Open Access
Issue |
E3S Web Conf.
Volume 346, 2022
ICOLD & CFBR Symposium - SHARING WATER: MULTI-PURPOSE OF RESERVOIRS AND INNOVATIONS
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Article Number | 04008 | |
Number of page(s) | 15 | |
Section | Thème 4. Exploitation des aménagements multi-usages / Theme 4. Operating Multi-usage Facilities | |
DOI | https://doi.org/10.1051/e3sconf/202234604008 | |
Published online | 23 May 2022 |
- J. C. Vörösmarty, A. Askew, W. Grabs, R. G. Barry, C. Birkett, P.D.B. Goodison, A. Hall, R. Jenne, L. Kitaev, J. Landwehr, M. Keeler, G. Leavesley, J. Schaake, K. Strzepek, S.S. Sundarvel, K. Takeuchi, F. Webster, Global water data: A newly endangered species, Eos, Transactions American Geophysical Union, 82 (5):54–58 (2001) [CrossRef] [Google Scholar]
- T. Lebel, J.D. Taupin, N. D’Amato, Rainfall monitoring during HAPEX-Sahel, 1. General rainfall conditions and climatology, J. Hydrol. 189, 74—96 (1997) [CrossRef] [Google Scholar]
- J. Li, A. Heap, Spatial Interpolation Methods: A Review for Environmental Scientists (2008) [Google Scholar]
- A. Paris, Utilisation conjointe de données d'altimétrie satellitaire et de modélisation pour le calcul des débits distribués dans le bassin amazonien, Hydrologie, Université Paul Sabatier - Toulouse III (2015) [Google Scholar]
- F. Satge, D. D. Defrance, B. Sultan, M.-P. Bonnet, F. Seyler, N. Rouché, F. Pierron, J.E. Paturel, Evaluation of 23 gridded precipitation datasets across West Africa, Journal of Hydrology (2019) [Google Scholar]
- H. Alexandersson, A homogeneity test applied to precipitation data. J. Climatol. 6, 661–675 (1986) [CrossRef] [Google Scholar]
- G. J. Huffman, R. F. Adler, D. T. Bolvin, E. J. Nelkin, The TRMM Multi-satellite Precipitation Analysis (TMPA), Satell. Rainfall Appl. Surf. Hydrol. 3–22 (2010) [CrossRef] [Google Scholar]
- G. Huffman, D. Bolvin, D. Braithwaite, K. Hsu, R. Joyce, C. Kidd, E. J. Nelkin, S. Sorroshian, J. Tan, P. Xie, Algorithm Theoretical Basis Document (ATBD) NASA Global Precipitation Measurement (GPM) Integrated Multi-satellitE Retrievals for GPM (IMERG) (2018) [Google Scholar]
- G. Huffman, J. R. F. Adler, M. M. Morrissey, S. Curtis, R. Joyce, B. McGavock, J. Susskind, Global precipitation at one-degree daily resolution from multi-satellite observations, J. Hydrometeor., 2, 36–50 (2001) [CrossRef] [Google Scholar]
- U. Schneider, Becker, A. Finger, GPCC's new land surface precipitation climatology based on quality-controlled in situ data and its role in quantifying the global water cycle, Theor Appl Climatol 115, 15–40 (2014) [CrossRef] [Google Scholar]
- C. Funk, A. Verdin, J. Michaelsen, P. Peterson, P. Pedreros, G. Husak, 2015, A global satellite-assisted precipitation climatology, Earth Syst. Sci. Data 7, 275–287 (2015) [CrossRef] [Google Scholar]
- J. E. Nash, J. V. Sutcliffe, River flow forecasting through conceptual models, Part ia discussion of principles, Journal of hydrology, 10(3), 282–290 (1970) [CrossRef] [Google Scholar]
- T. Mathevet, C. Michel, V. Andréassian, C. Perrin, A bounded version of the Nash- Sutcliffe criterion for better model assessment on large sets of basins, IAHS-AISH Publication. 307, 211–219 (2006) [Google Scholar]
- S. Baillargeon, Le krigeage : revue de la théorie et application à l’interpolation spatiale de données de précipitations (2005) [Google Scholar]
- I. Harris, T.J. Osborn, P. Jones, D. Lister, Version 4 of the CRU TS Monthly HighResolution Gridded Multivariate Climate Dataset, Sci Data 7, 109 (2020) [CrossRef] [PubMed] [Google Scholar]
- L. Coron, G. Thirel, O. Delaigue, C. Perrin, V. Andréassian, The Suite of Lumped GR Hydrological Models in an R Package, Environmental Modelling and Software, 94, 166–171 (2017) [CrossRef] [Google Scholar]
- L. Coron, O. Delaigue, G. Thirel, C. Perrin, C. Michel, Airgr: Suite of GR Hydrological Models for Precipitation-Runoff Modelling, R package version X.X.X.X. [Google Scholar]
- C. Michel, Que peut-on faire en hydrologie avec un modèle à un paramètre ? La Houille Blanche 1, 39–44 (1983) [CrossRef] [EDP Sciences] [Google Scholar]
- C. Perrin, C. Michel, V. Andréassian, Improvement of a parsimonious model for streamflow simulation, Journal of Hydrology 279, 275–289 (2003) [CrossRef] [Google Scholar]
- N. Le Moine, Le bassin versant de surface vu par le souterrain : une voie d’amélioration des performances et du réalisme des modèles pluie-débit ? Ph.D. thesis (2008) [Google Scholar]
- C. Poncelet, Du bassin au paramètre : jusqu’où peut-on régionaliser un modèle hydrologique conceptuel ? Hydrologie, Université Pierre et Marie Curie - Paris VI (2016) [Google Scholar]
- V. K. Gupta, S. Sorooshian, The relationship between data and the precision of parameter estimates of hydrologic models, Journal of Hydrology 81, 57–77 (1985) [CrossRef] [Google Scholar]
- A. Valéry, V. Andréassian, C. Perrin, ‘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 (2014) [CrossRef] [Google Scholar]
- A. Valéry, V. Andréassian, C. Perrin, ‘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) (2014) [Google Scholar]
- J. Odry, Prédétermination des débits de crues extrêmes en sites non jaugés, Régionalisation de la méthode par simulation SHYREG, Sciences de l’environnement, Doctorat géosciences de l’environnement, Aix-Marseille Université (2017) [Google Scholar]
- L. Lebecherel, Sensibilité des calculs hydrologiques à la densité des réseaux de mesure hydrométrique et pluviométrique, Ph.D. thesis, AgroParisTech, Paris (2015) [Google Scholar]
- L. Oudin, V. Andréassian, C. Perrin, C. Michel, N. Le Moine, Spatial proximity, physical similarity, regression and ungaged catchments, A comparison of regionalization approaches based on 913 French catchments, Water Resources Research 44 (2008) [CrossRef] [Google Scholar]
- L. Breiman, Random Forests, Mach, Learn, 45, 5–32 (2001) [CrossRef] [Google Scholar]
- M. Saadi, L. Oudin, P. Ribstein, Random Forest Ability in Regionalizing Hourly Hydrological Model Parameters, Water, 11, 1540 (2019) [CrossRef] [Google Scholar]
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