Commit bc084b9e authored by Delaigue Olivier's avatar Delaigue Olivier
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refactor(Publications): update a reference in the 'Articles' section

Refs: 2
parent 4092f49d
......@@ -115,7 +115,6 @@ output:
- Henine H., Jeantet A., Chaumont C., Chelil S., Lauvernet C. & Tournebize J. (2021). Coupling of a subsurface drainage model with a soil reservoir model to simulate drainage discharge and drain flow start. Agricultural Water Management, 107318. doi: [10.1016/j.agwat.2021.107318](https://doi.org/10.1016/j.agwat.2021.107318)
- Horton P., Schaefli B. & Kauzlaric M. (2021). Why do we have so many different hydrological models? A review based on the case of Switzerland. WIREs Water, e1574. doi:[10.1002/wat2.1574](https://doi.org/10.1002/wat2.1574)
- Hunter J., Thyer M., McInerney D. & Kavetski D. (2021). Achieving high-quality probabilistic predictions from hydrological models calibrated with a wide range of objective functions. Journal of Hydrology 603, 126578. doi: [10.1016/j.jhydrol.2021.126578](https://doi.org/10.1016/j.jhydrol.2021.126578)
- Jackson-Blake L.A., Clayer F., de Eyto E., French A., Frías M.D., Mercado-Bettín D., et al. (2021). Opportunities for seasonal forecasting to support water management outside the tropics. Hydrology and Earth System Sciences Discussions 2021, 1–22. doi: [10.5194/hess-2021-443](https://doi.org/10.5194/hess-2021-443)
- McDowell R.W., Simpson Z.P., Ausseil A.G., Etheridge Z. & Law R. (2021). The implications of lag times between nitrate leaching losses and riverine loads for water quality policy. Scientific Reports 11, 16450. doi: [10.1038/s41598-021-95302-1](https://doi.org/10.1038/s41598-021-95302-1)
- 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)
......@@ -134,6 +133,7 @@ output:
### 2022
- Jackson-Blake L.A., Clayer F., de Eyto E., French A.S., Frías M.D., Mercado-Bettín D., et al. (2022). Opportunities for seasonal forecasting to support water management outside the tropics. Hydrology and Earth System Sciences 26, 1389–1406. doi: [10.5194/hess-26-1389-2022](https://doi.org/10.5194/hess-26-1389-2022)
- Jougla R. & Leconte R. (2022). Short-Term Hydrological Forecast Using Artificial Neural Network Models with Different Combinations and Spatial Representations of Hydrometeorological Inputs. Water 14. doi: [10.3390/w14040552](https://doi.org/10.3390/w14040552)
- Trinugroho M.W. & Prima Nugroho A. (2022). Pemodelan limpasan air hujan menggunakan GR2M berbasis R di hilir daerah aliran sungai Cimanuk. Buletin Hasil Penelitian Agroklimat dan Hidrologi 18, 14–21. ISSN: [0216-3934](http://repository.pertanian.go.id/bitstream/handle/123456789/15283/buletin-2021_.pdf?sequence=1&isAllowed=y)
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