1..... ‘GR’ Models

2..... Turc-Mezentsev Formula & Turc-Budyko nondimensional graph

3..... Philosophical Issues in Hydrology

4..... Hydrology of Ungaged Basins

5..... Quantitative Evaluation of Hydrological models

6..... Catchment Memory

7..... Calibration of Hydrological Models

8..... Sensitivity Analysis of Hydrological Models

9..... Rainfall Input to Hydrological Models

10....... Snow Hydrology and High Mountains

11....... Hydrology and Uncertainties

12....... Low Flows Simulation and Forecasting

13....... Evapotranspiration Input to Hydrological Models

14....... Piezometers, Baseflow & Intercatchment Groundwater Flows

15....... Hydrological Models: Lumping and Distribution

16....... Flood Forecasting & Model Updating

17....... Inundation Modeling

18....... Reservoir management

19....... Forest Hydrology

20....... Climatic Variability, Climate Change, Changing Catchments & Model Extrapolation Capacity

21....... Smart Tricks for Hydrological Modelling

22....... Model Comparisons

23....... Model Coupling

24....... Water Resources

25....... Water Quality Modelling

26....... Satellite Rainfall

27....... Hydrological Maps

28....... Other Topics

29....... For children

30....... Popular Science Books

31....... Popular science articles

32....... Scientific & Technical Books

1.            ‘GR’ Models

Astagneau, P., Bourgin, F., Andréassian, V., Perrin, C. 2022. Catchment response to intense rainfall: Evaluating modelling hypotheses. Hydrological Processes, 36: e14676, https://doi.org/10.1002/hyp.14676

Astagneau, P., F. Bourgin, V. Andréassian & C. Perrin 2021. When does a parsimonious model fail to simulate floods? Learning from the seasonality of model bias. Hydrological Sciences Journal, 66(8): 1288-1305. https://doi.org/10.1080/02626667.2021.1923720

Ficchì, A., C. Perrin and V. Andréassian. 2019. Hydrological modelling at multiple sub-daily time steps: model improvement via flux-matching. Journal of Hydrology, 575: 1308-1327, https://dx.doi.org/10.1016/j.jhydrol.2019.05.084

Coron, L., Thirel, G., Delaigue, O., Perrin, C. and Andréassian, V. 2017. The Suite of Lumped GR Hydrological Models in an R Package. Environmental Modelling and Software, 94: 166–171. https://dx.doi.org/10.1016/j.envsoft.2017.05.002

Pushpalatha, R., Perrin, C., Le Moine, N., Mathevet, T. and Andréassian, V. 2011. A downward structural sensitivity analysis of hydrological models to improve low-flow simulation. Journal of Hydrology, 411(1-2): 66-76, https://dx.doi.org/10.1016/j.jhydrol.2011.09.034

Mouelhi, S., Michel , C., Perrin, C. & Andréassian, V. 2006. Linking stream flow to rainfall at the annual time step: the Manabe bucket model revisited. Journal of Hydrology, 328: 283-296, https://dx.doi.org/10.1016/j.jhydrol.2005.12.022

Mouelhi, S., Michel, C., Perrin, C. & Andréassian, V. 2006. Stepwise development of a two-parameter monthly water balance model. Journal of Hydrology, 318(1-4): 200-214, https://dx.doi.org/10.1016/j.jhydrol.2005.06.014

Perrin, C., Michel, C. and Andréassian, V. 2003. Improvement of a parsimonious model for streamflow simulation. Journal of Hydrology, 279: 275-289, https://dx.doi.org/10.1016/S0022-1694(03)00225-7

2.            Turc-Mezentsev Formula & Turc-Budyko nondimensional graph

Andréassian, V. and Sari, T. 2019. Technical Note: On the puzzling similarity of two water balance formulas – Turc-Mezentsev vs Tixeront-Fu. Hydrology and Earth System Sciences, 23: 2339-2350. https://dx.doi.org/10.5194/hess-23-2339-2019

De Lavenne, A. & V. Andréassian. 2018. Impact of climate seasonality on catchment yield: a parameterization for commonly-used water balance formulas. Journal of Hydrology, 558: 266–274, https://dx.doi.org/10.1016/j.jhydrol.2018.01.009

Andréassian, V., Ü. Mander & T. Pae. 2016. The Budyko hypothesis before Budyko: The hydrological legacy of Evald Oldekop. Journal of Hydrology, 535: 386–391. https://dx.doi.org/10.1016/j.jhydrol.2016.02.002

Andréassian, V., L. Coron, J. Lerat, and N. Le Moine. 2016. Climate elasticity of streamflow revisited – an elasticity index based on long-term hydrometeorological records. Hydrology and Earth System Sciences, 20: 4503–4524, https://dx.doi.org/10.5194/hess-20-4503-2016

Coron L., V. Andréassian, C. Perrin, N. Le Moine. 2015. Graphical tools based on Turc-Budyko plots to detect changes in catchment behaviour. Hydrological Sciences Journal, 60(7-8): 1394-1407. https://dx.doi.org/10.1080/02626667.2014.964245

Lebecherel, L., V. Andréassian & C. Perrin. 2013. On regionalizing the Turc-Mezentsev water balance formula. Water Resources Research, 49, https://dx.doi.org/10.1002/2013WR013575

Andréassian, V., & C. Perrin. 2012. On the ambiguous interpretation of the Turc-Budyko nondimensional graph. Water Resources Research, 48, W10601, https://dx.doi.org/10.1029/2012WR012532

Oudin, L., Andréassian, V., Lerat, J., Michel, C. 2008. Has land cover a significant impact on mean annual streamflow? An international assessment using 1508 catchments. Journal of Hydrology, 357(3-4): 303-316.  https://dx.doi.org/10.1016/j.jhydrol.2008.05.021

Le Moine, N., Andréassian, V., Perrin, C. & Michel, C. 2007. How can rainfall-runoff models handle intercatchment groundwater flows? Theoretical study based on 1040 French catchments. Water Resources Research, 43(6): W06428, https://dx.doi.org/10.1029/2006WR005608

Mouelhi, S., Michel , C., Perrin, C. & Andréassian, V. 2006. Linking stream flow to rainfall at the annual time step: the Manabe bucket model revisited. Journal of Hydrology, 328: 283-296, https://dx.doi.org/10.1016/j.jhydrol.2005.12.022

3.            Philosophical Issues in Hydrology

Andréassian, V. 2023. On the (im)possible validation of hydrogeological models. Comptes Rendus. Géoscience, 355(S1), https://doi.org/10.5802/crgeos.142

Nicolle, P., V. Andréassian, P. Royer-Gaspard, C. Perrin, G. Thirel, L. Coron, & L. Santos. 2021. Technical Note – RAT: a Robustness Assessment Test for calibrated and uncalibrated hydrological models. Hydrology and Earth System Sciences, 25, 5013–5027. https://doi.org/10.5194/hess-25-5013-2021

Blöschl, G., …, V. Andréassian, …, C. Perrin, …, M.-H. Ramos, …, G. Thirel, … et al. (2019) Twenty-three Unsolved Problems in Hydrology (UPH) – a community perspective, Hydrological Sciences Journal, https://dx.doi.org/10.1080/02626667.2019.1620507

Andréassian, V., J. Margat, G. Thirel & P. Hubert. 2015. What part of natural flow can be considered a ‘water resource’? In: Cudennec, C; Demuth, S; Mishra, A; editors. Proceedings of the 11th Kovacs Colloquium on Hydrological Sciences and Water Security: Past, Present and Future. IAHS Publication 366: 86-92, https://dx.doi.org/10.5194/piahs-366-86-2015

Thirel G., V. Andréassian, C. Perrin. 2015. Editorial: On the need to test hydrological models under changing conditions, Hydrological Sciences Journal, 60(7-8): 1165-1173, https://dx.doi.org/10.1080/02626667.2015.1050027

Andréassian, V., F. Bourgin, L. Oudin, T. Mathevet, C. Perrin, J. Lerat, L. Coron, L. Berthet. 2014. Seeking genericity in the selection of parameter sets: impact on hydrological model efficiency. Water Resources Research, 50(10): 8356-8366, https://dx.doi.org/10.1002/2013WR014761

Gupta, H.V., C. Perrin, R. Kumar, G. Blöschl, M. Clark, A. Montanari, and V. Andréassian. 2014. Large-sample hydrology: a need to balance depth with breadth. Hydrology and Earth System Sciences, 18: 463–477, https://dx.doi.org/10.5194/hess-18-463-2014

Bennett, N., B. Croke, G. Guariso, J. Guillaume, S. Hamilton, A. Jakeman., S. Marsili-Libelli, L. Newhama, J. Norton, C. Perrin, S. Pierce, B. Robson, R. Seppelt, A. Voinov, B. Fath, V. Andréassian. 2013. Characterising performance of environmental models. Environmental Modelling and Software, 40: 1-20, https://dx.doi.org/10.1016/j.envsoft.2012.09.011

Andréassian, V., Le Moine, N., Perrin, C., Ramos, M.H., Oudin, L., Mathevet, T., Lerat, J., Berthet, L. 2012. All that glitters is not gold: the case of calibrating hydrological models. Hydrological Processes, 26: 2206-2210. https://dx.doi.org/10.1002/hyp.9264

Andréassian, V., Perrin, C., Parent, E. and Bardossy, A., 2010. Editorial – The Court of Miracles of Hydrology: can failure stories contribute to hydrological science? Hydrological Sciences Journal, 55(6): 849-856, https://dx.doi.org/10.1080/02626667.2010.506050

Oudin, L., A. Kay, V. Andréassian, and C. Perrin. 2010. Are seemingly physically similar catchments truly hydrologically similar? Water Resources Research, 46, W11558, https://dx.doi.org/10.1029/2009WR008887

Andréassian, V., Perrin, C., Berthet, L., Le Moine, N., Lerat, J., Loumagne, C., Oudin, L., Mathevet, T., Ramos, M.H., Valéry, A. 2009. Crash tests for a standardized evaluation of hydrological models. Hydrology and Earth System Sciences, 13: 1757-1764, https://dx.doi.org/10.5194/hess-13-1757-2009

Andréassian, V., Le Moine, N., Mathevet, T., Lerat, J., Berthet, L., Perrin, C. 2009. The hunting of the hydrological snark. Hydrological Processes, 23(4): 651-654. https://dx.doi.org/10.1002/hyp.7217

Andréassian, V., J. Lerat, C. Loumagne, T. Mathevet, C. Michel, L. Oudin, and C. Perrin. 2007. What is really undermining hydrologic science today? Hydrological Processes, 21: 2819-2822, https://dx.doi.org/10.1002/hyp.6854

Andréassian, V., Hall, A., Chahinian, N. & Schaake, J., 2006. Introduction and Synthesis: Why should hydrologists work on a large number of basin data sets? IAHS Publication n°307: 1-5.

Michel, C., Perrin, C., Andréassian, V., Oudin, L. & Mathevet, T., 2006. Has basin scale modelling advanced far beyond empiricism ? IAHS Publication n°307: 108-116.

Andréassian, V., Oddos, A., Michel, C., Anctil, F. & Perrin, C. 2004. Impact of spatial aggregation of inputs and parameters on the efficiency of rainfall-runoff models: a theoretical study using chimera watersheds. Water Resources Research, 40(5): W05209, https://dx.doi.org/10.1029/2003WR002854

Perrin, C., C. Michel & V. Andréassian, 2001. Does a large number of parameters enhance model performance? Comparative assessment of common catchment model structures on 429 catchments. Journal of Hydrology, 242 (3-4): 275-301, https://dx.doi.org/10.1016/S0022-1694(00)00393-0

4.            Hydrology of Ungaged Basins

de Lavenne, A., V. Andréassian, G. Thirel, M.-H. Ramos, & C. Perrin. 2019. A regularization approach to improve the sequential calibration of a semi-distributed hydrological model. Water Resources Research, 55. https://doi.org/10.1029/2018WR024266

Brigode, P., D. Lilas, V. Andréassian, P. Nicolle, N. Le Moine, C. Perrin, S. Gremminger & B. Augeard. 2019. Une cartographie de l’écoulement des rivières de Corse. La Houille Blanche, n°1, p. 68-77. https://doi.org/10.1051/lhb/2019009

De Lavenne, A. & V. Andréassian. 2018. Impact of climate seasonality on catchment yield: a parameterization for commonly-used water balance formulas. Journal of Hydrology, 558, 266–274, https://doi.org/10.1016/j.jhydrol.2018.01.009

Poncelet, C., V. Andréassian, L. Oudin & C. Perrin. 2017. The Quantile Solidarity approach for the parsimonious regionalization of flow duration curves. Hydrological Sciences Journal, 62(9): 1364-1380, http://dx.doi.org/10.1080/02626667.2017.1335399

Rojas-Serna, C., L. Lebecherel, C. Perrin, V. Andréassian & L. Oudin. 2016. How should a rainfall-runoff model be parameterized in an almost ungauged catchment? A methodology tested on 609 catchments. Water Resources Research, 52(6): 4765-4784, https://dx.doi.org/10.1002/2015WR018549

Lebecherel, L., V. Andréassian & C. Perrin. 2016. On evaluating the robustness of spatial-proximity-based regionalization methods. Journal of Hydrology, 539: 196-203, https://dx.doi.org/10.1016/j.jhydrol.2016.05.031

Bourgin, F., V. Andréassian, C. Perrin, and L. Oudin. 2015. Transferring model uncertainty estimates from gauged to ungauged catchments. Hydrology and Earth System Sciences, 19: 2535-2546, https://dx.doi.org/10.5194/hess-19-2535-2015

Lebecherel, L., V. Andréassian & C. Perrin. 2013. On regionalizing the Turc-Mezentsev water balance formula. Water Resources Research, 49, https://dx.doi.org/10.1002/2013WR013575

Andréassian, V., Lerat, J., Le Moine, N. and Perrin, C. 2012. Neighbors: Nature’s own hydrological models. Journal of Hydrology, 414-415: 49-58, https://dx.doi.org/10.1016/j.jhydrol.2011.10.007

Boldetti, G., Riffard, M., Andréassian, V. and Oudin, L. 2010. Data-set cleansing practices and hydrological regionalization: is there any valuable information among outliers? Hydrological Sciences Journal, 55(6): 941-951. http://dx.doi.org/10.1080/02626667.2010.505171

Oudin, L., A. Kay, V. Andréassian, and C. Perrin. 2010. Are seemingly physically similar catchments truly hydrologically similar? Water Resources Research, 46, W11558, https://dx.doi.org/10.1029/2009WR008887

Oudin, L., Andréassian, V., Lerat, J., Michel, C. 2008. Has land cover a significant impact on mean annual streamflow? An international assessment using 1508 catchments. Journal of Hydrology, 357(3-4), 303-316.  https://dx.doi.org/10.1016/j.jhydrol.2008.05.021

Oudin, L., V. Andréassian, C. Perrin, C. Michel, and N. Le Moine. 2008. Spatial proximity, physical similarity and ungaged catchments: confrontation on 913 French catchments, Water Resources Research, 44, W03413, https://dx.doi.org/10.1029/2007WR006240

Perrin, C., V. Andréassian, T. Mathevet, N. Le Moine. 2008. Discrete parameterization of hydrological models: evaluating the use of parameter sets libraries over 900 catchments. Water Resources Research, 44, W08447, https://dx.doi.org/10.1029/2007WR006579

Oudin, L., Andréassian, V., Rojas-Serna, C., Le Moine, N. & Michel, C. 2007. Testing similarity indices to reduce predictive uncertainty in ungauged basins. In: E. Boegh et al. (Editors), Quantification and Reduction of Predictive Uncertainty for Sustainable Water Resources Management, IAHS Publication n°313: 303-310.

Oudin, L., Andréassian, V., Loumagne, C. & Michel, C. 2006. How informative is land-cover for the regionalization of the GR4J rainfall-runoff model? IAHS Publication n°307: 246-255.

Rojas-Serna, C., C. Michel, C. Perrin & V. Andréassian. 2006. Ungauged catchments: How to make the most of a few streamflow measurements? IAHS Publication n°307: 230-236.

5.            Quantitative Evaluation of Hydrological models

Santos, L., V. Andréassian, T.O. Sonnenborg, G. Lindström, A. de Lavenne, C. Perrin, L. Collet and G. Thirel. 2025. Lack of robustness of hydrological models: a large-sample diagnosis and an attempt to identify the hydrological and climatic drivers. Hydrol. Earth Syst. Sci., 29, 683–700, https://doi.org/10.5194/hess-29-683-2025

Hallouin, T., F. Bourgin, C. Perrin, M.H. Ramos and V. Andréassian. 2024. EvalHyd v0.1.2: a polyglot tool for the evaluation of deterministic and probabilistic streamflow predictions. Geosci. Model Dev., 17: 4561–4578. https://doi.org/10.5194/gmd-17-4561-2024

Mathevet, T., N. Le Moine, V. Andréassian, H. Gupta & L. Oudin. 2023. Multi-objective assessment of hydrological model performances using Nash–Sutcliffe and Kling–Gupta efficiencies on a worldwide large sample of watersheds. Comptes Rendus. Géoscience, 355(S1), https://doi.org/10.5802/crgeos.189

Mathevet, T., Gupta, H., Perrin, C., Andréassian, V., Le Moine, N. 2020. Assessing the performance and robustness of two conceptual rainfall-runoff models on a worldwide sample of watersheds, Journal of Hydrology, 585: 124698, https://doi.org/10.1016/j.jhydrol.2020.124698

Poncelet, C., R. Merz, B. Merz, J. Parajka, L. Oudin, V. Andréassian & C. Perrin. 2017. Process-based interpretation of conceptual hydrological model performance using a multinational catchment set. Water Resources Research, 53, 7247-7268, https://doi.org/10.1002/2016WR019991

Crochemore, L., C. Perrin, V. Andréassian, U. Ehret, S.P. Seibert, S. Grimaldi, H. Gupta, J-E Paturel. 2015. Comparing expert judgement and numerical criteria for hydrograph evaluation. Hydrological Sciences Journal, 60 (3): 402-423, https://dx.doi.org/10.1080/02626667.2014.903331

Pushpalatha, R., Perrin, C., Le Moine, N. and Andréassian, V. 2012. A review of efficiency criteria suitable for evaluating low-flow simulations. Journal of Hydrology, 420-421: 171-182, https://dx.doi.org/10.1016/j.jhydrol.2011.11.055

Berthet, L., Andréassian, V., Perrin, C. and Loumagne, C., 2010. How significant are quadratic criteria? Part 1. How many years are necessary to ensure the data-independence of a quadratic criterion value? Hydrological Sciences Journal, 55(6): 1051-1062.  https://dx.doi.org/10.1080/02626667.2010.505890

Berthet, L., Andréassian, V., Perrin, C. and Loumagne, C., 2010. How significant are quadratic criteria? Part 2. On the relative contribution of large flood events to the value of a quadratic criterion. Hydrological Sciences Journal, 55(6): 1063-1073.  https://dx.doi.org/10.1080/02626667.2010.505891

Mathevet, T., Michel, C., Andréassian, V. & Perrin, C., 2006. A bounded version of the Nash-Sutcliffe criterion for better model assessment on large sets of basins. IAHS Publication n°307, pp. 211-219.

Perrin, C., Andréassian, V. & Michel, C. 2006. Simple benchmark models as a basis for criteria of model efficiency. Archiv für Hydrobiologie Supplement 161/1-2, Large Rivers, 17(1-2), 221-244.

Perrin, C., Dilks, C., Bärlund, I., Payan, J. L. & Andréassian, V. 2006. Use of simple rainfall-runoff models as a baseline for the benchmarking of the hydrological component of complex catchment models, Archiv für Hydrobiologie Supplement 161/1-2, Large Rivers, 17(1-2), 75-96.

6.            Catchment Memory

De Lavenne, A., V. Andréassian, L. Crochemore, G. Lindström, and B. Arheimer. 2022. Quantifying pluriannual hydrological memory with Catchment Forgetting Curves. Hydrol. Earth Syst. Sci., 26: 2715–2732, https://doi.org/10.5194/hess-26-2715-2022

Pelletier, A., & V. Andréassian. 2020. Caractérisation de la mémoire des bassins versants par approche croisée entre piézométrie et séparation d'hydrogramme. La Houille Blanche, 3, 30–37, https://doi.org/10.1051/lhb/2020032

7.            Calibration of Hydrological Models

Lerat, J., Chiew, F., Robertson, D., Andréassian, V., & Zheng, H. 2024. Data Assimilation Informed model Structure Improvement (DAISI) for robust prediction under climate change: Application to 201 catchments in southeastern Australia. Water Resour. Res., 60, e2023WR036595. https://doi.org/10.1029/2023WR036595

de Lavenne, A., V. Andréassian, G. Thirel, M.-H. Ramos, & C. Perrin. 2019. A regularization approach to improve the sequential calibration of a semi-distributed hydrological model. Water Resources Research, 55: https://doi.org/10.1029/2018WR024266

Andréassian, V., F. Bourgin, L. Oudin, T. Mathevet, C. Perrin, J. Lerat, L. Coron, L. Berthet. 2014. Seeking genericity in the selection of parameter sets: impact on hydrological model efficiency. Water Resources Research, 50(10): 8356-8366, https://dx.doi.org/10.1002/2013WR014761

Andréassian, V., Le Moine, N., Perrin, C., Ramos, M.H., Oudin, L., Mathevet, T., Lerat, J., Berthet, L. 2012. All that glitters is not gold: the case of calibrating hydrological models. Hydrological Processes, vol. 26, p. 2206 – 2210. https://dx.doi.org/10.1002/hyp.9264

Lerat, J., Andréassian, V., Perrin, C., Vaze, J., Perraud, J. M., Ribstein, P., Loumagne, C. 2012. Do internal flow measurements improve the calibration of rainfall-runoff models? Water Resources Research, 48, W02511, https://dx.doi.org/10.1029/2010WR010179

Perrin, C., V. Andréassian, T. Mathevet & N. Le Moine. 2008. Discrete parameterization of hydrological models: evaluating the use of parameter sets libraries over 900 catchments. Water Resources Research, 44, W08447, https://dx.doi.org/10.1029/2007WR006579

8.            Sensitivity Analysis of Hydrological Models

Thébault, C., C. Perrin, V. Andréassian, G. Thirel, S. Legrand & O. Delaigue. 2023. Impact of suspicious streamflow data on the efficiency and parameter estimates of rainfall–runoff models. Hydrological Sciences Journal, 68: 1627-1647. https://doi.org/10.1080/02626667.2023.2234893

Ficchì, A. C. Perrin & V. Andréassian. 2016. Impact of temporal resolution of inputs on hydrological model performance: An analysis based on 2400 flood events. Journal of Hydrology, 538:454-470. https://dx.doi.org/10.1016/j.jhydrol.2016.04.016

Brigode P., E. Paquet, P. Bernardara, J. Gailhard, F. Garavaglia, P. Ribstein, F. Bourgin, C. Perrin, V. Andréassian. 2015. Dependence of model-based extreme flood estimation on the calibration period: the case study of the Kamp River (Austria), Hydrological Sciences Journal, 60(7-8): 1424-1437. https://dx.doi.org/10.1080/02626667.2015.1006632

Lebecherel, L., V. Andréassian, C. Perrin & P. Maugis. 2014. Analyse de la sensibilité des calculs hydrologiques à la densité spatiale des réseaux hydrométriques. La Houille Blanche, n° 1, p. 39-44, https://dx.doi.org/10.1051/lhb/2014006

Lobligeois, F., V. Andréassian, C. Perrin, P. Tabary, & C. Loumagne. 2014. When does higher spatial resolution rainfall information improve streamflow simulation? An evaluation on 3620 flood events. Hydrology and Earth System Sciences, 18: 575-594, https://dx.doi.org/10.5194/hess-18-575-2014

Perrin, C., Oudin, L., Andréassian, V., Rojas-Serna, C., Michel, C. & Mathevet, T., 2007. Impact of limited streamflow knowledge on the efficiency and the parameters of rainfall-runoff models. Hydrological Sciences Journal 52(1), 131-151,  https://dx.doi.org/10.1623/hysj.52.1.131

Oudin, L., Perrin, C., Mathevet, T., Andréassian, V. & Michel, C. 2006. Impact of biased and randomly corrupted inputs on the efficiency and the parameters of watershed models. Journal of Hydrology, 320, 62-83, https://dx.doi.org/10.1016/j.jhydrol.2005.07.016

Oudin, L., Andréassian, V., Perrin, C., Anctil, F., 2004. Locating the sources of low-pass behaviour within rainfall-runoff models. Water Resources Research 40(11), https://dx.doi.org/0.1029/2004WR003291

Anctil, F., Perrin, C. and Andréassian, V., 2004. Impact of the length of observed records on the performance of ANN and of conceptual parsimonious rainfall-runoff forecasting models. Environmental Modelling and Software, 19(4): 357-368,  https://dx.doi.org/10.1016/S1364-8152(03)00135-X

Andréassian, V., Oddos, A., Michel, C., Anctil, F. and Perrin, C., 2004. Impact of spatial aggregation of inputs and parameters on the efficiency of rainfall-runoff models: a theoretical study using chimera watersheds. Water Resources Research, 40(5), W05209,  https://dx.doi.org/10.1029/2003WR002854

Andréassian, V., Perrin, C. and Michel, C., 2004. Impact of imperfect potential evapotranspiration knowledge on the efficiency and parameters of watershed models. Journal of Hydrology, 286 : 19-35,  https://dx.doi.org/10.1016/j.jhydrol.2003.09.030

Andréassian, V., C. Perrin, C. Michel, I. Usart-Sanchez et J. Lavabre, 2001. Impact of Imperfect Rainfall Knowledge on the Efficiency and the Parameters of Watershed Models. Journal of Hydrology, 250 (1-4): 206-223, https://dx.doi.org/10.1016/S0022-1694(01)00437-1

Andréassian, V., C. Perrin, C. Michel, I. Usart-Sanchez et J. Lavabre, 2001. Impact of Imperfect Rainfall Knowledge on the Efficiency and the Parameters of Watershed Models. Journal of Hydrology, 250 (1-4): 206-223, https://dx.doi.org/10.1016/S0022-1694(01)00437-1

9.            Rainfall Input to Hydrological Models

Astagneau, P., Bourgin, F., Andréassian, V., Perrin, C. 2002. Catchment response to intense rainfall: Evaluating modelling hypotheses. Hydrological Processes, 36 :e14676, https://doi.org/10.1002/hyp.14676

Ficchì, A. C. Perrin & V. Andréassian. 2016. Impact of temporal resolution of inputs on hydrological model performance: An analysis based on 2400 flood events. Journal of Hydrology, 538:454-470. https://dx.doi.org/10.1016/j.jhydrol.2016.04.016

Lobligeois, F., V. Andréassian, C. Perrin, P. Tabary, & C. Loumagne. 2014. When does higher spatial resolution rainfall information improve streamflow simulation? An evaluation on 3620 flood events. Hydrology and Earth System Sciences, 18: 575-594, https://dx.doi.org/10.5194/hess-18-575-2014

Anctil, F., Lauzon, N., Andréassian, V., Oudin, L. & Perrin, C. (2006) Improvement of rainfall-runoff forecasts through mean areal rainfall optimization. Journal of Hydrology, 328: 717-725, https://dx.doi.org/10.1016/j.jhydrol.2006.01.016

Andréassian, V., C. Perrin, C. Michel, I. Usart-Sanchez et J. Lavabre, 2001. Impact of Imperfect Rainfall Knowledge on the Efficiency and the Parameters of Watershed Models. Journal of Hydrology, 250 (1-4): 206-223, https://dx.doi.org/10.1016/S0022-1694(01)00437-1

10.         Snow Hydrology and High Mountains

Valéry, A., V. Andréassian and C. Perrin. 2014. As simple as possible but not simpler: what is useful in a temperature-based snow-accounting routine? Part 1 - Comparison of six snow accounting routines on 380 catchments. Journal of Hydrology, 517: 1166-1175, https://dx.doi.org/10.1016/j.jhydrol.2014.04.059

Valéry, A., V. Andréassian and C. Perrin. 2014. As simple as possible but not simpler: what is useful in a temperature-based snow-accounting routine? Part 2 - Sensitivity analysis of the Cemaneige snow accounting routine on 380 catchments. Journal of Hydrology, 517: 1176-1187, https://dx.doi.org/10.1016/j.jhydrol.2014.04.058

Pokhrel, B. K., P. Chevallier, V. Andréassian, A. A. Tahir, Y. Arnaud, L. Neppel, O. R. Bajracharya, K. P. Budhathoki. 2014. Comparison of two snowmelt modelling approaches in the Dudh Koshi Basin (Eastern Himalayas, Nepal), Hydrological Sciences Journal, 59(8): 1507-1518, https://dx.doi.org/10.1080/02626667.2013.842282

Bourgin, P.-Y., V. Andréassian, S. Gascoin & A. Valéry. 2012. Que sait-on des précipitations en altitude dans les Andes semi-arides du Chili ? La Houille Blanche n°2: 12-17, http://dx.doi.org/10.1051/lhb/2012010

Nicolle, P., Valéry, A., Ramos, M.H., Perrin, C. and Andréassian, V. 2012. Mieux prévoir les crues nivales : évaluation de prévisions probabilistes de débit sur des bassins versants de montagne français. La Houille Blanche n°2: 26-33, https://dx.doi.org/10.1051/lhb/2012012

Valéry, A., Andréassian, V. and Perrin, C., 2010. Regionalization of precipitation and air temperature over high-altitude catchments – learning from outliers. Hydrological Sciences Journal, 55(6): 928-940.  https://dx.doi.org/10.1080/02626667.2010.504676

Valéry, A., Andréassian, V. and Perrin, C., 2009. Inverting the hydrological cycle: when streamflow measurements help assess altitudinal precipitation gradients in mountain areas. IAHS Publication 333: 281-286.

11.         Hydrology and Uncertainties

Bourgin, F., V. Andréassian, C. Perrin & L. Oudin. 2015. Transferring model uncertainty estimates from gauged to ungauged catchments. Hydrology and Earth System Sciences, 19: 2535-2546, https://dx.doi.org/10.5194/hess-19-2535-2015

12.         Low Flows Simulation and Forecasting

Pelletier, A., & V. Andréassian. 2020. Caractérisation de la mémoire des bassins versants par approche croisée entre piézométrie et séparation d'hydrogramme. La Houille Blanche, 3, 30–37, https://doi.org/10.1051/lhb/2020032

Perrin, C., Ramos, M.-H., Andréassian, V., Nicolle, P., Crochemore, L. & R. Pushpalatha.  2015. Improved rainfall-runoff modelling tools for low-flow forecasting: application to French catchments. In : Andreu J., A. Solera, J. Paredes-Arquiola, D. Haro-Monteagudo, H. van Lanen (2015). Drought: Research and Science-Policy Interfacing: Taylor and Francis, London, p. 259-265.

Nicolle, P., R. Pushpalatha, C. Perrin, D. Francois, D. Thiéry, T. Mathevet, M. Le Lay, F. Besson, J.-M. Soubeyroux, C. Viel, F. Regimbeau, V. Andréassian, P. Maugis, B. Augeard, & E. Morice. 2014. Benchmarking hydrological models for low-flow simulation and forecasting on French catchments. Hydrology and Earth System Sciences, 18: 2829-2857, https://dx.doi.org/10.5194/hess-18-2829-2014

Pushpalatha, R., Perrin, C., Le Moine, N., Mathevet, T. and Andréassian, V., 2011. A downward structural sensitivity analysis of hydrological models to improve low-flow simulation. Journal of Hydrology, 411(1-2): 66-76, https://dx.doi.org/10.1016/j.jhydrol.2011.09.034

Perrin, C., C. Michel & V. Andréassian, 2001. Long-term low flow forecasting for French rivers by continuous rainfall-runoff modelling. Meeting of the British Hydrological Society on Continuous River Flow Simulation, Wallingford, UK, 5th July 2001, Littlewood, I.G. (Ed.), BHS Occasional Paper n° 13: 21-29.

13.         Evapotranspiration Input to Hydrological Models

Oudin, L., Hervieu, F., Michel, C., Perrin, C., Andréassian, V., Anctil, F. & Loumagne, C. 2005. Which potential evapotranspiration input for a rainfall-runoff model? Part 2 – Towards a simple and efficient PE model for rainfall-runoff modelling. Journal of Hydrology,. 303(1-4), 290-306, https://dx.doi.org/10.1016/j.jhydrol.2004.08.026

Oudin, L., Michel, C., Andréassian, V., Anctil, F. & Loumagne, C. 2005. Should Bouchet’s hypothesis be taken into account in rainfall-runoff modelling? An assessment over 308 catchments. Hydrological Processes, 19(20): 4093-4106, https://dx.doi.org/10.1002/hyp.5874

Andréassian, V., Perrin, C. & Michel, C. 2004. Impact of imperfect potential evapotranspiration knowledge on the efficiency and parameters of watershed models. Journal of Hydrology, 286: 19-35, https://dx.doi.org/10.1016/j.jhydrol.2003.09.030

14.         Piezometers, Baseflow & Intercatchment Groundwater Flows

Pelletier, A. & V. Andréassian. 2023. An underground view of surface hydrology: what can piezometers tell us about river floods and droughts? Comptes Rendus. Géoscience, 355(S1), https://doi.org/10.5802/crgeos.195

Pelletier, A & V. Andréassian. 2022. On constraining a lumped hydrological model with both piezometry and streamflow: results of a large sample evaluation. Hydrol. Earth Syst. Sci., 26: 2733–2758, https://doi.org/10.5194/hess-26-2733-2022

Pelletier, A. & V. Andréassian. 2020. Caractérisation de la mémoire des bassins versants par approche croisée entre piézométrie et séparation d'hydrogramme. La Houille Blanche, 3, 30-37, https://doi.org/10.1051/lhb/2020032

Pelletier, A. & V. Andréassian. 2020. Hydrograph separation: an impartial parameterisation for an imperfect method. Hydrol. Earth Syst. Sci., 24: 1171-1187, https://doi.org/10.5194/hess-24-1171-2020

Le Moine, N., V. Andréassian, T. Mathevet. 2008. Confronting surface- and groundwater balances on the La Rochefoucauld-Touvre karstic system (Charente, France), Water Resources Research, 44, W03403, https://dx.doi.org/10.1029/2007WR005984

Le Moine, N., Andréassian, V., Perrin, C. & Michel, C. 2007. How can rainfall-runoff models handle intercatchment groundwater flows? Theoretical study based on 1040 French catchments. Water Resources Research 43(6), W06428, https://dx.doi.org/10.1029/2006WR005608

15.         Hydrological Models: Lumping and Distribution

de Lavenne, A., G. Thirel, V. Andréassian, C. Perrin & M.H. Ramos. 2016. Spatial variability of the parameters of a semi-distributed hydrological model. Proc. IAHS, 373, 87–94, https://dx.doi.org/10.5194/piahs-373-87-2016.

Lobligeois, F., V. Andréassian, C. Perrin, P. Tabary, & C. Loumagne. 2014. When does higher spatial resolution rainfall information improve streamflow simulation? An evaluation on 3620 flood events. Hydrology and Earth System Sciences, 18: 575-594, https://dx.doi.org/10.5194/hess-18-575-2014

Lerat, J., Andréassian, V., Perrin, C., Vaze, J., Perraud, J. M., Ribstein, P., Loumagne, C. 2012. Do internal flow measurements improve the calibration of rainfall-runoff models? Water Resources Research, Vol. 48, No. 2, W02511, https://dx.doi.org/10.1029/2010WR010179

Andréassian, V., Oddos, A., Michel, C., Anctil, F. and Perrin, C., 2004. Impact of spatial aggregation of inputs and parameters on the efficiency of rainfall-runoff models: a theoretical study using chimera watersheds. Water Resources Research, 40(5), W05209,  https://dx.doi.org/10.1029/2003WR002854

16.         Flood Forecasting & Model Updating

Royer-Gaspard, P., Bourgin, F., Perrin, C., Andréassian, V., De Lavenne, A., Thirel, G., & Tilmant, F. 2024. Benefits of upstream data for downstream streamflow forecasting: data assimilation in a semi-distributed flood forecasting model. La Houille Blanche. https://doi.org/10.1080/27678490.2024.2374081

Astagneau, P., F. Bourgin, V. Andréassian and C. Perrin. 2024. Improving the structure of a hydrological model to forecast catchment response to intense rainfall. La Houille Blanche. https://doi.org/10.1080/27678490.2024.2341027

Thébault, C., C. Perrin, V. Andréassian, G. Thirel, S. Legrand & O. Delaigue. 2024. Multi-model approach in a variable spatial framework for streamflow simulation. Hydrol. Earth Syst. Sci., 28:1539-1566. https://doi.org/10.5194/hess-28-1539-2024

Furusho, C., C. Perrin, J. Viatgé, R. Lamblin & V. Andréassian. 2016. Synergies entre acteurs opérationnels et scientifiques au service de l’amélioration de la prévision des crues. La Houille Blanche, n° 4 (5-10), doi 10.1051/lhb/2016033

Bourgin, F., M.H. Ramos, G. Thirel and V. Andréassian. 2014. Investigating the interactions between data assimilation and post-processing in hydrological ensemble forecasting. Journal of Hydrology, 519: 2775-2784. https://dx.doi.org/10.1016/j.jhydrol.2014.07.054

Nicolle, P., Valéry, A., Ramos, M.H., Perrin, C. and Andréassian, V. 2012. Mieux prévoir les crues nivales : évaluation de prévisions probabilistes de débit sur des bassins versants de montagne français. La Houille Blanche (2): 26-33, https://dx.doi.org/10.1051/lhb/2012012

Randrianasolo, A., Ramos, M.H., Andréassian, V. 2011. Hydrological ensemble forecasting at ungauged basins: using neighbour catchments for model setup and updating. Advances in Geosciences, 29: 1-11, https://dx.doi.org/10.5194/adgeo-29-1-2011

Lacaze, Y., Chesneau, S., Raimbault, E., Piotte, O., Silva, J.P., Perrin, C., Andréassian, V., Berthet, L., Coron, L. and Fortier-Filion, T.C., 2011. Les modèles de prévision opérationnels d’aujourd’hui auraient-ils été fiables sur la crue de 1910 ? Analyse rétrospective critique sur une base de données de 1910. La Houille Blanche, 1: 22-29, https://dx.doi.org/10.1051/lhb/2011002

Randrianasolo, A., Ramos, M.H., Thirel, G., Andréassian, V., Martin, E. 2010. Comparing the scores of hydrological ensemble forecasts issued by two different hydrological models. Atmospheric Science Letters, 11: 100-107, https://dx.doi.org/10.1002/asl.259

Berthet, L., Andréassian, V., Perrin, C., Javelle, P. 2009. How crucial is it to account for the antecedent moisture conditions in flood forecasting? Comparison of event-based and continuous approaches on 178 catchments. Hydrology and Earth System Sciences 13(6), 819–831, https://dx.doi.org/10.5194/hess-13-819-2009

Anctil, F., Michel, C., Perrin, C. and Andréassian, V. 2004. A soil moisture index as an auxiliary ANN input for stream flow forecasting. Journal of Hydrology, 286: 155-167, https://dx.doi.org/10.1016/j.jhydrol.2003.09.006

Anctil, F., Perrin, C. and Andréassian, V., 2003. ANN output updating of lumped conceptual rainfall-runoff forecasting models. Journal of the American Water Resources Association, 39(5): 1269-1280, https://dx.doi.org/10.1111/j.1752-1688.2003.tb03708.x

17.         Inundation Modeling

Rebolho, C., V. Andréassian & N. Le Moine. Inundation mapping based on reach-scale effective geometry. 2018. Hydrology and Earth System Sciences, 22, 5967–5985, https://dx.doi.org/10.5194/hess-22-5967-2018

18.         Reservoir management

Lemoine, A., Ramos, M.-H., Andréassian, V. 2022. Impacts des changements climatiques sur la gestion par courbes guides des réservoirs hydroélectriques. La Houille Blanche, https://doi.org/10.1080/27678490.2022.2101393

19.         Forest Hydrology

Folton, N., V. Andréassian, R. Duperray. 2015. Hydrological impact of forest-fire from paired-catchment and rainfall–runoff modelling perspectives, Hydrological Sciences Journal, 60(7-8): 1213-1224. https://dx.doi.org/10.1080/02626667.2015.1035274

Andréassian, V., 2012. Visualising the hydrological signature of an unsteady land cover – an application to deforested and afforested catchments in Australia, the USA and France. IAHS Publication 353: 125-134.

Oudin, L., V. Andréassian, J. Lerat, C. Michel. 2008. Has land cover a significant impact on mean annual streamflow? An international assessment using 1508 catchments. Journal of Hydrology, 357(3-4), 303-316. https://dx.doi.org/10.1016/j.jhydrol.2008.05.021

Cosandey, C., V. Andréassian, C. Martin, J.-F. Didon-Lescot, J. Lavabre, N. Folton, N. Mathys, and D. Richard, 2005. The hydrological impact of the Mediterranean forest: a review of French research. Journal of Hydrology, 301(1-4): 235-249,  https://dx.doi.org/10.1016/j.jhydrol.2004.06.040

Andréassian, V., 2004. Couvert forestier et comportement hydrologique des bassins versants. La Houille Blanche, n°2, 31-35, https://dx.doi.org/10.1051/lhb:200402002

Andréassian, V., 2004. Waters and Forests: from historical controversy to scientific debate. Journal of Hydrology, 291(1-2): 1-27, https://dx.doi.org/10.1016/j.jhydrol.2003.12.015

Andréassian, V., E. Parent, & C. Michel. 2003. A distribution-free test to detect gradual changes in watershed behavior. Water Resources Research, 39(9): 1252,  https://dx.doi.org/10.1029/2003WR002081

Andréassian, V. & J. Lavabre. 2002. Relations entre le couvert forestier et le comportement hydrologique à l’échelle du bassin versant. Comptes Rendus de l’Académie d’Agriculture de France, 88(7): 97-98.

Lavabre, J., V. Andréassian, & O. Laroussinie, 2002. Les eaux et les forêts. La forêt : un outil de gestion des eaux? La Houille Blanche, n°3: 72-77, https://dx.doi.org/10.1051/lhb/2002047

Andréassian, V., M. Tangara & J. Muraz, 2001. Evaluer l’impact de l’évolution du couvert forestier sur le comportement hydrologique des bassins versants : méthodologie et premiers résultats fondés sur les données de l’IFN. Revue Forestière Française, LIII (3-4): 475-480.

Lavabre, J. & V. Andréassian, 2000. Eaux et forêts. La forêt : un outil de gestion des eaux ? Cemagref, Antony. 147 p.

20.         Climatic Variability, Climate Change, Changing Catchments & Model Extrapolation Capacity

Santos, L., V. Andréassian, T.O. Sonnenborg, G. Lindström, A. de Lavenne, C. Perrin, L. Collet and G. Thirel. 2025. Lack of robustness of hydrological models: a large-sample diagnosis and an attempt to identify the hydrological and climatic drivers. Hydrol. Earth Syst. Sci., 29, 683–700, https://doi.org/10.5194/hess-29-683-2025

Strohmenger, L., Collet, L., Andréassian, V., Corre, L., Rousset, F. & Thirel, G. 2024. Köppen–Geiger climate classification across France based on an ensemble of high-resolution climate projections. Comptes Rendus. Géoscience, 356: 67-82. https://doi.org/10.5802/crgeos.263

Lemoine, A., Ramos, M.-H., Andréassian, V. 2022. Impacts des changements climatiques sur la gestion par courbes guides des réservoirs hydroélectriques. La Houille Blanche, https://doi.org/10.1080/27678490.2022.2101393

Royer-Gaspard, P., V. Andréassian & G. Thirel. 2021. Technical note: PMR – a proxy metric to assess hydrological model robustness in a changing climate. Hydrology and Earth System Sciences, 25, 5703–5716. https://doi.org/10.5194/hess-25-5703-2021

Nicolle, P., V. Andréassian, P. Royer-Gaspard, C. Perrin, G. Thirel, L. Coron, & L. Santos. 2021. Technical Note – RAT: a Robustness Assessment Test for calibrated and uncalibrated hydrological models. Hydrology and Earth System Sciences, 25, 5013–5027. https://doi.org/10.5194/hess-25-5013-2021

Bourgin, P.-Y., V. Andréassian & M. Riffard-Chenet. Elasticité des débits aux précipitations en Afrique sub-saharienne. La Houille Blanche, 6: 97-104. https://doi.org/10.1051/lhb/2021005

Andréassian, V., L. Coron, J. Lerat, and N. Le Moine. 2016. Climate elasticity of streamflow revisited – an elasticity index based on long-term hydrometeorological records. Hydrology and Earth System Sciences, 20, 4503–4524, https://dx.doi.org/10.5194/hess-20-4503-2016

Brigode P., E. Paquet, P. Bernardara, J. Gailhard, F. Garavaglia, P. Ribstein, F. Bourgin, C. Perrin, V. Andréassian. 2015. Dependence of model-based extreme flood estimation on the calibration period: the case study of the Kamp River (Austria), Hydrological Sciences Journal, 60(7-8): 1424-1437, https://dx.doi.org/10.1080/02626667.2015.1006632

Coron L., V. Andréassian, C. Perrin, N. Le Moine. 2015. Graphical tools based on Turc-Budyko plots to detect changes in catchment behaviour. Hydrological Sciences Journal, 60(7-8): 1394-1407. https://dx.doi.org/10.1080/02626667.2014.964245

Thirel G., V. Andréassian, C. Perrin. 2015. Editorial: On the need to test hydrological models under changing conditions, Hydrological Sciences Journal, 60(7-8): 1165-1173, https://dx.doi.org/10.1080/02626667.2015.1050027

Thirel, G., V. Andréassian, C. Perrin, J.-N. Audouy, L. Berthet, P. Edwards, N. Folton, C. Furusho, A. Kuentz, J. Lerat, G. Lindström, E. Martin, T. Mathevet, R. Merz, J. Parajka, D. Ruelland & J. Vaze. 2015. Hydrology under change: An evaluation protocol to investigate how hydrological models deal with changing catchments. Hydrological Sciences Journal, 60 (7-8): 1184-1199, https://dx.doi.org/10.1080/02626667.2014.967248

Folton, N., V. Andréassian, R. Duperray. 2015. Hydrological impact of forest-fire from paired-catchment and rainfall–runoff modelling perspectives, Hydrological Sciences Journal, 60(7-8): 1213-1224. https://dx.doi.org/10.1080/02626667.2015.1035274

Kuentz, A., T. Mathevet, D. Cœur, C. Perret, J. Gailhard, L. Guérin, Y. Gash & V. Andréassian. 2014. Hydrométrie et hydrologie historiques du bassin de la Durance. La Houille Blanche, 4: 57-63. https://dx.doi.org/10.1051/lhb/2014039

Coron, L., V. Andréassian, C. Perrin, M. Bourqui, and F. Hendrickx. 2014. On the lack of robustness of hydrologic models regarding water balance simulation – a diagnostic approach on 20 mountainous catchments using three models of increasing complexity. Hydrology and Earth System Sciences, 18: 727-746, https://dx.doi.org/10.5194/hess-18-727-2014

Kuentz, A., T. Mathevet, J. Gailhard, C. Perret & V. Andréassian. 2013. Over 100 years of climatic and hydrologic variability of a Mediterranean and mountainous watershed: the Durance River. IAHS Publication 360: 19-25.

Refsgaard J.C., H. Madsen, V. Andréassian, K. Arnbjerg-Nielsen, T.A. Davidson, M. Drews, D.P. Hamilton, E. Jeppesen, E. Kjellström, J.E. Olesen, T.O. Sonnenborg, D. Trolle, P. Willems, J.H. Christensen. 2013. A framework for testing the ability of models to project climate change and its impacts. Climatic Change, 122(1-2): 271-282. https://dx.doi.org/10.1007/s10584-013-0990-2.

Andréassian, V., 2012. Visualising the hydrological signature of an unsteady land cover – an application to deforested and afforested catchments in Australia, the USA and France. IAHS Publication 353: 125-134.

Coron, L., V. Andréassian, C. Perrin, J. Lerat, J. Vaze, M. Bourqui, and F. Hendrickx, 2012. Crash testing hydrological models in contrasted climate conditions: An experiment on 216 Australian catchments, Water Resources Research, 48, W05552, https://dx.doi.org/10.1029/2011WR011721

Coron, L., Andréassian, V., Bourqui, M., Perrin, C. and Hendrickx, F., 2011. Pathologies of hydrological models used in changing climatic conditions: a review, Hydro-Climatology: Variability and Change. IAHS Publication 344: 39-44.

Le Moine, N., Andréassian, V., Perrin, C. & Michel, C., 2007. ‘Outlier’ catchments: what can we learn from them in terms of prediction uncertainty in rainfall-runoff modelling? In: E. Boegh et al. (Editors), Quantification and Reduction of Predictive Uncertainty for Sustainable Water Resources Management, IAHS Publication 313: 195-203.

Andréassian, V., Parent, E., and Michel, C., 2003. A distribution-free test to detect gradual changes in watershed behavior. Water Resources Research, 39(9): 1252, doi : 10.1029/2003WR002081

21.         Smart Tricks for Hydrological Modelling

Lerat, J., Chiew, F., Robertson, D., Andréassian, V., & Zheng, H. 2024. Data Assimilation Informed model Structure Improvement (DAISI) for robust prediction under climate change: Application to 201 catchments in southeastern Australia. Water Resour. Res., 60, e2023WR036595. https://doi.org/10.1029/2023WR036595

Peredo D., M.-H. Ramos, V. Andréassian & L. Oudin. 2022. Investigating hydrological model versatility to simulate extreme flood events. Hydrological Sciences Journal, 67: 628–645, https://doi.org/10.1080/02626667.2022.2030864

Pelletier, A., & V. Andréassian. 2020. Hydrograph separation: an impartial parameterisation for an imperfect method. Hydrology and Earth System Sciences, 24, 1171–1187, https://doi.org/10.5194/hess-24-1171-2020

Terrier, M., C. Perrin; A. de Lavenne, V. Andréassian, J. Lerat & J. Vaze. 2020. Streamflow Naturalization Methods: a Review. Hydrological Sciences Journal, https://doi.org/10.1080/02626667.2020.1839080

Nicolle, P., V. Andréassian & E. Sauquet. 2013. Blending neighbor-based and climate-based information to obtain robust low-flow estimates from short time series. Water Resources Research, 49, https://dx.doi.org/10.1002/2012WR012940

Payan, J. L., C. Perrin, V. Andréassian, C. Michel 2008. How can man-made water reservoirs be accounted for in a lumped rainfall-runoff model? Water Resources Research, 44, W03420, https://dx.doi.org/10.1029/2007WR005971

Oudin, L., Andréassian, V., Mathevet, T., Perrin, C. & Michel, C. 2006. Dynamic averaging of rainfall-runoff model simulations from complementary model parameterizations, Water Resources Research, 42(7), W07410, https://dx.doi.org/10.1029/2005WR004636

Moulin, L., Perrin, C., Michel, C. & Andréassian, V. 2005. Prise en compte de barrages-réservoirs dans un modèle pluie-débit global : application au cas du bassin de la Seine amont (Taking into account water storage data in a lumped rainfall-runoff model: case study on the Seine basin). La Houille Blanche, 5, 79-87, https://dx.doi.org/10.1051/lhb:200505008

Michel, C., Andréassian, V. & Perrin, C. 2005. Soil Conservation Service Curve Number method: How to mend a wrong soil moisture accounting procedure? Water Resources Research, 41, W02011, https://dx.doi.org/10.1029/2004WR003191

Michel, C., Perrin, C. and Andréassian, V., 2003. The exponential store: a correct formulation for rainfall–runoff modelling. Hydrological Sciences Journal, 48(1): 109-124,  https://dx.doi.org//10.1623/hysj.48.1.109.43484

22.         Model Comparisons

Thirel, G., V. Andréassian, C. Perrin, J.-N. Audouy, L. Berthet, P. Edwards, N. Folton, C. Furusho, A. Kuentz, J. Lerat, G. Lindström, E. Martin, T. Mathevet, R. Merz, J. Parajka, D. Ruelland & J. Vaze. 2015. Hydrology under change: An evaluation protocol to investigate how hydrological models deal with changing catchments. Hydrological Sciences Journal, 60 (7-8): 1184-1199, https://dx.doi.org/ 10.1080/02626667.2014.967248

Smith, M., Koren, V., Zhang, Z., Moreda, F., Cui, Z., Cosgrove, B., Mizukami, N., Kitzmiller, D., Ding, F., Reed, S., Anderson, E., Schaake, J., Zhang, Y., Andréassian, V., Perrin, C., Coron, L., Valéry, A., Khakbaz, B., Sorooshian, S., Behrangi, A., Imam, B., Hsu, K-L., Todini, E., Coccia, G., Mazzetti, C., Andres, E.O., Francés, F., Orozco, I., Hartman, R., Henkel, A., Fickenscher, P., Staggs, S. 2013. The Distributed Model Intercomparison Project - Phase 2: Experiment Design and Summary Results of the Western Basin Experiments, Journal of Hydrology, 507:300-329. https://dx.doi.org/10.1016/j.jhydrol.2013.08.040

Andréassian, V., Bergstrom, S., Chahinian, N., Duan, Q., Gusev, Y.M., Littlewood, I., Mathevet, T., Michel , C., Montanari, A., Moretti, G., Moussa, R., Nasonova, O.N., O’Connor, K.M., Paquet, E., Perrin, C., Rousseau, A., Schaake, J., Wagener, T. & Xie, Z., 2006. Catalogue of the models used in MOPEX 2004/2005. IAHS Publication n°307, pp. 41-93.

Chahinian, N., Andréassian, V., Duan, Q., Fortin, V., Gupta, H., Hogue, T., Mathevet, T., Montanari, A., Moretti, G., Moussa, R., Perrin, C., Schaake, J., Wagener, T. & Xie, Z., 2006. Compilation of the MOPEX 2004 results. IAHS Publication n°307, 313-338.

Chahinian, N., Mathevet, T., Habets, F. & Andréassian, V., 2006. The MOPEX 2004 French database: main hydrological and morphological characteristics, IAHS Publication n°307, pp. 29-40.

Duan, Q., Schaake, J., Andréassian, V., Franks, S., Goteti, G., Gupta, H.V., Gusev, Y.M., Habets, F., Hall, A., Hay, L., Hogue, T., Huang, M., Leavesley, G., Liang, X., Nasonova, O.N., Noilhan, J., Oudin, L., Sorooshian, S., Wagener, T. & Wood, E.F., 2006. Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops. Journal of Hydrology, 320(1-2), 3-17, https://dx.doi.org//10.1016/j.jhydrol.2005.07.031

Wagener, T., Hogue, T., Schaake, J., Duan, Q., Gupta, H., Andréassian, V., Hall, A. & Leavesley, G., 2006. The Model Parameter Experiment (MOPEX): its structure, connection to other international initiatives and future directions. IAHS Publication n°307, 339-346.

23.         Model Coupling

Lerat, J., Perrin, C., Andréassian, V., Loumagne, C., Ribstein, P. 2012. Towards robust methods to couple lumped rainfall-runoff models and hydraulic models: A sensitivity analysis on the Illinois River. Journal of Hydrology, Vol. 418-419, 123-135, https://dx.doi.org/10.1016/j.jhydrol.2009.09.019

24.         Water Resources

Andréassian, V., J. Margat, G. Thirel & P. Hubert. 2015. What part of natural flow can be considered a ‘water resource’? In: Cudennec, C; Demuth, S; Mishra, A; editors. Proceedings of the 11th Kovacs Colloquium on Hydrological Sciences and Water Security: Past, Present and Future. IAHS Publication, 366: 86-92.

Andréassian,V. 2015. L’eau : milieu et ressource. In : Euzen, A., C. Jeandel et R. Mosseri. L’eau à découvert. CNRS Editions, Paris, p 142-143.

Andréassian, V. & J. Margat. 2014. Allons-nous manquer d’eau ? Editions le Pommier, 128 p.

Andréassian, V. & J. Margat. 2012. Rivières et Rivaux – les frontières de l'eau. Editions Quae, 136 p.

Margat, J. & V. Andréassian. 2008. L’eau, idées reçues. Editions le Cavalier Bleu, 125 p.

25.         Water Quality Modelling

Tunqui Neira, J.M., G. Tallec, V. Andréassian & J.-M Mouchel. 2024. Revisiting the Hydrograph Separation Issue Using High‑Frequency Chemical Information. Environmental Modeling & Assessment, 29: https://doi.org/10.1007/s10666-024-09963-z

Tunqui Neira, J.M., V. Andréassian, G. Tallec, & J.-M Mouchel. 2021. Multi-objective fitting of concentration-discharge relationships. Hydrological Processes, 35, e14428. https://doi.org/10.1002/hyp.14428

Tunqui Neira, J.M., V. Andréassian, G. Tallec & J.M. Mouchel. 2020. A two-sided affine power scaling relationship to represent the concentration–discharge relationship; Hydrology and Earth System Sciences, 24, 1823–1830. https://doi.org/10.5194/hess-24-1823-2020

Tunqui Neira, J. M. T., G. Tallec, V. Andréassian & J.M. Mouchel. 2020. A combined mixing model for high-frequency concentration-discharge relationships. Journal of Hydrology, 591: 125559. https://doi.org/10.1016/j.jhydrol.2020.125559

Meybeck, M., Z. Idlafkih, N. Fauchon, and V. Andréassian. 1999. Spatial and temporal variability of Total Suspended Solids in the Seine Basin. Hydrobiologia, 410: 295-306, http://dx.doi.org/10.1023/A:1003712032230

26.         Satellite Rainfall

Brochart, D. & V. Andréassian. 2015. Correction des estimations des pluies par satellite pour les bassins versants de Guyane française. Bull. Séanc. Acad. R. Sci. Outre-Mer, 60 (2014-2): 361-370.

27.         Hydrological Maps

Brigode, P., D. Lilas, V. Andréassian, P. Nicolle, N. Le Moine, C. Perrin, S. Gremminger et B. Augeard. 2019. Une cartographie de l’écoulement des rivières de Corse. La Houille Blanche, n°1, p. 68-77. https://dx.doi.org/10.1051/lhb/2019009

28.         Other Topics

Bathelemy, R., P. Brigode, V. Andréassian, C. Perrin, V. Moron, C. Gaucherel, E. Tric and D. Boisson. 2024. Simbi: historical hydro-meteorological time series and signatures for 24 catchments in Haiti. Earth Syst. Sci. Data, 16: 2073–2098. https://doi.org/10.5194/essd-16-2073-2024

Andréassian, V., V. Plagnes, C. Simmons, P. Ribstein. 2023. A Hydrogeological Acrostic: in honour of Ghislain de Marsily. Comptes Rendus. Géoscience, 355(S1), https://doi.org/10.5802/crgeos.229

Archfield, S., M. Clark, B. Arheimer, L. Hay, H. McMillan, J. Kiang, J. Seibert, K. Hakala, A. Bock, T. Wagener, W. Farmer, V. Andréassian, S. Attinger, A. Viglione, R. Knight , S. Markstrom, T. Over. 2015. Accelerating advances in continental domain hydrologic modelling. Water Resources Research, 51(12): 10078–10091. https://dx.doi.org/10.1002/2015WR017498

Wasson, J.-G., Tusseau-Vuillemin, M.-H., Andréassian, V., Perrin, C., Faure, J.-B., Barreteau, O., Bousquet, M. and Chastan, B., 2003. What kind of water models are needed for the implementation of the European Water Framework Directive? Examples from France. International Journal of River Basin Management, 1(2): 125-135, https://dx.doi.org/10.1080/15715124.2003.9635199

29.         For children

Andréassian, V. & J. Lerat, 2007. Le surprenant cycle de l’eau. Editions le Pommier, 59 p. (pour enfants)

30.         Popular Science Books

Andréassian, V. & R. Westenrieder. 2024. La crise du Rhin et les Rheinlieder [The Rhein Crisis and the Rheinlieders]. Association des Presses Universitaires de Strasbourg, Strasbourg, 185 p.

Lefèvre, D. & V. Andréassian, 2016. L'eau en péril ? [Water in peril]. Editions Quae, 168 p.

Andréassian, V. & J. Margat, 2014. Allons-nous manquer d’eau ? [Will we lack water? augmented edition] Editions le Pommier, 128 p.

Andréassian, V. & J. Margat, 2012. Rivières et Rivaux – les frontières de l'eau. [Rivers and Rivals – the borders of water]. Editions Quae, 136 p.

·         [Prix Charles Grad of the Société de Géographie (2012)]

·         [Prix Ptolémée of the Festival de Géographie de St Dié (2012)]

Margat, J. & V. Andréassian, 2008. L’eau, idées reçues [Water, commonplace ideas]. Editions le Cavalier Bleu, Paris, 125 p.

Andréassian, V. & J. Lerat, 2007. Le surprenant cycle de l’eau [The amazing water cycle]. Editions le Pommier, Paris, 59 p. (for children)

·         [Translated in Korean, Dasan, Seoul, 2012]

·         [Translated in Chinese: 2010]

·         [Translated in Spanish: El sorprendente mundo del agua, Oniro, Barcelona, 2008]

·         [Translated in Italian: L'acqua… dal fiume al bicchiere, Dedalo, Bari, 2008]

Andréassian, V. & J. Margat, 2005. Allons-nous manquer d’eau ? [Will we lack water?] Editions le Pommier, Paris, 59 p.

·         [Translated in Korean: 2007]

Andréassian, V., 2005. Pourquoi les rivières débordent-elles ? [Why do river overtop their banks?] Editions le Pommier, Paris, 63 p.

31.         Popular science articles

Margat, J. & V. Andréassian. 2010. L'eau a-t-elle un prix ? [Has water a price?] Analyse Financière n°26: 24-25.

Andréassian, V., & J. Margat 2010. Une ressource naturelle pas comme les autres. [Water: a different natural resource] Analyse Financière n°26: 20-21.

Andréassian, V. 2008. Quel effet la forêt a-t-elle sur les écoulements ? [What is the impact of forest on streamflow?] Dossier Pour la Science (L'eau. Attention fragile !) n°58: 38-41.

32.         Scientific & Technical Books

Andréassian, V., A. Hall, N. Chahinian, J. Schaake (editors), 2006. Large sample basin experiments for hydrological model parameterization. IAHS Red Book Series n°307, Wallingford. 347 p.

Andréassian, V., V. Sarkissian, W. Chełmicki, V.Al. Stănescu & R. Moussa, 2005. Dictionary of hydrological engineering: English, French, Armenian, Russian, Polish, Romanian, Arabic. Cemagref éditions, Antony. 214 p. https://dx.doi.org/10.35690/978-2-7592-3299-4.

Freely accessible at https://www.quae-open.com/extract/575

Lavabre, J. & V. Andréassian, 2000. Eaux et forêts. La forêt : un outil de gestion des eaux ? [Waters and Forests. Can forest be a water management tool?] Cemagref éditions, Antony. 147 p.