Package Package airGR airGR License License GPL 2 GPL 2

airGR references

Article

  • 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. DOI: 10.1016/j.envsoft.2017.05.002.
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Manuals

Conferences

2019

2018

2017

2016

Use and mention of airGR

Articles

Upcoming

  • Barker L.J., Hannaford J., Parry S., Smith K.A., Tanguy M. & Prudhomme C. (2019). Historic hydrological droughts 1891–2015: systematic characterisation for a diverse set of catchments across the UK. Hydrology and Earth System Sciences Discussions, 1–31. OI: 10.5194/hess-2019-202
  • Smith K.A., Barker L.J., Tanguy M., Parry S., Harrigan S., Legg T.P., et al. (2019). A Multi-Objective Ensemble Approach to Hydrological Modelling in the UK: An Application to Historic Drought Reconstruction. Hydrology and Earth System Sciences Discussions, 1–26. DOI: 10.5194/hess-2019-3
  • Visser A., Beevers L. & Patidar S. (accepted) Replication of ecologically relevant hydrological indicators following a covariance approach to hydrological model parameterisation. Hydrology and Earth System Sciences Discussions, 1–24. DOI: 10.5194/hess-2018-536

2019

  • Coxon G., Freer J., Lane R., Dunne T., Knoben W.J.M., Howden N.J.K., et al. (2019). DECIPHeR v1: Dynamic fluxEs and ConnectIvity for Predictions of HydRology. Geoscientific Model Development 12, 2285–2306. DOI: 10.5194/gmd-12-2285-201
  • Ficchì A., Perrin C. & Andréassian V. (2019). Hydrological modelling at multiple sub-daily time steps: model improvement via flux-matching. Journal of Hydrology. DOI: 10.1016/j.jhydrol.2019.05.084
  • Givati A., Thirel G., Rosenfeld D. & Paz D. (2019). Climate change impacts on streamflow at the upper Jordan River based on an ensemble of regional climate models. Journal of Hydrology: Regional Studies 21, 92–109. DOI: 10.1016/j.ejrh.2018.12.004
  • Knoben W.J.M., Freer J.E., Fowler K.J.A., Peel M.C. & Woods R.A. (2019). Modular Assessment of Rainfall–Runoff Models Toolbox (MARRMoT) v1.2: an open-source, extendable framework providing implementations of 46 conceptual hydrologic models as continuous state-space formulations. Geoscientific Model Development 12, 2463–2480. 10.5194/gmd-12-2463-2019
  • Lima F.N., Fernandes W. & Nascimento N. (2019). Joint calibration of a hydrological model and rating curve parameters for simulation of flash flood in urban areas. RBRH 24. 10.1590/2318-0331.241920180066
  • Ma, Xiong, Xia, Xiong, Yang & Xu (2019). A Censored Shifted Mixture Distribution Mapping Method to Correct the Bias of Daily IMERG Satellite Precipitation Estimates. Remote Sensing 11, 1345. DOI: 10.3390/rs11111345
  • Pérez-Sánchez J., Senent-Aparicio J., Segura-Méndez F., Pulido-Velazquez D. & Srinivasan R. (2019). Evaluating Hydrological Models for Deriving Water Resources in Peninsular Spain. Sustainability 11, 2872. DOI: 10.3390/su11102872
  • Riboust P., Thirel G., Le Moine N. & Ribstein P. (2019). Revisiting a simple degree-day model for integrating satellite data: implementation of SWE-SCA hystereses. Journal of Hydrology and Hydrodynamics 67(1), 70–81, 2019. DOI: 10.2478/johh-2018-0004
  • Sapač, C., Medved, A., Rusjan, S. & Bezak, N. (2019). Investigation of Low- and High-Flow Characteristics of Karst Catchments under Climate Change. Water 11, 925. 10.3390/w11050925
  • Sezen C., Bezak N., Bai Y. & Šraj M. (2019). Hydrological modelling of karst catchment using lumped conceptual and data mining models. Journal of Hydrology 576, 98–110. DOI: 10.1016/j.jhydrol.2019.06.036
  • Slater L.J., Thirel G., Harrigan S., Delaigue O., Hurley A., Khouakhi A., et al. (2019). Using R in hydrology: a review of recent developments and future directions. Hydrology and Earth System Sciences 23, 2939–2963. DOI: 10.5194/hess-23-2939-2019
  • Tilloy A., Malamud B.D., Winter H. & Joly-Laugel A. (2019). A review of quantification methodologies for multi-hazard interrelationships. Earth-Science Reviews 196, 102881. DOI: 10.1016/j.earscirev.2019.102881
  • Visser A.G., Beevers L. & Patidar S. (2019). A coupled modelling framework to assess the hydroecological impact of climate change. Environmental Modelling & Software 114, 12–28. DOI: 10.1016/j.envsoft.2019.01.004
  • Visser A., Beevers L. & Patidar S. (2019). The Impact of Climate Change on Hydroecological Response in Chalk Streams. Water 11, 596. DOI: 10.3390/w11030596

2018

  • Faty B., Ali A., Dacosta H., Bodian A., Diop S. & Descroix L. (2018). Assessment of satellite rainfall products for stream flow simulation in Gambia watershed. African Journal of Environmental Science and Technology 12, 501–513. DOI: 10.5897/AJEST2018.2551
  • Desclaux T., Lemonnier H., Genthon P., Soulard B. & Le Gendre R. (2018). Suitability of a lumped rainfall–runoff model for flashy tropical watersheds in New Caledonia. Hydrological Sciences Journal. DOI: 10.1080/02626667.2018.1523613
  • Harrigan S., Prudhomme C., Parry S., Smith K. & Tanguy M. (2018). Benchmarking ensemble streamflow prediction skill in the UK. Hydrology and Earth System Sciences 22, 2023–2039. DOI: 10.5194/hess-22-2023-2018
  • Ma Q., Xiong L., Liu D., Xu C.-Y. & Guo S. (2018). Evaluating the Temporal Dynamics of Uncertainty Contribution from Satellite Precipitation Input in Rainfall-Runoff Modeling Using the Variance Decomposition Method. Remote Sensing 10, 1876. DOI: 10.3390/rs10121876
  • McInerney D., Thyer M., Kavetski D., Bennett B., Lerat J., Gibbs M., et al. (2018). A simplified approach to produce probabilistic hydrological model predictions. Environmental Modelling & Software 109, 306–314. DOI: 10.1016/j.envsoft.2018.07.001
  • Ogilvie A., Belaud G., Massuel S., Mulligan M., Le Goulven P., Malaterre P.-O., et al. (2018). Combining Landsat observations with hydrological modelling for improved surface water monitoring of small lakes. Journal of Hydrology 566, 109–121. DOI: 10.1016/j.jhydrol.2018.08.076
  • Pedruco P., Szemis J.M., Brown R., Lett R., Ladson A.R., Kiem A.S., et al. (2018). Assessing climate change impacts on rural flooding in Victoria. In: Water and Communities. pp. 645–648. Melbourne.
  • Santos L., Thirel G. & Perrin C. (2018). Continuous state-space representation of a bucket-type rainfall-runoff model: a case study with the GR4 model using state-space GR4 (version 1.0). Geoscientific Model Development 11, 1591–1605. DOI: 10.5194/gmd-11-1591-2018
  • Santos, L., Thirel, G. & Perrin, C. (2018). Technical note: Pitfalls in using log-transformed flows within the KGE criterion, Hydrology and Earth System Sciences Discussions 22, 4583-4591. DOI: 10.5194/hess-2018-298
  • Sauquet E., Richard B., Devers A. & Prudhomme C. (2018). Water restrictions under climate change: a Rhone-Mediterranean perspective combining ‘bottom up’ and ‘top- down’ approaches. Hydrology and Earth System Sciences Discussions, 1–40. DOI: 10.5194/hess-2018-456
  • Sezen C., Bezak N. & Šraj M. (2018). Hydrological modelling of the karst Ljubljanica River catchment using lumped conceptual model. Acta hydrotechnica, 87–100. DOI: 10.15292/acta.hydro.2018.06
  • Sezen C. & Partal T. (2018). The utilization of GR4J model and wavelet based artificial neural network for rainfall-runoff modelling. Water Science and Technology: Water Supply. DOI: 10.2166/ws.2018.189
  • Soldanova V. & Cisty, M. (2018). Extrapolation of carpatclim data for engineering purposes. In: SGEM2018. 18th International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, 18(3.1), pp. 305-312. DOI: 10.5593/sgem2018/3.1/S12.040
  • Zhang Y., Li Y., Ji X., Luo X. & Li X. (2018). Evaluation and Hydrologic Validation of Three Satellite-Based Precipitation Products in the Upper Catchment of the Red River Basin, China. Remote Sensing 10, 1881. DOI: 10.3390/rs10121881

2017

  • de Boer-Euser T., Bouaziz L., De Niel J., Brauer C., Dewals B., Drogue G., et al. (2017). Looking beyond general metrics for model comparison; lessons from an international model intercomparison study. Hydrology and Earth System Sciences 21, 423–440. DOI: 10.5194/hess-21-423-2017
  • Caillouet L., Vidal J.-P., Sauquet E., Devers A. & Graff B. (2017). Ensemble reconstruction of spatio-temporal extreme low-flow events in France since 1871. Hydrology and Earth System Sciences 21, 2923–2951. DOI: 10.5194/hess-21-2923-2017
  • Odry J. & Arnaud P. (2017). Comparison of Flood Frequency Analysis Methods for Ungauged Catchments in France. Geosciences 7, 88. DOI: 10.3390/geosciences7030088
  • Poncelet C., Merz R., Merz B., Parajka J., Oudin L., Andréassian V., et al. (2017). Process-based interpretation of conceptual hydrological model performance using a multinational catchment set. Water Resources Research 53, 7247–7268. DOI: 10.1002/2016WR019991
  • Riboust P., Le Moine N., Thirel G. & Ribstein P. (2017). How to simulate radiative inputs in complex topographic areas, an analysis on 115 Swiss Alps weather stations. Hydrol. Earth Syst. Sci. Discuss. DOI: 10.5194/hess-2017-539

2016

  • Ficchì 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

PhD theses

  • Bellier J. (2018). Prévisions hydrologiques probabilistes dans un cadre multivarié : quels outils pour assurer fiabilité et cohérence spatio-temporelle ? Université Grenoble Alpes. HAL
  • Rebolho C. (2018). Modélisation conceptuelle de l’aléa inondation à l’échelle du bassin versant. AgroParisTech. PDF
  • Santos L. (2018). Que peut-on attendre des Super Modèles en hydrologie ? Évaluation d’une approche de combinaison dynamique de modèles pluie-débit. AgroParisTech. PDF
  • Riboust P. (2018). De la neige au débit : de l’intérêt d’une meilleure contrainte et représentation de la neige dans les modèles. Sorbonne Université. HAL
  • Ficchi A. (2017). An adaptive hydrological model for multiple time-steps: diagnostics and improvements based on fluxes consistency. Université Pierre et Marie Curie, Paris 6. HAL
  • Caillouet L. (2016). Reconstruction hydrométéorologique des étiages historiques en France entre 1871 et 2012. Université Grenoble Alpes. HAL
  • Crochemore L. (2016). Seasonal streamflow forecasting for reservoir management. AgroParisTech. PDF
  • Poncelet C. (2016). Du bassin au paramètre : jusqu’où peut-on régionaliser un modèle hydrologique conceptuel ? Université Pierre et Marie Curie, Paris 6. HAL

MSc reports

  • Cesarini C. (2019). Analysis of the importance of the snow module and of the simulation of extreme streamflows in the presence of a dam using the “GR” hydrological models. Università di Bologna, Irstea, Antony. PDF
  • Huang P. (2019). Impact of coupling an actual evapotranspiration model with a lumped hydrological model to improve hydrological simulations. PolyTech’Nice Sophia, Irstea, Antony. PDF
  • Garnier, S. (2018). Évaluation de la qualité des prévisions saisonnières de pluies, de températures et débits en France. Université Montpellier, Irstea, Antony, France, 59 pp. PDF
  • Bildstein, A. (2017). Tests exploratoires pour la mise en place de prévisions opérationnelles des crues sur l’île de la Réunion. ENTPE Lyon, Irstea, Antony. PDF
  • Jeantet A. (2017). Validation de l’utilisation des pluies satellitaires pour la modélisation hydrologique en Guyane française. Université Pierre et Marie Curie, Paris 6. PDF
  • Koné M.L. (2017). Évaluation du bilan hydrologique à l’aide du modèle GR6J : cas d’un sous-bassin du Cavally en Côte d’Ivoire. Université Nangui-Abrogoua.
  • Mata Espinoza S.V. (2017). airGR un package de modélisation hydrologique à améliorer ? Évaluation sur un large échantillon de bassins versants. Université Pierre et Marie Curie, Paris 6. PDF
  • Peredo D. (2017). Impact d’une meilleure prise en compte de l’évapotranspiration dans la modélisation hydrologique. Université Pierre et Marie Curie, Paris 6.
  • Haddadi I. (2016). Les tests statistiques de significativité appliqués à l’hydrologie. Université Blaise Pascal. PDF
  • Terrier M. (2016). Évaluation des procédures de naturalisation pour la reconstitution de débits sur le bassin versant de la Seine. Polytech Nice-Sophia. PDF
  • Gosset C. (2014). Quel apport des données satellites d’enneigement pour le calage d’un modèle hydrologique sur des bassins de montagnes. Université Orsay Paris Sud. PDF

Conferences

  • Tyralis H., Papacharalampous G., Burnetas A. & Langousis A. (2019). Stacking of probabilistic predictions for improving hydrological forecasts. 18th edition of the European Geoscience Union General Assembly. Vienna, 7-12 April 2019. PDF abstract
  • Kodja D.J., Akognongbé A.J.S., Amoussou E., Mahé G., Expédit V., Paturel J.E., et al. (2018). Calibration of the hydrological model GR4J based on potential evapotranspiration estimates by the Penman-Monteith and Oudin methods in the Ouémé watershed (West Africa). 8th edition of the Global Friend-Water Conference. United Nations Educational, Scientific and Cultural Organization, Beijing, 6-9 november 2018.
  • Harrigan S., Smith K., Parry S., Tanguy M. & Prudhomme C. (2017). Benchmarking Ensemble Streamflow Prediction Skill in the UK. 16th edition of the European Geoscience Union General Assembly. Vienna, 23-28 April 2017. PDF abstract