Water Resources Research:

  1. Tang, Y., Marshall, L., Sharma, A., Ajami, H., & Nott, D. J. (2019). Ecohydrologic error models for improved Bayesian inference in remotely sensed catchments. Water Resources Research. https://doi.org/10.1029/2019WR025055
  2. Brunner, M. I., Hingray, B., Zappa, M., & Favre, A. C. Future trends in the interdependence between flood peaks and volumes: hydro‐climatological drivers and uncertainty. Water Resources Research. https://doi.org/10.1029/2019WR024701
  3. Lee, T., & Ouarda, T. B. (2019). Multivariate Nonstationary Oscillation Simulation of Climate Indices with Empirical Mode Decomposition. Water Resources Research. https://doi.org/10.1029/2018WR023892
  4. Apurv, T., & Cai, X. Evaluation of the stationarity assumption for meteorological drought risk estimation at the multi‐decadal scale in contiguous US. Water Resources Research. https://doi.org/10.1029/2018WR024047

Environmental Modelling and Software:

  •  Badham, J., Elsawah, S., Guillaume, J. H., Hamilton, S. H., Hunt, R. J., Jakeman, A. J., … & Gober, P. (2019). Effective modeling for Integrated Water Resource Management: A guide to contextual practices by phases and steps and future opportunities. Environmental Modelling & Software, 116, 40-56. https://doi.org/10.1016/j.envsoft.2019.02.013

Hydrology and Earth System Sciences:

  • O, S. and Foelsche, U.: Assessment of spatial uncertainty of heavy rainfall at catchment scale using a dense gauge network, Hydrol. Earth Syst. Sci., 23, 2863-2875, https://doi.org/10.5194/hess-23-2863-2019, 2019.
  • Huang, Y., Bárdossy, A., and Zhang, K.: Sensitivity of hydrological models to temporal and spatial resolutions of rainfall data, Hydrol. Earth Syst. Sci., 23, 2647-2663, https://doi.org/10.5194/hess-23-2647-2019, 2019.

Journal of Hydrology:

  •  Goodarzi, L., Banihabib, M. E., & Roozbahani, A. (2019). A decision-making model for flood warning system based on ensemble forecasts. Journal of hydrology, 573, 207-219. https://doi.org/10.1016/j.jhydrol.2019.03.040
  • Chen, Y., Xu, C. Y., Chen, X., Xu, Y., Yin, Y., Gao, L., & Liu, M. (2019). Uncertainty in simulation of land-use change impacts on catchment runoff with multi-timescales based on the comparison of the HSPF and SWAT models. Journal of Hydrology, 573, 486-500. https://doi.org/10.1016/j.jhydrol.2019.03.091
  • Wang, L., Li, X., Ma, C., & Bai, Y. (2019). Improving the prediction accuracy of monthly streamflow using a data-driven model based on a double-processing strategy. Journal of Hydrology, 573, 733-745. https://doi.org/10.1016/j.jhydrol.2019.03.101
  • Strange, B. M., Maxwell, J. T., Robeson, S. M., Harley, G. L., Therrell, M. D., & Ficklin, D. L. (2019). Comparing three approaches to reconstructing streamflow using tree rings in the Wabash River basin in the Midwestern, US. Journal of Hydrology, 573, 829-840. https://doi.org/10.1016/j.jhydrol.2019.03.057
  • Tsegaw, A. T., Alfredsen, K., Skaugen, T., & Muthanna, T. M. (2019). Predicting hourly flows at ungauged small rural catchments using a parsimonious hydrological model. Journal of Hydrology, 573, 855-871. https://doi.org/10.1016/j.jhydrol.2019.03.090

Hydrological Sciences Journal:

  1.  Alipour, M. H., & Kibler, K. M. (2019). Streamflow prediction under extreme data scarcity: a step toward hydrologic process understanding within severely data-limited regions. Hydrological Sciences Journal, https://doi.org/10.1080/02626667.2019.1626991
  2. Ahmadi, A., Nasseri, M., & Solomatine, D. P. (2019). Parametric uncertainty assessment of hydrological models: coupling UNEEC-P and a fuzzy general regression neural network. Hydrological Sciences Journal, 1-15, https://doi.org/10.1080/02626667.2019.1610565

Advances in Water Resources:

  1. Ceriotti, G., Russian, A., Bolster, D., & Porta, G. (2019). A double-continuum transport model for segregated porous media: Derivation and sensitivity analysis-driven calibration. Advances in Water Resources, 128, 206-217. https://doi.org/10.1016/j.advwatres.2019.04.003
  2. Dell’Oca, A., Riva, M., Ackerer, P., & Guadagnini, A. (2019). Solute transport in random composite media with uncertain dispersivities. Advances in Water Resources, 128, 48-58. https://doi.org/10.1016/j.advwatres.2019.04.005
Latest Publications on ‘Hydrologic Uncertainty’ – June 2019

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