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 19, issue 2
Hydrol. Earth Syst. Sci., 19, 747–770, 2015
https://doi.org/10.5194/hess-19-747-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 19, 747–770, 2015
https://doi.org/10.5194/hess-19-747-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 04 Feb 2015

Research article | 04 Feb 2015

Model study of the impacts of future climate change on the hydrology of Ganges–Brahmaputra–Meghna basin

M. Masood et al.

Related authors

MIROC-INTEG-LAND version 1: a global biogeochemical land surface model with human water management, crop growth, and land-use change
Tokuta Yokohata, Tsuguki Kinoshita, Gen Sakurai, Yadu Pokhrel, Akihiko Ito, Masashi Okada, Yusuke Satoh, Etsushi Kato, Tomoko Nitta, Shinichiro Fujimori, Farshid Felfelani, Yoshimitsu Masaki, Toshichika Iizumi, Motoki Nishimori, Naota Hanasaki, Kiyoshi Takahashi, Yoshiki Yamagata, and Seita Emori
Geosci. Model Dev., 13, 4713–4747, https://doi.org/10.5194/gmd-13-4713-2020,https://doi.org/10.5194/gmd-13-4713-2020, 2020
Short summary
Enhancement and validation of the state-of-the-art global hydrological model H08 (v.bio1) to simulate second-generation herbaceous bioenergy crop yield
Zhipin Ai, Naota Hanasaki, Vera Heck, Tomoko Hasegawa, and Shinichiro Fujimori
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2020-179,https://doi.org/10.5194/gmd-2020-179, 2020
Revised manuscript accepted for GMD
Short summary
Global scenarios of irrigation water use for bioenergy production: a systematic review
Fabian Stenzel, Dieter Gerten, and Naota Hanasaki
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-338,https://doi.org/10.5194/hess-2020-338, 2020
Revised manuscript under review for HESS
Short summary
Uncertainty of simulated groundwater recharge at different global warming levels: A global-scale multi-model ensemble study
Robert Reinecke, Hannes Müller Schmied, Tim Trautmann, Peter Burek, Martina Flörke, Simon N. Gosling, Manolis Grillakis, Naota Hanasaki, Aristeidis Koutroulis, Yadu Pokhrel, Lauren Seaby, Wim Thiery, Yoshihide Wada, Satoh Yusuke, and Petra Döll
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-235,https://doi.org/10.5194/hess-2020-235, 2020
Revised manuscript under review for HESS
Short summary
Enhancement and validation of a state-of-the-art global hydrological model H08 (v.bio1) to simulate second-generation herbaceous bioenergy crop yield
Zhipin Ai, Naota Hanasaki, Vera Heck, Tomoko Hasegawa, and Shinichiro Fujimori
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-277,https://doi.org/10.5194/gmd-2019-277, 2019
Revised manuscript not accepted
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Which rainfall score is more informative about the performance in river discharge simulation? A comprehensive assessment on 1318 basins over Europe
Stefania Camici, Christian Massari, Luca Ciabatta, Ivan Marchesini, and Luca Brocca
Hydrol. Earth Syst. Sci., 24, 4869–4885, https://doi.org/10.5194/hess-24-4869-2020,https://doi.org/10.5194/hess-24-4869-2020, 2020
Short summary
Assimilation of Soil Moisture and Ocean Salinity (SMOS) brightness temperature into a large-scale distributed conceptual hydrological model to improve soil moisture predictions: the Murray–Darling basin in Australia as a test case
Renaud Hostache, Dominik Rains, Kaniska Mallick, Marco Chini, Ramona Pelich, Hans Lievens, Fabrizio Fenicia, Giovanni Corato, Niko E. C. Verhoest, and Patrick Matgen
Hydrol. Earth Syst. Sci., 24, 4793–4812, https://doi.org/10.5194/hess-24-4793-2020,https://doi.org/10.5194/hess-24-4793-2020, 2020
Short summary
Frequency and magnitude variability of Yalu River flooding: numerical analyses for the last 1000 years
Hui Sheng, Xiaomei Xu, Jian Hua Gao, Albert J. Kettner, Yong Shi, Chengfeng Xue, Ya Ping Wang, and Shu Gao
Hydrol. Earth Syst. Sci., 24, 4743–4761, https://doi.org/10.5194/hess-24-4743-2020,https://doi.org/10.5194/hess-24-4743-2020, 2020
Short summary
Assessing the degree of detail of temperature-based snow routines for runoff modelling in mountainous areas in central Europe
Marc Girons Lopez, Marc J. P. Vis, Michal Jenicek, Nena Griessinger, and Jan Seibert
Hydrol. Earth Syst. Sci., 24, 4441–4461, https://doi.org/10.5194/hess-24-4441-2020,https://doi.org/10.5194/hess-24-4441-2020, 2020
Short summary
Adaptive clustering: reducing the computational costs of distributed (hydrological) modelling by exploiting time-variable similarity among model elements
Uwe Ehret, Rik van Pruijssen, Marina Bortoli, Ralf Loritz, Elnaz Azmi, and Erwin Zehe
Hydrol. Earth Syst. Sci., 24, 4389–4411, https://doi.org/10.5194/hess-24-4389-2020,https://doi.org/10.5194/hess-24-4389-2020, 2020
Short summary

Cited articles

Abrams, P.: River Ganges, available at: http://www.africanwater.org/ganges.htm (last access date: 13 July 2014), 2003.
Biemans, H., Speelman, L. H., Ludwig, F., Moors, E. J., Wiltshire, A. J., Kumar, P., Gerten, D., and Kabat, P.: Future water resources for food production in five South Asian river basins and potential for adaptation – A modeling study, Sci. Total Environ., 468–469, Supplement, S117–S131, https://doi.org/10.1016/j.scitotenv.2013.05.092, 2013.
BWDB: Rivers of Bangladesh, Bangladesh Water Development Board, Dhaka, 2012.
Carpenter, T. M. and Georgakakos, K. P.: Intercomparison of lumped versus distributed hydrologic model ensemble simulations on operational forecast scales, J. Hydrol., 329, 174–185, https://doi.org/10.1016/j.jhydrol.2006.02.013, 2006.
Chowdhury, M. R.: An Assessment of Flood Forecasting in Bangladesh: The Experience of the 1998 Flood, Nat. Hazards, 139–163, 2000.
Publications Copernicus
Download
Short summary
A hydrologic model H08 is calibrated and validated on the Ganges-Brahmaputra-Meghna basin by addressing model parameter-related uncertainty. The impacts of climate change on runoff, evapotranspiration, net radiation and soil moisture are assessed by using five CMIP5 GCMs. The paper reveals the higher possibility of flood occurrence in the Meghna Basin due to the highest increase in runoff. Findings provide indispensable basis for scientifically based decision-making in climate change adaptation.
A hydrologic model H08 is calibrated and validated on the Ganges-Brahmaputra-Meghna basin by...
Citation