Items where IIASA Author is "Sahu, Reetik Kumar"

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Number of items: 11.


Bhalla, S., Baggio, J.A., Sahu, R.K. ORCID:, Kahil, T. ORCID:, Tarhouni, J., Brini, R. & Wildemeersch, M. ORCID: (2024). The role of interacting social and institutional norms in stressed groundwater systems. Journal of Environmental Management 356, e120389. 10.1016/j.jenvman.2024.120389.

Valencia, R., Guillaumot, L. ORCID:, Sahu, R.K. ORCID:, Nam, C., Lierhammer, L. & Máñez Costa, M. (2023). An assessment of water management measures for climate change adaptation of agriculture in Seewinkel. Science of the Total Environment 885, e163906. 10.1016/j.scitotenv.2023.163906.

Ortiz-Partida, J.P., Fernandez-Bou, A.S., Maskey, M., Rodríguez-Flores, J.M., Medellín-Azuara, J., Sandoval-Solis, S., Ermolieva, T., Kanavas, Z., Sahu, R.K. ORCID:, Wada, Y. ORCID: et al. (2023). Hydro-Economic Modeling of Water Resources Management Challenges: Current Applications and Future Directions. Water Economics and Policy 09 (01), e2340003. 10.1142/S2382624X23400039.

Park, J., Müller, J., Arora, B., Faybishenko, B., Pastorello, G., Varadharajan, C., Sahu, R. ORCID: & Agarwal, D. (2022). Long-term missing value imputation for time series data using deep neural networks. Neural Computing and Applications 35, 9071-9091. 10.1007/s00521-022-08165-6.

Chandrasekar, R., Sahu, R.K. ORCID: & Balaji, C. (2022). Assimilation of multi-channel radiances in mesoscale models with an ensemble technique to improve track forecasts of Tropical cyclones. Journal of Earth System Science 131 (2), e83. 10.1007/s12040-021-01798-6.

Lees, T., Reece, S., Kratzert, F., Klotz, D., Gauch, M., De Bruijn, J., Sahu, R.K. ORCID:, Greve, P., Slater, L. & Dadson, S.J. (2022). Hydrological concept formation inside long short-term memory (LSTM) networks. Hydrology and Earth System Sciences 26 (12), 3079-3101. 10.5194/hess-26-3079-2022.

Sahu, R.K. ORCID: & McLaughlin, D.B. (2021). The Multi‐Scale Dynamics of Groundwater Depletion. Water Resources Research 57 (12), e2020WR029402. 10.1029/2020WR029402.

Müller, J., Park, J., Sahu, R.K. ORCID:, Varadharajan, C., Arora, B., Faybishenko, B. & Agarwal, D. (2021). Surrogate optimization of deep neural networks for groundwater predictions. Journal of Global Optimization 81 (1), 203-231. 10.1007/s10898-020-00912-0.

Conference or Workshop Item

Wang, D., Sahu, R. ORCID:, Kahil, T. ORCID:, Tang, T. ORCID: & Hubacek, K. (2022). A Novel Integrated Hydro-Economic Model: Application to Water Stress Assessment and Mitigation in China. In: Systems Analysis for Reducing Footprints and Enhancing Resilience, 16-17 November, 2022, Vienna, Austria.

Hanger-Kopp, S., Birk, S., Burek, P. ORCID:, Guillaumot, L. ORCID:, Jauck, M., Kahil, T. ORCID:, Karabaczek, V., Lindinger, H., Kurshid, A.N., Offenzeller, M. et al. (2022). Distinguishing and analysing regional water stress in two Austrian regions using participatory modelling. In: Österreichischer Klimatag 2022, 20-22 April 2022.

Hanger-Kopp, S., Birk, S., Burek, P. ORCID:, Guillaumot, L. ORCID:, Jauck, M., Kahil, T. ORCID:, Karabaczek, V., Lindinger, H., Nauman Kurshid, A., Offenzeller, M et al. (2021). WaterStressAT - Climate change induced water stress - participatory modeling to identify risks and opportunities in Austrian regions. In: Österreichischer Klimatag 2021, 12-13 April 2021.

This list was generated on Wed Jun 12 21:15:53 2024 UTC.