By Professor Ashish Sharma

Journal articles

Wu X; Marshall L; Sharma A, 2020, 'Quantifying input uncertainty in the calibration of water quality models: reshuffling errors via the secant method', , http://dx.doi.org/10.5194/hess-2020-563

Kim S; Anabalón A; Sharma A; Anabalon Alamos A, 2020, 'An Assessment of Concurrency in Evapotranspiration Trends Across Multiple Global Datasets', Journal of Hydrometeorology, 22, pp. 231 - 244, http://dx.doi.org/10.1175/JHM-D-20-0059.1

Deb P; Moradkhani H; Abbaszadeh P; Kiem AS; Engström J; Keellings D; Sharma A, 2020, 'Causes of the Widespread 2019–2020 Australian Bushfire Season', Earth's Future, 8, http://dx.doi.org/10.1029/2020EF001671

Rocheta E; Evans JP; Sharma A, 2020, 'Correcting lateral boundary biases in regional climate modelling: the effect of the relaxation zone', Climate Dynamics, 55, pp. 2511 - 2521, http://dx.doi.org/10.1007/s00382-020-05393-1

Han X; Mehrotra R; Sharma A, 2020, 'Measuring the spatial connectivity of extreme rainfall', Journal of Hydrology, 590, http://dx.doi.org/10.1016/j.jhydrol.2020.125510

Kim S; Pham H; Liu YY; Marshall L; Sharma A, 2020, 'Improving the combination of satellite soil moisture datasets by considering error cross-correlation: A comparison between triple collocation (TC) and extended double instrumental variable (EIVD) alternatives', IEEE Transactions on Geoscience and Remote Sensing, 59, pp. 7285 - 7295, http://dx.doi.org/10.1109/TGRS.2020.3032418

Zhang R; Kim S; Sharma A; Lakshmi V, 2020, 'Identifying relative strengths of SMAP, SMOS-IC, and ASCAT to capture temporal variability', Remote Sensing of Environment, 252, pp. 112126 - 112126, http://dx.doi.org/10.1016/j.rse.2020.112126

Kim S; Mehrotra R; Kim S; Sharma A, 2020, 'Probabilistic forecasting of cyanobacterial concentration in riverine systems using environmental drivers', Journal of Hydrology, http://dx.doi.org/10.1016/j.jhydrol.2020.125626

Visser JB; Wasko C; Sharma A; Nathan R, 2020, 'Resolving Inconsistencies in Extreme Precipitation-Temperature Sensitivities', Geophysical Research Letters, 47, http://dx.doi.org/10.1029/2020GL089723

Kim S; Ajami H; Sharma A, 2020, 'Using Remotely Sensed Information to Improve Vegetation Parameterization in a Semi-Distributed Hydrological Model (SMART) for Upland Catchments in Australia', Remote Sensing, 12, pp. 3051 - 3051, http://dx.doi.org/10.3390/rs12183051

Kim SSH; Marshall LA; Hughes JD; Sharma A; Vaze J, 2020, 'Does accounting for state uncertainty improve hydrologic model predictions?', , http://dx.doi.org/10.1002/essoar.10503990.1

Magan B; Kim S; Wasko C; Barbero R; Moron V; Nathan R; Sharma A, 2020, 'Impact of atmospheric circulation on the rainfall-temperature relationship in Australia', Environmental Research Letters, 15, pp. 094098, http://dx.doi.org/10.1088/1748-9326/abab35

Steinfeld CMM; Sharma A; Mehrotra R; Kingsford RT, 2020, 'The human dimension of water availability: Influence of management rules on water supply for irrigated agriculture and the environment', Journal of Hydrology, 588, http://dx.doi.org/10.1016/j.jhydrol.2020.125009

Clark S; Sisson SA; Sharma A, 2020, 'Tools for enhancing the application of self-organizing maps in water resources research and engineering', Advances in Water Resources, 143, http://dx.doi.org/10.1016/j.advwatres.2020.103676

Moradi S; Agostino A; Gandomkar Z; Kim S; Hamilton L; Sharma A; Henderson R; Leslie G, 2020, 'Quantifying natural organic matter concentration in water from climatological parameters using different machine learning algorithms', H2Open Journal, 3, pp. 328 - 343, http://dx.doi.org/10.2166/h2oj.2020.035

Roderick TP; Wasko C; Sharma A, 2020, 'An Improved Covariate for Projecting Future Rainfall Extremes?', Water Resources Research, 56, http://dx.doi.org/10.1029/2019WR026924

Kim S; Eghdamirad S; Sharma A; Kim JH, 2020, 'Quantification of uncertainty in projections of extreme daily precipitation', Earth and Space Science, 7, http://dx.doi.org/10.1029/2019EA001052

Hu H; Yang K; Sharma A; Mehrotra R, 2020, 'Assessment of water and energy scarcity, security and sustainability into the future for the Three Gorges Reservoir using an ensemble of RCMs', Journal of Hydrology, 586, http://dx.doi.org/10.1016/j.jhydrol.2020.124893

Kim S; Kim S; Mehrotra R; Sharma A, 2020, 'Predicting cyanobacteria occurrence using climatological and environmental controls', Water Research, 175, http://dx.doi.org/10.1016/j.watres.2020.115639

Sharma A, 2020, 'The opposing factors controlling change in warming related future flood extremes', , http://dx.doi.org/10.5194/egusphere-egu2020-4277

Han X; Ouarda TBMJ; Rahman A; Haddad K; Mehrotra R; Sharma A, 2020, 'A Network Approach for Delineating Homogeneous Regions in Regional Flood Frequency Analysis', Water Resources Research, 56, http://dx.doi.org/10.1029/2019WR025910

Jiang Z; Sharma A; Johnson F, 2020, 'Refining Predictor Spectral Representation Using Wavelet Theory for Improved Natural System Modeling', Water Resources Research, 56, http://dx.doi.org/10.1029/2019WR026962

Nguyen H; Mehrotra R; Sharma A, 2020, 'Assessment of Climate Change Impacts on Reservoir Storage Reliability, Resilience, and Vulnerability Using a Multivariate Frequency Bias Correction Approach', Water Resources Research, 56, http://dx.doi.org/10.1029/2019WR026022

Rashid MM; Sharma A; Johnson F, 2020, 'Multi-model drought predictions using temporally aggregated climate indicators', Journal of Hydrology, 581, pp. 124419, http://dx.doi.org/10.1016/j.jhydrol.2019.124419

Kim S; Zhang R; Pham H; Sharma A, 2019, 'A Review of Satellite-Derived Soil Moisture and Its Usage for Flood Estimation', Remote Sensing in Earth Systems Sciences, 2, pp. 225 - 246, http://dx.doi.org/10.1007/s41976-019-00025-7

Jiang Z; Sharma A; Johnson F, 2019, 'Assessing the sensitivity of hydro-climatological change detection methods to model uncertainty and bias', Advances in Water Resources, 134, pp. 103430, http://dx.doi.org/10.1016/j.advwatres.2019.103430

Alexander K; Hettiarachchi S; Ou Y; Sharma A, 2019, 'Can integrated green spaces and storage facilities absorb the increased risk of flooding due to climate change in developed urban environments?', Journal of Hydrology, 579, http://dx.doi.org/10.1016/j.jhydrol.2019.124201

Wasko C; Sharma A; Lettenmaier DP, 2019, 'Increases in temperature do not translate to increased flooding', Nature Communications, 10, http://dx.doi.org/10.1038/s41467-019-13612-5

Wu X; Marshall L; Sharma A, 2019, 'The influence of data transformations in simulating Total Suspended Solids using Bayesian inference', Environmental Modelling and Software, 121, http://dx.doi.org/10.1016/j.envsoft.2019.104493

Sivasubramaniam K; Sharma A; Alfredsen K, 2019, 'Merging radar and gauge information within a dynamical model combination framework for precipitation estimation in cold climates', Environmental Modelling and Software, 119, pp. 99 - 110, http://dx.doi.org/10.1016/j.envsoft.2019.05.013

Verstraten L; Wasko C; Ashford G; Sharma A, 2019, 'Sensitivity of Australian roof drainage structures to design rainfall variability and climatic change', Building and Environment, 161, http://dx.doi.org/10.1016/j.buildenv.2019.106230

Choudhury D; Mehrotra R; Sharma A; Sen Gupta A; Sivakumar B, 2019, 'Effectiveness of CMIP5 Decadal Experiments for Interannual Rainfall Prediction Over Australia', Water Resources Research, 55, pp. 7400 - 7418, http://dx.doi.org/10.1029/2018WR024462

Blöschl G; Bierkens MFP; Chambel A; Cudennec C; Destouni G; Fiori A; Kirchner JW; McDonnell JJ; Savenije HHG; Sivapalan M; Stumpp C; Toth E; Volpi E; Carr G; Lupton C; Salinas J; Széles B; Viglione A; Aksoy H; Allen ST; Amin A; Andréassian V; Arheimer B; Aryal SK; Baker V; Bardsley E; Barendrecht MH; Bartosova A; Batelaan O; Berghuijs WR; Beven K; Blume T; Bogaard T; Borges de Amorim P; Böttcher ME; Boulet G; Breinl K; Brilly M; Brocca L; Buytaert W; Castellarin A; Castelletti A; Chen X; Chen Y; Chen Y; Chifflard P; Claps P; Clark MP; Collins AL; Croke B; Dathe A; David PC; de Barros FPJ; de Rooij G; Di Baldassarre G; Driscoll JM; Duethmann D; Dwivedi R; Eris E; Farmer WH; Feiccabrino J; Ferguson G; Ferrari E; Ferraris S; Fersch B; Finger D; Foglia L; Fowler K; Gartsman B; Gascoin S; Gaume E; Gelfan A; Geris J; Gharari S; Gleeson T; Glendell M; Gonzalez Bevacqua A; González-Dugo MP; Grimaldi S; Gupta AB; Guse B; Han D; Hannah D; Harpold A; Haun S; Heal K; Helfricht K; Herrnegger M; Hipsey M; Hlaváčiková H; Hohmann C; Holko L; Hopkinson C; Hrachowitz M; Illangasekare TH; Inam A; Innocente C; Istanbulluoglu E; Jarihani B; Kalantari Z, 2019, 'Twenty-three unsolved problems in hydrology (UPH)–a community perspective', Hydrological Sciences Journal, 64, pp. 1141 - 1158, http://dx.doi.org/10.1080/02626667.2019.1620507

Nury AH; Sharma A; Marshall L; Mehrotra R, 2019, 'Characterising uncertainty in precipitation downscaling using a Bayesian approach', Advances in Water Resources, 129, pp. 189 - 197, http://dx.doi.org/10.1016/j.advwatres.2019.05.018

Tang Y; Marshall L; Sharma A; Ajami H; Nott DJ, 2019, 'Ecohydrologic Error Models for Improved Bayesian Inference in Remotely Sensed Catchments', Water Resources Research, 55, pp. 4533 - 4549, http://dx.doi.org/10.1029/2019WR025055

Khoshoei M; Safavi HR; Sharma A, 2019, 'Relationship of Drought and Engineered Water Supply: Multivariate Index for Quantifying Sustained Water Stress in Anthropogenically Affected Subbasins', Journal of Hydrologic Engineering, 24, http://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0001779

Sharma A, 2019, 'Phase randomisation paper by Brunner et al.', , http://dx.doi.org/10.5194/hess-2019-142-rc1

Eghdamirad S; Johnson F; Sharma A; Kim JH, 2019, 'The influence of dependence in characterizing multi-variable uncertainty for climate change impact assessments', Hydrological Sciences Journal, 64, pp. 731 - 738, http://dx.doi.org/10.1080/02626667.2019.1602777

Hettiarachchi S; Wasko C; Sharma A, 2019, 'Can antecedent moisture conditions modulate the increase in flood risk due to climate change in urban catchments?', Journal of Hydrology, 571, pp. 11 - 20, http://dx.doi.org/10.1016/j.jhydrol.2019.01.039

Zhang R; Kim S; Sharma A, 2019, 'A comprehensive validation of the SMAP Enhanced Level-3 Soil Moisture product using ground measurements over varied climates and landscapes', Remote Sensing of Environment, 223, pp. 82 - 94, http://dx.doi.org/10.1016/j.rse.2019.01.015

Roderick TP; Wasko C; Sharma A, 2019, 'Atmospheric Moisture Measurements Explain Increases in Tropical Rainfall Extremes', Geophysical Research Letters, 46, pp. 1375 - 1382, http://dx.doi.org/10.1029/2018GL080833

Nguyen H; Mehrotra R; Sharma A, 2019, 'Correcting systematic biases across multiple atmospheric variables in the frequency domain', Climate Dynamics, 52, pp. 1283 - 1298, http://dx.doi.org/10.1007/s00382-018-4191-6

Kim S; Sharma A, 2019, 'The role of floodplain topography in deriving basin discharge using passive microwave remote sensing', Water Resources Research, 55, pp. 1707 - 1716, http://dx.doi.org/10.1029/2018WR023627

Mehrotra R; Sharma A, 2019, 'A Resampling Approach for Correcting Systematic Spatiotemporal Biases for Multiple Variables in a Changing Climate', Water Resources Research, 55, pp. 754 - 770, http://dx.doi.org/10.1029/2018WR023270

Tang Y; Marshall L; Sharma A; Ajami H, 2019, 'Modelling precipitation uncertainties in a multi-objective Bayesian ecohydrological setting', Advances in Water Resources, 123, pp. 12 - 22, http://dx.doi.org/10.1016/j.advwatres.2018.10.015

Sivasubramaniam K; Sharma A; Alfredsen K, 2018, 'Estimating radar precipitation in cold climates: The role of air temperature within a non-parametric framework', Hydrology and Earth System Sciences, 22, pp. 6533 - 6546, http://dx.doi.org/10.5194/hess-22-6533-2018

Sharma A; Wasko C; Lettenmaier DP, 2018, 'If Precipitation Extremes Are Increasing, Why Aren't Floods?', Water Resources Research, 54, pp. 8545 - 8551, http://dx.doi.org/10.1029/2018WR023749

Sharma A, 2018, 'correlation biases paper review', , http://dx.doi.org/10.5194/hess-2018-468-rc2

Sharma A, 2018, 'review of correlation paper', , http://dx.doi.org/10.5194/hess-2018-468-sc1

Sharma A, 2018, 'Disaggregating Soil Moisture to Finer Spatial Resolutions: A Comparison of Alternatives', Water Resources Research, 54, pp. 9456 - 9483, http://dx.doi.org/10.1029/2018WR022575

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