| Hydrological concept formation inside long short-term memory (LSTM) networks T Lees, S Reece, F Kratzert, D Klotz, M Gauch, J De Bruijn, R Kumar Sahu, ... Hydrology and Earth System Sciences Discussions 2021, 1-37, 2021 | 89 | 2021 |
| Surrogate optimization of deep neural networks for groundwater predictions J Müller, J Park, R Sahu, C Varadharajan, B Arora, B Faybishenko, ... Journal of Global Optimization 81, 203-231, 2021 | 76 | 2021 |
| Impact of input feature selection on groundwater level prediction from a multi-layer perceptron neural network RK Sahu, J Müller, J Park, C Varadharajan, B Arora, B Faybishenko, ... Frontiers in Water 2, 573034, 2020 | 30 | 2020 |
| Long-term missing value imputation for time series data using deep neural networks J Park, J Müller, B Arora, B Faybishenko, G Pastorello, C Varadharajan, ... Neural Computing and Applications 35 (12), 9071-9091, 2023 | 29 | 2023 |
| An ensemble optimization framework for coupled design of hydropower contracts and real‐time reservoir operating rules RK Sahu, DB McLaughlin Water Resources Research 54 (10), 8401-8419, 2018 | 11 | 2018 |
| Hydro-economic modeling of water resources management challenges: Current applications and future directions JP Ortiz-Partida, AS Fernandez-Bou, M Maskey, JM Rodríguez-Flores, ... Water Economics and Policy 9 (01), e2340003, 2023 | 8 | 2023 |
| An assessment of water management measures for climate change adaptation of agriculture in Seewinkel RV Cotera, L Guillaumot, RK Sahu, C Nam, L Lierhammer, MM Costa Science of the Total Environment 885, 163906, 2023 | 7 | 2023 |
| Assimilation of multi-channel radiances in mesoscale models with an ensemble technique to improve track forecasts of Tropical cyclones R Chandrasekar, RK Sahu, C Balaji Journal of Earth System Science 131 (2), 83, 2022 | 6 | 2022 |
| Deep dive into global hydrologic simulations: Harnessing the power of deep learning and physics-informed differentiable models (δHBV-globe1. 0-hydroDL) D Feng, H Beck, J de Bruijn, RK Sahu, Y Satoh, Y Wada, J Liu, M Pan, ... Geoscientific Model Development Discussions 2023, 1-23, 2023 | 5 | 2023 |
| ISIMIP2b Simulation Data from the Global Water Sector (v1. 0) SN Gosling, HM Schmied, P Burek, J Chang, P Ciais, P Döll, S Eisner, ... ISIMIP Repository [data set] 10, 2023 | 3 | 2023 |
| The Multi‐scale Dynamics of Groundwater Depletion R Sahu, DB McLaughlin Water Resources Research, e2020WR029402, 2021 | 3 | 2021 |
| Optimal reservoir operation using stochastic model predictive control RK Sahu Massachusetts Institute of Technology, 2016 | 2 | 2016 |
| A Novel Integrated Hydro-Economic Model: Application to Water Stress Assessment and Mitigation in China D Wang, R Sahu, T Kahil, T Tang, K Hubacek | 1 | 2022 |
| WaterStressAT-Climate change induced water stress-participatory modeling to identify risks and opportunities in Austrian regions S Hanger-Kopp, S Birk, P Burek, L Guillaumot, M Jauck, T Kahil, ... | 1 | 2021 |
| Multi-agent real-time decision making in water resources systems RK Sahu Massachusetts Institute of Technology, 2018 | 1 | 2018 |
| Application of Hybrid Monte Carlo Algorithm in Heat Transfer SR Kumar, BK Reddy, C Balaji Journal of Heat Transfer 139 (8), 082004, 2017 | 1 | 2017 |
| Archetypal flow regime change classes as signatures of anthropogenic drivers of global streamflow alterations V Virkki, RK Sahu, M Smilovic, J Láng-Ritter, M Porkka, M Kummu EarthArXiv, 2024 | | 2024 |
| Data-driven assessment of drought impacts-exploring sectoral impacts at a subnational scale: a case study for Romania. D Fridman, R Sahu, E Politti, P Burek, B Willaarts, M Wens, ... EGU General Assembly Conference Abstracts, 7553, 2024 | | 2024 |
| The role of interacting social and institutional norms in stressed groundwater systems S Bhalla, JA Baggio, RK Sahu, T Kahil, J Tarhouni, R Brini, ... Journal of Environmental Management 356, 120389, 2024 | | 2024 |
| Statistical analysis of global river streamflow regime changes and their alignment with trends in human drivers V Virkki, RK Sahu, M Smilovic, J Láng-Ritter, M Porkka, M Kummu EGU24, 2024 | | 2024 |
Juliane MuellerNational Renewable Energy Lab在 nrel.gov 的电子邮件经过验证
