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Integrating a calibrated groundwater flow model with error-correcting data-driven models to improve predictions
Authors:Yonas K Demissie  Albert J Valocchi  Barbara S Minsker  Barbara A Bailey
Institution:1. Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 205 N. Mathews, Urbana, IL 61801, USA;2. Department of Mathematics and Statistic, San Diego University, 5500 Campanile Dr., San Diego, CA 92182, USA;1. Department of Irrigation & Reclamation Engineering, Faculty of Agricultural Engineering & Technology, College of Agriculture & Natural Resources, University of Tehran, Daneshkadeh St., Karaj, Tehran, Iran;2. Department of Land, Air & Water Resources, Department of Civil & Environmental Engineering, and Department of Biological & Agricultural Engineering, University of California, 139 Veihmeyer Hall, Davis, CA 95616-8628, USA;1. Civil and Environmental Engineering Faculty, Tarbiat Modares University, PO Box 14115-397, Tehran, Iran;2. Department of Civil Engineering, Sharif University of Technology, PO Box 11155-9313, Tehran, Iran;3. National Centre for Groundwater Research & Training, College of Science & Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia 5001, Australia;1. School of Civil, Environmental and Mining Engineering, The University of Adelaide, Adelaide, SA 5005, Australia;2. Department of Environment, Water and Natural Resources, GPO Box 2384, Adelaide, SA 5001, Australia;1. Center for Subsurface Modeling (CSM), Institute for Computational Engineering and Sciences (ICES), University of Texas at Austin, TX, USA;2. Institute of Petroleum Engineering (IPE), Heriot-Watt University, Edinburgh Campus, Edinburgh, EH14 1AS, Scotland, UK;3. Department of Earth Sciences and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia;1. Center for Applied Geoscience, University of Tübingen, Tübingen, Germany;1. CSIRO Land and Water, GPO Box 2583, Brisbane, QLD 4001, Australia;2. CSIRO Land and Water, PMB 2, Glen Osmond, SA 5064, Australia;3. CSIRO Data61, GPO Box 2583, Brisbane, QLD 4001, Australia;4. CSIRO Data61, GPO Box 1700, Canberra, ACT 2601, Australia
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