Research Fields:

• Hydrological modelling
• Soil moisture data assimilation
• Coupled land-surface - atmospheric modelling
• Remote sensing and GIS applications in hydrology
• Error characterization, error correction of satellite precipitation

Research Project:

• Cosmic sense: investigating the exchange of water between atmosphere, hydrosphere and biosphere and its dynamic feedback mechanism (DFG)

Models and Tools:

SWAT, Noah-MP, WRF-Noah-MP-Hydro

Data Assimilation Research Testbed (DART)

QGIS, ArcGIS, ERDAS Imagine, ENVI, GRASS

Selected Publications:

Patil A. A. and R. Ramsankaran, 2018. Improved Streamflow Simulations by Coupling SMAR in EnKFbased Hydrological Data Assimilation Framework, Advances in Water Resources, 121, pp. 173-188, DOI: https://doi.org/10.1016/j.advwatres.2018.08.010

Patil A. A. and R. Ramsankaran, 2017. Improving Streamflow Simulations and Forecasting Performance of SWAT Model by Assimilating Remotely Sensed Soil Moisture Observations, Journal of Hydrology, 555, pp. 683-696. DOI: https://doi.org/10.1016/j.jhydrol.2017.10.058