Special issue | Frontiers in the application of Bayesian approaches in water quality modelling

Special issue | Frontiers in the application of Bayesian approaches in water quality modelling

Editor(s): Miriam Glendell, Ibrahim Alameddine, Lorenz Ammann, Fabrizio Fenicia, Ann van Griensven, and James E. Sample More information

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09 Feb 2021
Assessing inter-annual variability in nitrogen sourcing and retention through hybrid Bayesian watershed modeling
Jonathan W. Miller, Kimia Karimi, Arumugam Sankarasubramanian, and Daniel R. Obenour
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-52,https://doi.org/10.5194/hess-2021-52, 2021
Revised manuscript under review for HESS (discussion: final response, 4 comments)
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12 Jan 2021
A Bayesian approach to understanding the key factors influencing temporal variability in stream water quality: a case study in the Great Barrier Reef catchments
Shuci Liu, Dongryeol Ryu, J. Anugs Webb, Anna Lintern, Danlu Guo, David Waters, and Andrew W. Western
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-681,https://doi.org/10.5194/hess-2020-681, 2021
Revised manuscript under review for HESS (discussion: final response, 4 comments)
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12 Nov 2020
Quantifying input uncertainty in the calibration of water quality models: reshuffling errors via the secant method
Xia Wu, Lucy Marshall, and Ashish Sharma
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-563,https://doi.org/10.5194/hess-2020-563, 2020
Preprint under review for HESS (discussion: final response, 6 comments)
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10 Sep 2020
3D multiple point geostatistical simulation of joint subsurface redox and geological architectures
Rasmus Bødker Madsen, Hyojin Kim, Anders Juhl Kallesøe, Peter B. E. Sandersen, Troels Norvin Vilhelmsen, Thomas Mejer Hansen, Anders Vest Christiansen, Ingelise Møller, and Birgitte Hansen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-444,https://doi.org/10.5194/hess-2020-444, 2020
Revised manuscript accepted for HESS (discussion: closed, 4 comments)
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