By Professor Ashish Sharma

Journal articles

Kim S; Sharma A; Wasko C; Nathan R, 2022, 'Linking total precipitable water to precipitation extremes globally', Earth's Future, 10, pp. e2021EF002473 - e2021EF002473, http://dx.doi.org/10.1029/2021EF002473

Nury AH; Sharma A; Marshall L; Cordery I, 2022, 'A conceptual model for simulating streamflow in a changing snow-covered catchment: application to the data-sparse upper Brahmaputra River basin', Hydrological Sciences Journal, 67, pp. 1669 - 1682, http://dx.doi.org/10.1080/02626667.2022.2083512

Yoon HN; Marshall L; Sharma A; Kim S, 2022, 'Bayesian Model Calibration Using Surrogate Streamflow in Ungauged Catchments', Water Resources Research, 58, http://dx.doi.org/10.1029/2021WR031287

Li D; Marshall L; Liang Z; Sharma A, 2022, 'Hydrologic multi-model ensemble predictions using variational Bayesian deep learning', Journal of Hydrology, 604, http://dx.doi.org/10.1016/j.jhydrol.2021.127221

Wu X; Marshall L; Sharma A, 2022, 'Incorporating multiple observational uncertainties in water quality model calibration', Hydrological Processes, 36, http://dx.doi.org/10.1002/hyp.14452

Chen C; Li T; Sivakumar B; Sharma A; Albertson JD; Zhang L; Wang G, 2021, 'Combined Effects of Warming and Grazing on Rangeland Vegetation on the Qinghai-Tibet Plateau', Frontiers in Environmental Science, 9, http://dx.doi.org/10.3389/fenvs.2021.797971

Kang TH; Sharma A; Marshall L, 2021, 'Assessing Goodness of Fit for Verifying Probabilistic Forecasts', Forecasting, 3, pp. 763 - 773, http://dx.doi.org/10.3390/forecast3040047

Li D; Marshall L; Liang Z; Sharma A; Zhou Y, 2021, 'Characterizing distributed hydrological model residual errors using a probabilistic long short-term memory network', Journal of Hydrology, 603, http://dx.doi.org/10.1016/j.jhydrol.2021.126888

Visser JB; Wasko C; Sharma A; Nathan R, 2021, 'Eliminating the Hook in Precipitation Temperature Scaling', Journal of Climate, 34, pp. 9535 - 9549, http://dx.doi.org/10.1175/JCLI-D-21-0292.1

Worawiwat A; Chaleeraktrakoon C; Sharma A, 2021, 'Is increased flooding in Bangkok a result of rising local temperatures?', Journal of Hydrology X, 13, http://dx.doi.org/10.1016/j.hydroa.2021.100095

Nury AH; Sharma A; Marshall L; Cordery I, 2021, 'Modelling climate change impacts on the Brahmaputra streamflow resulting from changes in snowpack attributes', Journal of Hydrology, 603, http://dx.doi.org/10.1016/j.jhydrol.2021.126998

Jiang Z; Sharma A; Johnson F, 2021, 'Variable transformations in the spectral domain – Implications for hydrologic forecasting', Journal of Hydrology, 603, http://dx.doi.org/10.1016/j.jhydrol.2021.126816

Kim YT; Kwon HH; Lima C; Sharma A, 2021, 'A Novel Spatial Downscaling Approach for Climate Change Assessment in Regions With Sparse Ground Data Networks', Geophysical Research Letters, 48, http://dx.doi.org/10.1029/2021GL095729

Wasko C; Sharma A; Pui A, 2021, 'Linking temperature to catastrophe damages from hydrologic and meteorological extremes', Journal of Hydrology, 602, http://dx.doi.org/10.1016/j.jhydrol.2021.126731

Afroz R; Johnson F; Sharma A, 2021, 'The residual mass severity index – A new method to characterize sustained hydroclimatic extremes', Journal of Hydrology, 602, http://dx.doi.org/10.1016/j.jhydrol.2021.126724

Kim S; Sharma A; Liu Y; Young SI, 2021, 'Rethinking Satellite Data Merging: From Averaging to SNR Optimization', IEEE Transactions on Geoscience and Remote Sensing, 60, pp. 1 - 15, http://dx.doi.org/10.1109/TGRS.2021.3107028

Li D; Marshall L; Liang Z; Sharma A; Zhou Y, 2021, 'Bayesian LSTM With Stochastic Variational Inference for Estimating Model Uncertainty in Process-Based Hydrological Models', Water Resources Research, 57, http://dx.doi.org/10.1029/2021WR029772

Kim SSH; Marshall LA; Hughes JD; Sharma A; Vaze J, 2021, 'Jointly Calibrating Hydrologic Model Parameters and State Adjustments', Water Resources Research, 57, http://dx.doi.org/10.1029/2020WR028499

Kusumastuti C; Jiang Z; Mehrotra R; Sharma A, 2021, 'A Signal Processing Approach to Correct Systematic Bias in Trend and Variability in Climate Model Simulations', Geophysical Research Letters, 48, http://dx.doi.org/10.1029/2021GL092953

Wu X; Marshall L; Sharma A, 2021, 'Quantifying input error in hydrologic modeling using the Bayesian error analysis with reordering (BEAR) approach', Journal of Hydrology, 598, http://dx.doi.org/10.1016/j.jhydrol.2021.126202

Kim S; Dong J; Sharma A, 2021, 'A triple collocation-based comparison of three L-band soil moisture datasets, SMAP, SMOS-IC, and SMOS, over varied climates and land covers', Frontiers in Water, 3, pp. 64 - 64, http://dx.doi.org/10.3389/frwa.2021.693172

Kim Y; Evans JP; Sharma A; Rocheta E, 2021, 'Spatial, Temporal, and Multivariate Bias in Regional Climate Model Simulations', Geophysical Research Letters, 48, http://dx.doi.org/10.1029/2020GL092058

Kim S; Mehrotra R; Kim S; Sharma A, 2021, 'Assessing countermeasure effectiveness in controlling cyanobacterial exceedance in riverine systems using probabilistic forecasting alternatives', Journal of Water Resources Planning and Management, 147, pp. 04021062, http://dx.doi.org/10.1061/(ASCE)WR.1943-5452.0001449

Mehrotra R; Sharma A, 2021, 'A robust alternative for correcting systematic biases in multi-variable climate model simulations', Environmental Modelling and Software, 139, pp. 105019, http://dx.doi.org/10.1016/j.envsoft.2021.105019

Sharma A; Hettiarachchi S; Wasko C, 2021, 'Estimating design hydrologic extremes in a warming climate: Alternatives, uncertainties and the way forward', Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379, http://dx.doi.org/10.1098/rsta.2019.0623

Fowler HJ; Ali H; Allan RP; Ban N; Barbero R; Berg P; Blenkinsop S; Cabi NS; Chan S; Dale M; Dunn RJH; Ekström M; Evans JP; Fosser G; Golding B; Guerreiro SB; Hegerl GC; Kahraman A; Kendon EJ; Lenderink G; Lewis E; Li X; O'Gorman PA; Orr HG; Peat KL; Prein AF; Pritchard D; Schär C; Sharma A; Stott PA; Villalobos-Herrera R; Villarini G; Wasko C; Wehner MF; Westra S; Whitford A, 2021, 'Towards advancing scientific knowledge of climate change impacts on short-duration rainfall extremes', Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379, http://dx.doi.org/10.1098/rsta.2019.0542

Banerjee C; Sharma A; D NK, 2021, 'Decline in terrestrial water recharge with increasing global temperatures', Science of the Total Environment, 764, http://dx.doi.org/10.1016/j.scitotenv.2020.142913

Fowler HJ; Lenderink G; Prein AF; Westra S; Allan RP; Ban N; Barbero R; Berg P; Blenkinsop S; Do HX; Guerreiro S; Haerter JO; Kendon EJ; Lewis E; Schaer C; Sharma A; Villarini G; Wasko C; Zhang X, 2021, 'Anthropogenic intensification of short-duration rainfall extremes', Nature Reviews Earth and Environment, 2, pp. 107 - 122, http://dx.doi.org/10.1038/s43017-020-00128-6

Jiang Z; Rashid MM; Johnson F; Sharma A, 2021, 'A wavelet-based tool to modulate variance in predictors: An application to predicting drought anomalies', Environmental Modelling and Software, 135, pp. 104907, http://dx.doi.org/10.1016/j.envsoft.2020.104907

Kim Y; Rocheta E; Evans JP; Sharma A, 2020, 'Impact of bias correction of regional climate model boundary conditions on the simulation of precipitation extremes', Climate Dynamics, 55, pp. 3507 - 3526, http://dx.doi.org/10.1007/s00382-020-05462-5

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

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