2010, 'On Correct Likelihoods and Model Combinations: A Bayesian Multi-Model Conceptual Framework for Structural Uncertainty Assessment'

Conference Presentations

Mahmud K; Mariethoz G; Baker A, 2013, 'Integrating Multiple Scales of Hydraulic Conductivity Measurements in Training Image-Based Stochastic Models', presented at American Geophysical Union Fall Meeting, San Francisco, 09 December 2013 - 13 December 2013

Khan U; Tuteja NK; Sharma A, 2011, 'A Novel Approach for Hydrologic Response Units Delineation', presented at XXV IUGG General Assembly Earth on the Edge: Science for a Sustainable Planet (IUGG-IAHS 2011), Melbourne, Australia, 28 June 2011 - 07 July 2011

Conference Abstracts

Kim S; Zhang R; Sharma A; Lakshmi V, 2020, 'Improvements of satellite observations through data merging: status and challenges', http://dx.doi.org/10.1002/essoar.10505006.1

Sharma A; Jiang Z; Johnson F, 2020, 'Forecasting drought revisited: the importance of spectral transformations to dominant atmospheric predictor variables', in EGU General Assembly 2020, presented at EGU General Assembly, http://dx.doi.org/10.5194/egusphere-egu2020-12334

Afroz R; Sharma A; Johnson F, 2020, 'Residual Mass Severity Index (RMSI); a duration free method to characterise droughts', in EGU General Assembly 2020, presented at EGU General Assembly, http://dx.doi.org/10.5194/egusphere-egu2020-6317

Tang Y; Marshall L; Sharma A; Ajami H, 2017, 'Bayesian multi-objective calibration and uncertainty analysis in ecohydrological modeling', in Bayesian multi-objective calibration and uncertainty analysis in ecohydrological modeling, presented at The 22nd International Congress on Modelling and Simulation

Tang Y; Marshall L; Sharma A; Smith T, 2016, 'Quantification of the impact of the prior distribution in Bayesian hydrological modelling: a toolkit.', in Quantification of the impact of the prior distribution in Bayesian hydrological modelling: a toolkit., presented at Asia Oceania Geosciences Society (AOGS) the 13th Annual Meeting. Beijing, China.

Tang Y; Marshall L; Sharma A; Ajami H, 2016, 'Uncertainty analysis for a Bayesian multi-objective ecohydrological study', in Uncertainty analysis for a Bayesian multi-objective ecohydrological study, presented at American Geophysical Union (AGU), San Francisco, USA.

Wasko CD; Sharma A, 2015, 'Intensification of storms due to warmer temperatures', in MODSIM2015, 21st International Congress on Modelling and Simulation, MODSIM2015, 21st International Congress on Modelling and Simulation, presented at MODSIM2015, 21st International Congress on Modelling and Simulation

Tang Y; Marshall L; Sharma A; Smith T, 2015, 'A toolkit for investigating the importance of prior distribution in Bayesian hydrology', in A toolkit for investigating the importance of prior distribution in Bayesian hydrology, presented at The 21st International Congress on Modelling and Simulation (MODSIM2015)

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

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

Other

Jiang J; Meng W; Liang Q; Sharma A, 2024, Cost-effective based Water Quality Monitoring Network design algorithm and  WebGIS Platform, , http://dx.doi.org/10.5194/egusphere-egu24-19496

Jiang Z; Kibria G; Sharma A, 2024, Navigating Water Resource Management: A Forecasting Framework for Interannual Drought Projections, , http://dx.doi.org/10.5194/egusphere-egu24-13279

Sharma A; Kim Y; Evans J, 2024, 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, 2024, Climate informed non-stationary simulation of daily streamflow – a comparison of three stochastic models, , http://dx.doi.org/10.5194/egusphere-egu24-10852

Wu X; Marshall L; Sharma A; Duan Q, 2024, 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

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", Copernicus GmbH, , http://dx.doi.org/10.5194/hess-2016-353-supplement

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