Publications

​​Peer-Reviewed Journal Articles
15 Roy, T. and H. Gupta (2020), How certain are our uncertainty bounds? Accounting for sample variability in Monte Carlo-based uncertainty estimates, accepted in Environmental Modeling and Software.
14 Meira-Neto, A. A., T. Roy, G.-Y. Niu, S. Tyler, and P. A. Troch (2020), Enhanced temperature sensitivity of streamflow from snow-aridity interactions, accepted in Communications Earth and Environment (Nature Research Journal).
13 Meira-Neto, A. A., T. Roy, P. T. S. Oliveira, P. A. Troch (2020), An aridity index-based formulation of streamflow components, Water Resources Research, 56(9), doi:10.1029/2020WR027123.
12 Roy, T., X. He, P. Lin, H. Beck, C. Castro, and E. F. Wood (2020), Global evaluation of seasonal precipitation and temperature forecasts from NMME, Journal of Hydrometeorology, 21(11), doi:10.1175/JHM-D-19-0095.1.
11 Roy, T., J. Valdés, A. Serrat-Capdevila, M. Durcik, E. Demaria, R. Valdés-Pineda, and H. Gupta (2020), Detailed Overview of the Multimodel Multiproduct Streamflow Forecasting Platform, Journal of Applied Water Engineering and Research, doi:10.1080/23249676.2020.1799442.
10 Blöschl, G. et al. (2019), Twenty-three Unsolved Problems in Hydrology (UPH) – a community perspective, Hydrological Sciences Journal, 64(10), 1141-1158, doi:10.1080/02626667.2019.1620507.
9 Beck, H. E., M. Pan, T. Roy, G. P. Weedon, F. Pappenberger, A. I. J. M. van Dijk, G. J. Huffman, R. F. Adler, and E. F. Wood (2019), Daily evaluation of 26 precipitation datasets using Stage-IV gauge-radar data for the CONUS, Hydrology and Earth Systems Sciences, 23, 207–224, doi:10.5194/hess-23-207-2019.
8 Roy, T., A. J. Martinez, J. E. H. Estrada, Y. Zhang, F. Dominguez, A. Berg, M. Ek, and E. F. Wood (2019), Role of moisture transport and recycling in characterizing droughts: Perspectives from two recent US droughts and the CFSv2 system, Journal of Hydrometeorology, 20, 139-154, doi:10.1175/JHM-D-18-0159.1.
7 Roy, T., J. B. Valdés, B. Lyon, E. M. C. Demaria, A. Serrat-Capdevila, H. V. Gupta, R. Valdés-Pineda, and M. Durcik (2018), Assessing hydrological impacts of short-term climate change in the Mara River basin of East Africa, Journal of Hydrology, 566, 818–829, doi:10.1016/j.jhydrol.2018.08.051.
6 Roy, T., A. Serrat-Capdevila, J. Valdes, M. Durcik, and H. Gupta (2017), Design and implementation of an operational multimodel multiproduct real-time probabilistic streamflow forecasting platform, Journal of Hydroinformatics, 19(6), 911-919, doi:10.2166/hydro.2017.111.
5 Jain, A., and T. Roy (2017), Evaporation modeling using neural networks for assessing the self-sustainability of a water body, Lakes and Reservoirs: Research and Management, 22, 123-133, doi:10.1111/lre.12175.
4 Roy, T., H. V. Gupta, A. Serrat-Capdevila, and J. B. Valdes (2017), Using satellite-based evapotranspiration estimates to improve the structure of a simple conceptual rainfall-runoff model, Hydrology and Earth System Sciences, 21(2), 879–896, doi:10.5194/hess-21-879-2017.
3 Roy, T., A. Serrat-Capdevila, H. Gupta, and J. Valdes (2017), A platform for probabilistic Multimodel and Multiproduct Streamflow Forecasting, Water Resources Research, 53, 376-399, doi:10.1002/2016WR019752.
2 Roy, T., N. Schütze, J. Grundmann, M. Brettschneider, and A. Jain (2016), Optimal groundwater management using state-space surrogate models: A case study for an arid coastal region, Journal of Hydroinformatics, 18(4), 666-686, doi:10.2166/hydro.2016.086.
1 Troch, P. A., T. Lahmers, A. Meira, R. Mukherjee, J. W. Pederson, T. Roy, and R. Valdés-Pineda (2015), Catchment Co-evolution: A useful framework for improving predictions of hydrological change?, Water Resources Research, 51, 4903-4922, doi:10.1002/2015WR017032.

Manuscripts under Review
3 Aiyelokun, O., Q. B. Pham, O. Aiyelokun, N. T. T. Linh, T. Roy, and T. C. Yang (2020), Effectiveness of Integrating Ensemble-Based Feature Selection and Novel Gradient Boosted Trees in Runoff Prediction, under review in Hydrological Sciences Journal.
2 Almagro, A., P. T. S. Oliveira, A. A. Meira Neto, T. Roy, and P. Troch (2020), CABra: a novel large-sample dataset for Brazilian catchments, Hydrology and Earth Systems Sciences Discussions, doi.org/10.5194/hess-2020-521.
1 Mai, J., B. A. Tolson, H. Shen, É. Gaborit, V. Fortin, N. Gasset, H. Awoye, T. A. Stadnyk, L. M. Fry, E. A. Bradley, F. Seglenieks, A. G. Temgoua, D. G. Princz, S. Gharari, A. Haghnegahdar, M. E. Elshamy, S. Razavi, M. Gauch, J. Lin, X. Ni, Y. Yuan, M. McLeod, N. Basu, R. Kumar, O. Rakovec, L. Samaniego, S. Attinger, N. K. Shrestha, P. Daggupati, T. Roy, S. Wi, T. Hunter, and J. R. Craig (2020), The Great Lakes Runoff Intercomparison Project Phase 3: Lake Erie (GRIP-E), under review in Journal of Hydrologic Engineering.
Other Publications
2 Troch, P. A., R. Dwivedi, T. Liu, A. Meira-Neto, T. Roy, R. Valdés-Pineda, M. Durcik, S. Arciniega-Esparza, and J. A. Breña-Naranjo (2018), Catchment-scale groundwater recharge and vegetation water use efficiency, Hydrology and Earth Systems Sciences Discussions, doi:10.5194/hess-2018-449.
1 Schütze, N., and T. Roy (2014), Fast neural network surrogates for complex groundwater flow models, Paper 411, International Conference on Hydroinformatics, Aug 17-21, New York. 

Conference Presentations
28 Doshi, S., M. G. Valentín, and T. Roy (2020), Surface water and sewer network interface with the inlets, First International Conference on Urban Water Interfaces (UWI), Sep 22-24, Berlin. 
27 Neto, A. A. M., T. Roy, P. T. S. Oliveira, and P. A. A. Troch (2019), A Budyko-type formulation for baseflow and direct runoff, AGU Fall Meeting, Dec 9-13, San Francisco.
26 Beck, H. E., M. Pan, T. Roy, G. P. Weedon, F. Pappenberger, A. I. J. M. van Dijk, G. J. Huffman, R. F. Adler, and E. F. Wood (2019), Daily evaluation of 26 precipitation datasets using Stage-IV gauge-radar data for the CONUS, EGU General Assembly, Apr 7-12, Vienna.
25 Beck, H., M. Pan, T. Roy, and E. F. Wood (2018), Evaluation of 27 precipitation datasets using Stage-IV gauge-radar data for the CONUS, AGU Fall Meeting, Dec 10-14, Washington, D.C. 
24 Roy, T., P. Dimitriadis, T. Iliopoulou, D. Koutsoyiannis, E. F. Wood ‎(2018), Effects of Hurst-Kolmogorov Dynamics in Intensity-Duration-Frequency Curves, AGU Fall Meeting, Dec 10-14, Washington, D.C.  
23 Troch, P. A., A. A. Meira-Neto, T. Roy, and R. Valdés-Pineda (2018), Climate-based Formulation for Long-term Catchment-scale Baseflow and Direct Runoff, AGU Fall Meeting, Dec 10-14, Washington, D.C.  
22 Roy, T., J. B. Valdes, B. Lyon, E. M. C. Demaria, R. Valdés-Pineda, A. Serrat-Capdevila, M. Durcik, and H. V. Gupta (2017), Short-term climate change impacts on Mara basin hydrology, AGU Fall Meeting, Dec 11-15, New Orleans. 
21 Troch, P., R. Dwivedi, A. A. Meira-Neto, R. Valdés-Pineda, and T. Roy (2017), Catchment-scale groundwater recharge and vegetation water use efficiency, AGU Fall Meeting, Dec 11-15, New Orleans.
20 Rushi, B. R., W. L. Ellenburg, E. C. Adams, A. Flores, A. S. Limaye, R. Valdés-Pineda, T. Roy, J. B. Valdés, F. Mithieu, and S. Omondi (2017), Bias Correction of Satellite Precipitation Products (SPPs) using a User-friendly Tool: A Step in Enhancing Technical Capacity, AGU Fall Meeting, Dec 11-15, New Orleans.
19 Roy, T., J. B. Valdes, A. Serrat-Capdevila, H. V. Gupta, B. Lyon, and M. Durcik (2017), Comparison of two bias correction schemes in the context of climate change impacts assessment in the Mara River basin, EarthWeek Research Symposium, Mar 27-31, University of Arizona, Tucson.
18 Roy, T., H. Gupta, A. Serrat-Capdevila, and J. B. Valdes (2016), Using satellite based actual evapotranspiration estimates to improve streamflow forecasting, AGU Fall Meeting, Dec 12-16, San Francisco.
17 Alemayehu T., T. Roy, A. Serrat-Capdevila, A. van Griensven, and J. Valdes (2016), Simulating streamflow using bias-corrected multiple satellite rainfall products in the Tekeze basin, Ethiopia, AGU Fall Meeting, Dec 12-16, San Francisco.
16 Roy, T., H. Gupta, A. Serrat-Capdevila, and J. Valdes (2016), Improving streamflow forecasting using satellite based ET, Arizona Hydrological Society Annual Symposium, Sep 14-17, Tucson.
15 Roy, T., V. Baker, K. Hirschboeck, and J. Duan (2016), Channel changes and their potential impacts on flood behavior of the Rillito Creek, Tucson, Arizona Hydrological Society Annual Symposium, Sep 14-17, Tucson.
14 Roy, T., A. Serrat-Capdevila, J. Valdes, H. Gupta, E. Demaria, and M. Durcik (2016), A benchmark approach for real-time streamflow monitoring and forecasting, Galileo Circle Scholar Reception, Apr 20, University of Arizona, Tucson.
13 Roy, T., A. Serrat-Capdevila, H. Gupta, J. Valdes, M. Durcik, and  E. Demaria (2016), Probabilistic real-time streamflow forecasting in African basins, EarthWeek Research Symposium, Mar 31-Apr 1, University of Arizona, Tucson.
12 Roy, T., A. Serrat-Capdevila, H. Gupta, J. B. Valdes, E. Demaria, and M. Durcik (2016), An improved streamflow forecasting platform for better decision making, WRRC Annual Conference, Mar 21, Tucson.
11 Roy, T., T. Lahmers, A. Meira, R. Mukherjee, J. W. Pederson, R. Valdés-Pineda, T. Yoshida, and P. A. Troch (2015), Catchment Co-evolution: A useful framework for improving predictions of hydrological change?, AGU Fall Meeting, Dec 14-18, San Francisco.
10 Roy, T., A. Serrat-Capdevila, H. Gupta, and J. B. Valdes (2015), Streamflow Forecasting using Satellite Products: A Benchmark Approach. Can We Reduce Uncertainty by using Multiple Products and Multiple Models?, AGU Fall Meeting, Dec 14-18, San Francisco.
9 Serrat-Capdevila, A., J. Valdes, S. Wi, T. Roy, J. Roberts, and F. Robertson (2015), Seasonal Streamflow Forecasts for African Basins, AGU Fall Meeting, Dec 14-18, San Francisco.
8 Alemayehu, T., T. Roy, A. Serrat-Capdevila, A. van Griensven, J. Valdes, and W. Bauwens (2015), Value of bias-corrected satellite rainfall products in SWAT simulations and comparison with other models in the Mara basin, AGU Fall Meeting, Dec 14-18, San Francisco.
7 Roy, T., A. Serrat-Capdevila, J. Valdes, and H. Gupta (2015), Can we make better predictions by merging multiple models’ forecasts?, Arizona Hydrological Society Annual Symposium, Sep 16-19, Phoenix.
6 Roy, T., T. Lahmers, M. Tso, and H. Gupta (2015), SPSM: A physically-based snowpack accounting model, Arizona Hydrological Society Annual Symposium, Sep 16-19, Phoenix.
5 Roy, T., A. Serrat-Capdevila, H. Gupta, and J. Valdes (2015), Estimating uncertainties in streamflow forecasts using a Bayesian multi-model and multi-product approach, UCOWR/NIWR/CUAHSI Annual Conference, Jun 16-18, Henderson.
4 Roy, T., A. Serrat-Capdevila, J. B. Valdes, H. V. Gupta, E. M. Demaria, and M. Durcik (2015), Near-real-time streamflow monitoring and forecasting along with the estimation of uncertainties in a multi-model multi-product platform, EarthWeek Research Symposium, Apr 7-11, University of Arizona, Tucson.
3 Roy, T., A. Serrat-Capdevila, J. B. Valdes, M. Durcik, H. V. Gupta, and R. Mukherjee (2014), Multi-model and multi-product streamflow forecasting in the African basins, EarthWeek Research Symposium, Apr 8-11, University of Arizona, Tucson.
2 Serrat-Capdevila, A., J. B. Valdes, T. Roy, R. Mukherjee, M. Durcik, M. Merino, R. Valdes, and H. Gupta (2013), A multi-model real time forecasting prototype system in the Mara Basin (Kenya/Tanzania) in the Lake Victoria Watershed, AGU Fall Meeting, Dec 9-13, San Francisco.
1 Schütze, N., T. Roy, M. Brettschneider, and J. Grundmann (2013), Optimal groundwater management using surrogate models: a case study for an arid coastal region, Geophysical Research Abstracts, vol. 15, p. 12457, EGU General Assembly, Apr 7-14, Vienna.