Commit 7fca00ef authored by Delaigue Olivier's avatar Delaigue Olivier
Browse files

refactor(Publications): add references in the 'Articles' section

Refs #2
parent cfc33084
......@@ -97,11 +97,13 @@ output:
### Upcoming
- Althoff D., Rodrigues L.N. & Silva D.D. da (2022). Predicting runoff series in ungauged basins of the Brazilian Cerrado biome. Environmental Modelling & Software 149, 105315. [10.1016/j.envsoft.2022.105315](
- Althoff D. & Rodrigues L.N. (2021). Goodness-of-fit criteria for hydrological models: Model calibration and performance assessment. Journal of Hydrology 600, 126674. doi: [10.1016/j.jhydrol.2021.126674](
- 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](
- 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](
- 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](
- 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](
- Bérubé S., Brissette F. & Arsenault R. (2022). Optimal Hydrological Model Calibration Strategy for Climate Change Impact Studies. Journal of Hydrologic Engineering 27, 04021053. [10.1061/(ASCE)HE.1943-5584.0002148](
- Caillouet L., Vidal J.-P., Sauquet E., Devers A., Lauvernet C., Graff B., et al. (2021). Intercomparaison des évènements d’étiage extrême en France depuis 1871. LHB 107, 1–9. doi: [10.1080/00186368.2021.1914463](
- Flores N., Rodríguez R., Yépez S., Osores V., Rau P., Rivera D., et al. (2021). Comparison of Three Daily Rainfall-Runoff Hydrological Models Using Four Evapotranspiration Models in Four Small Forested Watersheds with Different Land Cover in South-Central Chile. Water 13. doi: [10.3390/w13223191](
- Ghimire U., Agarwal A., Shrestha N.K., Daggupati P., Srinivasan G. & Than H.H. (2020). Applicability of Lumped Hydrological Models in a Data-Constrained River Basin of Asia. Journal of Hydrologic Engineering 25, 05020018. doi: [10.1061/(ASCE)HE.1943-5584.0001950](
......@@ -116,6 +118,7 @@ output:
- 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](
- 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](
- Pelletier A. & Andréassian V. (2021). On constraining a lumped hydrological model with both piezometry and streamflow: results of a large sample evaluation. Hydrology and Earth System Sciences Discussions 2021, 1–37. doi: [10.5194/hess-2021-413](
- Peredo D., Ramos M.-H., Andréassian V. & Oudin L. (2022). Investigating hydrological model versatility to simulate extreme flood events. Hydrological Sciences Journal. [10.1080/02626667.2022.2030864](
- 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](
- Saadi M., Oudin L. & Ribstein P. (2021). Physically consistent conceptual rainfall–runoff model for urbanized catchments. Journal of Hydrology 599, 126394. doi: [10.1016/j.jhydrol.2021.126394](
- Sauquet E., Beaufort A., Sarremejane R. & Thirel G. (2021). Predicting flow intermittence in France under climate change. Hydrological Sciences Journal 0, 1–14. doi: [10.1080/02626667.2021.1963444](
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment