Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.153
IF5.153
IF 5-year value: 5.460
IF 5-year
5.460
CiteScore value: 7.8
CiteScore
7.8
SNIP value: 1.623
SNIP1.623
IPP value: 4.91
IPP4.91
SJR value: 2.092
SJR2.092
Scimago H <br class='widget-line-break'>index value: 123
Scimago H
index
123
h5-index value: 65
h5-index65
Volume 17, issue 6
Hydrol. Earth Syst. Sci., 17, 2131–2146, 2013
https://doi.org/10.5194/hess-17-2131-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 17, 2131–2146, 2013
https://doi.org/10.5194/hess-17-2131-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 05 Jun 2013

Research article | 05 Jun 2013

Predictability of Western Himalayan river flow: melt seasonal inflow into Bhakra Reservoir in northern India

I. Pal et al.

Related subject area

Subject: Rivers and Lakes | Techniques and Approaches: Stochastic approaches
Flood trends in Europe: are changes in small and big floods different?
Miriam Bertola, Alberto Viglione, David Lun, Julia Hall, and Günter Blöschl
Hydrol. Earth Syst. Sci., 24, 1805–1822, https://doi.org/10.5194/hess-24-1805-2020,https://doi.org/10.5194/hess-24-1805-2020, 2020
Short summary
A large sample analysis of European rivers on seasonal river flow correlation and its physical drivers
Theano Iliopoulou, Cristina Aguilar, Berit Arheimer, María Bermúdez, Nejc Bezak, Andrea Ficchì, Demetris Koutsoyiannis, Juraj Parajka, María José Polo, Guillaume Thirel, and Alberto Montanari
Hydrol. Earth Syst. Sci., 23, 73–91, https://doi.org/10.5194/hess-23-73-2019,https://doi.org/10.5194/hess-23-73-2019, 2019
Short summary
Discharge hydrograph estimation at upstream-ungauged sections by coupling a Bayesian methodology and a 2-D GPU shallow water model
Alessia Ferrari, Marco D'Oria, Renato Vacondio, Alessandro Dal Palù, Paolo Mignosa, and Maria Giovanna Tanda
Hydrol. Earth Syst. Sci., 22, 5299–5316, https://doi.org/10.5194/hess-22-5299-2018,https://doi.org/10.5194/hess-22-5299-2018, 2018
Short summary
Large-scale hydrological model river storage and discharge correction using a satellite altimetry-based discharge product
Charlotte Marie Emery, Adrien Paris, Sylvain Biancamaria, Aaron Boone, Stéphane Calmant, Pierre-André Garambois, and Joecila Santos da Silva
Hydrol. Earth Syst. Sci., 22, 2135–2162, https://doi.org/10.5194/hess-22-2135-2018,https://doi.org/10.5194/hess-22-2135-2018, 2018
Short summary
Influence of solar forcing, climate variability and modes of low-frequency atmospheric variability on summer floods in Switzerland
J. C. Peña, L. Schulte, A. Badoux, M. Barriendos, and A. Barrera-Escoda
Hydrol. Earth Syst. Sci., 19, 3807–3827, https://doi.org/10.5194/hess-19-3807-2015,https://doi.org/10.5194/hess-19-3807-2015, 2015
Short summary

Cited articles

Akaike, H.: A new look at the statistical model identification, IEEE T. Automat. Contr., 19, 716–723, 1974.
Araghinejad, S., Burn, D. H., and Karamouz, M.: Long-lead probabilistic forecasting of stream flow using ocean atmospheric and hydrological predictors, Water Resour. Res., 42, W03431, https://doi.org/10.1029/2004WR003853, 2006.
Archer, D.: Contrasting hydrological regimes in the upper Indus basin, J. Hydrol., 274, 198–210, 2003.
Barlow, M. A. and Tippett, M. K.: Variability and Predictability of Central Asia River Flows: Antecedent Winter Precipitation and Large-Scale Teleconnections, J. Hydrometeorol., 9, 1334–1349, 2008.
Bracken, C., Rajagopalan, B., and Prairie, J.: A multisite seasonal ensemble streamflow forecasting technique, Water Resour. Res., 46, W03532, https://doi.org/10.1029/2009WR007965, 2010.
Publications Copernicus
Download
Citation