| Quantifying groundwater recharge dynamics and unsaturated zone processes in snow‐dominated catchments via on‐site dissolved gas analysis
Schilling, O. S., Parajuli, A., Tremblay Otis, C., Müller, T. U., Antolinez Quijano, W., Tremblay, Y., … Therrien, R. (2021). Quantifying groundwater recharge dynamics and unsaturated zone processes in snow‐dominated catchments via on‐site dissolved gas analysis. Water Resources Research. https://doi.org/10.1029/2020WR028479 |
| Assessment and prediction of pore-scale reactive mixing from experimental conservative transport data
Perez, L. J., Hidalgo, J. J., Puyguiraud, A., Jiménez-Martínez, J., & Dentz, M. (2020). Assessment and prediction of pore-scale reactive mixing from experimental conservative transport data. Water Resources Research, 56(6), e2019WR026452 (12 pp.). https://doi.org/10.1029/2019WR026452 |
| Quasi‐online groundwater model optimization under constraints of geological consistency based on iterative importance sampling
Ramgraber, M., Camporese, M., Renard, P., Salandin, P., & Schirmer, M. (2020). Quasi‐online groundwater model optimization under constraints of geological consistency based on iterative importance sampling. Water Resources Research, 56(6), e2019WR026777 (21 pp.). https://doi.org/10.1029/2019WR026777 |
| 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 cellular automata fast flood evaluation (CA‐ffé) model
Jamali, B., Bach, P. M., Cunningham, L., & Deletic, A. (2019). A cellular automata fast flood evaluation (CA‐ffé) model. Water Resources Research, 55(6), 4936-4953. https://doi.org/10.1029/2018WR023679 |
| Evaluating soil resistance formulations in thermal-based two-source energy balance (TSEB) model: implications for heterogeneous semiarid and arid regions
Li, Y., Kustas, W. P., Huang, C., Nieto, H., Haghighi, E., Anderson, M. C., … Scott, R. L. (2019). Evaluating soil resistance formulations in thermal-based two-source energy balance (TSEB) model: implications for heterogeneous semiarid and arid regions. Water Resources Research, 55(2), 1059-1078. https://doi.org/10.1029/2018WR022981 |
| Network topology and rainfall controls on the variability of combined sewer overflows and loads
McGrath, G., Kaeseberg, T., Reyes Silva, J. D., Jawitz, J. W., Blumensaat, F., Borchardt, D., … Rao, P. S. C. (2019). Network topology and rainfall controls on the variability of combined sewer overflows and loads. Water Resources Research, 55(11), 9578-9591. https://doi.org/10.1029/2019WR025336 |
| Integrating Bayesian groundwater mixing modeling with on‐site helium analysis to identify unknown water sources
Popp, A. L., Scheidegger, A., Moeck, C., Brennwald, M. S., & Kipfer, R. (2019). Integrating Bayesian groundwater mixing modeling with on‐site helium analysis to identify unknown water sources. Water Resources Research, 55, 10602-10615. https://doi.org/10.1029/2019WR025677 |
| Data assimilation and online parameter optimization in groundwater modeling using nested particle filters
Ramgraber, M., Albert, C., & Schirmer, M. (2019). Data assimilation and online parameter optimization in groundwater modeling using nested particle filters. Water Resources Research, 55, 9724-9747. https://doi.org/10.1029/2018WR024408 |
| Pore-scale hydrodynamics in a progressively bioclogged three-dimensional porous medium: 3-D particle tracking experiments and stochastic transport modeling
Carrel, M., Morales, V. L., Dentz, M., Derlon, N., Morgenroth, E., & Holzner, M. (2018). Pore-scale hydrodynamics in a progressively bioclogged three-dimensional porous medium: 3-D particle tracking experiments and stochastic transport modeling. Water Resources Research, 54(3), 2183-2198. https://doi.org/10.1002/2017WR021726 |
| 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 |
| Relating degradation of pharmaceutical active ingredients in a stream network to degradation in water-sediment simulation tests
Honti, M., Bischoff, F., Moser, A., Stamm, C., Baranya, S., & Fenner, K. (2018). Relating degradation of pharmaceutical active ingredients in a stream network to degradation in water-sediment simulation tests. Water Resources Research, 54(11), 9207-9223. https://doi.org/10.1029/2018WR023592 |
| Dispersion and mixing in three-dimensional discrete fracture networks: nonlinear interplay between structural and hydraulic heterogeneity
Hyman, J. D., & Jiménez-Martínez, J. (2018). Dispersion and mixing in three-dimensional discrete fracture networks: nonlinear interplay between structural and hydraulic heterogeneity. Water Resources Research, 54(5), 3243-3258. https://doi.org/10.1029/2018WR022585 |
| 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 |
| Characterizing the spatial correlation of daily streamflows
Betterle, A., Schirmer, M., & Botter, G. (2017). Characterizing the spatial correlation of daily streamflows. Water Resources Research, 53(2), 1646-1663. https://doi.org/10.1002/2016WR019195 |
| What do they have in common? Drivers of streamflow spatial correlation and prediction of flow regimes in ungauged locations
Betterle, A., Radny, D., Schirmer, M., & Botter, G. (2017). What do they have in common? Drivers of streamflow spatial correlation and prediction of flow regimes in ungauged locations. Water Resources Research, 53(12), 10354-10373. https://doi.org/10.1002/2017WR021144 |
| Increased sediment oxygen flux in lakes and reservoirs: the impact of hypolimnetic oxygenation
Bierlein, K. A., Rezvani, M., Socolofsky, S. A., Bryant, L. D., Wüest, A., & Little, J. C. (2017). Increased sediment oxygen flux in lakes and reservoirs: the impact of hypolimnetic oxygenation. Water Resources Research, 53(6), 4876-4890. https://doi.org/10.1002/2016WR019850 |
| High-resolution flow characterization close to the sediment-water interface in a run of the river reservoir
Brand, A., & Noss, C. (2017). High-resolution flow characterization close to the sediment-water interface in a run of the river reservoir. Water Resources Research, 53(5), 4286-4302. https://doi.org/10.1002/2016WR020203 |
| Comparing approaches to deal with non-Gaussianity of rainfall data in kriging-based radar-gauge rainfall merging
Cecinati, F., Wani, O., & Rico-Ramirez, M. A. (2017). Comparing approaches to deal with non-Gaussianity of rainfall data in kriging-based radar-gauge rainfall merging. Water Resources Research, 53(11), 8999-9018. https://doi.org/10.1002/2016WR020330 |
| Advancing physically-based flow simulations of alluvial systems through atmospheric noble gases and the novel 37Ar tracer method
Gerber, C., Schilling, O. S., Partington, D. J., Purtschert, R., Brennwald, M. S., Kipfer, R., … Brunner, P. (2017). Advancing physically-based flow simulations of alluvial systems through atmospheric noble gases and the novel 37Ar tracer method. Water Resources Research, 53(12), 10465-10490. https://doi.org/10.1002/2017WR020754 |
