Raj Mehrotra

Senior Research Fellow

Curriculum vitae for Raj Mehrotra

 

DR RAJ MEHROTRA

 
   

 

Water Research Centre, School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia

Tel: +612 9385 5140;          Fax +612 9385 6139;          email: raj.mehrotra@unsw.edu.au

 

Expertise

Rajeshwar Mehrotra (Raj) has been working at the Water Research Centre at UNSW, ranked 1st in Australia and 7th globally as per the Shanghai AWRU rankings. Raj continues to work in a very active research group focussing on statistical applications in hydrology and hydro-climatology with special focus on development and application of downscaling and bias correction approaches. Raj has developed many approaches and software for correction of systematic biases in climate model simulations, stochastic downscaling and generation of precipitation and evaporation sequences and has applied them in many projects in Australia and abroad.

 

Research contributions

  • Raj is widely recognized as one of the leading researchers on multivariate-multisite bias correction and multisite stochastic generation and downscaling, having published a majority of his journal papers in this area. He has found innovative to process climate data for use in hydrology and climate change related applications.
  • Raj has developed parametric and nonparametric (as well as their combinations) innovative approaches for stochastic generation and downscaling of daily rainfall at multiple locations and extend existing methods to represent variability across multiple temporal scales.
  • Raj is the lead developer of the Multivariate Bias Correction (MBC) and the Multisite Rainfall Downscaling (MRD) software, available for download and use from http://www.hydrology.unsw.edu.au/download.
  • Raj’s research has received support from many national and international funding agencies/research councils,
  • Visiting Academic, Kasetsart University, Bangkok, Thailand.

 

Projects and grants

  • Multivariate bias correction of regional climate simulations administered by the NSW Department of Industry, Planning and Environment (DPIE). This project undertakes a multivariate bias correction of, for example, temperature, precipitation, specific humidity, evaporation, surface pressure, and (u, v) wind speed over the 10km NARCliM domain. The correction uses observationally-based datasets (e.g., gridded data or reanalysis products). The multivariate bias correction considers the relationships between corrected variables.
  • A Bias correction research project funded by WaterNSW. The projected aimed at providing bias corrected rainfall and temperature simulations over the NSW valley catchments using CMIP5 GCMs.
  • ARC Linkage project on stochastic downscaling, partly funded by the Sydney Catchment Authority. The project involves stochastically downscaled sequences of rainfall, evaporation and temperature used as an input to a rainfall-runoff model to ass the water resources availability over the Sydney region.
  • Australian Rainfall and Runoff (ARR) Project 4: “Development, testing and validation of procedures for generating continuous rainfall sequences for all of Australia.” A new method for generating continuous (sub-daily) rainfall sequences at any location was developed and tested. The method is suitable for both gauged and ungauged locations, and therefore can be useful in supplementing historical data in data-sparse regions.
  • Research project funded jointly by the NSW Cabinet Office, Department of Environment and Climate Change, Sydney Water Corporation and Sydney Catchment Authority is about to finish. The project aims at evaluating the climate change and its impacts on supply and demand in Sydney. The study provides important insights into the potential impacts of climate change on Sydney’s predominantly rain- fed water supply system, and on Sydney’s future demand for urban water.
  • Research project with partners as the Indian Institute of Science, Bangalore, India, as part of the Australia-India Strategic Research Funds initiated by the previous federal government. The aim of this study is to assess and manage impacts of climate change on soil moisture, agricultural productivity and water management policies in an agricultural catchment in India.
  • An ARC funded research project on assessment of climate change, climate input errors and land-use change on soil-moisture and carbon-balance in a catchment simulation framework. This is an ambitious Linkage project that seeks to (a) develop a computationally efficient physically based catchment modeling system that can be used for simulation in ungauged catchments, (b) develop a procedure for specifying this modeling system to take account of errors in rainfall and evaporation inputs, and (c) use the system to simulate catchment soil moisture and carbon balance in a future climatic setting.
  • An ARC funded research project on Ensemble Modelling Framework for Prediction in Ungauged Catchments. This project seeks to develop methodologies for prediction in ungauged catchments that allow for a nonstationary rainfall runoff modeling system referred to as the Hierarchical Mixtures of Experts or HME. This modeling structure is being developed in a Bayesian framework using Markov Chain Monte Carlo (MCMC) techniques, using extensive daily rainfall, evaporation and flow data from catchments across Australia.
  • An ARC funded research project on Stochastic Rainfall Generation for design flow simulation. This project sought to develop methodologies for stochastic generation of continuous rainfall sequences for use in design flood estimation studies, thereby removing deficiencies in traditional design flood estimation methods where catchment antecedent conditions are assumed to remain stationary.
  • Bureau of Meteorology, Australia funded research project on CMIP5 decadal prediction for rainfall. The project aimed at investigating the predictive capability of CMIP5 decadal predictions for rainfall and other climate variables. 
  • Australia-India strategic research fund (AISRF) funded research project, ‘projecting environmental change in a warming world for semi-arid landscapes. The project seeks to use the decadal climate and the groundwater water projections as the basis of assessing the viability of meeting the current and the projected groundwater needs.
  • Development of a Multivariate Iterative Nested Bias Correction (MINBC) package for use by the Bureau of Meteorology, Australia. The aim of the project is to develop a multivariate nested bias correction approach to post process the GCM outputs for use in statistical downscaling. The aim here is to bias correct current and future climates time series of GCM simulated multiple variables in a way that the resulting post-processed series reproduces the important temporal as well as cross-dependence attributes as seen in the observed series.
  • Visiting researchers at Kasetsart University, Thailand to help and guide the research students in the development and application of multisite rainfall simulation model for use in the estimation of floods and droughts over different parts of the country.

 

Career-best and most relevant publications

Summary: H-Index 35 with 150 publications since PhD.

A few key papers

  • Hu H, Yang K, Sharma A, Mehrotra R. 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 (2020)
  • Kim S, Kim S, Mehrotra R, Sharma A. Predicting cyanobacteria occurrence using climatological and environmental controls Water Research 175 (2020)
  • Han X, Ouarda TBMJ, Rahman A, Haddad K, Mehrotra R, Sharma A. A Network Approach for Delineating Homogeneous Regions in Regional Flood Frequency Analysis Water Resources Research 56(3) (2020)
  • Nguyen, H., Mehrotra, R. & Sharma, A. Assessment of climate change impacts on reservoir storage reliability, resilience and vulnerability using a Multivariate Frequency Bias Correction approach. Water Resources Research, doi:10.1029/2019WR026022 (2020).
  • Mehrotra R, Sharma A. A Resampling Approach for Correcting Systematic Spatiotemporal Biases for Multiple Variables in a Changing Climate. Water Resources Research 55(1):754-770 (2019).
  • Choudhury, D., Mehrotra, R., Sharma, A., Sen Gupta, A., & Sivakumar, B. Effectiveness of CMIP5 decadal experiments for interannual rainfall prediction over Australia. Water Resources Research, 55, 7400– 7418. (2019).
  • Nguyen, H., Mehrotra, R. & Sharma, A. Correcting systematic biases across multiple atmospheric variables in the frequency domain. Climate Dynamics 52, 1283-1298, doi:10.1007/s00382-018-4191-6 (2019).
  • Wasko C, Lu WT, Mehrotra R. Relationship of extreme precipitation, dry-bulb temperature, and dew point temperature across Australia Environmental Research Letters 13(7) (2018).
  • Reshmidevi, T. V., Nagesh Kumar, D., Mehrotra, R. & Sharma, A. Estimation of the climate change impact on a catchment water balance using an ensemble of GCMs. Journal of Hydrology, doi:10.1016/j.jhydrol.2017.02.016 (2018).
  • Mehrotra, R., Johnson, F. & Sharma, A. A software toolkit for correcting systematic biases in climate model simulations. Environmental Modelling and Software 104, 130-152, doi:10.1016/j.envsoft.2018.02.010 (2018).
  • Nguyen, H., Mehrotra, R. & Sharma, A. Can the variability in precipitation simulations across GCMs be reduced through sensible bias correction? Climate Dynamics, 1-19, doi:10.1007/s00382-016-3510-z (2017).
  • Moalafhi, D. B., Sharma, A., Evans, J. P., Mehrotra, R. & Rocheta, E. Impact of biascorrected reanalysisderived lateral boundary conditions on WRF simulations. Journal of Advances in Modeling Earth Systems (2017).
  • Mehrotra R, Sharma A. A multivariate quantile-matching bias correction approach with auto- and cross-dependence across multiple time scales: implications for downscaling Journal of Climate 29(10):3519-3539 (2016).
  • Woldemeskel, F. M., Sharma, A., Sivakumar, B. & Mehrotra, R. Quantification of precipitation and temperature uncertainties simulated by CMIP3 and CMIP5 models. Journal of Geophysical Research-Atmospheres 121, 3-17, doi:10.1002/2015JD023719 (2016).
  • Sharma, A., Mehrotra, R., Li, J. & Jha, S. A programming tool for nonparametric system prediction using Partial Informational Correlation and Partial Weights. Environmental Modelling and Software 83, 271-275, doi:10.1016/j.envsoft.2016.05.021 (2016).
  • Mehrotra, R. & Sharma, A. A Multivariate Quantile-Matching Bias Correction Approach with Auto- and Cross-Dependence across Multiple Time Scales: Implications for Downscaling. Journal of Climate 29, 3519-3539 (2016).

 

Journal articles
add
Mehrotra R; Sharma A, 2021, 'A robust alternative for correcting systematic biases in multi-variable climate model simulations', Environmental Modelling and Software, vol. 139, http://dx.doi.org/10.1016/j.envsoft.2021.105019
2021
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, http://dx.doi.org/10.1061/(ASCE)WR.1943-5452.0001449
2021
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, vol. 48, http://dx.doi.org/10.1029/2021GL092953
2021
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, vol. 56, http://dx.doi.org/10.1029/2019WR025910
2020
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, vol. 56, http://dx.doi.org/10.1029/2019WR026022
2020
Kim S; Kim S; Mehrotra R; Sharma A, 2020, 'Predicting cyanobacteria occurrence using climatological and environmental controls', Water Research, vol. 175, pp. 115639 - 115639, http://dx.doi.org/10.1016/j.watres.2020.115639
2020
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, vol. 586, http://dx.doi.org/10.1016/j.jhydrol.2020.124893
2020
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, vol. 588, http://dx.doi.org/10.1016/j.jhydrol.2020.125009
2020
Han X; Mehrotra R; Sharma A, 2020, 'Measuring the spatial connectivity of extreme rainfall', Journal of Hydrology, vol. 590, http://dx.doi.org/10.1016/j.jhydrol.2020.125510
2020
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
2020
Cheevaprasert S; Mehrotra R; Thianpopirug S; Sriwongsitanon N, 2020, 'An evaluation of statistical downscaling techniques for simulating daily rainfall occurrences in the upper Ping river basin', Hydrology, vol. 7, pp. 1 - 26, http://dx.doi.org/10.3390/hydrology7030063
2020
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, vol. 55, pp. 7400 - 7418, http://dx.doi.org/10.1029/2018WR024462
2019
Nury AH; Sharma A; Marshall L; Mehrotra R, 2019, 'Characterising uncertainty in precipitation downscaling using a Bayesian approach', Advances in Water Resources, vol. 129, pp. 189 - 197, http://dx.doi.org/10.1016/j.advwatres.2019.05.018
2019
Nguyen H; Mehrotra R; Sharma A, 2019, 'Correcting systematic biases across multiple atmospheric variables in the frequency domain', Climate Dynamics, vol. 52, pp. 1283 - 1298, http://dx.doi.org/10.1007/s00382-018-4191-6
2019
Mehrotra R; Sharma A, 2019, 'A Resampling Approach for Correcting Systematic Spatiotemporal Biases for Multiple Variables in a Changing Climate', Water Resources Research, vol. 55, pp. 754 - 770, http://dx.doi.org/10.1029/2018WR023270
2019
Reshmidevi TV; Nagesh Kumar D; Mehrotra R; Sharma A, 2018, 'Estimation of the climate change impact on a catchment water balance using an ensemble of GCMs', Journal of Hydrology, vol. 556, pp. 1192 - 1204, http://dx.doi.org/10.1016/j.jhydrol.2017.02.016
2018
Oriani F; Mehrotra R; Mariethoz G; Straubhaar J; Sharma A; Renard P, 2018, 'Simulating rainfall time-series: how to account for statistical variability at multiple scales?', Stochastic Environmental Research and Risk Assessment, vol. 32, pp. 321 - 340, http://dx.doi.org/10.1007/s00477-017-1414-z
2018
Mehrotra R; Johnson F; Sharma A, 2018, 'A software toolkit for correcting systematic biases in climate model simulations', Environmental Modelling and Software, vol. 104, pp. 130 - 152, http://dx.doi.org/10.1016/j.envsoft.2018.02.010
2018
Khan MZK; Sharma A; Mehrotra R, 2018, 'Using all data to improve seasonal sea surface temperature predictions: A combination-based model forecast with unequal observation lengths', International Journal of Climatology, vol. 38, pp. 3215 - 3223, http://dx.doi.org/10.1002/joc.5494
2018
Wasko C; Lu WT; Mehrotra R, 2018, 'Relationship of extreme precipitation, dry-bulb temperature, and dew point temperature across Australia', Environmental Research Letters, vol. 13, http://dx.doi.org/10.1088/1748-9326/aad135
2018
Moalafhi DB; Sharma A; Evans JP; Mehrotra R; Rocheta E, 2017, 'Impact of bias-corrected reanalysis-derived lateral boundary conditions on WRF simulations', Journal of Advances in Modeling Earth Systems, vol. 9, pp. 1828 - 1846, http://dx.doi.org/10.1002/2017MS001003
2017
Choudhury D; Sen Gupta A; Sharma A; Mehrotra R; Sivakumar B, 2017, 'An Assessment of Drift Correction Alternatives for CMIP5 Decadal Predictions', Journal of Geophysical Research: Atmospheres, vol. 122, pp. 10282 - 10296, http://dx.doi.org/10.1002/2017JD026900
2017
Choudhury D; Sen Gupta A; Sharma A; Taschetto AS; Mehrotra R; Sivakumar B, 2017, 'Impacts of the tropical trans-basin variability on Australian rainfall', Climate Dynamics, vol. 49, pp. 1617 - 1629, http://dx.doi.org/10.1007/s00382-016-3405-z
2017
Khan MZK; Sharma A; Mehrotra R, 2017, 'Global seasonal precipitation forecasts using improved sea surface temperature predictions', Journal of Geophysical Research, vol. 122, pp. 4773 - 4785, http://dx.doi.org/10.1002/2016JD025953
2017
Nguyen H; Mehrotra R; Sharma A, 2017, 'Can the variability in precipitation simulations across GCMs be reduced through sensible bias correction?', Climate Dynamics, vol. 49, pp. 3257 - 3275, http://dx.doi.org/10.1007/s00382-016-3510-z
2017
Kiem AS; Johnson F; Westra S; van Dijk A; Evans JP; O’Donnell A; Rouillard A; Barr C; Tyler J; Thyer M; Jakob D; Woldemeskel F; Sivakumar B; Mehrotra R, 2016, 'Natural hazards in Australia: droughts', Climatic Change, vol. 139, pp. 37 - 54, http://dx.doi.org/10.1007/s10584-016-1798-7
2016
Mehrotra R; Sharma A, 2016, 'A multivariate quantile-matching bias correction approach with auto- and cross-dependence across multiple time scales: implications for downscaling', Journal of Climate, vol. 29, pp. 3519 - 3539, http://dx.doi.org/10.1175/JCLI-D-15-0356.1
2016
Choudhury D; Sharma A; Sen Gupta A; Mehrotra R; Sivakumar B, 2016, 'Sampling biases in CMIP5 decadal forecasts', Journal of Geophysical Research, vol. 121, pp. 3435 - 3445, http://dx.doi.org/10.1002/2016JD024804
2016
Woldemeskel FM; Sharma A; Sivakumar B; Mehrotra R, 2016, 'Quantification of precipitation and temperature uncertainties simulated by CMIP3 and CMIP5 models', Journal of Geophysical Research, vol. 121, pp. 3 - 17, http://dx.doi.org/10.1002/2015JD023719
2016
Sarhadi A; Burn DH; Johnson F; Mehrotra R; Sharma A, 2016, 'Water resources climate change projections using supervised nonlinear and multivariate soft computing techniques', Journal of Hydrology, vol. 536, pp. 119 - 132, http://dx.doi.org/10.1016/j.jhydrol.2016.02.040
2016
Nguyen H; Mehrotra R; Sharma A, 2016, 'Correcting for systematic biases in GCM simulations in the frequency domain', Journal of Hydrology, vol. 538, pp. 117 - 126, http://dx.doi.org/10.1016/j.jhydrol.2016.04.018
2016
Sharma A; Mehrotra R; Li J; Jha S, 2016, 'A programming tool for nonparametric system prediction using Partial Informational Correlation and Partial Weights', Environmental Modelling and Software, vol. 83, pp. 271 - 275, http://dx.doi.org/10.1016/j.envsoft.2016.05.021
2016
Woldemeskel FM; Sharma A; Mehrotra R; Westra S, 2016, 'Constraining continuous rainfall simulations for derived design flood estimation', Journal of Hydrology, vol. 542, pp. 581 - 588, http://dx.doi.org/10.1016/j.jhydrol.2016.09.028
2016
Bandil K; Singhal P; Sharma U; Hussain S; Basu S; Parashari A; Singh V; Sehgal A; Shivam A; Ahuja P; Bharadwaj M; Banerjee BD; Mehrotra R, 2016, 'Impacts of TNF-LTA SNPs/Haplotypes and Lifestyle Factors on Oral Carcinoma in an Indian Population', Molecular Diagnosis and Therapy, vol. 20, pp. 469 - 480, http://dx.doi.org/10.1007/s40291-016-0215-2
2016
Khan MZK; Sharma A; Mehrotra R; Schepen A; Wang QJ, 2015, 'Does improved SSTA prediction ensure better seasonal rainfall forecasts?', Water Resources Research, vol. 51, pp. 3370 - 3383, http://dx.doi.org/10.1002/2014WR015997
2015
Apurv T; Mehrotra R; Sharma A; Goyal MK; Dutta S, 2015, 'Impact of climate change on floods in the Brahmaputra basin using CMIP5 decadal predictions', Journal of Hydrology, vol. 527, pp. 281 - 291, http://dx.doi.org/10.1016/j.jhydrol.2015.04.056
2015
Mehrotra R; Li J; Westra S; Sharma A, 2015, 'A programming tool to generate multi-site daily rainfall using a two-stage semi parametric model', Environmental Modelling and Software, vol. 63, pp. 230 - 239, http://dx.doi.org/10.1016/j.envsoft.2014.10.016
2015
Mehrotra R; Sharma A, 2015, 'Correcting for systematic biases in multiple raw GCM variables across a range of timescales', Journal of Hydrology, vol. 520, pp. 214 - 223, http://dx.doi.org/10.1016/j.jhydrol.2014.11.037
2015
Choudhury D; Sharma A; Sivakumar B; Gupta AS; Mehrotra R, 2015, 'On the predictability of SSTA indices from CMIP5 decadal experiments', Environmental Research Letters, vol. 10, http://dx.doi.org/10.1088/1748-9326/10/7/074013
2015
Gragne AS; Alfredsen K; Sharma A; Mehrotra R, 2015, 'Recursively updating the error forecasting scheme of a complementary modelling framework for improved reservoir inflow forecasts', Journal of Hydrology, vol. 527, pp. 967 - 977, http://dx.doi.org/10.1016/j.jhydrol.2015.05.039
2015
Gragne AS; Sharma A; Mehrotra R; Alfredsen K, 2015, 'Improving real-time inflow forecasting into hydropower reservoirs through a complementary modelling framework', Hydrology and Earth System Sciences, vol. 19, pp. 3695 - 3714, http://dx.doi.org/10.5194/hess-19-3695-2015
2015
Wasko C; Pui A; Sharma A; Mehrotra R; Jeremiah E, 2015, 'Representing low-frequency variability in continuous rainfall simulations: A hierarchical random Bartlett Lewis continuous rainfall generation model', Water Resources Research, vol. 51, pp. 9995 - 10007, http://dx.doi.org/10.1002/2015WR017469
2015
Sharma A; Mehrotra R, 2014, 'An information theoretic alternative to model a natural system using observational information alone', Water Resources Research, vol. 50, pp. 650 - 660, http://dx.doi.org/10.1002/2013WR013845
2014
Woldemeskel FM; Sharma A; Sivakumar B; Mehrotra R, 2014, 'A framework to quantify GCM uncertainties for use in impact assessment studies', Journal of Hydrology, vol. 519, pp. 1453 - 1465, http://dx.doi.org/10.1016/j.jhydrol.2014.09.025
2014
Mehrotra R; Evans JP; Sharma A; Sivakumar B, 2014, 'Evaluation of downscaled daily rainfall hindcasts over Sydney, Australia using statistical and dynamical downscaling approaches', Hydrology Research, vol. 45, pp. 226 - 249, http://dx.doi.org/10.2166/nh.2013.094
2014
Khan MZK; Mehrotra R; Sharma A; Sankarasubramanian A, 2014, 'Global sea surface temperature forecasts using an improved multimodel approach', Journal of Climate, vol. 27, pp. 3505 - 3515, http://dx.doi.org/10.1175/JCLI-D-13-00486.1
2014
Chanda K; Maity R; Sharma A; Mehrotra R, 2014, 'Spatiotemporal variation of long-term drought propensity through reliability-resilience-vulnerability based Drought Management Index', Water Resources Research, vol. 50, pp. 7662 - 7676, http://dx.doi.org/10.1002/2014WR015703
2014
Mehrotra R; Sharma A; Bari M; Tuteja N; Amirthanathan G, 2014, 'An assessment of CMIP5 multi-model decadal hindcasts over Australia from a hydrological viewpoint', Journal of Hydrology, vol. 519, pp. 2932 - 2951, http://dx.doi.org/10.1016/j.jhydrol.2014.07.053
2014
Ojha R; Nagesh Kumar D; Sharma A; Mehrotra R, 2014, 'Assessing GCM convergence for India using the variable convergence score', Journal of Hydrologic Engineering, vol. 19, pp. 1237 - 1246, http://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0000888
2014
Mehrotra R; Sharma A; Kumar DN; Reshmidevi TV, 2013, 'Assessing future rainfall projections using multiple GCMS and a multi-site stochastic downscaling model', Journal of Hydrology, vol. 488, pp. 84 - 100, http://dx.doi.org/10.1016/j.jhydrol.2013.02.046
2013
Mehrotra R; Sharma A, 2012, 'An improved standardization procedure to remove systematic', Water Resources Research, vol. 48, pp. 1 - 8, http://dx.doi.org/10.1029/2012WR012446
2012
Woldemeskel FM; Sharma A; Sivakumar B; Mehrotra R, 2012, 'An error estimation method for precipitation and temperature', Journal of Geophysical Research-Atmospheres, vol. 117, pp. 1 - 13, http://dx.doi.org/10.1029/2012JD018062
2012
Mehrotra R; Westra SP; Sharma A; Srikanthan R, 2012, 'Continuous rainfall simulation: 2. A regionalized daily rainfall generation approach', Water Resources Research, vol. 48, pp. Article number: W01536, http://dx.doi.org/10.1029/2011WR010490
2012
Westra SP; Mehrotra R; Sharma A; Srikanthan R, 2012, 'Continuous rainfall simulation: 1. A regionalized subdaily disaggregation approach', Water Resources Research, vol. 48, pp. Article number: W01535, http://dx.doi.org/10.1029/2011WR010489
2012
Pui A; Sharma A; Mehrotra R; Sivakumar B; Jeremiah E, 2012, 'A comparison of alternatives for daily to sub-daily rainfall disaggregation', Journal of Hydrology, vol. 470-471, pp. 138 - 157, http://dx.doi.org/10.1016/j.jhydrol.2012.08.041
2012
Jeremiah E; Sisson S; Marshall L; Mehrotra R; Sharma A, 2011, 'Bayesian calibration and uncertainty analysis of hydrological models: A comparison of adaptive Metropolis and sequential Monte Carlo samplers', Water Resources Research, vol. 47, pp. W07547 (13pp), http://dx.doi.org/10.1029/2010WR010217
2011
Mehrotra R; Sharma A, 2011, 'Impact of atmospheric moisture in a rainfall downscaling framework for catchment-scale climate change impact assessment', International Journal of Climatology, vol. 31, pp. 431 - 450, http://dx.doi.org/10.1002/joc.2067
2011
Frost A; Charles S; Timbal B; Chiew FHS; Mehrotra R; Nguyen KC; Chandler RE; McGregor JL; Fu G; Kirono DGC; Fernandez E; Kent DM, 2011, 'A comparison of multi-site daily rainfall downscaling techniques under Australian conditions', Journal of Hydrology, vol. 408, pp. 1 - 18, http://dx.doi.org/10.1016/j.jhydrol.2011.06.021
2011
Mehrotra R; Sharma A, 2010, 'Development and Application of a Multisite Rainfall Stochastic Downscaling Framework for Climate Change Impact Assessment', Water Resources Research, vol. 46, pp. 1 - 17, http://dx.doi.org/10.1029/2009WR008423
2010
Mehrotra R; Sharma A, 2009, 'Evaluating spatio-temporal representations in daily rainfall sequences from three stochastic multi-site weather generation approaches', Advances in Water Resources, vol. 32, pp. 948 - 962, http://dx.doi.org/10.1016/j.advwatres.2009.03.005
2009
Xeusen L; Bende W; Mehrotra R; Sharma A; Guoli W, 2009, 'Consideration of Trends in Evaluating Inter-basin Water Transfer Alternatives within a Fuzzy Decision Making Framework', Water Resources Management, vol. 23, pp. 3207 - 3220, http://dx.doi.org/10.1007/s11269-009-9430-5
2009
Frost A; Mehrotra R; Sharma A; Srikanthan R, 2009, 'Comparison of statistical downscaling techniques for multisite daily rainfall conditioned on atmospheric variables for the Sydney region', Australian Journal of Water Resources, vol. 13, pp. 1 - 15, http://dx.doi.org/10.1080/13241583.2009.11465356
2009
2009, 'A comparison of alternatives for daily to sub-daily rainfall disaggregation', 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences, Proceedings, pp. 3535 - 3541
2009
Mehrotra R; Sharma A, 2007, 'A semi-parametric model for stochastic generation of multi-site daily rainfall exhibiting low-frequency variability', Journal of Hydrology, vol. 335, pp. 180 - 193, http://dx.doi.org/10.1016/j.jhydrol.2006.11.011
2007
Mehrotra R; Sharma A, 2007, 'Preserving low-frequency variability in generated daily rainfall sequences', Journal of Hydrology, vol. 345, pp. 102 - 120, http://dx.doi.org/10.1016/j.jhydrol.2007.08.003
2007
Sharma A; Mcmahon T, 2007, 'A nonparametric stochastic downscaling framework for daily rainfall at multiple locations', Journal of Hydrologic Engineering, vol. 11, pp. 222 - 222, http://dx.doi.org/10.1029/2005JD006637
2007
Cordery I; Mehrotra R; Nazemosadat MJ, 2007, 'How reliable are standard indicators of stationarity?', Stochastic Environmental Research and Risk Assessment, vol. 21, pp. 765 - 771, http://dx.doi.org/10.1007/s00477-006-0088-8
2007
Mehrotra R; Srikanthan R; Sharma A, 2006, 'A comparison of three stochastic multi-site precipitation occurrence generations', Journal of Hydrology, vol. 331, pp. 280 - 292, http://dx.doi.org/10.1016/j.jhydrol.2006.05.016
2006
Mehrotra R; Sharma A, 2006, 'A nonparametric stochastic downscaling framework for daily rainfall at multiple locations', Journal of Geophysical Research, vol. 111, pp. 1 - 16, http://dx.doi.org/10.1029/2005JD006637
2006
Mehrotra R; Sharma A, 2006, 'Conditional resampling of hydrologic time series using multiple predictor variables: A K-nearest neighbour approach', Advances in Water Resources, vol. 29, pp. 987 - 999, http://dx.doi.org/10.1016/j.advwatres.2005.08.007
2006
Mehrotra R; Sharma A, 2005, 'A nonparametric nonhomogeneous hidden Markov model for downscaling of multisite daily rainfall occurrences', Journal of Geophysical Research, vol. 110, pp. 1 - 13, http://dx.doi.org/10.1029/2004JD005677
2005
Mehrotra R; Sharma A; Cordery I, 2004, 'Comparison of two approaches for downscaling synoptic atmospheric patterns to multisite precipitation occurrence', Journal of Geophysical Research, vol. 109, http://dx.doi.org/10.1029/2004JD004823
2004
Mehrotra R, 1999, 'Sensitivity of runoff, soil moisture and reservoir design to climate change in central Indian river basins', Climatic Change, vol. 42, pp. 725 - 757, http://dx.doi.org/10.1023/A:1005496932343
1999
Mehrotra R; Singh RD, 1999, 'Impact of record length on the water availability estimates', Journal of the Institution of Engineers (India): Civil Engineering Division, vol. 80, pp. 117 - 122
1999
Mehrotra R; Singh RD, 1998, 'The influence of model structure on the efficiency of rainfall-runoff models: A comparative study for some catchments of Central India', Water Resources Management, vol. 12, pp. 325 - 341, http://dx.doi.org/10.1023/A:1008052009729
1998
Mehrotra R; Singh RD, 1998, 'Spatial disaggregation of rainfall data', Hydrological Sciences Journal, vol. 43, pp. 91 - 102, http://dx.doi.org/10.1080/02626669809492104
1998
Mehrotra R, 1997, 'Performance versus Complexity in Conceptual Rainfall-runoff Modelling : Application to Some Arid, Semiarid Watersheds of Gujarat State', Journal of the Institution of Engineers (India): Civil Engineering Division, vol. 78, pp. 84 - 88
1997
Mehrotra D; Mehrotra R, 1995, 'Climate change and hydrology with emphasis on the indian subcontinent', Hydrological Sciences Journal, vol. 40, pp. 231 - 242, http://dx.doi.org/10.1080/02626669509491406
1995
Conference Papers
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Mehrotra R; Sharma A, 2020, 'A semi-parametric stochastic model for simultaneous stochastic simulation of daily precipitation amounts at multiple sites', in MODSIM 2005 - International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making, Proceedings, pp. 1874 - 1880
2020
Maheswaran S; Sharma A; Mehrotra R, 2018, 'Climate change impact assessment for WaterNSW infrastructure strategy', in 2018 Hydrology and Water Resources Symposium, HWRS 2018: Water and Communities, Engineers Australia, Melbourne, pp. 505 - 509, presented at 2018 Hydrology and Water Resources Symposium, Melbourne, 03 December 2018 - 06 December 2018, https://search.informit.com.au/documentSummary;dn=125461500298047;res=IELENG
2018
Westra S; Evans J; Mehrotra R; Sharma A, 2012, 'Changes to sub-daily rainfall patterns in a future climate', in Proceedings of the 34th Hydrology and Water Resources Symposium, HWRS 2012, pp. 561 - 570
2012
Westra S; Mehrotra R; Sharma A; Srikanthan R, 2011, 'Continuous simulation of rainfall at ungauged locations - A nonparametric disaggregation approach', in Proceedings of Hydrology and water resources, 34th IAHR World Congress, Engineers Australia, Canberra, Australia, pp. 458 - 465, presented at Hydrology and Water resources, 34th IAHR World Congress, Brisbane, http://search.informit.com.au/documentSummary;dn=317743354289971;res=IELENG
2011
Pui A; Sharma A; Mehrotra R, 2009, 'A comparison of alternatives for daily to sub-daily rainfall disaggregation', in Proceedings of the 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation, MODSIM and IMAC, Australia, pp. 138 - 157, presented at 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation, Cairns, Australia, 13 July 2009 - 17 July 2009, http://dx.doi.org/10.1016/j.jhydrol.2012.08.041
2009
Mehrotra R; Sharma A, 2009, 'Assessing rainfall availability over the Sydney region in a future climate using stochastic downscaling', in Proceedings of the 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation, MODSIM and IMAC, Australia, pp. 3948 - 3954, presented at 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation, Cairns, Australia, 13 July 2009 - 17 July 2009, http://www.mssanz.org.au/modsim09/F12/kragt.pdf
2009
Mehrotra R; Sharma A, 2009, 'Catchment specification using mixture of models', in Proceedings of H2O 09: 32nd Hydrology and Water Resources Symposium, Newcastle : Adapting to Change, Engineers Australia, Canberra ACT, pp. 528 - 536, presented at 32nd Hydrology and Water Resources Symposium, Newcastle, http://search.informit.com.au/documentSummary;dn=753406541002418;res=IELENG
2009
Mehrotra R; Sharma A, 2009, 'Assessing rainfall availability over the Sydney region in a future climate using stochastic downscaling', in 18th World IMACS Congress and MODSIM 2009 - International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences, Proceedings, pp. 3948 - 3954
2009
Pui A; Sharma A; Mehrotra R, 2009, 'A comparison of alternatives for daily to sub-daily rainfall disaggregation', in 18th World IMACS Congress and MODSIM 2009 - International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences, Proceedings, pp. 3535 - 3541
2009
Frost A; Mehrotra R; Sharma A; Srikanthan R, 2008, 'Comparison of statistical downscaling techniques for multi-site daily rainfall conditional on atmospheric variables for the Sydney region', in Proceedings of Water Down Under 2008, Water Down Under 2008, Adelaide, presented at Water Down Under 2008, Adelaide, 14 April 2008 - 17 April 2008
2008
Mehrotra R; Sharma A, 2008, 'A multisite stochastic downscaling framework for climate change impact assessment', in Proceedings of Water Down Under 2008, Water Down Under 2008, Adelaide, presented at Water Down Under 2008, Adelaide, 14 April 2008 - 17 April 2008
2008
Mehrotra R; Sharma A, 2007, 'A multisite stochastic downscaling model for daily rainfall occurrence with long term persistence', in MODSIM 2007: International Congress on Modelling and Simulation, University of Canterbury, Christchurch, NZ, pp. 1485 - 1491, presented at MODSIM 2007: International Congress on Modelling and Simulation, University of Canterbury, Christchurch, NZ, 10 December 2007 - 13 December 2007
2007
Mehrotra R; Sharma A, 2006, 'A stochastic daily rainfall occurence generator with higher time scale dependence', in 30th Hydrology and Water Resources Symposium, 30th Hydrology and Water Resources Symposium, Launceston, presented at 30th Hydrology and Water Resources Symposium, Launceston, 04 December 2006 - 07 December 2006
2006
Mehrotra R; Srikanthan R; Sharma A, 2005, 'Comparison of three approaches for stochastic simulation of multi-site precipitation occurrence', in 29th Hydrology and Water Resources Symposium, 29th Hydrology and Water Resources Symposium, Canberra, presented at 29th Hydrology and Water Resources Symposium, Canberra, 21 February 2005 - 23 February 2005
2005
Mehrotra R; Sharma A, 2005, 'A k-nearest neighbour approach for downscaling atmospheric circulation indicators to multi-site precipitation occurrence', in 29th Hydrology and Water Resources Symposium, 29th Hydrology and Water Resources Symposium, Canberra, presented at 29th Hydrology and Water Resources Symposium, Canberra, 21 February 2005 - 23 February 2005
2005
Mehrotra R; Sharma A, 2005, 'A semi-parametric stochastic model for simultaneous stochastic simulation of daily preciptation amount at multiple sites', in MODSIM 2005: International Congress on Modelling and Simulation, Melbourne, pp. 1874 - 1880, presented at MODSIM 2005: International Congress on Modelling and Simulation, Melbourne, 12 December 2005 - 15 December 2005
2005
Mehrotra R; Singh M; Gupta A, 2005, 'Reliability of Toluidine blue application and oral brush biopsy in oral epithelial cell dysplasia and squamous cell carcinoma', in ORAL ONCOLOGY, ELSEVIER SCIENCE BV, Crete, GREECE, pp. 101 - 102, presented at 10th International Congress on Oral Cancer, Crete, GREECE, 19 April 2005 - 24 April 2005, http://dx.doi.org/10.1016/S1744-7895(05)80240-8
2005
Cordery I; Mehrotra R; Sharma A; Nazemodat MJ, 2004, 'Hydrological Models in a Non Stationary Environment', in British Hydrological Society International Conference, British Hydrological Society International Conference, London, England, presented at British Hydrological Society International Conference, London, England
2004
Mehrotra R; Sharma A; Cordery I, 2003, 'Stochastic downscaling of rainfall for use in hydrologic studies', in MODSIM 2003: International Congress on Modelling and Simulation, UNIV WESTERN AUSTRALIA, Townsville, Qld, pp. 94 - 99, presented at MODSIM 2003: International Congress on Modelling and Simulation, Townsville, Qld, 14 July 2003 - 17 July 2003, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000189470800016&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a
2003
Mehrotra R; Cordery I; Sharma A; Nazemosadat MJ, 2003, 'Evaluating non-stationarity in daily rainfall', in Advanced Macromolecular and Supramolecular Materials and Processes, Kluwer Academic/Plenum Publishers, USA, presented at 28th International Hydrology and Water Resources Symposium, Wollongong, NSW, 10 November 2003 - 13 November 2003
2003
Book Chapters
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Sharma A; Mehrotra R, 2013, 'Rainfall Generation', in Rainfall: State of the Science, pp. 215 - 246, http://dx.doi.org/10.1029/2010GM000973
2013
Sharma A; Mehrotra R, 2010, 'Rainfall generation', in Geophysical Monograph Series, pp. 215 - 246, http://dx.doi.org/10.1029/2010GM000973
2010
Huda S; Mehrotra R; Sharma A, 2010, 'Adaptation strategies in coping with climate change impacts for improved crop health and sustainable food production', in Islam KR; Mustafizur Rahman AHM; Faiz SMA; Sivakumar M; Lal R (ed.), Climate Change and Food Security in South Asia, Springer, pp. 325 - 342, http://dx.doi.org/10.1007/978-90-481-9516-9_19
2010
Conference Posters
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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'
2010
Theses / Dissertations
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Mehrotra R, 2006, Multisite rainfall stochastic downscaling for climate change impact assessment
2006
  • Multivariate bias correction of regional climate simulations administered by the NSW Department of Industry, Planning and Environment (DPIE). This project undertakes a multivariate bias correction of, for example, temperature, precipitation, specific humidity, evaporation, surface pressure, and (u, v) wind speed over the 10km NARCliM domain. The correction uses observationally-based datasets (e.g., gridded data or reanalysis products). The multivariate bias correction considers the relationships between corrected variables.
  • A Bias correction research project funded by WaterNSW. The projected aimed at providing bias corrected rainfall and temperature simulations over the NSW valley catchments using CMIP5 GCMs.
  • ARC Linkage project on stochastic downscaling, partly funded by the Sydney Catchment Authority. The project involves stochastically downscaled sequences of rainfall, evaporation and temperature used as an input to a rainfall-runoff model to ass the water resources availability over the Sydney region.
  • Australian Rainfall and Runoff (ARR) Project 4: “Development, testing and validation of procedures for generating continuous rainfall sequences for all of Australia.” A new method for generating continuous (sub-daily) rainfall sequences at any location was developed and tested. The method is suitable for both gauged and ungauged locations, and therefore can be useful in supplementing historical data in data-sparse regions.
  • Research project funded jointly by the NSW Cabinet Office, Department of Environment and Climate Change, Sydney Water Corporation and Sydney Catchment Authority is about to finish. The project aims at evaluating the climate change and its impacts on supply and demand in Sydney. The study provides important insights into the potential impacts of climate change on Sydney’s predominantly rain- fed water supply system, and on Sydney’s future demand for urban water.
  • Research project with partners as the Indian Institute of Science, Bangalore, India, as part of the Australia-India Strategic Research Funds initiated by the previous federal government. The aim of this study is to assess and manage impacts of climate change on soil moisture, agricultural productivity and water management policies in an agricultural catchment in India.
  • An ARC funded research project on assessment of climate change, climate input errors and land-use change on soil-moisture and carbon-balance in a catchment simulation framework. This is an ambitious Linkage project that seeks to (a) develop a computationally efficient physically based catchment modeling system that can be used for simulation in ungauged catchments, (b) develop a procedure for specifying this modeling system to take account of errors in rainfall and evaporation inputs, and (c) use the system to simulate catchment soil moisture and carbon balance in a future climatic setting.
  • An ARC funded research project on Ensemble Modelling Framework for Prediction in Ungauged Catchments. This project seeks to develop methodologies for prediction in ungauged catchments that allow for a nonstationary rainfall runoff modeling system referred to as the Hierarchical Mixtures of Experts or HME. This modeling structure is being developed in a Bayesian framework using Markov Chain Monte Carlo (MCMC) techniques, using extensive daily rainfall, evaporation and flow data from catchments across Australia.
  • An ARC funded research project on Stochastic Rainfall Generation for design flow simulation. This project sought to develop methodologies for stochastic generation of continuous rainfall sequences for use in design flood estimation studies, thereby removing deficiencies in traditional design flood estimation methods where catchment antecedent conditions are assumed to remain stationary.
  • Bureau of Meteorology, Australia funded research project on CMIP5 decadal prediction for rainfall. The project aimed at investigating the predictive capability of CMIP5 decadal predictions for rainfall and other climate variables. 
  • Australia-India strategic research fund (AISRF) funded research project, ‘projecting environmental change in a warming world for semi-arid landscapes. The project seeks to use the decadal climate and the groundwater water projections as the basis of assessing the viability of meeting the current and the projected groundwater needs.
  • Development of a Multivariate Iterative Nested Bias Correction (MINBC) package for use by the Bureau of Meteorology, Australia. The aim of the project is to develop a multivariate nested bias correction approach to post process the GCM outputs for use in statistical downscaling. The aim here is to bias correct current and future climates time series of GCM simulated multiple variables in a way that the resulting post-processed series reproduces the important temporal as well as cross-dependence attributes as seen in the observed series.