I work in the broad research area of Hydroclimatology and Water Resources Engineering.
Specific Research Interests include:
i) Hydroclimatic Teleconnection: Large Scale Coupled Circulation Patterns and Indian Summer Monsoon Rainfall (ISMR), Time-Invariant and Time-Varying Approaches.
ii) Modelling for Climate Change Impacts Assessment: Effect of climate change on hydrology and water resources, Hydrological Systems in a Changing Environment, Bias correction and downscaling.
iii) Analysis of Hydroclimatic Extremes: Spatio-temporal change in rainfall extremes, Analysis and hydroclimatic modeling of droughts, Probable Maximum Precipitation.
iv) Sea Level Rise: Hydroclimatic modelling of local Sea Level Rise, Coastal vulnerability and future impacts.
v) Statistical Methods: Time series analysis and forecasting, Copula theory in hydroclimatic analysis, Graphical Modelling, Probabilistic prediction and uncertainty quantification.
vi) Remote Sensing Applications in Hydrology: Application of remote sensing for soil moisture assessment.
vii) Artificial Intelligence and Machine Learning: Application of Support Vector Machines (SVM), Artificial Neural Network (ANN), Genetic Algorithm (GA), Evolutionary Optimizer, Deep Learning (DL) etc. in hydroclimatology
Statistical Methods in Hydrology and Hydroclimatology by Maity R. - (2018)
Global climate shift in 1970s causes a significant worldwide increase in precipitation extremes by Sarkar S., Maity R. Scientific Reports, Nature Publishing Group 11 - (2021)
Long-lead Prediction of ENSO Modoki Index using Machine Learning algorithms by Pal M., Maity R. , Ratnam J. V., Nonaka M. , Behera S. K. Scientific Reports, Nature Publishing Group 10 - (2020)
Long-term simulation of daily rainfall across India: Performance of cumulus convection schemes in regional climate model during southwest and northeast monsoon by Dutta R., Sunanda N., Patra A., Maity R. Atmospheric Research 259 - (2021)
Bias correction of zero-inflated RCM precipitation fields: A copula-based scheme for both mean and extreme by Maity R., Suman M. , Laux P. , Kunstmann H. Journal of Hydrometeorology 20 595-611 (2019)
Potential of Deep Learning in Drought Assessment by Extracting Information from Hydrometeorological Precursors by Maity R., Khan M. I., Sarkar S. , Dutta R. , Maity S. S., Pal M. , Chanda K. Journal of Water and Climate Change - (Accepted/In-Press)
Hybrid deep learning approach for multi-step-ahead daily rainfall prediction using GCM simulations by Khan M., Maity R. IEEE Access 8 52774-52784 (2020)
Southward shift of precipitation extremes over south Asia: Evidences from CORDEX data by Suman M., Maity R. Scientific Reports, Nature Publishing Group 10 - (2020)
Temporal evolution of hydroclimatic teleconnection and long-lead prediction of Indian summer monsoon rainfall using time varying model by Dutta R., Maity R. Scientific Reports, Nature Publishing Group 8:10778 - (2018)
Improvement of Temporal Resolution (~weekly to daily) of SAR based High Spatial Resolution Surface Soil Moisture Estimates SAC, AHMEDABAD
Assessment of Extreme Hydrological Events in a Changing Climate Department of Science and Technology(DST)
Vulnerability and Risk Assessment due to Various Environmental Drivers in a Climate Change Scenario over Eastern India Department of Science and Technology, Climate Change Programme (SPLICE)
Area of Research: Hydroclimatic analysis of extreme phenomena
Mohd Imran Khan
Area of Research: Hydrologic extremes and climate change
Area of Research: Graphical modelling approach in multivariate hydroclimatic analysis
Area of Research: Analysis and modelling of hydroclimatic extremes
Subhra Sekhar Maity
Area of Research: Climate change impacts on hydrology
Ashesh Rudra Paul
Area of Research: Impact of climate extremes on water resources
Sushree Sangita Dash
Area of Research: Impact of climate extremes on agricultural yields