Articles | Volume 15, issue 9
https://doi.org/10.5194/hess-15-2853-2011
https://doi.org/10.5194/hess-15-2853-2011
Research article
 | 
13 Sep 2011
Research article |  | 13 Sep 2011

Low-frequency variability of European runoff

L. Gudmundsson, L. M. Tallaksen, K. Stahl, and A. K. Fleig

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Stochastic approaches
A mixed distribution approach for low-flow frequency analysis – Part 1: Concept, performance, and effect of seasonality
Gregor Laaha
Hydrol. Earth Syst. Sci., 27, 689–701, https://doi.org/10.5194/hess-27-689-2023,https://doi.org/10.5194/hess-27-689-2023, 2023
Short summary
Significant regime shifts in historical water yield in the Upper Brahmaputra River basin
Hao Li, Baoying Shan, Liu Liu, Lei Wang, Akash Koppa, Feng Zhong, Dongfeng Li, Xuanxuan Wang, Wenfeng Liu, Xiuping Li, and Zongxue Xu
Hydrol. Earth Syst. Sci., 26, 6399–6412, https://doi.org/10.5194/hess-26-6399-2022,https://doi.org/10.5194/hess-26-6399-2022, 2022
Short summary
A geostatistical spatially varying coefficient model for mean annual runoff that incorporates process-based simulations and short records
Thea Roksvåg, Ingelin Steinsland, and Kolbjørn Engeland
Hydrol. Earth Syst. Sci., 26, 5391–5410, https://doi.org/10.5194/hess-26-5391-2022,https://doi.org/10.5194/hess-26-5391-2022, 2022
Short summary
Low-flow estimation beyond the mean – expectile loss and extreme gradient boosting for spatiotemporal low-flow prediction in Austria
Johannes Laimighofer, Michael Melcher, and Gregor Laaha
Hydrol. Earth Syst. Sci., 26, 4553–4574, https://doi.org/10.5194/hess-26-4553-2022,https://doi.org/10.5194/hess-26-4553-2022, 2022
Short summary
Impact of bias nonstationarity on the performance of uni- and multivariate bias-adjusting methods: a case study on data from Uccle, Belgium
Jorn Van de Velde, Matthias Demuzere, Bernard De Baets, and Niko E. C. Verhoest
Hydrol. Earth Syst. Sci., 26, 2319–2344, https://doi.org/10.5194/hess-26-2319-2022,https://doi.org/10.5194/hess-26-2319-2022, 2022
Short summary

Cited articles

Barlow, M., Nigam, S., and Berbery, E. H.: ENSO, Pacific Decadal Variability, and U.S. Summertime Precipitation, Drought, and Stream Flow, J. Climate, 14, 2105–2128, https://doi.org/10.1175/1520-0442(2001)014<2105:EPDVAU>2.0.CO;2, 2001.
Barstad, I., Grabowski, W. W., and Smolarkiewicz, P. K.: Characteristics of large-scale orographic precipitation: Evaluation of linear model in idealized problems, J. Hydrol., 340, 78–90, https://doi.org/10.1016/j.jhydrol.2007.04.005, 2007.
Barstad, I., Sorteberg, A., Flatø, F., and D{é}qu{é}, M.: Precipitation, temperature and wind in Norway: dynamical downscaling of ERA40, Clim. Dynam., 33, 769–776, https://doi.org/10.1007/s00382-008-0476-5, 2009.
Bierkens, M. F. P. and van den Hurk, B. J. J. M.: Groundwater convergence as a possible mechanism for multi-year persistence in rainfall, Geophys. Res. Lett., 34, L02402, https://doi.org/10.1029/2006GL028396, 2007.
Bjørnstad, O. N.: ncf: spatial nonparametric covariance functions, http://CRAN.R-project.org/package=ncf, last access: 9 September 2011, r package version 1.1-3, 2009.
Download