Commit b593b0c8 authored by Delaigue Olivier's avatar Delaigue Olivier
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### Upcoming
- Althoff D., Rodrigues L.N. & Bazame H.C. (2021). Uncertainty quantification for hydrological models based on neural networks: the dropout ensemble. Stochastic Environmental Research and Risk Assessment. doi: [10.1007/s00477-021-01980-8](https://doi.org/10.1007/s00477-021-01980-8)
- Astagneau P.C., Bourgin F., Andréassian V. & Perrin C. (2021). When does a parsimonious model fail to simulate floods? Learning from the seasonality of model bias. Hydrological Sciences Journal. doi: [10.1080/02626667.2021.1923720](https://doi.org/10.1080/02626667.2021.1923720)
- Astagneau P.C., Thirel G., Delaigue O., Guillaume J.H.A., Parajka J., Brauer C.C., et al. (2020). Hydrology modelling R packages: a unified analysis of models and practicalities from a user perspective. Hydrology and Earth System Sciences Discussions 2020, 1–48. doi: [10.5194/hess-2020-498](https://doi.org/10.5194/hess-2020-498)
- Ayzel G., Kurochkina L., Abramov D. & Zhuravlev S. (2021). Development of a Regional Gridded Runoff Dataset Using Long Short-Term Memory (LSTM) Networks. Hydrology 8, 6. doi: [10.3390/hydrology8010006](https://doi.org/10.3390/hydrology8010006)
- Ayzel G., Kurochkina L. & Zhuravlev S. (2020). The influence of regional hydrometric data incorporation on the accuracy of gridded reconstruction of monthly runoff. Hydrological Sciences Journal, 1–12. doi: [10.1080/02626667.2020.1762886](https://doi.org/10.1080/02626667.2020.1762886)
......@@ -107,6 +108,7 @@ output:
- Gnann S.J., Coxon G., Woods R.A., Howden N.J.K. & McMillan H.K. (2021). TOSSH: A Toolbox for Streamflow Signatures in Hydrology. Environmental Modelling & Software 138, 104983. doi: [10.1016/j.envsoft.2021.104983](https://doi.org/10.1016/j.envsoft.2021.104983)
- Guilpart E., Espanmanesh V., Tilmant A. & Anctil F. (2020). A Robust calibration/validation protocol of a hydrological model using hidden Markov states. Hydrology and Earth System Sciences Discussions 2020, 1–22. doi: [10.5194/hess-2020-596](https://doi.org/10.5194/hess-2020-596)
- Jeantet A., Henine H., Chaumont C., Collet L., Thirel G. & Tournebize J. (2021). Robustness of a parsimonious subsurface drainage model at the French national scale. Hydrology and Earth System Sciences Discussions 2021, 1–33. doi: [10.5194/hess-2021-168](https://doi.org/10.5194/hess-2021-168)
- Mercado-Bettín D., Clayer F., Shikhani M., Moore T.N., Frías M.D., Jackson-Blake L., et al. (2021). Forecasting water temperature in lakes and reservoirs using seasonal climate prediction. Water Research, 117286. doi: [10.1016/j.watres.2021.117286](https://doi.org/10.1016/j.watres.2021.117286)
- Nguyen H., Mehrotra R. & Sharma A. (2020). Assessment of Climate Change Impacts on Reservoir Storage Reliability, Resilience, and Vulnerability Using a Multivariate Frequency Bias Correction Approach. Water Resources Research 56. doi: [10.1029/2019WR026022](https://doi.org/10.1029/2019WR026022)
- Nicolle P., Andréassian V., Royer-Gaspard P., Perrin C., Thirel G., Coron L., et al. (2021). Technical Note – RAT: a Robustness Assessment Test for calibrated and uncalibrated hydrological models. Hydrology and Earth System Sciences Discussions 2021, 1–22. doi: [10.5194/hess-2021-147](https://doi.org/10.5194/hess-2021-147)
- Piazzi G., Thirel G., Perrin C. & Delaigue O. (2021). Sequential Data Assimilation for Streamflow Forecasting: Assessing the Sensitivity to Uncertainties and Updated Variables of a Conceptual Hydrological Model at Basin Scale. Water Resources Research 57. doi: [10.1029/2020WR028390](https://doi.org/10.1029/2020WR028390)
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