Works on microwave remote sensing. To investigate sampling uncertainty in satellite-based precipitation using microwave remote sensing and its effects on hydrological fluxes.

My research focuses on improving the model predictions to quantify and understand the changes in the land surface due to climate change and anthropogenic activities. The uncertainty in the model is reduced by constraining the model with remote sensing observations using data assimilation technique

My area of interest is microwave remote sensing for atmospheric science applications. My research work revolves around the study of cloud microphysical properties and cloud-aerosol interaction in convective clouds using radar remote sensing.

My research focuses on the evaluation of land surface model coupled to community microwave emission model. Concentrates mainly on evaluating the brightness temperature generated using community microwave emission model, which can be used for land data assimilation to reduce the error in soil moisture simulation.

Information on availability of water is vital for proper planning, management, efficient utilization etc. of water resources for ecological sustainability. Inadequate numbers of gauging sites makes it difficult to account for surface water resources. Regional frequency analysis provide means for prediction of quantiles at locations with scarce gauging sites. The estimation in presence of non-stationarity and spatial dependence has been concerning and requires further insight.

I am working on probabilistic models for prediction of hydroclimatic extremes like heavy rainfall and floods in a changing climate. I am interested in understanding the behaviour of the extremes of hydrological variables under different modelling assumptions like stationarity, dependence etc

I work on quantifying the climate and catchment effects on streamflow using the Budyko framework.The Budyko framework is based on the hypothesis that the ratio of mean annual evapotranspiration to mean annual precipitation is a function of the ratio of mean annual potential evapotranspiration to mean annual precipitation. The total change in streamflow is calculated between the reference and the test period, further, the change in streamflow is decomposed into climate and catchment components using the Budyko framework.

Praveen has completed his Bachelors in Civil Engineering from Sir. C. R. Reddy College of Engineering, Eluru, Andhra Pradesh, India. He completed his Masters in Remote Sensing and GIS specialization from National Institute of Technology, Warangal, Telangana, India, his thesis was on Pixel Based Distributed Rainfall-Runoff Modelling Using Remote Sensing and GIS. Currently, working as a doctoral student in IIT Bombay, Mumbai, his research focuses on Spatio-temporal and Nonlinear Dimensional analysis of hydrologic data, Streamflow estimation using hydrologic modelling including reservoirs.

Evaluation of CMIP5 Simulations for Indian Monsoon and Their Sensitivity to Perturbed Conditions

Water-Food-Energy Nexus

Role of vegetation in mediating the water distribution between land and atmosphere and hence its impact on hydrology.

Hydroclimatic Service with improved land surface modeling

Seasonal Prediction of Indian Monsoon with spatial patterns. Predictability of Indian monsoon using data driven models.

One of my major research motives involve investigating uncertainties

in storm surge prediction along Indian Coast using ADCIRC( Advance Circulation) Model . The increased wind intensities and changes in the landfall location can alter storm surge characteristics in this region. Therefore, a better understanding of storm surge behaviour can be deduced by differentiating its behaviour at coastal locations and deep water locations via. hind-casting of past cyclones that have occurred in the Indian Sea, with particular focus on the Bay of Bengal.

Title: Improved Wind Stress Parameterisation in Storm Surge Modelling

AIM: To include breaking wave effect into the wave boundary layer model for the estimation of wind drag coefficient.

My research focuses on "Error and Uncertainty Modeling of Multi Satellite-based Precipitation Estimates (SPEs) over Indian Land Region". Work involves development of a statistical model for quantification of error and uncertainty in SPEs. Outcomes of the work would be useful for data provider for error and uncertainty quantification in SPEs.

My study focuses on estimating the current and future mass balance of few Himalayan glaciers through conceptual and data driven approaches using satellite remote sensing data and low altitude meteorological data. The outcomes of the study will give an idea about the health of the glaciers and also its response to climate change. This study also aims at generating a database for glacier mass balance for Western Himalayan glaciers, which is lacking at present.

My research focuses on the physical processes governing a glacier to estimate the current and future glacier volume in the Eastern Himalayas. This is to be done with the effective use of remote sensing data sets and techniques thus minimizing the need for tedious and challenging glacier field surveys. The end product of this research will serve various researchers, hydrologists and water resource planners to come out with a deeper understanding of glaciers behaviour and thereby leading to a more effective decision making of this remote and less studied fresh water reservoirs.

My research involves detailed analysis of snow melt, ice melt, rainfall-runoff contributions to river discharges for the present and future climate scenarios. Physically based models would be employed for the study in few Himalayan river basins. This research would also look into sources of uncertainty and uncertainty range in the hydrological estimates.

My doctoral research is about assimilating flood data from diverse sources like satellite remote sensing, aerial photographs, river gauging stations and crowd sourcing within a hydraulic model to improve real time flood forecasting accuracy

My research involves development of GIS based multi model Spatial Decision Support System (SDSS) for soil and water conservation. Considering the need for practical application, it is endeavoured to keep the developed SDSS simple, reliable and informative tool by including simple soil erosion models and modules for uncertainty analysis, watershed prioritization and conservation measures. The proposed system will be a very useful tool for policy makers, agricultural scientists and local stakeholders in making proper decision for watershed management activities.

My research work is about assessing the impact of climate change and land use/land cover change on drought vulnerability in Ethiopia using remote sensing data, field data and geographic information system techniques.

My work involves developing a multivariate approach for mapping and monitoring the Sea Surface Salinity near the Indian coastal areas using remote sensing data and methods.

My research explores how the physical growth of the city of Mumbai has translated into the betterment of Quality of Life (QoL) of the people; this is studied by comparing and relating the spatial metrics measured from the remotely sensed images of the city with the various domains of a QoL survey (that includes objective and subjective indicators) to be conducted. The outcome of this research will serve as a tool for the policy makers and planners to gauge the impact of their developmental activities on the QoL of the people.

Parameter Estimation of Aquifers Using Meshfree based Simulation and Swarm Intelligence Based Optimization Techniques

Physical Model Studies on Flow and Scour around Bridge Piers and Scour Protection Measures

Coastal effects of sea level rise and climate change impacts

Integrated Water Management for River Basin/Agricultural Watersheds Considering the Climate Change Impacts

Hydro-Meteorogical Regionalization of Watersheds for Prediction in Ungauged Basins

River basin scale hydrological impact analysis due to landuse and climate change

Experimental and numerical study of turbulent flow features and sediment transport around Complex Bridge Piers

Experimental Study of Turbulent flow characterictics and its interaction with bridge piers

Simulation of reactive transport in groundwater and contaminant source identification using meshfree based simulation and swarm intelligence based optimization techniques

Multi-Objective optimization approach is being employed
to solve the problem of Water Distribution Network design considering
the aspects of cost and reliability. In addition, the future water
demand and availability scenarios are considered.

An integrated hydrological and hydraulic modellin
approach is being employed for the risk assessment of a flood-prone
areas. Also, the potential of Near-real-time (NRT) satellite
precipitation products for flood warning are being evaluated.