↑ Revenir à PUBLICATIONS

Articles

Sous presse, version en ligne ou ouvert à l’évaluation par les pairs :

Engeland, K., Borga, M., Creutin, J.-D., François, B., Ramos, M.-H., Vidal, J.-P., 2017: Space-time variability of climate variables and intermittent renewable electricity production – a review. Renewable & Sustainable Energy Reviews, accepted.

Thiboult, A., Anctil, F., Ramos, M.-H., 2017: How does the quantication of uncertainties affect the quality and value of food early warning systems? Journal of Hydrology, accepted.

2017 :

de Boer-Euser, T., Bouaziz, L., De Niel, J., Brauer, C., Dewals, B., Drogue, G., Fenicia, F., Grelier, B., Nossent, J., Pereira, F., Savenije, H., Thirel, G., and Willems, P., 2017: Looking beyond general metrics for model comparison – lessons from an international model intercomparison study, Hydrol. Earth Syst. Sci., 21, 423-440, DOI: 10.5194/hess-21-423-2017.

http://pursefind.com/images/new_icon.jpgCarroget, A., Perrin, C., Sauquet, E., Vidal, J.-P., Chazot, S., Chauveau, M., Rouchy, N., 2017: Explore 2070 : quelle utilisation d’un exercice prospectif sur les impacts des changements climatiques à l’échelle nationale pour définir des stratégies d’adaptation ?,[online], Revue Ressources, territoires et changement climatique , 2017, no. 22, p. 4-11. Disponible sur <URL : http://www.set-revue.fr/explore-2070-quelle-utilisation-dun-exercice-prospectif-sur-les-impacts-des-changements-climatiques> (consulté le 02/03/2017).

http://pursefind.com/images/new_icon.jpgCoron, L., Thirel, G., Delaigue, O., Perrin, C., Andréassian, V., 2017: The Suite of Lumped GR Hydrological Models in an R package, Environmental Modelling & Software, 94, 166-171, DOI: 10.1016/j.envsoft.2017.05.002.

Crochemore, L., Ramos, M.-H., Pappenberger, F., and Perrin, C, 2017: Seasonal streamflow forecasting by conditioning climatology with precipitation indices, Hydrol. Earth Syst. Sci., 21, 1573-1591, DOI: 10.5194/hess-21-1573-2017

http://pursefind.com/images/new_icon.jpgZhao, T., Bennett, J., Wang, Q.J., Schepen, A., Wood, A., Robertson D., Ramos, M.-H., 2017: How suitable is quantile mapping for postprocessing GCM precipitation forecasts? Journal of Climate, 30, 3185-3196. DOI: 10.1175/JCLI-D-16-0652.1

2016 :

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

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

Arnal, L., M.-H. Ramos, E. Coughlan, H. L. Cloke, E. Stephens, F. Wetterhall, S. J. van Andel, and F. Pappenberger, 2016: Willingness-to-pay for a probabilistic flood forecast: a risk-based decision-making game. Hydrol. Earth Syst. Sci., 20, 3109-3128. doi:10.5194/hess-20-3109-2016

Caseri, A., P., Javelle, M.-H., Ramos, E. Leblois, 2016. Generating precipitation ensembles for flood alert and risk management, Journal of Flood Risk Management, 9, 4, 402-415, DOI:10.1111/jfr3.12203.

Crochemore, L., Ramos, M.-H., and Pappenberger, F., 2016: Bias correcting precipitation forecasts to improve the skill of seasonal streamflow forecasts, Hydrol. Earth Syst. Sci., 20, 3601-3618, doi:10.5194/hess-20-3601-2016

Crochemore, L., M.-H. Ramos, F. Pappenberger, S.J. van Andel, and A. Wood, 2016: An experiment on risk-based decision-making in water management using monthly probabilistic forecasts. Bull. Amer. Meteor. Soc., 97:4, 541-551, doi:10.1175/BAMS-D-14-00270.1

*de Lavenne, A., Skøien, J. O., Cudennec, C., Curie, F. and Moatar, F., 2016. Transferring measured discharge time series: Large-scale comparison of Top-kriging to geomorphology-based inverse modeling. Water Resources Research, 52, 7, 5555-5576, doi:10.1002/2016WR018716.

Dorchies, D., G., Thirel, C., Perrin, J.-C., Bader, R., Thepot, J.-L., Rizzoli, C., Jost, S., Demerliac, 2016. Climate change impacts on water resources and reservoir management in the Seine river basin (France), La Houille Blanche (5) 32-37 (2016), DOI: 10.1051/lhb/2016047.

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

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

Hurk, B. van den, L. Bouwer, C. Buontempo, R. Döscher, E. Ercin, C. Hananel, J. Hunink, E. Kjellström, B. Klein, M. Manez, F. Pappenberger, L. Pouget, M.-H. Ramos, P. Ward, A. Weerts, J. Wijngaard, 2016: Improving Predictions and Management of Hydrological Extremes through Climate Services: www.imprex.eu. Climate Services, Volume 1, March 2016, Pages 6-11, doi:10.1016/j.cliser.2016.01.001

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

Mehreb, M., Moussa, R., Abdallah, C., Colin, F., Perrin, C. and Baghdadi, N., 2016. Hydrological response characteristics of Mediterranean catchments at different time scales: a meta-analysis. Hydrological Sciences Journal, 61, 14, doi:10.1080/02626667.2016.1140174.

Pagano, T. C., Pappenberger, F., Wood, A. W., Ramos, M.-H., Persson, A., Anderson, B., 2016: Automation and human expertise in operational river forecasting. WIRES Water 2016, 3, 5, 692-705. doi: 10.1002/wat2.1163.

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

Salavati, B., Oudin, L., Furusho-Percot, C., Ribstein, P., 2016. Modelling approaches to detect land-use changes: Urbanization analyzed on a set of 43 US catchments, Journal of Hydrology, 538, 138-151, DOI:10.1016/j.jhydrol.2016.04.010.

Sauquet, E., Y., Arama, E., Blanc-Coutagne, H., Bouscasse, F., Branger, I., Braud, J.-F., Brun, J., Cherel, T., Cipriani, T., Datry, A.,  Ducharne, F., Hendrickx, B., Hingray, F., Krowicki, I., Le Goff, M., Le Lay, C., Magand, F., Malerbe, T., Mathevet, A., Mezghani, C., Monteil, C.,  Perrin, P., Poulhe, A., Rossi, R., Samie, P., Strosser, G., Thirel, F., Tilmant, J.-P., Vidal, 2016. Le partage de la ressource en eau sur la Durance en 2050 : vers une évolution du mode de gestion des grands ouvrages duranciens ? La Houille Blanche, (5), 25-31, DOI: 10.1051/lhb/2016046.

2015 :

Archfield, S. A., Clark, M., Arheimer, B., Hay, L. E., McMillan, H., Kiang, J. E., Seibert, J., Hakala, K., Bock, A., Wagener, T., Farmer, W. H., Andréassian, V., Attinger, S., Viglione, A., Knight, R., Markstrom, S. and Over, T., 2015. Accelerating advances in continental domain hydrologic modeling. Water Resour. Res. doi:10.1002/2015WR017498.

Bourgin, F., V. Andréassian, C. Perrin, and L. Oudin , 2015. Transferring global uncertainty estimates from gauged to ungauged catchments. Hydrological and Earth System Sciences, 19, 2535-2546, 10.5194/hess-19-2535-2015.

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: case study of the Kamp River (Austria), Hydrological Sciences Journal, 60:7-8, pages 1424-1437, doi:10.1080/02626667.2015.1006632.

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

Coustau M., Rousset-Regimbeau F., Thirel G., Habets F., Janet B., Martin E., de Saint Aubin C., Soubeyroux J.-M., 2015. Impact of improved meteorological forcing, profile of soil hydraulic conductivity and data assimilation on an operational Hydrological Ensemble Forecast System over France, Journal of Hydrology, 525, Pages 781–792, ISSN 0022-1694, DOI:10.1016/j.jhydrol.2015.04.022.

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, DOI:10.1080/02626667.2014.903331

Fan, F. M., M-H Ramos, W. Collischonn, 2015. Sobre o uso de previsões hidrológicas probabilísticas para tomada de decisão [On the use of probabilistic hydrological forecasts for decision making]. Revista Brasileira de Recursos Hídricos, RBRH, vol. 20 no.4, 914-926. Versão On-line ISSN 2318-0331.

Ficchì, A., Raso, L., Dorchies, D., Pianosi, F., Malaterre, P., Van Overloop, P., and Jay-Allemand, M., 2015: Optimal Operation of the Multireservoir System in the Seine River Basin Using Deterministic and Ensemble Forecasts. Journal of Water Resources Planning and Management, 142, 1. DOI:10.1061/(ASCE)WR.1943-5452.0000571

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

Furusho, C., Perrin, C., Lamblin, R., Dorchies, D., Berthet, L., Andréassian, V., 2015. Dynamique de collaboration entre acteurs opérationnels et scientifiques pour une amélioration des systèmes de prévision des crues en France, [online], Revue SET, 6p. Available on: http://www.set-revue.fr/dynamique-de-collaboration-entre-acteurs-operationnels-et-scientifiques-pour-une-amelioration-des (last check on 6/11/2015).

La Jeunesse, I., Larrue, C., Furusho, C., Ramos, M.-H., Opeicle, A., Browne, A., De Boer, C., Vidaurre, R., 2015. Gouvernance de la sécheresse : le cas du bassin versant de la Vilaine aval (Bretagne, France) – Governance of drought: the case of the downstream Vilaine catchment (Brittany, France), [online], Revue SET, 6 p. Available on: http://www.set-revue.fr/gouvernance-eau-secheresse-bassin-versant-Vilaine-Bretagne (last check on 02/09/2015).

Munier, S., Litrico, X., Belaud, G., and Perrin, C. Assimilation of discharge data into semidistributed catchment Models for short-term flow forecasting: Case study of the Seine River basin. Journal of Hydrologic Engineering, Volume 20, Issue 5 (May 2015), doi:10.1061/(ASCE)HE.1943-5584.0001054.

Pappenberger, F., Ramos, M.H., Cloke, H.L., Wetterhall, F., Alfieri, L., Bogner, K., Mueller, A., Salamon, P., 2015. How do I know if my forecasts are better? Using benchmarks in Hydrological Ensemble Prediction, Journal of Hydrology, 522, Pages 697-713, ISSN 0022-1694, doi:10.1016/j.jhydrol.2015.01.024.

Salavati, B., Oudin, L., Furusho, C., Ribstein, P., 2015. Évaluation de l’impact de l’urbanisation sur la réponse hydrologique de 172 bassins versants américains. La Houille Blanche (3) 51-57. DOI:10.1051/lhb/20150033

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

Thirel, G., Andréassian, V., Perrin, C., 2015. On the need to test hydrological models under changing conditions. Hydrological Sciences Journal, 60:7-8, pages 1165-1173, DOI:10.1080/02626667.2015.1050027.

2014 :

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, doi: 10.1002/2013WR014761.

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

Coron, L., V. Andreassian, C. Perrin, M. Bourqui, and F. Hendrickx, 2014. On the lack of robustness of hydrologic models regarding water balance simulation: a diagnostic approach applied to three models of increasing complexity on 20 mountainous catchments.Hydrology and Earth System Sciences, 1818, 727-746. doi:10.5194/hess-18-727-2014

Dorchies, D., Thirel, G., Jay-Allemand, M., Chauveau, M., Dehay, F., Bourgin, P.-Y., Perrin, C., Jost, C., Rizzoli, J.-L., Demerliac, S., Thépot, R., 2014. Climate change impacts on multi-objective reservoir management: case study on the Seine River basin, France. International Journal of River Basin Management, 12(3): 265-283, doi:10.1080/15715124.2013.865636.

François, B., Borga, M., Anquetin, S., Creutin, J. D., Engeland, K., Favre, A. C., Hingray, B., Ramos, M. H., Raynaud, D., Renard, B., Sauquet, E., Sauterleute, J. F., Vidal, J. P. and Warland, G., 2014. Integrating hydropower and intermittent climate-related renewable energies: a call for hydrology. Hydrol. Process., 28(21): 5465-5468. doi: 10.1002/hyp.10274.

Gupta, H.V., Perrin, C., Blöschl, G., Montanari, A., Kumar, R., Clark, M., Andréassian, V., 2014. Large-sample hydrology: A need to balance depth with breadth. Hydrology and Earth System Sciences, 18 (2) PP. 463 – 477, doi: 10.5194/hess-18-463-2014.

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. doi: 10.1051/lhb/2014039.

Lebecherel, L., Andréassian, V., Perrin, C., Maugis, P., 2014. Analyse de la sensibilité des calculs hydrologiques à la densité spatiale des réseaux hydrométriques, Houille Blanche, (1), pp. 39-44. doi: 10.1051/lhb/2014006.

Lobligeois, F., Andréassian, V., Perrin, C., Tabary, P.,Loumagne, C., 2014. When does higher spatial resolution rainfall information improve streamflow simulation? An evaluation using 3620 flood events. Hydrology and Earth System Sciences, 18 (2) PP. 575 – 594, doi: 10.5194/hess-18-575-2014.

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

Pagano, T. C., Wood, A. W., Ramos, M.-H., Cloke, H. L., Pappenberger, F., Clark, M. P., Cranston, M., Kavetski, D., Mathevet, T., Sorooshian, S. and Verkade, J. S. (2014). Challenges of Operational River Forecasting. Journal of Hydrometeorology, 15, 1692–1707, DOI: 10.1175/JHM-D-13-0188.1.

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, doi: 10.1080/02626667.2013.842282.

Randrianasolo, A., Thirel, G., Ramos, M.-H., Martin, E., 2014. Impact of streamflow data assimilation and length of the verification period on the quality of short-term ensemble hydrologic forecasts, Journal of Hydrology, 519, Part D, 2676–2691, DOI: 10.1016/j.jhydrol.2014.09.032.

Refsgaard, J.C., Madsen, H., Andréassian, V., Arnbjerg-Nielsen, K., Davidson, T.A., Drews, M., Hamilton, D.P., Jeppesen, E., Kjellström, E., Olesen, J. E., Sonnenborg, T. O., Trolle, D., Willems, P., Christensen, J.H., 2014. A framework for testing the ability of models to project climate change and its impacts. Climatic Change, 122 (1-2)  PP. 271 – 282, doi:10.1007/s10584-013-0990-2.

Valéry, A., Andréassian, V., Perrin, C., 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(0): 1166-1175, doi: 10.1016/j.jhydrol.2014.04.059.

Valéry, A., Andréassian, V., Perrin, C., 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(0): 1176-1187, doi: 10.1016/j.jhydrol.2014.04.058.

2013 :

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, doi:10.1016/j.envsoft.2012.09.011.

Brigode, P., L. Oudin et C. Perrin, 2013. Hydrological model parameter instability: A source of additional uncertainty in estimating the hydrological impacts of climate change? Journal of Hydrology 476: 410-425, doi: 10.1016/j.jhydrol.2012.11.012.

Chauveau, M., S. Chazot, C. Perrin, P.-Y. Bourgin, E. Sauquet, J.-P. Vidal, N. Rouchy, E. Martin, J. David, T. Norotte, P. Maugis et X. De Lacaze, 2013. Quels impacts des changements climatiques sur les eaux de surface en France à l’horizon 2070 ? (What will be the impacts of climate change on surface hydrology in France by 2070?). La Houille Blanche(4): 5-15, doi: 10.1051/lhb/2013027.

Cloke, H.L., F., Pappenberger, S.J., van Andel, J., Schaake, J., Thielen, M.-H., Ramos, 2013. Hydrological ensemble prediction systems. Preface to the Special Issue: Hydrological Ensemble Prediction Systems (HEPS). Hydrological Processes, 27 (1), pp. 1-4, DOI: 10.1002/hyp.9679.

*Furusho,C., Chancibault,K., Andrieu, H., 2013. Analysis of the hydrological behaviour of an urbanizing basin. Hydrological Processes. DOI: 10.1002/hyp.9706

Lebecherel, L., V. Andréassian et C. Perrin, 2013. On regionalizing the Turc-Mezentsev water balance formula. Water Resources Research 49: 7508-7517, doi: 10.1002/2013WR013575.

Nicolle, P., V. Andréassian et E. Sauquet, 2013. Blending neighbor-based and climate-based information to obtain robust low-flow estimates from short time series. Water Resources Research 49(12): 8017-8025, doi: 10.1002/2012WR012940.

Ramos, M.H., S.J., Van Andel, and F., Pappenberger, 2013. Do probabilistic forecasts lead to better decisions? Hydrology and Earth System Sciences, 17 (6), pp. 2219-2232, doi:10.5194/hess-17-2219-2013.

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., Ortiz Andres, E., 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  PP. 300 – 329, doi: 10.1016/j.jhydrol.2013.08.040.

*Thirel, G., P. Salamon, P. Burek et M. Kalas, 2013. Assimilation of MODIS snow cover area data in a distributed hydrological model using the particle filter. Remote Sensing 5(11): 5825-5850, DOI: 10.3390/rs5115825.

*Trinh, B. N., J. Thielen del-Pozo et G. Thirel, 2013. The reduction continuous rank probability score for evaluating discharge forecasts from hydrological ensemble prediction systems. Atmospheric Science Letters 14(2): 61-65, doi: 10.1002/asl2.417.

van Esse, W. R., C. Perrin, M. J. Booij, D. C. M. Augustijn, F. Fenicia, D. Kavetski et F. Lobligeois, 2013. The influence of conceptual model structure on model performance: a comparative study for 237 French catchments. Hydrol. Earth Syst. Sci. 17(10): 4227-4239, doi: 10.5194/hess-17-4227-2013.

2012 :

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; http://dx.doi.org/10.1002/hyp.9264

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

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

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 (2) : 12-17., http://dx.doi.org/10.1051/lhb/2012010.

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 Resour. Res., 48, W05552, doi:10.1029/2011WR011721

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 Resour. Res., Vol. 48, No. 2, W02511, doi:10.1029/2010WR010179

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, doi:10.1016/j.jhydrol.2009.09.019

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, doi: 10.1051/lhb/2012012.

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, doi:10.1016/j.jhydrol.2011.11.055.

Seiller, G., Anctil, F. and Perrin, C., 2012. Multimodel evaluation of twenty lumped hydrological models under contrasted climate conditions. Hydrology and Earth System Sciences, 16(4): 1171-1189, doi:10.5194/hess-16-1171-2012.

*Thirel,G., Notarnicola, C., Kalas, M., Zebisch,  M., Schellenberger,T., Tetzlaff, A., Duguay, M., Moelg, N., Burek, P. and  de Roo, A., 2012.  Assessing the quality of a real-time Snow Cover Area product for hydrological applications, Remote Sensing of Environment, 127: 271-287, ISSN 0034-4257, 10.1016/j.rse.2012.09.006

Zalachori, I., Ramos, M.H., Garçon, R., Mathevet, T., Gailhard, J., 2012. Statistical processing of forecasts for hydrological ensemble prediction: a comparative study of different bias correction strategies. Advances in Science & Research, vol. 8, p. 135 – 141. doi:10.5194/asr-8-135-2012

2011 :

Bachoc, A., Garçon, R., Daly, F., Gautheron, A., Gaume, E., Perrin, C., Obled, C. and Lepelletier, T., 2011. Besoins operationnels et progrès actuels en matière de connaissance des phenomènes physiques dans l’hydrologie des crues. La Houille Blanche, 1: 14-21, DOI: 10.1051/lhb/2011001.

Ben Daoud, A., Sauquet, E., Ramos, M.H., Lang, M., 2011. Peut-on étendre l’échéance de prévision des crues en optimisant la prévision de pluies par recherche d’analogues ? Application au bassin de la Seine à Paris. La Houille Blanche, 1: 37-43, DOI: 10.1051/lhb/2011004.

Lacaze, Y., Chesneau, S., Raimbault, E., Piotte, O., Silva, J.P., Perrin, C., Andreassian, 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, DOI: 10.1051/lhb/2011002.

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, doi:10.1016/j.jhydrol.2011.09.034.

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

Velazquez, J.A., Anctil, F., Ramos, M.H., Perrin, C., 2011. Can a multi-model approach improve hydrological ensemble forecasting? A study on 29 French catchments using 16 hydrological model structures. Advances in Geosciences, 29: 33-42, doi:10.5194/adgeo-29-33-2011.

Yi, H., Pappenberger, F., Thielen-del Pozo, J., Weerts , A., Ramos, M.H., Bruen, M. (2011) Towards practical applications in ensemble hydro-meteorological forecasting. Preface of the Special Issue in Advances in Geosciences, 29: 119-121, doi:10.5194/adgeo-29-119-2011.

2010 :

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, DOI: 10.1080/02626667.2010.506050.

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. DOI: 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. DOI: 10.1080/02626667.2010.505891

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. DOI: 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, doi:10.1029/2009WR008887

Paris Anguela, T., Zribi, M., Baghdadi, N. and Loumagne, C., 2010. Analysis of Local Variation of Soil Surface Parameters With TerraSAR-X Radar Data Over Bare Agricultural Fields. Ieee Transactions on Geoscience and Remote Sensing, 48(2): 874-881, DOI: 10.1109/TGRS.2009.2028019.

Pappenberger, F., Zappa, M. Smith, P.J. Ramos, M.H., Cloke, H.L., He, Y., Wetterhall, F., Rossa, A., Schaake, J., Thielen, J. (2010) Reply to “Ensemble, uncertainty and flood prediction” by Dance, S. and Zou, Q.P.Hydrology and Earth System Sciences Discussions, 7 (3), 15 p.

Ramos, M.H., Mathevet, T., Thielen, J. and Pappenberger, F., 2010. Communicating uncertainty in hydro-meteorological forecasts: mission impossible? Meteorological Applications, 17(2), 223-235: doi: 10.1002/met.202.

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

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. DOI: 10.1080/02626667.2010.504676

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. doi: 10.1002/hyp.7217.

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. Hydrol. Earth. Syst. Sci. 13, 1757-1764, doi:10.5194/hess-13-1757-2009.

*Bartholmes, J.C., Thielen, J., Ramos, M.H., Gentilini, S., 2009. The European Flood Alert System EFAS – Part 2: Statistical skill assessment of probabilistic and deterministic operational forecasts. Hydrology and Earth System Sciences, 13 (2): 141–153, doi:10.5194/hess-13-141-2009.

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. Hydrolology and Earth System Sciences 13(6), 819–831, doi:10.5194/hess-13-819-2009.

*Thielen, J., Bartholmes, J., Ramos, M.H., de Roo, A., 2009. The European Flood Alert System – Part 1: Concept and development. Hydrology and Earth System Sciences, 13 (2): 125–140, doi:10.5194/hess-13-125-2009.

2008 :

Baghdadi, N., Zribi, M., Loumagne, C., Ansart, P. and Anguela, T.P., 2008. Analysis of TerraSAR-X data and their sensitivity to soil surface parameters over bare agricultural fields. Remote Sensing of Environment, 112(12): 4370-4379, DOI: 10.1016/j.rse.2008.08.004.

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

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. DOI: 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 Resour. Res.44, W03413, doi:10.1029/2007WR006240.

Paris Anguela, T., Zribi, M., Hasenauer, S., Habets, F. and Loumagne, C., 2008. Analysis of surface and root-zone soil moisture dynamics with ERS scatterometer and the hydrometeorological model SAFRAN-ISBA-MODCOU at Grand Morin watershed (France). Hydrology and Earth System Sciences, 12(6): 1415-1424, doi:10.5194/hess-12-1415-2008.

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 Resour. Res.44, W03420, doi:10.1029/2007WR005971.

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, doi:10.1029/2007WR006579.

*Sauquet, E., Ramos, M.H., Chapel, L. and Bernardara, P., 2008. Streamflow scaling properties: investigating characteristic scales from different statistical approaches. Hydrological Processes, 22(17): 3462-3475, DOI: 10.1002/hyp.6952 .

*Younis, J., Ramos, M.H., Thielen, J., 2008. EFAS forecasts for the March-April 2006 flood in the Czech part of the Elbe River Basin – a case study. Atmospheric Science Letters, 9 (2): 88-94, DOI: 10.1002/asl.179 .

2007 :

Andréassian, V., J. Lerat, C. Loumagne, T. Mathevet, C. Michel, L. Oudin, and C. Perrin, 2007. What is really undermining hydrologic science today?, Hydrol. Processes21, 2819-2822, DOI: 10.1002/hyp.6854.

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, doi: 10.1029/2006WR005608.

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, DOI: 10.1623/hysj.52.1.131.

*Ramos, M.H., Bartholmes, J., Thielen, J., 2007. Development of decision support products based on ensemble weather forecasts in the European Flood Alert System. Atmospheric Science Letters, 8 (4): 113-119, DOI: 10.1002/asl.161.

2006 :

Anctil, F., Lauzon, N., Andréassian, V., Oudin, L. & Perrin, C., 2006. Improvement of rainfall-runoff forecasts through mean areal rainfall optimization. J. Hydrol.doi:10.1016/j.jhydrol.2006.01.016.

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.

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, pp. 1-5.

Bourqui, M., Loumagne, C., Chahinian, N. & Plantier, M., 2006. Accounting for spatial variability: a way to improve lumped modelling approaches? An assessment on 3300 chimera catchments. IAHS Publication n°307, 300-310.

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, DOI: 10.1016/j.jhydrol.2005.07.031.

Hutchins, M., Urama, K., Penning, E., Icke, J., Dilks, C., Bakken, T., Perrin, C., Saloranta, T., Candela, L. and Kämäri, J., 2006. The model evaluation tool: guidance for applying benchmark criteria for models to be used in river basin management. Archiv für Hydrobiologie Supplement 161/1-2, Large Rivers, 17(1-2): 23-48.

Kämäri, J., Boorman, D., Icke, J., Perrin, C., Candela, L., Elorza, F.J., Ferrier, R.C., Bakken, T.H. and Hutchins, M., 2006. Process for benchmarking models: dialogue between water managers and modellers. Archiv für Hydrobiologie Supplement 161/1-2, Large Rivers, 17(1-2): 3-21.

Michel, C., 2006. Comment on « A base flow separation algorithm based on the linearized Boussinesq equation for complex hillslopes » by A.A.O. Huyck et al. Water Resources Research, 42(6): W06605, DOI: 10.1029/2005WR004571

Mouelhi, S., Michel , C., Perrin, C. & Andreassian, V., 2006. Linking stream flow to rainfall at the annual time step: the Manabe bucket model revisited. J. Hydrol. 328, 283-296, doi: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. J. Hydrol. 318(1-4), 200-214, doi:10.1016/j.jhydrol.2005.06.014.

Oudin, L., Andreassian, V., Mathevet, T., Perrin, C. & Michel, C., 2006. Dynamic averaging of rainfall-runoff model simulations from complementary model parameterizations, Water Resour. Res., 42(7), W07410, doi:10.1029/2005WR004636.

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. J. Hydrol. 320, 62-83, doi:10.1016/j.jhydrol.2005.07.016.

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.

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.

2005 :

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, DOI: 10.1016/j.jhydrol.2004.06.040.

Michel, C., 2005. Comment on A general power equation for predicting bed load transport rates in gravel bed rivers by Jeffrey J. Barry et al. Water Resources Research, 41(7): 1 pp, DOI: 10.1029/2004WR003824.

Michel, C., 2005. Discussion of « Improved decomposition solution to Green and Ampt equation » by Sergio E. Serrano. Journal of Hydrologic Engineering, 10(5): 434-435, DOI: 10.1061/(ASCE)1084-0699(2003)8:3(158).

Michel, C., 2005. Discussion of « Sampling adjustment factors for rainfall recorded at fixed time intervals » by C.Bryan Young and Bruce M. McEnroe. Journal of Hydrologic Engineering, 10(1): 89-90, DOI: 10.1061/(ASCE)1084-0699(2005)10:1(89).

Michel, C., 2005. Discussion of Simplified Two-Parameter Gamma Distribution for Derivation of synthetic Unit Hydrograph by P. K. Bhunya, S. K. Mishra, and Ronny Berndtsson. Journal of Hydrologic Engineering, 10(6): 519-520, DOI: 10.1061/(ASCE)1084-0699(2003)8:4(226).

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

Moulin, L., Perrin, C., Michel , C. & Andreassian, 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, DOI: 10.1051/lhb:200505008.

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. J. Hydrol. 303(1-4), 290-306, DOI: 10.1016/j.jhydrol.2004.08.026.

Oudin, L., Michel, C. & Anctil, F., 2005. Which potential evapotranspiration input for a rainfall-runoff model? Part 1 – Can rainfall-runoff models effectively handle detailed potential evapotranspiration inputs? J. Hydrol. 303(1-4), 275-289, DOI: 10.1016/j.jhydrol.2004.08.025.

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. Hydrol. Processes 19(20), 4093-4106, DOI: 10.1002/hyp.5874.

2004 :

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, DOI: 10.1016/j.jhydrol.2003.09.006.

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, DOI: 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, doi : 10.1029/2003WR002854.

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

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

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, DOI: 10.1016/j.jhydrol.2003.09.030.

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), doi : 0.1029/2004WR003291.

2003 :

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, DOI: 10.1111/j.1752-1688.2003.tb03708.x.

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.

Aubert, D., Loumagne, C., Oudin, L. et Le Hégarat-Mascle, S., 2003. Assimilation of soil moisture into hydrological models: the sequential method. Canadian Journal of Remote Sensing, 29(6) : 711-1717,DOI: 10.5589/m03-042.

Aubert, D., Loumagne, C. et Oudin, L., 2003. Sequential assimilation of soil moisture and streamflow data in a conceptual rainfall-runoff model. Journal of Hydrology, 280(1-4) : 145-161, DOI: 10.1016/S0022-1694(03)00229-4.

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, DOI: 10.1623/hysj.48.1.109.43484.

Oudin, L., Weisse, A., Loumagne, C. et Le Hegarat-Mascle, S., 2003. Assimilation of soil moisture into hydrological models for flood forecasting: a variational approach. Canadian Journal of Remote Sensing, 29(6) : 679-686, DOI: 10.5589/m03-038.

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

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, DOI: 10.1080/15715124.2003.9635199 .

Weisse, A., Oudin, L. et Loumagne, C., 2003. Assimilation de données d’humidité des sols pour la prévision des crues: comparaison d’un modèle pluie-débit conceptuel et d’un modèle intégrant une interface sol-végétation-atmosphère. Revue des Sciences de l’Eau, 16(2) : 173-197.

1999-2002 :

Andréassian, V. and Lavabre, J., 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.

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, doi:10.1016/S0022-1694(01)00437-1.

Andréassian, V., M. Tangara et 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.

Baudez, J.C., Loumagne, C., Michel, C., Palagos, B., Gomendy, V. and Bartoli, F., 1999. Modélisation hydrologique et hétérogénéité spatiale des bassins. Vers une comparaison de l’approche globale et de l’approche distribuée. Etude et Gestion des Sols, 6(4): 165-184.

Edijatno, Nascimento, N.O., Yang, X., Makhlouf, Z. et Michel, C. (1999). GR3J : a daily watershed model with three free parameters. Hydrological Sciences Journal, 44(2), 263-278, DOI: 10.1080/02626669909492221.

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

Le Hegarat-Mascle S., Qesney A., Vidal-Madjar D., Taconet O., Normand M., Loumagne C., 2000. Land Cover discrimination from multitemporal ERS images and multispectral Landsat images : a study case in an agricultural area in France. Int. Journ.of Remote sensing, vol 21 n°3, pp 435-456, DOI: 10.1080/014311600210678.

Le Hegarat-Mascle S., Zribi M., Alem F., Weisse A., Loumagne C., 2002. Soil moisture estimation from ERS/SAR data : Toward an operationnal methodology. IEEE Trans. Geosci. Remote Sens. Vol. 40 (12), pp 2647-2658, DOI: 10.1109/TGRS.2002.806994.

Loumagne, C., Michel, C., Palagos, B., Baudez, J.C. and Bartoli, F., 1999. D’une approche globale vers une approche semi-distribuée en modélisation pluie-débit (From a global to a semi-distributed approach in rainfall-runoff modelling). La Houille Blanche(6): 81-88, doi: 10.1051/lhb/1999075.

Loumagne C., Normand M., Riffard M., Weisse A., Quesney A., Le Hegarat-Mascle S., Alem F., 2001. Methodology for integration of remote sensing data into hydrological models for reservoir management purposes. Hydrological Sciences Journal 46(1), pp.89-102, DOI: 10.1080/02626660109492802.

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

Michel, C., 1999. Comment on « Can we distinguish Richards’ and Boussinesq’s equations for hillslopes?: The Coweeta experiment revisited » by T. S. Steenhuis et al. Water Resources Research, 35(11): 3573-3573, doi:10.1029/1999WR900228.

Michel, C., 1999. Comment on « Basin-scale geohydrologic drought flow features of riparian aquifers in the southern Great Plains » by Wilfried Brutsaert and James P. Lopez. Water Resources Research, 35(3): 909-910, doi:10.1029/1998WR900076.

Perrin, C., C. Michel et 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,doi:10.1016/S0022-1694(00)00393-0.

Perrin, C., 2002. Vers une amélioration d’un modèle global pluie-débit au travers d’une approche comparative. La Houille Blanche, n°6/7 : 84-91, DOI: 10.1051/lhb/2002089.

Quesney A., Le Hegarat-Mascle S., Taconet O., Vidal-Madjar D., Wigneron J.P., Loumagne C., Normand M., 2000. Estimation of watershed soil moisture index from ERS/SAR data. Remote sensing of environment,72 : 290-303, doi:10.1016/S0034-4257(99)00102-9 .

Weisse A., Le Hegarat-Mascle S., Aubert D., Loumagne C., 2002. Le projet européen AIMWATER : Utilisation de l’humidité des sols mesurée par radar embarqué (ERS/SAR) pour la modélisation pluie-débit. La Houille Blanche (1) : 35-40, DOI: 10.1051/lhb/2002003

Yang, X. and Michel, C. – 2000. Flood forecasting with a watershed model: a new method of parameter updating. Hydrological Sciences Journal, 45(4) : 537-546, DOI: 10.1080/02626660009492355 .

 

* articles dont un des co-auteurs appartient à notre équipe, mais qui ont été principalement réalisés dans leur équipe d’appartenance précédente