| Correspondence between model structures and hydrological signatures: a large-sample case study using 508 Brazilian catchments
David, P. C., Chaffe, P. L. B., Chagas, V. B. P., Dal Molin, M., Oliveira, D. Y., Klein, A. H. F., & Fenicia, F. (2022). Correspondence between model structures and hydrological signatures: a large-sample case study using 508 Brazilian catchments. Water Resources Research, 58(3), e2021WR030619 (20 pp.). https://doi.org/10.1029/2021WR030619 |
| Global water scarcity assessment incorporating green water in crop production
Liu, W., Liu, X., Yang, H., Ciais, P., & Wada, Y. (2022). Global water scarcity assessment incorporating green water in crop production. Water Resources Research, 58(1), e2020WR028570 (19 pp.). https://doi.org/10.1029/2020WR028570 |
| An exploration of Bayesian identification of dominant hydrological mechanisms in ungauged catchments
Prieto, C., Le Vine, N., Kavetski, D., Fenicia, F., Scheidegger, A., & Vitolo, C. (2022). An exploration of Bayesian identification of dominant hydrological mechanisms in ungauged catchments. Water Resources Research, 58(3), e2021WR030705 (28 pp.). https://doi.org/10.1029/2021WR030705 |
| Flushing the lake littoral region: the interaction of differential cooling and mild winds
Ramón, C. L., Ulloa, H. N., Doda, T., & Bouffard, D. (2022). Flushing the lake littoral region: the interaction of differential cooling and mild winds. Water Resources Research, 58(3), e2021WR030943 (17 pp.). https://doi.org/10.1029/2021WR030943 |
| Quantifying the uncertainty of a conceptual herbicide transport model with time‐dependent, stochastic parameters
Ammann, L., Stamm, C., Fenicia, F., & Reichert, P. (2021). Quantifying the uncertainty of a conceptual herbicide transport model with time‐dependent, stochastic parameters. Water Resources Research, 57(8), e2020WR028311 (27 pp.). https://doi.org/10.1029/2020WR028311 |
| Lake modeling reveals management opportunities for improving water quality downstream of transboundary tropical dams
Calamita, E., Vanzo, D., Wehrli, B., & Schmid, M. (2021). Lake modeling reveals management opportunities for improving water quality downstream of transboundary tropical dams. Water Resources Research, 57(4), e2020WR027465 (20 pp.). https://doi.org/10.1029/2020WR027465 |
| How do fractures influence hyporheic exchange in sedimentary rock riverbeds?
Chow, R., Parker, B. L., Steelman, C. M., Thoms, A., & Nowak, W. (2021). How do fractures influence hyporheic exchange in sedimentary rock riverbeds? Water Resources Research, 57(7), e2020WR028476 (15 pp.). https://doi.org/10.1029/2020WR028476 |
| Primary and net ecosystem production in a large lake diagnosed from high‐resolution oxygen measurements
Fernández Castro, B., Chmiel, H. E., Minaudo, C., Krishna, S., Perolo, P., Rasconi, S., & Wüest, A. (2021). Primary and net ecosystem production in a large lake diagnosed from high‐resolution oxygen measurements. Water Resources Research, 57(5), e2020WR029283 (24 pp.). https://doi.org/10.1029/2020WR029283 |
| Understanding the information content in the hierarchy of model development decisions: learning from data
Gharari, S., Gupta, H. V., Clark, M. P., Hrachowitz, M., Fenicia, F., Matgen, P., & Savenije, H. H. G. (2021). Understanding the information content in the hierarchy of model development decisions: learning from data. Water Resources Research, 57(6), e2020WR027948 (35 pp.). https://doi.org/10.1029/2020WR027948 |
| Mimicry of a conceptual hydrological model (HBV): what's in a name?
Jansen, K. F., Teuling, A. J., Craig, J. R., Dal Molin, M., Knoben, W. J. M., Parajka, J., … Melsen, L. A. (2021). Mimicry of a conceptual hydrological model (HBV): what's in a name? Water Resources Research, 57(5), e2020WR029143 (31 pp.). https://doi.org/10.1029/2020WR029143 |
| Effects of transition to water‐efficient solutions on existing centralized sewer systems - an integrated biophysical modelling approach
Penn, R., & Maurer, M. (2021). Effects of transition to water‐efficient solutions on existing centralized sewer systems - an integrated biophysical modelling approach. Water Resources Research, 57(9), e2020WR027616 (19 pp.). https://doi.org/10.1029/2020WR027616 |
| Hydrological modeling of the effect of the transition from flood to drip irrigation on groundwater recharge using multi‐objective calibration
Pool, S., Francés, F., Garcia‐Prats, A., Puertes, C., Pulido‐Velazquez, M., Sanchis‐Ibor, C., … Jiménez‐Martínez, J. (2021). Hydrological modeling of the effect of the transition from flood to drip irrigation on groundwater recharge using multi‐objective calibration. Water Resources Research, 57(8), e2021WR029677 (19 pp.). https://doi.org/10.1029/2021WR029677 |
| Regionalization for ungauged catchments — Lessons learned from a comparative large-sample study
Pool, S., Vis, M., & Seibert, J. (2021). Regionalization for ungauged catchments — Lessons learned from a comparative large-sample study. Water Resources Research, 57(10), e2021WR030437 (25 pp.). https://doi.org/10.1029/2021WR030437 |
| A framework for untangling transient groundwater mixing and travel times
Popp, A. L., Pardo-Álvarez, Á., Schilling, O. S., Scheidegger, A., Musy, S., Peel, M., … Kipfer, R. (2021). A framework for untangling transient groundwater mixing and travel times. Water Resources Research, 57(4), e2020WR028362 (16 pp.). https://doi.org/10.1029/2020WR028362 |
| Identification of dominant hydrological mechanisms using Bayesian inference, multiple statistical hypothesis testing, and flexible models
Prieto, C., Kavetski, D., Le Vine, N., Álvarez, C., & Medina, R. (2021). Identification of dominant hydrological mechanisms using Bayesian inference, multiple statistical hypothesis testing, and flexible models. Water Resources Research, 57(8), e2020WR028338 (32 pp.). https://doi.org/10.1029/2020WR028338 |
| Hydrogeological uncertainty estimation with the analytic element method
Ramgraber, M., & Schirmer, M. (2021). Hydrogeological uncertainty estimation with the analytic element method. Water Resources Research, 57(6), e2020WR029509 (16 pp.). https://doi.org/10.1029/2020WR029509 |
| Non‐Gaussian parameter inference for hydrogeological models using Stein Variational Gradient Descent
Ramgraber, M., Weatherl, R., Blumensaat, F., & Schirmer, M. (2021). Non‐Gaussian parameter inference for hydrogeological models using Stein Variational Gradient Descent. Water Resources Research, 57(4), e2020WR029339 (21 pp.). https://doi.org/10.1029/2020WR029339 |
| Potential and challenges of investigating intrinsic uncertainty of hydrological models with stochastic, time‐dependent parameters
Reichert, P., Ammann, L., & Fenicia, F. (2021). Potential and challenges of investigating intrinsic uncertainty of hydrological models with stochastic, time‐dependent parameters. Water Resources Research, 57(3), e2020WR028400 (28 pp.). https://doi.org/10.1029/2020WR028400 |
| 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, 57(2), e2020WR028479 (24 pp.). https://doi.org/10.1029/2020WR028479 |
| Net ecosystem production of lakes estimated from hypolimnetic organic carbon sinks
Steinsberger, T., Wüest, A., & Müller, B. (2021). Net ecosystem production of lakes estimated from hypolimnetic organic carbon sinks. Water Resources Research, 57(5), e2020WR029473 (16 pp.). https://doi.org/10.1029/2020WR029473 |
