Active Filters

  • (-) Eawag Authors = Fenicia, Fabrizio
Search Results 1 - 20 of 22
Select Page
Characterizing fast herbicide transport in a small agricultural catchment with conceptual models
Ammann, L., Doppler, T., Stamm, C., Reichert, P., & Fenicia, F. (2020). Characterizing fast herbicide transport in a small agricultural catchment with conceptual models. Journal of Hydrology, 586, 124812 (15 pp.). https://doi.org/10.1016/j.jhydrol.2020.124812
A review of long-term pesticide monitoring studies to assess surface water quality trends
Chow, R., Scheidegger, R., Doppler, T., Dietzel, A., Fenicia, F., & Stamm, C. (2020). A review of long-term pesticide monitoring studies to assess surface water quality trends. Water Research X, 9, 100064 (13 pp.). https://doi.org/10.1016/j.wroa.2020.100064
Understanding dominant controls on streamflow spatial variability to set up a semi-distributed hydrological model: the case study of the Thur catchment
Dal Molin, M., Schirmer, M., Zappa, M., & Fenicia, F. (2020). Understanding dominant controls on streamflow spatial variability to set up a semi-distributed hydrological model: the case study of the Thur catchment. Hydrology and Earth System Sciences, 24(3), 1319-1345. https://doi.org/10.5194/hess-24-1319-2020
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
Hostache, R., Rains, D., Mallick, K., Chini, M., Pelich, R., Lievens, H., … Matgen, P. (2020). 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. Hydrology and Earth System Sciences, 24(10), 4793-4812. https://doi.org/10.5194/hess-24-4793-2020
Potential and challenges of investigating intrinsic uncertainty of hydrological models with stochastic, time‐dependent parameters
Reichert, P., Ammann, L., & Fenicia, F. (2020). Potential and challenges of investigating intrinsic uncertainty of hydrological models with stochastic, time‐dependent parameters. Water Resources Research. https://doi.org/10.1029/2020WR028400
A likelihood framework for deterministic hydrological models and the importance of non-stationary autocorrelation
Ammann, L., Fenicia, F., & Reichert, P. (2019). A likelihood framework for deterministic hydrological models and the importance of non-stationary autocorrelation. Hydrology and Earth System Sciences, 23(4), 2147-2172. https://doi.org/10.5194/hess-23-2147-2019
Signature-domain calibration of hydrological models using Approximate Bayesian Computation: empirical analysis of fundamental properties
Fenicia, F., Kavetski, D., Reichert, P., & Albert, C. (2018). Signature-domain calibration of hydrological models using Approximate Bayesian Computation: empirical analysis of fundamental properties. Water Resources Research, 54(6), 3958-3987. https://doi.org/10.1002/2017WR021616
Signature-domain calibration of hydrological models using Approximate Bayesian Computation: theory and comparison to existing applications
Kavetski, D., Fenicia, F., Reichert, P., & Albert, C. (2018). Signature-domain calibration of hydrological models using Approximate Bayesian Computation: theory and comparison to existing applications. Water Resources Research, 54(6), 4059-4083. https://doi.org/10.1002/2017WR020528
Modelling biocide and herbicide concentrations in catchments of the Rhine basin
Moser, A., Wemyss, D., Scheidegger, R., Fenicia, F., Honti, M., & Stamm, C. (2018). Modelling biocide and herbicide concentrations in catchments of the Rhine basin. Hydrology and Earth System Sciences, 22(8), 4229-4249. https://doi.org/10.5194/hess-22-4229-2018
Hillslope response to sprinkling and natural rainfall using velocity and celerity estimates in a slate-bedrock catchment
Scaini, A., Hissler, C., Fenicia, F., Juilleret, J., Iffly, J. F., Pfister, L., & Beven, K. (2018). Hillslope response to sprinkling and natural rainfall using velocity and celerity estimates in a slate-bedrock catchment. Journal of Hydrology, 558, 366-379. https://doi.org/10.1016/j.jhydrol.2017.12.011
Velocity and celerity dynamics at plot scale inferred from artificial tracing experiments and time-lapse ERT
Scaini, A., Audebert, M., Hissler, C., Fenicia, F., Gourdol, L., Pfister, L., & Beven, K. J. (2017). Velocity and celerity dynamics at plot scale inferred from artificial tracing experiments and time-lapse ERT. Journal of Hydrology, 546, 28-43. https://doi.org/10.1016/j.jhydrol.2016.12.035
Looking beyond general metrics for model comparison – lessons from an international model intercomparison study
de Boer-Euser, T., Bouaziz, L., De Niel, J., Brauer, C., Dewals, B., Drogue, G., … Willems, P. (2017). Looking beyond general metrics for model comparison – lessons from an international model intercomparison study. Hydrology and Earth System Sciences, 21(1), 423-440. https://doi.org/10.5194/hess-21-423-2017
From spatially variable streamflow to distributed hydrological models: analysis of key modeling decisions
Fenicia, F., Kavetski, D., Savenije, H. H. G., & Pfister, L. (2016). From spatially variable streamflow to distributed hydrological models: analysis of key modeling decisions. Water Resources Research, 52(2), 954-989. https://doi.org/10.1002/2015WR017398
Accounting for the influence of vegetation and landscape improves model transferability in a tropical savannah region
Gao, H., Hrachowitz, M., Sriwongsitanon, N., Fenicia, F., Gharari, S., & Savenije, H. H. G. (2016). Accounting for the influence of vegetation and landscape improves model transferability in a tropical savannah region. Water Resources Research, 52(10), 7999-8022. https://doi.org/10.1002/2016WR019574
Comparing classical performance measures with signature indices derived from flow duration curves to assess model structures as tools for catchment classification
Ley, R., Hellebrand, H., Casper, M. C., & Fenicia, F. (2016). Comparing classical performance measures with signature indices derived from flow duration curves to assess model structures as tools for catchment classification. Hydrology Research, 47(1), 1-14. https://doi.org/10.2166/nh.2015.221
Is catchment classification possible by means of multiple model structures? A case study based on 99 catchments in Germany
Ley, R., Hellebrand, H., Casper, M. C., & Fenicia, F. (2016). Is catchment classification possible by means of multiple model structures? A case study based on 99 catchments in Germany. Hydrology, 3(2), 22 (18 pp.). https://doi.org/10.3390/hydrology3020022
Towards more systematic perceptual model development: a case study using 3 Luxembourgish catchments
Wrede, S., Fenicia, F., Martínez-Carreras, N., Juilleret, J., Hissler, C., Krein, A., … Pfister, L. (2015). Towards more systematic perceptual model development: a case study using 3 Luxembourgish catchments. Hydrological Processes, 29(12), 2731-2750. https://doi.org/10.1002/hyp.10393
Assimilating satellite-derived soil moisture products into a distributed hydrological model
Corato, G., Matgen, P., Fenicia, F., Schlaffer, S., & Chini, M. (2014). Assimilating satellite-derived soil moisture products into a distributed hydrological model. In 2014 IEEE international geoscience & remote sensing symposium (IGARSS) (pp. 3315-3318). https://doi.org/10.1109/IGARSS.2014.6947189
Climate controls how ecosystems size the root zone storage capacity at catchment scale
Gao, H., Hrachowitz, M., Schymanski, S. J., Fenicia, F., Sriwongsitanon, N., & Savenije, H. H. G. (2014). Climate controls how ecosystems size the root zone storage capacity at catchment scale. Geophysical Research Letters, 41(22), 7916-7923. https://doi.org/10.1002/2014GL061668
Testing the realism of a topography-driven model (FLEX-Topo) in the nested catchments of the Upper Heihe, China
Gao, H., Hrachowitz, M., Fenicia, F., Gharari, S., & Savenije, H. H. G. (2014). Testing the realism of a topography-driven model (FLEX-Topo) in the nested catchments of the Upper Heihe, China. Hydrology and Earth System Sciences, 18(5), 1895-1915. https://doi.org/10.5194/hess-18-1895-2014