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. Download the
article
Manual
Coron, L., Delaigue, O., Thirel, G., Dorchies, D., Perrin, C. and
Michel, C. (2023). airGR: Suite of GR Hydrological Models for
Precipitation-Runoff Modelling. R package version 1.7.6, doi:
10.15454/EX11NA, URL: https://CRAN.R-project.org/package=airGR. PDF
version of the manual
Conferences
2023
airGRgalaxy : Des outils pour les modèles hydrologiques
pluie-débit GR
Poster at the Rencontres R
#9, Avignon (France), 21-23 June 2023 PDF
version of the poster
Latest developments of the airGR rainfall-runoff modelling R
package: composite calibration/evaluation criterion and improved snow
model to take into account satellite products
Poster at the European Geoscience
Union General Assembly #16, Vienna (Austria), 7-12 April 2019 PDF version of
the poster
airGR : un package de modélisation hydrologique pour la
simulation des débits
Poster at the Rencontres R #5,
Toulouse (France), 22-24 June 2016 PDF
version of the poster
Bednar M. & Marton D. (2024). Developing a lumped
rainfall-runoff model in daily timestep for the Central European
regions: A case study of the Czech Republic. Environmental Modelling
& Software, 106092. doi: 10.1016/j.envsoft.2024.106092
Bouhafa N., Sakarovitch C., Lalague L., Goulard F. & Pryet A.
(2024). Hybrid modeling of karstic springs: Error correction of
conceptual reservoir models with machine learning. Water Supply,
ws2024092. doi: 10.2166/ws.2024.092
Colleoni F., Garambois P.-A., Javelle P., Jay-Allemand M. &
Arnaud P. (2022). Adjoint-based spatially distributed calibration of a
grid GR-based parsimonious hydrological model over 312 French catchments
with SMASH platform. EGUsphere 2022, 1–37. doi: 10.5194/egusphere-2022-506
Mologni C., Revel M., Chaumillon E., Malet E., Coulombier T.,
Sabatier P., et al. (2024). Fifty-year seasonal variability of East
African droughts and floods recorded in Central Afar lake sediments
(Ethiopia) and their connections with ENSO. EGUsphere 2024, 1–38. doi:
10.5194/egusphere-2024-310
Santos L., Andréassian V., Sonnenborg T.O., Lindström G., de Lavenne
A., Perrin C., et al. (2024). Lack of robustness of hydrological models:
A large-sample diagnosis and an attempt to identify the hydrological and
climatic drivers. Hydrology and Earth System Sciences Discussions 2024,
1–34. doi: 10.5194/hess-2024-80
Siddik Ahmed Barbhuiya1, Raghuvanshi A.S. & Tiwari H.L. (2022).
Assessment of Streamflow in Ungauged Basin by Using Physical similarity
approach. In Review. doi: 10.21203/rs.3.rs-1838734/v1
Singhal P., Goel N.K., Bronstert A., Vormoor K., Agarwal A. &
Arora M. (2024). Understanding the Flood Seasonality in the Himalayan
River Basin under Changing Climate. doi: 10.21203/rs.3.rs-4550138/v1
Thirel G., Santos L., Delaigue O. & Perrin C. (2023). On the use
of streamflow transformations for hydrological model calibration.
EGUsphere 2023, 1–26. doi: 10.5194/egusphere-2023-775
2024
Andrade J.M., Neto A.R., Nóbrega R.L.B., Rico-Ramirez M.A. &
Montenegro S.M.G.L. (2024). Efficiency of global precipitation datasets
in tropical and subtropical catchments revealed by large sampling
hydrological modelling. Journal of Hydrology 633, 131016. doi: 10.1016/j.jhydrol.2024.131016
Astagneau P.C., Bourgin F., Andréassian V. & Perrin C. (2024).
Improving the structure of a hydrological model to forecast catchment
response to intense rainfall. LHB, 2341027. doi: 10.1080/27678490.2024.2341027
Astagneau P.C., Bourgin F., Andréassian V. & Perrin C. (2024).
Lead-time-dependent calibration of a flood forecasting model. Journal of
Hydrology 644, 132119. doi: 10.1016/j.jhydrol.2024.132119
Badika P., Raghuvanshi A.S. & Agarwal A. (2024). Climate change
impact assessment on the hydrological response of the Tawa basin for
sustainable water management. Groundwater for Sustainable Development
26, 101249. doi: 10.1016/j.gsd.2024.101249
Barbhuiya S., Manekar A. & Ramadas M. (2024). Performance
evaluation of ML techniques in hydrologic studies: Comparing streamflow
simulated by SWAT, GR4J, and state-of-the-art ML-based models. Journal
of Earth System Science 133, 136. doi: 10.1007/s12040-024-02340-0
Bathelemy R., Brigode P., Andréassian V., Perrin C., Moron V.,
Gaucherel C., et al. (2024). Simbi: historical hydro-meteorological time
series and signatures for 24 catchments in Haiti. Earth System Science
Data 16, 2073–2098. doi:[10.5194/essd-16-2073-2024](https://doi.org/10.5194/essd-16-2073-2024)
Brendel C., Capell R. & Bartosova A. (2024). Rational gaze:
Presenting the open-source HYPEtools R package for analysis,
visualization, and interpretation of hydrological models and datasets.
Environmental Modelling & Software 178, 106094. doi: 10.1016/j.envsoft.2024.106094
Devers A., Vidal J.-P., Lauvernet C., Vannier O. & Caillouet L.
(2024). 140-year daily ensemble streamflow reconstructions over 661
catchments in France. Hydrology and Earth System Sciences 28, 3457–3474.
doi: 10.5194/hess-28-3457-2024
Khaldi R., Marouf N., Bouziane M.T. & Djafer Khodja H. (2024).
Hydrological Forecasts Modeling Using Artificial Intelligence and
Conceptual Models of Kébir-Rhumel Watershed, Algeria. Ecological
Engineering & Environmental Technology 25, 68–80. doi: 10.12912/27197050/190235
Ladson A.R., Brown R., Neal B. & Nathan R. (2013). A Standard
Approach to Baseflow Separation Using The Lyne and Hollick Filter.
Australasian Journal of Water Resources 17, 25–34. doi: 10.7158/13241583.2013.11465417
McInerney D., Thyer M., Kavetski D., Westra S., Maier H.R.,
Shanafield M., et al. (2024). Neglecting hydrological errors can
severely impact predictions of water resource system performance.
Journal of Hydrology 634, 130853. doi: 10.1016/j.jhydrol.2024.130853
Manikanta V. & Umamahesh N.V. (2024). Unravelling the impact of
spatial discretization and calibration strategies on event-based flood
models. Modeling Earth Systems and Environment. doi: 10.1007/s40808-023-01936-7
Marques A.C., Veras C.E., Kumpel E., Tobiason J.E. & Guzman C.D.
(2024). Assessment of nutrients and conductivity in the Wachusett
Reservoir watershed: An investigation of land use contributions and
trends. International Soil and Water Conservation Research 12, 337–350.
doi: 10.1016/j.iswcr.2023.07.004
Matt Gibbs M.A. & Vaze J. (2023). The SWTools R package for SILO
data acquisition, homogeneity testing and correction. Australasian
Journal of Water Resources, 1–13. doi: 10.1080/13241583.2023.2214989
Miléna Poncin I.C. Andrew Ogilvie, Luc Descroix & Balique C.
(2024). How does a master plan contribute to strengthening transboundary
water management? A case study in West Africa. Water International,
1–14. doi: 10.1080/02508060.2024.2321785
Mologni C., Revel M., Chaumillon E., Malet E., Coulombier T.,
Sabatier P., et al. (2024). 50-year seasonal variability in East African
droughts and floods recorded in central Afar lake sediments (Ethiopia)
and their connections with the El Niño–Southern Oscillation. Climate of
the Past 20, 1837–1860. doi: 10.5194/cp-20-1837-2024
Parry S., Mackay J.D., Chitson T., Hannaford J., Magee E., Tanguy
M., et al. (2024). Divergent future drought projections in UK river
flows and groundwater levels. Hydrology and Earth System Sciences 28,
417–440. doi: 10.5194/hess-28-417-2024
Poncet N., Lucas-Picher P., Tramblay Y., Thirel G., Vergara H.,
Gourley J., et al. (2024). Does a convection-permitting regional climate
model bring new perspectives on the projection of Mediterranean floods?
Natural Hazards and Earth System Sciences 24, 1163–1183. doi: 10.5194/nhess-24-1163-2024
Rottler E., Warscher M., Hanzer F. & Strasser U. (2024).
Spatio-temporal wet snow dynamics from model simulations and remote
sensing: A case study from the Rofental, Austria. Hydrological Processes
38, e15279. doi: 10.1002/hyp.15279
Saadi M. & Furusho-Percot C. (2024). Which range of streamflow
data is most informative in the calibration of an hourly hydrological
model? Hydrological Sciences Journal 69, 1–20. doi: 10.1080/02626667.2023.2277835
Sezen C. & Šraj M. (2024). Improving the simulations of the
hydrological model in the karst catchment by integrating the conceptual
model with machine learning models. Science of The Total Environment
926, 171684. doi: 10.1016/j.scitotenv.2024.171684
Thébault C., Perrin C., Andréassian V., Thirel G., Legrand S. &
Delaigue O. (2024). Multi-model approach in a variable spatial framework
for streamflow simulation. Hydrology and Earth System Sciences 28,
1539–1566. doi: 10.5194/hess-28-1539-2024
Tursun A., Xie X., Wang Y., Liu Y., Peng D. & Zheng B. (2024).
Enhancing streamflow simulation in large and human-regulated basins:
Long short-term memory with multiscale attributes. Journal of Hydrology
630, 130771. doi: 10.1016/j.jhydrol.2024.130771
Vásquez N.A., Mendoza P.A., Knoben W.J.M., Arnal L., Lagos-Zúñiga
M., Clark M., et al. (2024). The Key Role of Temporal Stratification for
GCM Bias Correction in Climate Impact Assessments. Earth’s Future 12,
e2023EF004242. doi: 10.1029/2023EF004242
2023
Acuña P. & Pizarro A. (2023). Can continuous simulation be used
as an alternative for flood regionalisation? A large sample example from
Chile. Journal of Hydrology 626, 130118. doi: j.jhydrol.2023.130118
Aitken G., Beevers L., Parry S. & Facer-Childs K. (2023).
Partitioning model uncertainty in multi-model ensemble river flow
projections. Climatic Change 176, 153. doi: 10.1007/s10584-023-03621-1
Araya D., Mendoza P.A., Muñoz-Castro E. & McPhee J. (2023).
Towards robust seasonal streamflow forecasts in mountainous catchments:
impact of calibration metric selection in hydrological modeling.
Hydrology and Earth System Sciences 27, 4385–4408. doi: 10.5194/hess-27-4385-2023
Ascott M.J., Christelis V., Lapworth D.J., Macdonald D.M.J.,
Tindimugaya C., Iragena A., et al. (2023). On the application of
rainfall projections from a convection-permitting climate model to
lumped catchment models. Journal of Hydrology 617, 129097. doi: 10.1016/j.jhydrol.2023.129097
Barbhuiya S., Raghuvanshi A.S. & Tiwari H.L. (2023). Assessment
of streamflow in ungauged basin by using physical similarity approach.
Arabian Journal of Geosciences 16, 672. doi: 10.1007/s12517-023-11786-3
Clayer F., Jackson-Blake L., Mercado-Bettín D., Shikhani M., French
A., Moore T., et al. (2023). Sources of skill in lake temperature,
discharge and ice-off seasonal forecasting tools. Hydrology and Earth
System Sciences 27, 1361–1381. doi: 10.5194/hess-27-1361-2023
Delaigue O., Brigode P., Thirel G. & Coron L. (2023).
airGRteaching: an open-source tool for teaching hydrological modeling
with R. Hydrology and Earth System Sciences 27, 3293–3327. doi: 10.5194/hess-27-3293-2023
Faty B., Sterk G., Ali A., Sy S., Dacosta H., Diop S., et
al. (2023). Satellite-based rainfall estimates to simulate daily
streamflow using a hydrological model over Gambia watershed. Water
Science 37, 1–18. doi: 10.1080/23570008.2023.2225898
Hrour Y., Fovet O., Lacombe G., Rousseau-Gueutin P., Sebari K.,
Pichelin P., et al. (2023). A framework to assess future water-resource
under climate change in northern Morocco using hydro-climatic modelling
and water-withdrawal scenarios. Journal of Hydrology: Regional Studies
48, 101465. doi10.1016/j.ejrh.2023.101465
Jeantet A., Thirel G., Lemaitre-Basset T. & Tournebize J.
(2023). Uncertainty propagation in a modelling chain of climate change
impact for a representative French drainage site. Hydrological Sciences
Journal, 1–17. doi: 10.1080/02626667.2023.2203322
Karki N., Shakya N.M., Pandey V.P., Devkota L.P., Pradhan A.M.S.
& Lamichhane S. (2023). Comparative performance of regionalization
methods for model parameterization in ungauged Himalayan watersheds.
Journal of Hydrology: Regional Studies 47, 101359. doi: 10.1016/j.ejrh.2023.101359
Koné S., Mahé G., Bamba F., Paturel J.-E., Dezetter A. & Servat
E. (2023). Building Tools for further Investigating Acid Mining
Production: Intercomparison of Four Hydrological Model Versions through
a Scoring Technique on the Niger River Basin, in west Africa. Earth
& Environmental Science Research & Reviews 6, 566–594. doi: 10.33140/EESRR
Kouakou C., Paturel J.-E., Satgé F., Tramblay Y., Defrance D. &
Rouché N. (2023). Comparison of gridded precipitation estimates for
regional hydrological modeling in West and Central Africa. Journal of
Hydrology: Regional Studies 47, 101409. doi: 10.1016/j.ejrh.2023.101409
Lee S.C. & Kim D. (2023). A comparative study of conceptual
model and machine learning model for rainfall-runoff simulation. Journal
of Korea Water Resources Association 56, 563–574. doi: 10.3741/JKWRA.2023.56.9.563
McInerney D., Westra S., Leonard M., Bennett B., Thyer M. &
Maier H.R. (2023). A climate stress testing method for changes in
spatially variable rainfall. Journal of Hydrology 625, 129876. doi: 10.1016/j.jhydrol.2023.129876
Marti B.S., Zhumabaev A. & Siegfried T. (2023). A comprehensive
open-source course for teaching applied hydrological modelling in
Central Asia. Hydrology and Earth System Sciences 27, 319–330. doi: 10.5194/hess-27-319-2023
Mathevet T., Le Moine N., Andréassian V., Gupta H. & Oudin L.
(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, 1–25. doi: 10.5802/crgeos.189
Newcomer M.E., Underwood J., Murphy S.F., Ulrich C., Schram T.,
Maples S.R., et al. (2023). Prolonged Drought in a Northern California
Coastal Region Suppresses Wildfire Impacts on Hydrology. Water Resources
Research 59, e2022WR034206. doi: 10.1029/2022WR034206
Rodrigues A.L., Rodrigues L.N., Marques G.F. & Villa P.M.
(2023). Simulation Model to Assess the Water Dynamics in Small
Reservoirs. Water Resources Management. doi: s11269-023-03468-2
Rozos E. (2023). Assessing Hydrological Simulations with Machine
Learning and Statistical Models. Hydrology 10. doi: 10.3390/hydrology10020049
Ruelland D. (2023). Development of the snow- and ice-accounting
routine (SIAR). Journal of Hydrology 624, 129867. doi: 10.1016/j.jhydrol.2023.129867
Saadi M., Furusho-Percot C., Belleflamme A., Chen J.-Y., Trömel S.
& Kollet S. (2023). How uncertain are precipitation and peak flow
estimates for the July 2021 flooding event? Natural Hazards and Earth
System Sciences 23, 159–177. doi: 10.5194/nhess-23-159-2023
Saadi M., Furusho-Percot C., Belleflamme A., Trömel S., Kollet S.
& Reinoso-Rondinel R. (2023). Comparison of three radar-based
precipitation nowcasts for the extreme July 2021 flooding event in
Germany. Journal of Hydrometeorology. doi: 10.1175/JHM-D-22-0121.1
Sezen C. & Šraj M. (2023). Hourly rainfall-runoff modelling by
combining the conceptual model with machine learning models in mostly
karst Ljubljanica River catchment in Slovenia. Stochastic Environmental
Research and Risk Assessment. doi: 10.1007/s00477-023-02607-w
Strohmenger L., Sauquet E., Bernard C., Bonneau J., Branger F.,
Bresson A., et al. (2023). On the visual detection of non-natural
records in streamflow time series: challenges and impacts. Hydrology and
Earth System Sciences 27, 3375–3391. doi: 10.5194/hess-27-3375-2023
Thébault C., Perrin C., Andréassian V., Thirel G., Legrand S. &
Delaigue O. (2023). Impact of suspicious streamflow data on the
efficiency and parameter estimates of rainfall–runoff models.
Hydrological Sciences Journal 68, 1627–1647. doi: 10.1080/02626667.2023.2234893
Tyralis H. & Papacharalampous G. (2023). Hydrological
post-processing for predicting extreme quantiles. Journal of Hydrology
617, 129082. doi: 10.1016/j.jhydrol.2023.129082
Tyralis H., Papacharalampous G. & Khatami S. (2023).
Expectile-based hydrological modelling for uncertainty estimation: Life
after mean. Journal of Hydrology 617, 128986. doi: 10.1016/j.jhydrol.2022.128986
Woo D.K., Jo J., Kang S. Boosik, Lee, Lee G. & Noh S.J. (2023).
Sensitivity evaluation of runoff analysis for precipitation and
temperature variability using concentrated models IHACRES and GR4J.
Journal of the Korean Society of Civil Engineers 43, 43–54.
Yang Y. & Chui T.F.M. (2023). Profiling and Pairing Catchments
and Hydrological Models With Latent Factor Model. Water Resources
Research 59, e2022WR033684. doi: 10.1029/2022WR033684
Yang Y. & Chui T.F.M. (2023). Learning to Generate Lumped
Hydrological Models. 1–24. doi: 10.48550/arXiv.2309.09904
2022
Acharya S.C., Nathan R., Wang Q.J. & Su C.-H. (2022). Temporal
disaggregation of daily rainfall measurements using regional reanalysis
for hydrological applications. Journal of Hydrology 610, 127867. doi: 10.1016/j.jhydrol.2022.127867
Alp H., Demirel M.C. & Aşıkoğlu Ö.L. (2022). Effect of Model
Structure and Calibration Algorithm on Discharge Simulation in the Acısu
Basin, Turkey. Climate 10. doi: 10.3390/cli10120196
Althoff D., Rodrigues L.N. & Silva D.D. da (2022). Predicting
runoff series in ungauged basins of the Brazilian Cerrado biome.
Environmental Modelling & Software 149, 105315. doi: 10.1016/j.envsoft.2022.105315
Astagneau P.C., Bourgin F., Andréassian V. & Perrin C. (2022).
Catchment response to intense rainfall: Evaluating modelling hypotheses.
Hydrological Processes 36, e14676. doi: 10.1002/hyp.14676
Bérubé S., Brissette F. & Arsenault R. (2022). Optimal
Hydrological Model Calibration Strategy for Climate Change Impact
Studies. Journal of Hydrologic Engineering 27, 04021053. doi: 10.1061/(ASCE)HE.1943-5584.0002148
Chelil S., Oubanas H., Henine H., Gejadze I., Malaterre P.O. &
Tournebize J. (2022). Variational data assimilation to improve
subsurface drainage model parameters. Journal of Hydrology 610, 128006.
doi: 10.1016/j.jhydrol.2022.128006
Hah D., Quilty J.M. & Sikorska-Senoner A.E. (2022). Ensemble and
stochastic conceptual data-driven approaches for improving streamflow
simulations: Exploring different hydrological and data-driven models and
a diagnostic tool. Environmental Modelling & Software 157, 105474.
doi: 10.1016/j.envsoft.2022.105474
Hao Y., Sun F., Wang H., Liu W., Shen Y.-J., Li Z., et al. (2022).
Understanding climate-induced changes of snow hydrological processes in
the Kaidu River Basin through the CemaNeige-GR6J model. CATENA 212,
106082. doi: 10.1016/j.catena.2022.106082
Hashemi R., Brigode P., Garambois P.-A. & Javelle P. (2022). How
can we benefit from regime information to make more effective use of
long short-term memory (LSTM) runoff models? Hydrology and Earth System
Sciences 26, 5793–5816. doi: 10.5194/hess-26-5793-2022
Henine H., Jeantet A., Chaumont C., Chelil S., Lauvernet C. &
Tournebize J. (2022). Coupling of a subsurface drainage model with a
soil reservoir model to simulate drainage discharge and drain flow
start. Agricultural Water Management 262, 107318. doi: 10.1016/j.agwat.2021.107318
Horton P., Schaefli B. & Kauzlaric M. (2022). Why do we have so
many different hydrological models? A review based on the case of
Switzerland. WIREs Water 9, e1574. doi: 10.1002/wat2.1574
Jackson-Blake L.A., Clayer F., de Eyto E., French A.S., Frías M.D.,
Mercado-Bettín D., et al. (2022). Opportunities for seasonal forecasting
to support water management outside the tropics. Hydrology and Earth
System Sciences 26, 1389–1406. doi: 10.5194/hess-26-1389-2022
Jougla R. & Leconte R. (2022). Short-Term Hydrological Forecast
Using Artificial Neural Network Models with Different Combinations and
Spatial Representations of Hydrometeorological Inputs. Water 14, 1556.
doi:
Lemoine A., Ramos M.-H. & Andréassian V. (2022). Climate change
impacts on the management of hydropower reservoirs using guide curves.
LHB, 2101393. doi: 10.1080/27678490.2022.210139310.3390/w14040552
Manikanta V. & Vema V.K. (2022). Formulation of Wavelet Based
Multi-Scale Multi-Objective Performance Evaluation (WMMPE) Metric for
Improved Calibration of Hydrological Models. Water Resources Research
58, e2020WR029355. doi: 10.1029/2020WR029355
Mendez M., Calvo-Valverde L.-A., Imbach P., Maathuis B., Hein-Grigg
D., Hidalgo-Madriz J.-A., et al. (2022). Hydrological Response of
Tropical Catchments to Climate Change as Modeled by the GR2M Model: A
Case Study in Costa Rica. Sustainability 14. doi: 10.3390/su142416938
Meresa H., Donegan S., Golian S. & Murphy C. (2022). Simulated
Changes in Seasonal and Low Flows with Climate Change for Irish
Catchments. Water 14. doi: 10.3390/w14101556
Nasreen S., Součková M., Vargas Godoy M.R., Singh U., Markonis Y.,
Kumar R., et al. (2022). A 500-year annual runoff reconstruction for 14
selected European catchments. Earth System Science Data 14, 4035–4056.
doi: 10.5194/essd-14-4035-2022
Pastén-Zapata E., Pimentel R., Royer-Gaspard P., Sonnenborg T.O.,
Aparicio-Ibañez J., Lemoine A., et al. (2022). The effect of weighting
hydrological projections based on the robustness of hydrological models
under a changing climate. Journal of Hydrology: Regional Studies 41,
101113. doi: 10.1016/j.ejrh.2022.101113
Pelletier A. & Andréassian V. (2022). On constraining a lumped
hydrological model with both piezometry and streamflow: results of a
large sample evaluation. Hydrology and Earth System Sciences 26,
2733–2758. doi: 10.5194/hess-26-2733-2022
Peredo D., Ramos M.-H., Andréassian V. & Oudin L. (2022).
Investigating hydrological model versatility to simulate extreme flood
events. Hydrological Sciences Journal 67, 628–645. doi: 10.1080/02626667.2022.2030864
Pérez-Sánchez J., Senent-Aparicio J. & Jimeno-Sáez P. (2022).
The application of spreadsheets for teaching hydrological modeling and
climate change impacts on streamflow. Computer Applications in
Engineering Education 30, 1510–1525. doi: 10.1002/cae.22541
Pujol L., Garambois P.-A. & Monnier J. (2022). Multi-dimensional
hydrological–hydraulic model with variational data assimilation for
river networks and floodplains. Geoscientific Model Development 15,
6085–6113. doi: 10.5194/gmd-15-6085-2022
Qi W., Chen J., Li L., Xu C.-Y., Li J., Xiang Y., et al. (2022).
Regionalization of catchment hydrological model parameters for global
water resources simulations. Hydrology Research 53, 441–466. doi: 10.2166/nh.2022.118
Schürz C. & Schulz K. (2022). Reply to STOTEN 802 (2022) 149713:
The fallacy in the use of the “best-fit” solution in hydrologic
modeling. Science of The Total Environment 821, 153402. doi: 10.1016/j.scitotenv.2022.153402
Sezen C. & Partal T. (2022). New hybrid GR6J-wavelet-based
genetic algorithm-artificial neural network (GR6J-WGANN)
conceptual-data-driven model approaches for daily rainfall–runoff
modelling. Neural Computing and Applications 34, 17231–17255. doi: 10.1007/s00521-022-07372-5
Sezen C. & Partal T. (2022). The utilisation of conceptual and
data-driven models for hydrological modelling in semi-arid and humid
areas of the Antalya basin in Turkey. Acta Geophysica 70, 897–915. doi:
10.1007/s11600-022-00746-2
Sezen C. & Partal T. (2022). Two integrated
conceptual–wavelet-based data-driven model approaches for daily
rainfall–runoff modelling. Journal of Hydroinformatics 24, 949–975. doi:
10.2166/hydro.2022.171
Shannon J., Kolka R., Van Grinsven M. & Liu F. (2022). Joint
impacts of future climate conditions and invasive species on black ash
forested wetlands. Frontiers in Forests and Global Change 5, 957526.
doi: 10.3389/ffgc.2022.957526
Trinugroho M.W. & Prima Nugroho A. (2022). Pemodelan limpasan
air hujan menggunakan GR2M berbasis R di hilir daerah aliran sungai
Cimanuk. Buletin Hasil Penelitian Agroklimat dan Hidrologi 18, 14–21.
ISSN: 0216-3934
Wanzala M.A., Ficchi A., Cloke H.L., Stephens E.M., Badjana H.M.
& Lavers D.A. (2022). Assessment of global reanalysis precipitation
for hydrological modelling in data-scarce regions: A case study of
Kenya. Journal of Hydrology: Regional Studies 41, 101105. doi: 10.1016/j.ejrh.2022.101105
Yahiaoui S., Chibane B., Pistre S., Bentchakal M. & Ali-Rahmani
S.-E. (2022). Rainfall-runoff modeling using airGR and airGRteaching:
application to a catchment in Northeast Algeria. Modeling Earth Systems
and Environment 8, 4985–4996. doi: 10.1007/s40808-022-01444-0
2021
Adane G.B., Hirpa B.A., Gebru B.M., Song C. & Lee W.-K. (2021).
Integrating Satellite Rainfall Estimates with Hydrological Water Balance
Model: Rainfall-Runoff Modeling in Awash River Basin, Ethiopia. Water
13. doi: 10.3390/w13060800
Althoff D. & Rodrigues L.N. (2021). Goodness-of-fit criteria for
hydrological models: Model calibration and performance assessment.
Journal of Hydrology 600, 126674. doi: 10.1016/j.jhydrol.2021.126674
Althoff D., Rodrigues L.N. & Bazame H.C. (2021). Uncertainty
quantification for hydrological models based on neural networks: the
dropout ensemble. Stochastic Environmental Research and Risk Assessment
35, 1051–1067. doi: 10.1007/s00477-021-01980-8
Arabzadeh R., Aberi P., Hesarkazzazi S., Hajibabaei M., Rauch W.,
Nikmehr S., et al. (2021). WRSS: An Object-Oriented R Package for
Large-Scale Water Resources Operation. Water 13. doi: 10.3390/w13213037
Astagneau P.C., Bourgin F., Andréassian V. & Perrin C. (2021).
When does a parsimonious model fail to simulate floods? Learning from
the seasonality of model bias. Hydrological Sciences Journal 66,
1288–1305. doi: 10.1080/02626667.2021.1923720
Astagneau P.C., Thirel G., Delaigue O., Guillaume J.H.A., Parajka
J., Brauer C.C., et al. (2021). Technical note: Hydrology modelling R
packages – a unified analysis of models and practicalities from a user
perspective. Hydrology and Earth System Sciences 25, 3937–3973. doi: 10.5194/hess-25-3937-2021
Ayzel G., Kurochkina L., Abramov D. & Zhuravlev S. (2021).
Development of a Regional Gridded Runoff Dataset Using Long Short-Term
Memory (LSTM) Networks. Hydrology 8, 6. doi: 10.3390/hydrology8010006
Bouaziz L.J.E., Fenicia F., Thirel G., de Boer-Euser T., Buitink J.,
Brauer C.C., et al. (2021). Behind the scenes of streamflow model
performance. Hydrology and Earth System Sciences 25, 1069–1095. doi: 10.5194/hess-25-1069-2021
Caillouet L., Vidal J.-P., Sauquet E., Devers A., Lauvernet C.,
Graff B., et al. (2021). Intercomparaison des évènements d’étiage
extrême en France depuis 1871. LHB 107, 1–9. doi: 10.1080/00186368.2021.1914463
Donegan S., Murphy C., Harrigan S., Broderick C., Foran Quinn D.,
Golian S., et al. (2021). Conditioning ensemble streamflow prediction
with the North Atlantic Oscillation improves skill at longer lead times.
Hydrology and Earth System Sciences 25, 4159–4183. doi: 10.5194/hess-25-4159-2021
Flores N., Rodríguez R., Yépez S., Osores V., Rau P., Rivera D., et
al. (2021). Comparison of Three Daily Rainfall-Runoff Hydrological
Models Using Four Evapotranspiration Models in Four Small Forested
Watersheds with Different Land Cover in South-Central Chile. Water 13.
doi: 10.3390/w13223191
Gagnon-Poiré A., Brigode P., Francus P., Fortin D., Lajeunesse P.,
Dorion H., et al. (2021). Reconstructing past hydrology of eastern
Canadian boreal catchments using clastic varved sediments and
hydro-climatic modelling: 160 years of fluvial inflows. Climate of the
Past 17, 653–673. doi: 10.5194/cp-17-653-2021
Gnann S.J., Coxon G., Woods R.A., Howden N.J.K. & McMillan H.K.
(2021). TOSSH: A Toolbox for Streamflow Signatures in Hydrology.
Environmental Modelling & Software 138, 104983. doi: 10.1016/j.envsoft.2021.104983
Golian S. & Murphy C. (2021). Evaluation of Sub-Selection
Methods for Assessing Climate Change Impacts on Low-Flow and
Hydrological Drought Conditions. Water Resources Management 35, 113–133.
doi: s11269-020-02714-1
Golian S., Murphy C. & Meresa H. (2021). Regionalization of
hydrological models for flow estimation in ungauged catchments in
Ireland. Journal of Hydrology: Regional Studies 36, 100859. doi: 10.1016/j.ejrh.2021.100859
Guilpart E., Espanmanesh V., Tilmant A. & Anctil F. (2021).
Combining split-sample testing and hidden Markov modelling to assess the
robustness of hydrological models. Hydrology and Earth System Sciences
25, 4611–4629. doi: 10.5194/hess-25-4611-2021
Hunter J., Thyer M., McInerney D. & Kavetski D. (2021).
Achieving high-quality probabilistic predictions from hydrological
models calibrated with a wide range of objective functions. Journal of
Hydrology 603, 126578. doi: 10.1016/j.jhydrol.2021.126578
Jeantet A., Henine H., Chaumont C., Collet L., Thirel G. &
Tournebize J. (2021). Robustness of a parsimonious subsurface drainage
model at the French national scale. Hydrology and Earth System Sciences
25, 5447–5471. doi: 10.5194/hess-25-5447-2021
Lemaitre-Basset T., Collet L., Thirel G., Parajka J., Evin G. &
Hingray B. (2021). Climate change impact and uncertainty analysis on
hydrological extremes in a French Mediterranean catchment. Hydrological
Sciences Journal 66, 888–903. doi: 10.1080/02626667.2021.1895437
Llauca H., Lavado-Casimiro W., León K., Jimenez J., Traverso K.
& Rau P. (2021). Assessing Near Real-Time Satellite Precipitation
Products for Flood Simulations at Sub-Daily Scales in a Sparsely Gauged
Watershed in Peruvian Andes. Remote Sensing 13, 826. doi: 10.3390/rs13040826
Llauca H., Lavado-Casimiro W., Montesinos C., Santini W. & Rau
P. (2021). PISCO_HyM_GR2M: A Model of Monthly Water Balance in Peru
(1981–2020). Water 13. doi: 10.3390/w13081048
McDowell R.W., Simpson Z.P., Ausseil A.G., Etheridge Z. & Law R.
(2021). The implications of lag times between nitrate leaching losses
and riverine loads for water quality policy. Scientific Reports 11,
16450. doi: 10.1038/s41598-021-95302-1
Mercado-Bettín D., Clayer F., Shikhani M., Moore T.N., Frías M.D.,
Jackson-Blake L., et al. (2021). Forecasting water temperature in lakes
and reservoirs using seasonal climate prediction. Water Research 201,
117286. doi: 10.1016/j.watres.2021.117286
Nicolle P., Andréassian V., Royer-Gaspard P., Perrin C., Thirel G.,
Coron L., et al. (2021). Technical note: RAT – a robustness assessment
test for calibrated and uncalibrated hydrological models. Hydrology and
Earth System Sciences 25, 5013–5027. doi: 10.5194/hess-25-5013-2021
Ollivier C., Olioso A., Carrière S.D., Boulet G., Chalikakis K.,
Chanzy A., et al. (2021). An evapotranspiration model driven by remote
sensing data for assessing groundwater resource in karst watershed.
Science of The Total Environment 781, 146706. doi: 10.1016/j.scitotenv.2021.146706
Piazzi G., Thirel G., Perrin C. & Delaigue O. (2021). Sequential
Data Assimilation for Streamflow Forecasting: Assessing the Sensitivity
to Uncertainties and Updated Variables of a Conceptual Hydrological
Model at Basin Scale. Water Resources Research 57. doi: 10.1029/2020WR028390
Royer-Gaspard P., Andréassian V. & Thirel G. (2021). Technical
note: PMR – a proxy metric to assess hydrological model robustness in a
changing climate. Hydrology and Earth System Sciences 25, 5703–5716.
doi: hess-25-5703-2021
Saadi M., Oudin L. & Ribstein P. (2021). Physically consistent
conceptual rainfall–runoff model for urbanized catchments. Journal of
Hydrology 599, 126394. doi: 10.1016/j.jhydrol.2021.126394
Sauquet E., Beaufort A., Sarremejane R. & Thirel G. (2021).
Predicting flow intermittence in France under climate change.
Hydrological Sciences Journal 66, 2046–2059. doi: 10.1080/02626667.2021.1963444
Soper J.J., Guzman C.D., Kumpel E. & Tobiason J.E. (2021).
Long-term analysis of road salt loading and transport in a rural
drinking water reservoir watershed. Journal of Hydrology 603, 127005.
doi: 10.1016/j.jhydrol.2021.127005
Toum E., Masiokas M.H., Villalba R., Pitte P. & Ruiz L. (2021).
The HBV.IANIGLA Hydrological Model. The R Journal 13, 378–395. doi: 10.32614/RJ-2021-059
Tyralis H. & Papacharalampous G. (2021). Quantile-Based
Hydrological Modelling. Water 13. doi: 10.3390/w13233420
Wang H., Cao L. & Feng R. (2021). Hydrological Similarity-Based
Parameter Regionalization under Different Climate and Underlying
Surfaces in Ungauged Basins. Water 13. doi: 10.3390/w13182508
2020
Adeyeri O.E., Laux P., Arnault J., Lawin A.E. & Kunstmann H.
(2020). Conceptual hydrological model calibration using multi-objective
optimization techniques over the transboundary Komadugu-Yobe basin, Lake
Chad Area, West Africa. Journal of Hydrology: Regional Studies 27,
100655. doi: 10.1016/j.ejrh.2019.100655
Aufar Y., Sitanggang I.S. & Annisa (2020). Parameter
Optimization of Rainfall-runoff Model GR4J using Particle Swarm
Optimization on Planting Calendar. International Journal on Advanced
Science, Engineering and Information Technology 10, 2575. doi: 10.18517/ijaseit.10.6.9110
Ayzel G., Kurochkina L. & Zhuravlev S. (2020). The influence of
regional hydrometric data incorporation on the accuracy of gridded
reconstruction of monthly runoff. Hydrological Sciences Journal, 1–12.
doi: 10.1080/02626667.2020.1762886
Bezak N., Cerović L. & Šraj M. (2020). Impact of the Mean Daily
Air Temperature Calculation on the Rainfall-Runoff Modelling. Water 12,
3175. doi: 10.3390/w12113175
Citrini A., Camera C. & Beretta G.P. (2020). Nossana Spring
(Northern Italy) under Climate Change: Projections of Future Discharge
Rates and Water Availability. Water 12, 387. doi: 10.3390/w12020387
Crochemore L., Ramos M.-H. & Pechlivanidis I.G. (2020). Can
Continental Models Convey Useful Seasonal Hydrologic Information at the
Catchment Scale? Water Resources Research 56. doi: 10.1029/2019WR025700
Flores A.P., Giordano L. & Ruggerio C.A. (2020). A basin-level
analysis of flood risk in urban and periurban areas: A case study in the
metropolitan region of Buenos Aires, Argentina. Heliyon 6, e04517. doi:
10.1016/j.heliyon.2020.e04517
Ghimire U., Agarwal A., Shrestha N.K., Daggupati P., Srinivasan G.
& Than H.H. (2020). Applicability of Lumped Hydrological Models in a
Data-Constrained River Basin of Asia. Journal of Hydrologic Engineering
25, 05020018. doi: 10.1061/(ASCE)HE.1943-5584.0001950
Monteil C., Zaoui F., Le Moine N. & Hendrickx F. (2020).
Multi-objective calibration by combination of stochastic and
gradient-like parameter generation rules – the caRamel algorithm.
Hydrology and Earth System Sciences 24, 3189–3209. doi: hess-24-3189-2020
Neri M., Parajka J. & Toth E. (2020). Importance of the
informative content in the study area when regionalising rainfall-runoff
model parameters: the role of nested catchments and gauging station
density. Hydrology and Earth System Sciences 24, 5149–5171. doi: 10.5194/hess-24-5149-2020
Nguyen H., Mehrotra R. & Sharma A. (2020). Assessment of Climate
Change Impacts on Reservoir Storage Reliability, Resilience, and
Vulnerability Using a Multivariate Frequency Bias Correction Approach.
Water Resources Research 56. doi: 10.1029/2019WR026022
O’Connor P., Murphy C., Matthews T. & Wilby R.L. (2020).
Reconstructed monthly river flows for Irish catchments 1766–2016.
Geoscience Data Journal, gdj3.107. doi: 10.1002/gdj3.107
Papacharalampous G., Tyralis H., Koutsoyiannis D. & Montanari A.
(2020). Quantification of predictive uncertainty in hydrological
modelling by harnessing the wisdom of the crowd: A large-sample
experiment at monthly timescale. Advances in Water Resources 136,
103470. doi: 10.1016/j.advwatres.2019.103470
Pelletier A. & Andréassian V. (2020). Characterising catchments’
memory through a crossover approach between piezometry and hydrograph
separation. La Houille Blanche, 30–37. doi: 10.1051/lhb/2020032
Pelletier A. & Andréassian V. (2020). Hydrograph separation: an
impartial parametrisation for an imperfect method. Hydrology and Earth
System Sciences 24, 1171–1187. doi: 10.5194/hess-24-1171-2020
Schmidt-Walter P., Trotsiuk V., Meusburger K., Zacios M. &
Meesenburg H. (2020). Advancing simulations of water fluxes, soil
moisture and drought stress by using the LWF-Brook90 hydrological model
in R. Agricultural and Forest Meteorology, 108023. doi: 10.1016/j.agrformet.2020.108023
Sezen C., Šraj M., Medved A. & Bezak N. (2020). Investigation of
Rain-On-Snow Floods under Climate Change. Applied Sciences 10, 1242.
doi: 10.3390/app10041242
Wijayarathne D.B. & Coulibaly P. (2020). Identification of
hydrological models for operational flood forecasting in St. John’s,
Newfoundland, Canada. Journal of Hydrology: Regional Studies 27, 100646.
doi: j.ejrh.2019.100646
Yang W., Yang H. & Yang D. (2020). Classifying floods by
quantifying driver contributions in the Eastern Monsoon Region of China.
Journal of Hydrology 585, 124767. doi: 10.1016/j.jhydrol.2020.124767
Zhong R., Zhao T. & Chen X. (2020). Hydrological model
calibration for dammed basins using satellite altimetry information.
Water Resources Research. doi: 10.1029/2020WR027442
2019
Allani M., Mezzi R., Zouabi A., Béji R., Joumade-Mansouri F., Hamza
M.E., et al. (2019). Impact of future climate change on water supply and
irrigation demand in a small mediterranean catchment. Case study:
Nebhana dam system, Tunisia. Journal of Water and Climate Change,
jwc2019131. doi: 10.2166/wcc.2019.131
Aminyavari S. & Saghafian B. (2019). Probabilistic streamflow
forecast based on spatial post-processing of TIGGE precipitation
forecasts. Stochastic Environmental Research and Risk Assessment 33,
1939–1950. doi: 10.1007/s00477-019-01737-4
Ayzel G., Varentsova N., Erina O., Sokolov D., Kurochkina L. &
Moreydo V. (2019). OpenForecast: The First Open-Source Operational
Runoff Forecasting System in Russia. Water 11, 1546. doi: 10.3390/w11081546
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 23, 4583–4602. doi: 10.5194/hess-2019-202
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
García-Romero, L., Paredes-Arquiola, J., Solera, A., Belda, E.,
Andreu, J. & Sánchez-Quispe, S.T. (2019). Optimization of the
Multi-Start Strategy of a Direct-Search Algorithm for the Calibration of
Rainfall–Runoff Models for Water-Resource Assessment. Water 11, 1876.
doi: 10.3390/w11091876
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. doi: 10.5194/gmd-12-2463-2019
Lavenne A., Andréassian V., Thirel G., Ramos M.-H. & Perrin C.
(2019). A Regularization Approach to Improve the Sequential Calibration
of a Semidistributed Hydrological Model. Water Resources Research 55,
8821–8839. doi: 10.1029/2018WR024266
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
Lavtar K., Bezak N. & Šraj M. (2019). Rainfall-Runoff Modeling
of the Nested Non-Homogeneous Sava River Sub-Catchments in Slovenia.
Water 12, 128. doi: 10.3390/w12010128
Ma, Q., Xiong, L., Xia, J., Xiong, B., Yang, H. & Xu, C.Y
(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
Navas R., Alonso J., Gorgoglione A. & Vervoort R.W. (2019).
Identifying Climate and Human Impact Trends in Streamflow: A Case Study
in Uruguay. Water 11, 1433. doi: 10.3390/w11071433
Papacharalampous G., Tyralis H., Langousis A., Jayawardena A.W.,
Sivakumar B., Mamassis N., et al. (2019). Probabilistic Hydrological
Post-Processing at Scale: Why and How to Apply Machine-Learning Quantile
Regression Algorithms. Water 11, 2126. doi: 10.3390/w11102126
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
Saadi M., Oudin L. & Ribstein P. (2019). Étude de la sensibilité
des paramètres d’un modèle «rural» sur des bassins versants urbanisés.
La Houille Blanche, 35–43. doi: 10.1051/lhb/2019013
Saadi M., Oudin L. & Ribstein P. (2019). Random Forest Ability
in Regionalizing Hourly Hydrological Model Parameters. Water 11, 1540.
doi: 10.3390/w11081540
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. doi: 10.3390/w11050925
Sauquet E., Richard B., Devers A. & Prudhomme C. (2019). Water
restrictions under climate change: a Rhône–Mediterranean perspective
combining bottom-up and top-down approaches. Hydrology and Earth System
Sciences 23, 3683–3710. doi: 10.5194/hess-23-3683-2019
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
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 23, 3247–3268. doi: 10.5194/hess-23-3247-2019
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
Tyralis H., Papacharalampous G., Burnetas A. & Langousis A.
(2019). Hydrological post-processing using stacked generalization of
quantile regression algorithms: Large-scale application over CONUS.
Journal of Hydrology 577, 123957. doi: 10.1016/j.jhydrol.2019.123957
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
Visser-Quinn A., Beevers L. & Patidar S. (2019). Replication of
ecologically relevant hydrological indicators following a modified
covariance approach to hydrological model parameterization. Hydrology
and Earth System Sciences 23, 3279–3303. doi: 10.5194/hess-23-3279-2019
2018
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
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
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
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
Inproceedings
2024
Seelig S., Seelig M., Vremec M., Wagner T., Krainer K., Avian M., et
al. (2024). Der Einfluss des Klimawandels auf das Abflussverhalten von
Blockgletschern und übergeordneter alpiner Einzugsgebiete. pp. 80–93.
Umhausen, Austria. PDF
Aubert Y., Legay T., Verdonck J., Brunel D. & Delichere S.
(2022). Les données spatiales au service du suivi des ressources en eau.
E3S Web of Conferences 346, 04008. doi: e3sconf/202234604008
Delichère S., Bortoli J., Benatier B., Philippe E., Germain M.,
Thomas X., et al. (2022). Pilotage Intégré des Crues et des Transferts
d’Eau (PICTO) - Un outil de gestion dynamique des retenues destinées à
l’alimentation en eau potable sur le territoire de la Vendée. E3S Web of
Conferences 346, 03010. doi: 10.1051/e3sconf/202234603010
2021
Bezak N., Peternel T., Medved A. & Mikoš M. (2021). Climate
Change Impact Evaluation on the Water Balance of the Koroška Bela Area,
NW Slovenia. In: Understanding and Reducing Landslide Disaster Risk.
(Eds V. Vilímek, F. Wang, A. Strom, K. Sassa, P.T. Bobrowsky & K.
Takara), pp. 221–228. Springer International Publishing, Cham. doi: 10.1007/978-3-030-60319-9_25
Biao E.I., Obada E., Alamou E.A., Zandagba J.E., Chabi A., Amoussou
E., et al. (2021). Hydrological Modelling of the Mono River Basin at
Athiémé. Proceedings of the International Association of Hydrological
Sciences 384, 57–62. doi: 10.5194/piahs-384-57-2021
Koubodana H.D., Atchonouglo K., Adounkpe J.G., Amoussou E., Kodja
D.J., Koungbanane D., et al. (2021). Surface runoff prediction and
comparison using IHACRES and GR4J lumped models in the Mono catchment,
West Africa. Proceedings of the International Association of
Hydrological Sciences 384, 63–68. doi: 10.5194/piahs-384-63-2021
2020
Arriagada A., Riquelme J. & Garcia-Perez T. (2020). Evaluation
of the Effects of Climate Change on Water Infiltration on Thickened
Tailings in the Atacama Region. doi: 10.36487/ACG_repo/2052_99
Nicolle P., Besson F., Delaigue O., Etchevers P., François D., Le
Lay M., et al. (2020). PREMHYCE: An operational tool for low-flow
forecasting. Proceedings of the International Association of
Hydrological Sciences 383, 381–389. doi: piahs-383-381-2020
Muñoz Castro E., Mendoza P.A., Hernandez D. & Vargas X. (2020).
Comparación de métodos de ensemble forecasting aplicados al pronóstico
de volúmenes de deshielo en Chile central. In: 24 congreso chileno de
ingeniería hidráulica. Sociedad chilena de ingeniería hidráulica.
Santiago (Chile). PDF
proceedings
Vyshnevskyi V., Shevchuk S. & Matiash T.V. (2020). Water
resources of the lower Danube river and their use within the territory
ok Ukraine. In: Conference of the Danubian Countries on Hydrological
Forecasting and Hydrological Bases of Water Management. (Eds L.
Gorbachova & B. Khrystiuk), pp. 199–201. Ukrainian
Hydrometeorological Institute, Department of Hydrological Research, Kyiv
(Ukraine). doi: 10.15407/uhmi.conference.01.22
2019
Astorayme Valenzuela M. & Felipe O. (2019). Hydrological
Simulation Using Two High-Resolution Satellite Precipitation Products to
Generate Hourly Discharge Rates in the Rimac Basin, Peru. In: World
Environmental and Water Resources Congress 2019. Pittsburgh (United
States of America). doi: 10.1061/9780784482339.029
PhD theses
2023
Soutif-Bellenger M. (2023). Eau, agriculture, changement climatique
: apports d’une modélisation intégrée agro-hydrologique pour
l’adaptation. Sorbonne Université. HAL
Thébault C. (2023). Quels apports d’une approche multi-modèle
semi-distribuée pour la prévision des débits ? Sorbonne Université. HAL
2022
Astagneau P.C. (2022). Pistes d’amélioration de la généralité et de
l’efficacité d’un modèle opérationnel de prévision des crues. Sorbonne
Université. HAL
Hora T. (2022). Addressing groundwater over-extraction in India:
assessments, monitoring methods and interventions. University of
Waterloo. UWSpace
Jeantet A. (2022). Durabilité du drainage agricole français sous
contrainte de changement climatique. Sorbonne Université. HAL
Lemaitre-Basset T. (2023). Importance de la demande en eau
atmosphérique et anthropique en contexte de changement climatique sur la
durabilité de la gestion de la ressource : cas d’étude du bassin versant
de la Moselle en France. Sorbonne Université. HAL
Pujol L. (2022). Optimal synergy of multi-source data and
hydraulic-hydrological models for the cartographic modeling of complex
hydrosystems. Université de Strasbourg. HAL
2021
Lemoine A. (2021). Indicateurs d’impacts des changements
hydroclimatiques sur la gestion des réservoirs hydroélectriques.
Sorbonne Université. HAL
Pelletier A. (2021). Nappes et rivières : la piézométrie peut-elle
améliorer la modélisation des étiages des cours d’eau ? Sorbonne
Université. HAL
Peredo D. (2021). Quels gains d’une modélisation hydrologique
adaptée et d’une approche d’ensemble pour la prévision des crues rapides
? Sorbonne Université. HAL
Royer-Gaspard P. (2021). De la robustesse des modèles hydrologiques
face à des conditions climatiques variables. Sorbonne Université. HAL
2020
Cassagnole M. (2020). Analyse du lien entre la qualité des
prévisions hydrologiques et leur valeur économique pour le secteur
hydroélectrique. AgroParisTech. HAL
Papacharalampous G.A. (2020). Stochastic process-based modelling for
hydrological systems. National Technical University of Athens. ResearchGate
Saadi M. (2020). Représentation de l’urbanisation dans la
modélisation hydrologique à l’échelle du bassin versant. Sorbonne
Université. HAL
2019
Devers A. (2019). Towards a 150-year hydrometeorological reanalysis
over France through data assimilation in ensemble reconstructions.
Université Grenoble Alpes. HAL
2018
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. HAL
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
Santos L. (2018). Que peut-on attendre des Super Modèles en
hydrologie ? Évaluation d’une approche de combinaison dynamique de
modèles pluie-débit. AgroParisTech. HAL
2017
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
2016
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. HAL
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
2023
Garzón Rodríguez E.A. (2023). Construcción, aplicación y evaluación
crítica de una caja de herramientas para la formulación del componente
hidrológico de un POMCA. Universidad Nacional de Colombia. PDF
2022
Abrahão Campos Salles T. (2022). Modélisation hydrologique prenant
en compte la gestion pour l’évaluation de la vulnérabilité et de
l’adaptation au changement climatique sur le bassin versant de la
Seille. Grenoble INP-Ense3. PDF
Araya Reydet D.A. (2022). Evaluación de la metodología ESP para la
generación de pronósticos de caudales de deshielo en cuencas de Chile
Central. Universidad de Chile. PDF
Hah K. W. (2022). Improved Streamflow Simulation through Ensemble
and Stochastic Conceptual Data-driven Approaches. UWSpace
Henrotin E. (2023). Quelle fonction de propagation choisir pour
relier les différentes mailles d’un modèle hydrologique semi-distribué ?
Université de Tours. PDF
Lindao V.G.S. (2022). Evaluación de la oferta hídrica bajo
escenarios de cambio climático en la microcuenca del río Colonso,
Ecuador. Universidad Regional Amazónica Ikiam. Dspace
2021
Kourakos V. (2021). Refining the working hypotheses of parameter
identification in hydrological modelling: the concept of stochastic
calibration. National Technical University of Athens, Athens. PDF
Neri M. (2021). Innovative methodologies for enhancing the
regionalisation of rainfall-runoff model parameters. Alma Mater
Studiorum - Università di Bologna. PDF
Nunez Torres, L. (2021). Simulation d’un bassin versant anthropisé à
l’aide d’un modèle hydrologique semi-distribué : Le bassin de la Seine
et ses réservoirs. Polytech Sorbonne. PDF
Witt M. (2021). Investigating discharge dynamics at catchment level
using remote sensing timeseries. University of Würzburg. PDF
2020
Fayet L. (2020). Impact du changement climatique sur la variabilité
hydrologique des bassins versants en amont de l’estuaire de la Gironde.
ENTPE. PDF
Soutif–Bellenger, M. (2020). Développement d’un modèle couplé
agro-hydrologique. Application au bassin versant de l’Hérault. Sorbonne
Université. PDF
Kouyaté, S. (2020). Modélisation des glaciers pour l’amélioration
des débits simulés en haute montagne : diagnostic sur des bassins
versants alpin. Université de Tours. PDF
Vlavonou Zannou S.L.M. (2020). Integrated Water Resources Management
in Burkina-Faso through numerical modeling: Case study of the Mouhoun
Basin. Pan African University. PDF
2019
Astagneau, P. (2019). Comparison of hydrological modelling R
packages. Polytech Sorbonne. PDF
Belbal, H. (2019). Quelle efficacité peut-on attendre des modèles
hydrologiques pour la prévision des crues en Nouvelle–Calédonie ?
Diagnostic sur un ensemble de bassins versants néo-calédoniens. Polytech
Nice-Sophia. PDF
Boutouba R., Fougere M., Lamouri A., Leguemani A.M. & Roux Q.
(2019). Peut-on améliorer les performances de modèles pluie-débit en
utilisant les données satellites MODIS ? Application sur le bassin
versant de la Roya. Polytech Nice-Sophia.
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. PDF
Conte, B. (2019). Quelles perspectives de l’intégration de
l’expertise dans le calage de modèle hydrologique ? Université
Paris-Sud, Paris 11. PDF
Sleziak P. (2019). Vývoj webovej aplikácie pre potreby
hydrologického modelovania. Technická univerzita Ostrava. PDF
2018
Garnier S. (2018). Évaluation de la qualité des prévisions
saisonnières de pluies, de températures et débits en France. Université
de Montpellier, Irstea, Antony, France. PDF
Huang P. (2018). Impact of coupling an actual evapotranspiration
model with a lumped hydrological model to improve hydrological
simulations. PolyTech’ Nice-Sophia. PDF
2017
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. PDF
2016
Haddadi I. (2016). Les tests statistiques de significativité
appliqués à l’hydrologie. Université Blaise Pascal, Clermont-Ferrand 2.
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 Paris-Sud, Paris 11. PDF
Conferences
2024
Sarigil G., Neri M. & Toth E. (2024). An indirect validation of
national and international gridded precipitation products in Northern
Italy through rainfall-runoff model application. RETURN Dissemination
Workshop. Turin (Italy), 1-2 February 2024. PDF
abstract
2023
Neri M. & Toth E. (2023). On the accurate simulation of
hydrological droughts in Alpine regions: investigating the multiple role
of rainfall-runoff model dynamics and basin characteristics. 20th
edition of the European Geoscience Union General Assembly. Vienna
(Austria), 24–28 April 2023. doi: 10.5194/egusphere-egu23-8153.
2022
Nonki R.M., Amoussou E., Tshimanga R.M., Koubodana H.D., Kemgang
Ghomsi F.E. & Lenouo A. (2022). Performance assessment of a daily
time-step HYMOD conceptual rainfall-runoff model for the Upper Benue
River, Cameroon. 11th edition of the IAHS Scientific Assembly.
Montpellier, France. 29 May to 3 June 2024. doi: 10.5194/iahs2022-547
Poncet N., Lucas-Picher P., Tramblay Y. & Thirel G. (2022). Does
a convection-permitting climate model improve the simulation of flash
floods? A case study over a Mediterranean watershed. 11th edition of the
IAHS Scientific Assembly. Montpellier, France. 29 May to 3 June 2024.
doi: 10.5194/iahs2022-589
Royer-Gaspard P., Bourgin F., de Lavenne A., Perrin C. & Thirel
G. (2022). Seeking best streamflow assimilation scheme in a
semi-distributed hydrological model for flood forecasting. 11th edition
of the IAHS Scientific Assembly. Montpellier, France. 29 May to 3 June
2024. doi: 10.5194/iahs2022-339
Thébault C., Perrin C., Andréassian V., Thirel G. & Legrand S.
(2022). Combining multiple hydrological model structures in a
semi-distributed modelling environment. 11th edition of the IAHS
Scientific Assembly. Montpellier, France. 29 May to 3 June 2024. doi: 10.5194/iahs2022-490
2021
Dorchies D., Delaigue O. & Thirel G. (2021). Prise en compte des
influences avec le package airGRiwrm. 4th edition of the HydroGR Days.
Antony (France), 7-8 December 2021. PDF slideshow
Dorchies D., Delaigue O. & Thirel G. (2021). airGRiwrm: an
extension of the airGR R-package for handling Integrated Water Resources
Management modeling. 18th edition of the European Geoscience Union
General Assembly. Online, 19-30 April 2021. doi: 10.5194/egusphere-egu21-2190.
PDF
abstract
Kourakos V., Efstratiadis A. & Tsoukalas I. (2021). Can
hydrological model identifiability be improved? Stress-testing the
concept of stochastic calibration. 18th edition of the European
Geoscience Union General Assembly. Online, 19-30 April 2021. doi: 10.5194/egusphere-egu21-11704.
PDF
slideshow
Papacharalampous G., Tyralis H., Koutsoyiannis D. & Montanari A.
(2021). Large-scale calibration of conceptual rainfall-runoff models for
two-stage probabilistic hydrological post-processing. 18th edition of
the European Geoscience Union General Assembly. Online, 19-30 April
2021. doi: 10.5194/egusphere-egu21-18.
PDF
slideshow
2019
Barria Sandoval I., Barria P., Carrasco J. & Casassa G. (2019).
Open source tools as an instrument for decision- making for adaptation
to climate change: airGR GR2M streamflow projections. 1st edition of the
Congreso Internacional de Gestión Integral del Agua. Cochabamba
(Bolivia), 2-4 October 2019. PDF
slideshow
Sapač K., Rusjan S., Bezak N. & Šraj M. (2019). Analysis of
low-flow conditions in a heterogeneous karst catchment as a basis for
future planning of water resource management. 28th nedition of the
Conference of the Danubian countries on hydrological forecasting and
hydrological bases of water management. Kiev (Ukraine), 6-8 November
2019. PDF
proceedings
Tyralis H., Papacharalampous G., Burnetas A. & Langousis A.
(2019). Stacking of probabilistic predictions for improving hydrological
forecasts. 17th edition of the European Geoscience Union General
Assembly. Vienna (Austria), 7-12 April 2019. PDF
slideshow
2018
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 (China), 6-9 November
2018.
Newcomb A. & Smith S. (2018). Dams and Hydrologic Regime in the
Penobscot River: A reappraisal based on historical records and
hydrologic modeling. 4th edition of the Maine Sustainability & Water
Conference. Augusta (United States of America), 29 March 2018. PDF
poster
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
(Austria), 23-28 April 2017. PDF
abstract
Roux Q. & Brigode P. (2018). How long would we have to wait
before (re)filling the Malpasset dam reservoir? An example of a teaching
project done using R and airGR modeling packages. 16th edition of the
European Geoscience Union General Assembly. Vienna (Austria), 8-13 April
2018. PDF
poster
Book chapters
2024
Singh V.P., Singh R., Paul P.K., Bisht D.S. & Gaur S. (2024).
Uncertainty Analysis in Hydrologic Modelling. In: Hydrological Processes
Modelling and Data Analysis: A Primer. pp. 203–227. Springer Nature
Singapore, Singapore. doi: 10.1007/978-981-97-1316-5_10
2021
Muñoz Castro E. & Mendoza P. (2021). Identificabilidad de
parámetros en modelos hidrológicos GR4J: ¿Somos consistentes? In: Rutas
Hidrólogicas. pp. 33–45. Ingeniería Civil - Universidad de Chile. PDF
Manuals
2020
Zambrano-Bigiarini M. (2020). Tutorial for using hydroPSO to
calibrate the GR4J model. doi: 10.1061/9780784482339.029
Murphy C. & Grainger S. (2024). CROSSDRO: Cross-sectoral Drought
Impacts in Complex European Basins. Environmental Protection Agency,
Wexford. PDF
Murphy C. & Meresa H. (2024). HydroPredict: Ensemble River Flow
Scenarios for Climate Change Adaptation. Environmental Protection Agency
Ireland (EPA), Johnstown Castle, Wexford. PDF
2023
Jaafar H., Hazimeh R., Mourad R., Pérez-Blanco C.D., González-López
H., Marta Debolini D.D. andNina G., et al. (2023). Talanoa Water.
Deliverable 2.2: Water accounting database V2.0. American University of
Beirut, Universidad de Salamanca, INRAE, GECOsistema, GPAI, INA. PDF
Le Coz J., Camenen B., Lang M., Bourgin F., Andréassian V., Delaigue
O., et al. (2023). Analyse des crues de juillet 2021. INRAE. HAL
2020
Grandry M., Degré A. & Gailliez S. (2020). HydroTrend 2. Analyse
de l’évolution de l’amplitude et de la fréquence des débits de crue en
Région Wallonne. ULiège - Gembloux Agro-Bio Tech. ORBi