Surrogate optimization of deep neural networks for groundwater predictions von Müller, Juliane, Park, Jangho, Sahu, Reetik, Varadharajan, Charuleka, Arora, Bhavna, Faybishenko, Boris, Agarwal, Deborah

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Hydrological concept formation inside long short-term memory (LSTM) networks von Lees, Thomas, Reece, Steven, Kratzert, Frederik, Klotz, Daniel, Gauch, Martin, De Bruijn, Jens, Kumar Sahu, Reetik, Greve, Peter, Slater, Louise, Dadson, Simon J

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An assessment of water management measures for climate change adaptation of agriculture in Seewinkel von Valencia Cotera, Rodrigo, Guillaumot, Luca, Sahu, Reetik-Kumar, Nam, Christine, Lierhammer, Ludwig, Máñez Costa, María

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The role of interacting social and institutional norms in stressed groundwater systems von Bhalla, Sophie, Baggio, Jacopo A., Sahu, Reetik-Kumar, Kahil, Taher, Tarhouni, Jamila, Brini, Rahma, Wildemeersch, Matthias

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Impact of Input Feature Selection on Groundwater Level Prediction From a Multi-Layer Perceptron Neural Network von Sahu, Reetik Kumar, Müller, Juliane, Park, Jangho, Varadharajan, Charuleka, Arora, Bhavna, Faybishenko, Boris, Agarwal, Deborah

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Archetypal flow regime change classes and their associations with anthropogenic drivers of global streamflow alterations von Virkki, Vili, Sahu, Reetik Kumar, Smilovic, Mikhail, Láng-Ritter, Josias, Porkka, Miina, Kummu, Matti

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The Multi‐Scale Dynamics of Groundwater Depletion von Sahu, Reetik Kumar, McLaughlin, Dennis B.

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An Ensemble Optimization Framework for Coupled Design of Hydropower Contracts and Real‐Time Reservoir Operating Rules von Sahu, Reetik Kumar, McLaughlin, Dennis B.

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Long-term missing value imputation for time series data using deep neural networks von Park, Jangho, Müller, Juliane, Arora, Bhavna, Faybishenko, Boris, Pastorello, Gilberto, Varadharajan, Charuleka, Sahu, Reetik, Agarwal, Deborah

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Assimilation of multi-channel radiances in mesoscale models with an ensemble technique to improve track forecasts of Tropical cyclones von Chandrasekar, R, Sahu, Reetik Kumar, Balaji, C

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Deep dive into hydrologic simulations at global scale: harnessing the power of deep learning and physics-informed differentiable models ( δ HBV-globe1.0-hydroDL) von Feng, Dapeng, Beck, Hylke, de Bruijn, Jens, Sahu, Reetik Kumar, Satoh, Yusuke, Wada, Yoshihide, Liu, Jiangtao, Pan, Ming, Lawson, Kathryn, Shen, Chaopeng

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Hydro-Economic Modeling of Water Resources Management Challenges: Current Applications and Future Directions von Ortiz-Partida, J. Pablo, Fernandez-Bou, Angel Santiago, Maskey, Mahesh, Rodríguez-Flores, José M., Medellín-Azuara, Josué, Sandoval-Solis, Samuel, Ermolieva, Tatiana, Kanavas, Zoe, Sahu, Reetik Kumar, Wada, Yoshihide, Kahil, Taher

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Long-Term Missing Value Imputation for Time Series Data Using Deep Neural Networks von Park, Jangho, Muller, Juliane, Arora, Bhavna, Faybishenko, Boris, Pastorello, Gilberto, Varadharajan, Charuleka, Sahu, Reetik, Agarwal, Deborah

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Data for "Archetypal flow regime change classes and their associations with anthropogenic drivers of global streamflow alterations" von Virkki, Vili, Sahu, Reetik Kumar, Smilovic, Mikhail, Láng-Ritter, Josias, Porkka, Miina, Kummu, Matti

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Surrogate Optimization of Deep Neural Networks for Groundwater Predictions von Mueller, Juliane, Park, Jangho, Sahu, Reetik, Varadharajan, Charuleka, Arora, Bhavna, Faybishenko, Boris, Agarwal, Deborah

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A Blueprint for Resilience von Lombana Cordoba, Camilo, Mair, Raimund, Fenwick, Crystal, Sahu, Reetik Kumar, Willaarts, Barbara Anna, Fridman, Dor, Joseph, Julian, Smilovic, Mikhail, Kahil, Tamir

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Long-Term Missing Value Imputation for Time Series Data Using Deep Neural Networks von Park, Jangho, Muller, Juliane, Arora, Bhavna, Faybishenko, Boris, Pastorello, Gilberto, Varadharajan, Charuleka, Sahu, Reetik, Agarwal, Deborah

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ISIMIP3b Simulation Data from the Global Water Sector von Gosling, Simon N., Müller Schmied, Hannes, Burek, Peter, Guillaumot, Luca, Hanasaki, Naota, Kou-Giesbrecht, Sian, Otta, Kedar, Sahu, Reetik-Kumar, Schewe, Jacob

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ISIMIP3b Simulation Data from the Global Water Sector von Gosling, Simon N., Müller Schmied, Hannes, Bradley, Anna, Burek, Peter, Gedney, Nicola, Grillakis, Manolis, Guillaumot, Luca, Hanasaki, Naota, Ito, Akihiko, Kou-Giesbrecht, Sian, Koutroulis, Aristeidis, Nishina, Kazuya, Otta, Kedar, Sahu, Reetik-Kumar, Satoh, Yusuke, Schewe, Jacob

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Surrogate Optimization of Deep Neural Networks for Groundwater Predictions von Mueller, Juliane, Park, Jangho, Sahu, Reetik, Varadharajan, Charuleka, Arora, Bhavna, Faybishenko, Boris, Agarwal, Deborah

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