Ashutosh Sharma
Ashutosh Sharma
Assistant Professor, Department of Hydrology, IIT Roorkee
Verified email at - Homepage
Cited by
Cited by
Probabilistic evaluation of vegetation drought likelihood and its implications to resilience across India
S Jha, J Das, A Sharma, B Hazra, MK Goyal
Global and planetary change 176, 23-35, 2019
Assessment of ecosystem resilience to hydroclimatic disturbances in India
A Sharma, MK Goyal
Global change biology 24 (2), e432-e441, 2018
Assessment of drought trend and variability in India using wavelet transform
A Sharma, MK Goyal
Hydrological Sciences Journal 65 (9), 1539-1554, 2020
Assessment of the changes in precipitation and temperature in Teesta River basin in Indian Himalayan Region under climate change
A Sharma, MK Goyal
Atmospheric Research 231, 104670, 2020
District-level assessment of the ecohydrological resilience to hydroclimatic disturbances and its controlling factors in India
A Sharma, MK Goyal
Journal of Hydrology 564, 1048-1057, 2018
Assessment of the impacts of climatic variability and anthropogenic stress on hydrologic resilience to warming shifts in Peninsular India
J Sinha, A Sharma, M Khan, MK Goyal
Scientific reports 8 (1), 13833, 2018
Comparative assessment of SWAT model performance in two distinct catchments under various DEM scenarios of varying resolution, sources and resampling methods
MK Goyal, VK Panchariya, A Sharma, V Singh
Water resources management 32, 805-825, 2018
A fuzzy c-means approach regionalization for analysis of meteorological drought homogeneous regions in western India
MK Goyal, A Sharma
Natural hazards 84, 1831-1847, 2016
Transferring Hydrologic Data Across Continents–Leveraging Data‐Rich Regions to Improve Hydrologic Prediction in Data‐Sparse Regions
K Ma, D Feng, K Lawson, WP Tsai, C Liang, X Huang, A Sharma, C Shen
Water Resources Research 57 (5), e2020WR028600, 2021
Projection of hydro-climatological changes over eastern Himalayan catchment by the evaluation of RegCM4 RCM and CMIP5 GCM models
V Singh, A Sharma, MK Goyal
Hydrology Research 50 (1), 117-137, 2019
Bayesian network model for monthly rainfall forecast
A Sharma, MK Goyal
2015 IEEE International Conference on Research in Computational Intelligence …, 2015
Assessment of future water provisioning and sediment load under climate and LULC change scenarios in a peninsular river basin, India
M Khan, A Sharma, MK Goyal
Hydrological sciences journal 64 (4), 405-419, 2019
Prediction of flow rate of karstic springs using support vector machines
MK Goyal, A Sharma, KL Katsifarakis
Hydrological Sciences Journal 62 (13), 2175-2186, 2017
Bayesian network for monthly rainfall forecast: a comparison of K2 and MCMC algorithm
A Sharma, MK Goyal
International Journal of Computers and Applications 38 (4), 199-206, 2016
A comparison of three soft computing techniques, Bayesian regression, support vector regression, and wavelet regression, for monthly rainfall forecast
A Sharma, MK Goyal
Journal of Intelligent Systems 26 (4), 641-655, 2017
Regional sustainable development of renewable natural resources using Net Primary Productivity on a global scale
S Dubey, A Sharma, VK Panchariya, MK Goyal, RY Surampalli, TC Zhang
Ecological Indicators 127, 107768, 2021
Critical Risk Indicators (CRIs) for the electric power grid: a survey and discussion of interconnected effects
JP Che-Castaldo, R Cousin, S Daryanto, G Deng, MLE Feng, RK Gupta, ...
Environment Systems and Decisions 41, 594-615, 2021
Remote Sensing and GIS Applications in Sustainability
MK Goyal, A Sharma, RY Surampalli
Sustainability: Fundamentals and Applications, 605-626, 2020
Regionalization of drought prediction
MK Goyal, A Sharma
Handbook of Drought and Water Scarcity, 253-278, 2017
Transferring hydrologic data across continents--leveraging US data to improve hydrologic prediction in other countries
K Ma, D Feng, K Lawson, WP Tsai, C Liang, X Huang, A Sharma, C Shen
Authorea Preprints, 2022
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