Tirthankar Roy

发表

Design and implementation of an operational multimodel multiproduct real-time probabilistic streamflow forecasting platform

Juan B. Valdés, Hoshin V. Gupta, Tirthankar Roy, 2017 .

Advancing Hydrologic Process Understanding Across Scales Using New Data Sets and Methods III Posters

Peter A. Troch, Paulo Tarso Sanches de Oliveira, Tirthankar Roy, 2019 .

Bias Correction of Satellite Precipitation Products (SPPs) using a User-friendly Tool: A Step in Enhancing Technical Capacity

Ashutosh Limaye, Tirthankar Roy, Africa Flores, 2017 .

Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples

Ali Behrangi, Tirthankar Roy, Uwe Ehret, 2021, Entropy.

Natural Hazards Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science

Tirthankar Roy, Sanjib Sharma, Rocky Talchabhadel, 2021, Earth and Space Science.

How certain are our uncertainty bounds? Accounting for sample variability in Monte Carlo-based uncertainty estimates

Hoshin V. Gupta, Tirthankar Roy, 2021, Environ. Model. Softw..

Daily evaluation of 26 precipitation datasets using Stage-IV gauge-radar data for the CONUS

Florian Pappenberger, Eric F. Wood, Robert F. Adler, 2018, Hydrology and Earth System Sciences.

A platform for probabilistic Multimodel and Multiproduct Streamflow Forecasting

Juan B. Valdés, Hoshin Vijai Gupta, Tirthankar Roy, 2017 .

Evaporation modelling using neural networks for assessing the self‐sustainability of a water body

Ashu Jain, Tirthankar Roy, Tirthankar Roy, 2017 .

Catchment coevolution: A useful framework for improving predictions of hydrological change?

Peter A. Troch, Tirthankar Roy, Jonas Wied Pedersen, 2015 .