Highlighted Panta Rhei 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.

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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
  6. 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.
  7. 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.
  8. 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
  9. 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.
  10. 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
  11. 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.
  12. Sikorska, A.E., Montanari, A., Koutsoyiannis, D., Estimating the Uncertainty of Hydrological Predictions through Data-Driven Resampling Techniques, Journal of Hydrologic Engineering, 20, 2015.
  13. Montanari, A., Koutsoyiannis, D., Modeling and mitigating natural hazards: Stationarity is immortal!, Water Resources Research, 50, 9748-9756, 2014
  14. 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
  15. 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
  16. 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.
  17. 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
  18. 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.
  19. 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.
  20. 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
  21. 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
  22. 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
  23. 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