Highlighted Papers

The papers below contain an explicit acknowledgement to Panta Rhei. The community is invited to give them visibility by citing them when they are relevant and exchanging opinion and views with the authors. To include papers in the list please see here.

Di Baldassarre, G., L. Brandimarte, and K. Beven (2016). The seventh facet of uncertainty: wrong assumptions, unknowns and surprises in the dynamics of human-water systems. Hydrological Sciences Journal, 61(9), 1748-1758.
http://www.tandfonline.com/doi/abs/10.1080/02626667.2015.1091460

Di Baldassarre, G., A. Viglione, G. Carr, L. Kuil, K. Yan, L. Brandimarte, and G. Blöschl (2015). Perspectives on socio-hydrology: Capturing feedbacks between physical and social processes. Water Resources Research, 51, 4770–4781.
http://onlinelibrary.wiley.com/doi/10.1002/2014WR016416/full

Zhao, X., J. Liu, H. Yang, R. Duarte, M. R Tillotson, and K. Hubacek (2016), Burden shifting of water quantity and quality stress from megacity Shanghai, Water Resour. Res., 52, doi:10.1002/2016WR018595.
http://onlinelibrary.wiley.com/doi/10.1002/2016WR018595/abstract

Cudennec C., Gelfan A., Ren L., Slimani M. (2016) Hydrometeorology and Hydroclimate. Advances in Meteorology. Vol. 2016, http://dx.doi.org/10.1155/2016/1487890.
https://www.hindawi.com/journals/amete/2016/1487890/

Gelfan A., Gustafsson D., Motovilov Yu., Arheimer B., Kalugin A., Krylenko I., Lavrenov A. (2016) Climate change impact on the water regime of two great Arctic rivers: modeling and uncertainty issues. Climatic Change. doi 10.1007/s10584-016-1710-5
http://link.springer.com/article/10.1007/s10584-016-1710-5

Van Loon, A. F., Stahl, K., Di Baldassarre, G., Clark, J., Rangecroft, S., Wanders, N., Gleeson, T., Van Dijk, A. I. J. M., Tallaksen, L. M., Hannaford, J., Uijlenhoet, R., Teuling, A. J., Hannah, D. M., Sheffield, J., Svoboda, M., Verbeiren, B., Wagener, T., and Van Lanen, H. A. J.: Drought in a human-modified world: reframing drought definitions, understanding, and analysis approaches, Hydrol. Earth Syst. Sci., 20, 3631-3650, doi:10.5194/hess-20-3631-2016, 2016.
http://www.hydrol-earth-syst-sci.net/20/3631/2016/hess-20-3631-2016.html

N.J. Mount, H.R. Maier, E. Toth, A. Elshorbagy, D. Solomatine, F.-J. Chang & R.J. Abrahart (2016). Data-driven modelling approaches for socio-hydrology: opportunities and challenges within the Panta Rhei Science Plan. Hydrological Sciences Journal, 61:7, 1192-1208, DOI: 10.1080/02626667.2016.1159683 http://www.tandfonline.com/doi/abs/10.1080/02626667.2016.1159683

Krueger, T., Maynard, C., Carr, G., Bruns, A., Mueller, E. N. and Lane, S. (2016), A transdisciplinary account of water research. WIREs Water. doi:10.1002/wat2.1132. http://onlinelibrary.wiley.com/doi/10.1002/wat2.1132/full

Schyns, J.F., Hamaideh, A., Hoekstra, A.Y., Mekonnen, M.M., Schyns, M. Mitigating the Risk of Extreme Water Scarcity and Dependency: The Case of Jordan. Water 2015(7): 5705-5730. http://www.mdpi.com/2073-4441/7/10/5705/htm

Schyns, J. F., Hoekstra, A. Y., and Booij, M. J.: Review and classification of indicators of green water availability and scarcity, Hydrol. Earth Syst. Sci., 19, 4581-4608, doi:10.5194/hess-19-4581-2015, 2015. http://www.hydrol-earth-syst-sci.net/19/4581/2015/hess-19-4581-2015.pdf

Liu J., Zhao D., Gerbens-Leenes P.W., Guan D., 2015. China’s rising hydropower demand challenges water sector. Scientific Reports 5: 11446. http://www.nature.com/articles/srep11446

Liu J., Liu Q., Yang H., 2016. Assessing water scarcity by simultaneously considering environmental flow requirements, water quantity, and water quality.Ecological Indicators 60: 434-441. http://www.sciencedirect.com/science/article/pii/S1470160X15004045

Savenije, H. H. G., Hoekstra, A. Y., and van der Zaag, P.: Evolving water science in the Anthropocene, Hydrol. Earth Syst. Sci., 18, 319-332, doi:10.5194/hess-18-319-2014, 2014.

Thompson, S. E., Sivapalan, M., Harman, C. J., Srinivasan, V., Hipsey, M. R., Reed, P., Montanari, A., and Blöschl, G.: Developing predictive insight into changing water systems: use-inspired hydrologic science for the Anthropocene, Hydrol. Earth Syst. Sci., 17, 5013-5039, doi:10.5194/hess-17-5013-2013, 2013.

H. V. Gupta, C. Perrin, G. Blöschl, A. Montanari, R. Kumar, M. Clark, and V. Andréassian, Large-sample hydrology: a need to balance depth with breadth, Hydrol. Earth Syst. Sci., 18, 463-477, 2014.

Gelfan, A.; Motovilov, Yu.; Krylenko, I.; Moreido, V. & Zakharova, E. Testing robustness of the physically-based ECOMAG model with respect to changing conditions. Hydrological Sciences Journal. DOI:10.1080/02626667.2014.935780, 2014.

Danilov-Danilyan V.I., Gelfan A.N., Motovilov Yu.G., Kalugin A.S. (2014) Disastrous flood of 2013 in the Amur Basin: genesis, recurrence assessment, simulation results. Water Resources, Vol. 41, No. 2, pp. 115–125.

Rossel, F., Gironás, J., Mejía, A., Rinaldo, A., Rodriguez, F. (2014) Spatial characterization of catchment dispersion mechanisms in an urban context. Advances in Water Resources 74, 290-301.

T. Bibikova, S. Acharjee, I. Vishnevskaya. Water Security in an Urban Change // Proceedings of the VIIIth International Scientific Conference of the Young Scientists and Talented Students “Water Resources, Ecology and Hydrological Safety”, June 25-27, 2014, Moscow. P. 22-25.

Schyns, J.F. and Hoekstra, A.Y. (2014) The water footprint in Morocco: The added value of Water Footprint Assessment for national water policy, Value of Water Research Report Series No. 67, UNESCO-IHE, Delft, the Netherlands. Available from:http://www.waterfootprint.org/Reports/Report67-WaterFootprintMorocco.pdf

Chouchane, H., Hoekstra, H.Y., Krol, M.S.., Mekonnen, M.M., The water footprint of Tunisia from an economic perspective, Ecological Indicators, Volume 52, 2015, pp. 311-319,http://dx.doi.org/10.1016/j.ecolind.2014.12.015. Available from:http://www.sciencedirect.com/science/article/pii/S1470160X14005913.

Mekonnen, M.M., M. Pahlow, M.M. Aldaya, E. zarate and A.Y. Hoekstra (2015) Sustainability, efficiency and equitability of water consumption and pollution in Latin America and the Caribbean, Sustainability, 7(2), 2086-2112; doi:10.3390/su7022086. Available at http://www.mdpi.com/2071-1050/7/2/2086.

Montanari, A., Ceola S., and Baratti, E., Panta Rhei: an evolving scientific decade with a focus on water systems, in: Evolving Water Resources Systems: Understanding, Predicting and Managing Water–Society Interactions, edited by A. Castellarin et al., Proceedings of ICWRS2014, Bologna, Italy, June 2014 (IAHS Publ. 364, 2014), 279-284.

Sikorska, A.E., Montanari, A., Koutsoyiannis, D., Estimating the Uncertainty of Hydrological Predictions through Data-Driven Resampling Techniques, Journal of Hydrologic Engineering, 20, 2015.

Montanari, A., Koutsoyiannis, D., Modeling and mitigating natural hazards: Stationarity is immortal!, Water Resources Research, 50, 9748-9756, 2014.

Ceola, S., Montanari, A. and Koutsoyiannis, D. (2014), Toward a theoretical framework for integrated modeling of hydrological change. WIREs Water, 1: 427–438. doi: 10.1002/wat2.1038.

Schaefli, B. (2015), Projecting hydropower production under future climates: a guide for decision-makers and modelers to interpret and design climate change impact assessments. WIREs Water. doi: 10.1002/wat2.1083.

Finger D., Vis M., Huss M. and J. Seibert (2015). The value of multiple data set calibration versus model complexity for improving the performance of hydrological models in mountain catchments. Water Resour. Res., 51, doi:10.1002/2014WR015712.

Tskhai A. (2015). Reservoir impact on water security // IAHS Publ., 366, 196-197, doi: 10.5194/piahs-366-196-2015. Available from: http://www.proc-iahs.net/366/196/2015/piahs-366-196-2015.pdf.

Kienzler, S., Pech, I., Kreibich, H., Müller, M., Thieken, A. H. (2015): After the extreme flood in 2002: changes in preparedness, response and recovery of flood-affected residents in Germany between 2005 and 2011. - Natural Hazards and Earth System Sciences (NHESS), 15, p. 505-526.

Gelfan, A., Semenov, V. A., Gusev, E., Motovilov, Y., Nasonova, O., Krylenko, I., and Kovalev, E.: Large-basin hydrological response to climate model outputs: uncertainty caused by internal atmospheric variability, Hydrol. Earth Syst. Sci., 19, 2737-2754, doi:10.5194/hess-19-2737-2015, 2015.

Gelfan, A., Semenov V., Motovilov, Yu. Climate noise effect on uncertainty of hydrological extremes: numerical experiments with hydrological and climate models. Proc. IAHS, 369, 49-53, 2015 proc-iahs.net/369/49/2015/ doi:10.5194/piahs-369-49-2015.

Krylenko, Motovilov Yu., Antokhina E., Surkova G. Physically based distributed modeling of river runoff under changing climate conditions. Proc. IAHS, 368, 156-161, 2015 doi:10.5194/piahs-368-156-2015

Gelfan, A., Motovilov Yu., Moreido, V. Ensemble seasonal forecast of extreme water inflow into a large reservoir. Proc. IAHS, 369, 115-120, 2015 proc-iahs.net/369/115/2015/ doi:10.5194/piahs-369-115-2015.

Motovilov Yu., Danilov-Daniliyan V., Dod, E., Kalugin A. Flood protection effect of the existing and projected reservoirs in the Amur River basin: evaluation by the hydrological modeling system. Proc. IAHS, 370, 63-67, 2015 proc-iahs.net/370/63/2015/ doi:10.5194/piahs-370-63-2015