By Professor Ashish Sharma

Journal articles

Zou H; Marshall L; Sharma A, 2023, 'Characterizing Errors Using Satellite Metadata for Eco-Hydrological Model Calibration', Water Resources Research, 59, http://dx.doi.org/10.1029/2022WR033978

Ghanghas A; Sharma A; Dey S; Merwade V, 2023, 'How Is Spatial Homogeneity in Precipitation Extremes Changing Globally?', Geophysical Research Letters, 50, http://dx.doi.org/10.1029/2023GL103233

Vogel E; Johnson F; Marshall L; Bende-Michl U; Wilson L; Peter JR; Wasko C; Srikanthan S; Sharples W; Dowdy A; Hope P; Khan Z; Mehrotra R; Sharma A; Matic V; Oke A; Turner M; Thomas S; Donnelly C; Duong VC, 2023, 'An evaluation framework for downscaling and bias correction in climate change impact studies', Journal of Hydrology, 622, http://dx.doi.org/10.1016/j.jhydrol.2023.129693

Sharma A; Mehrotra R; Kusumastuti C, 2023, 'Correcting systematic bias in derived hydrologic simulations – Implications for climate change assessments', Journal of Water and Climate Change, 14, pp. 2085 - 2102, http://dx.doi.org/10.2166/wcc.2023.230

Jiang Z; Johnson F; Sharma A, 2023, 'Do Derived Drought Indices Better Characterize Future Drought Change?', Earth S Future, 11, http://dx.doi.org/10.1029/2022EF003350

Pan X; Rahman A; Haddad K; Ouarda TBMJ; Sharma A, 2023, 'Regional flood frequency analysis based on peaks-over-threshold approach: A case study for South-Eastern Australia', Journal of Hydrology Regional Studies, 47, http://dx.doi.org/10.1016/j.ejrh.2023.101407

Kusumastuti C; Mehrotra R; Sharma A, 2023, 'Rectifying low-frequency variability in future climate sea surface temperature simulations: are corrections for extreme change scenarios realistic?', Environmental Research Letters, 18, http://dx.doi.org/10.1088/1748-9326/accdf1

O’Shea D; Nathan R; Sharma A; Wasko C, 2023, 'Improved Extreme Rainfall Frequency Analysis Using a Two-Step Kappa Approach', Water Resources Research, 59, http://dx.doi.org/10.1029/2021WR031854

Yoon HN; Marshall L; Sharma A, 2023, 'Beyond river discharge gauging: hydrologic predictions using remote sensing alone', Environmental Research Letters, 18, http://dx.doi.org/10.1088/1748-9326/acb8cb

Tie J; Kim S; Sharma A, 2023, 'How does increasing temperature affect the sub-annual distribution of monthly rainfall?', Environmental Research Climate, 2, http://dx.doi.org/10.1088/2752-5295/acb5b9

Dykman C; Sharma A; Wasko C; Nathan R, 2023, 'Can annual streamflow volumes be characterised by flood events alone?', Journal of Hydrology, 617, http://dx.doi.org/10.1016/j.jhydrol.2022.128884

Rashid MM; Wahl T; Villarini G; Sharma A, 2023, 'Fluvial Flood Losses in the Contiguous United States Under Climate Change', Earth S Future, 11, http://dx.doi.org/10.1029/2022EF003328

Hussain S; Hussain E; Saxena P; Sharma A; Thathola P; Sonwani S, 2023, 'Navigating the impact of climate change in India: a perspective on climate action (SDG13) and sustainable cities and communities (SDG11)', Frontiers in Sustainable Cities, 5, http://dx.doi.org/10.3389/frsc.2023.1308684

Ho M; Nathan R; Wasko C; Vogel E; Sharma A, 2022, 'Projecting changes in flood event runoff coefficients under climate change', Journal of Hydrology, 615, http://dx.doi.org/10.1016/j.jhydrol.2022.128689

Visser JB; Kim S; Wasko C; Nathan R; Sharma A, 2022, 'The Impact of Climate Change on Operational Probable Maximum Precipitation Estimates', Water Resources Research, 58, http://dx.doi.org/10.1029/2022WR032247

Kusumastuti C; Jiang Z; Mehrotra R; Sharma A, 2022, 'Correcting Systematic Bias in Climate Model Simulations in the Time-Frequency Domain', Geophysical Research Letters, 49, http://dx.doi.org/10.1029/2022GL100550

Guo T; Liu Y; Shao G; Engel BA; Sharma A; Marshall LA; Flanagan DC; Cibin R; Wallace CW; Zhao K; Ren D; Vera Mercado J; Aboelnour MA, 2022, 'Improving probabilistic monthly water quantity and quality predictions using a simplified residual-based modeling approach', Environmental Modelling and Software, 156, http://dx.doi.org/10.1016/j.envsoft.2022.105499

Han X; Mehrotra R; Sharma A; Rahman A, 2022, 'Incorporating nonstationarity in regional flood frequency analysis procedures to account for climate change impact', Journal of Hydrology, 612, http://dx.doi.org/10.1016/j.jhydrol.2022.128235

Hettiarachchi S; Wasko C; Sharma A, 2022, 'Rethinking urban storm water management through resilience – The case for using green infrastructure in our warming world', Cities, 128, http://dx.doi.org/10.1016/j.cities.2022.103789

He W; Kim S; Wasko C; Sharma A, 2022, 'A global assessment of change in flood volume with surface air temperature', Advances in Water Resources, 165, http://dx.doi.org/10.1016/j.advwatres.2022.104241

Wasko C; Visser JB; Nathan R; Ho M; Sharma A, 2022, 'Automating rainfall recording: Ensuring homogeneity when instruments change', Journal of Hydrology, 609, http://dx.doi.org/10.1016/j.jhydrol.2022.127758

Kim SSH; Hughes JD; Marshall LA; Petheram C; Sharma A; Vaze J; Crosbie RS, 2022, 'Modelling daily transmission losses in basin-scale river system models under changing hydrological regimes', Hydrological Processes, 36, http://dx.doi.org/10.1002/hyp.14625

Chen Y; Wang D; Liu D; Li B; Sharma A, 2022, 'Statistics in Hydrology', Water Switzerland, 14, http://dx.doi.org/10.3390/w14101571

Nury AH; Sharma A; Mehrotra R; Marshall L; Cordery I, 2022, 'Projected Changes in the Tibetan Plateau Snowpack Resulting From Rising Global Temperatures', Journal of Geophysical Research Atmospheres, 127, http://dx.doi.org/10.1029/2021JD036201

Wu X; Marshall L; Sharma A, 2022, 'Quantifying input uncertainty in the calibration of water quality models: Reordering errors via the secant method', Hydrology and Earth System Sciences, 26, pp. 1203 - 1221, http://dx.doi.org/10.5194/hess-26-1203-2022

Hettiarachchi S; Wasko C; Sharma A, 2022, 'Do Longer Dry Spells Associated With Warmer Years Compound the Stress on Global Water Resources?', Earth S Future, 10, http://dx.doi.org/10.1029/2021EF002392

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

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