In our Group, we mainly focus on unraveling complex dynamics in the hydrologic and climatic systems using a suite of nonlinear, non-stationary methods. We, as a group, strongly believe that natural systems are highly complex, with processes intertwined on multiple spatial and temporal scales. Our group attempts to unravel these complex processes/feedbacks/connections for reliable modeling and forecasting. Our group has developed novel methods and metrics for identifying, characterizing, and quantifying complexity in natural processes. The applications of the studies from the group range from real-time flood forecasting to precipitation forecasting with an emphasis on extreme events, drought monitoring, improved hydrologic modeling, and climatic downscaling.
Apart from these, we are also excited to work on understanding the intrinsic complexity of human interactions on hydrologic and climate systems, surface water groundwater interactions, feasibility of interlinking of rivers, and attribution studies for change in hydrologic behavior, prediction in ungaued basins.
Students looking for post doc, PhD and Research Associate Positions in any of the topics related to our research interests can write me along with your CV.