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Application of stochastic time dependent parameters to improve the characterization of uncertainty in conceptual hydrological models
Bacci, M., Dal Molin, M., Fenicia, F., Reichert, P., & Šukys, J. (2022). Application of stochastic time dependent parameters to improve the characterization of uncertainty in conceptual hydrological models. Journal of Hydrology, 612, 128057 (19 pp.). https://doi.org/10.1016/j.jhydrol.2022.128057
Competition between energy- and entropy-driven activation in glasses
Carbone, M. R., & Baity-Jesi, M. (2022). Competition between energy- and entropy-driven activation in glasses. Physical Review E, 106(2), 024603 (7 pp.). https://doi.org/10.1103/PhysRevE.106.024603
Wastewater microorganisms impact microbial diversity and important ecological functions of stream periphyton
Carles, L., Wullschleger, S., Joss, A., Eggen, R. I. L., Schirmer, K., Schuwirth, N., … Tlili, A. (2022). Wastewater microorganisms impact microbial diversity and important ecological functions of stream periphyton. Water Research, 225, 119119 (13 pp.). https://doi.org/10.1016/j.watres.2022.119119
The enrichment paradox in adaptive radiations: emergence of predators hinders diversification in resource rich environments
Chaparro‐Pedraza, P. C., Roth, G., & Seehausen, O. (2022). The enrichment paradox in adaptive radiations: emergence of predators hinders diversification in resource rich environments. Ecology Letters, 25(4), 802-813. https://doi.org/10.1111/ele.13955
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
Lumped geohydrological modelling for long-term predictions of groundwater storage and depletion
Ejaz, F., Wöhling, T., Höge, M., & Nowak, W. (2022). Lumped geohydrological modelling for long-term predictions of groundwater storage and depletion. Journal of Hydrology, 606, 127347 (22 pp.). https://doi.org/10.1016/j.jhydrol.2021.127347
Modeling streamflow variability at the regional scale: (1) perceptual model development through signature analysis
Fenicia, F., & McDonnell, J. J. (2022). Modeling streamflow variability at the regional scale: (1) perceptual model development through signature analysis. Journal of Hydrology, 605, 127287 (18 pp.). https://doi.org/10.1016/j.jhydrol.2021.127287
Modeling streamflow variability at the regional scale: (2) development of a bespoke distributed conceptual model
Fenicia, F., Meißner, D., & McDonnell, J. J. (2022). Modeling streamflow variability at the regional scale: (2) development of a bespoke distributed conceptual model. Journal of Hydrology, 605, 127286 (18 pp.). https://doi.org/10.1016/j.jhydrol.2021.127286
Frozen soil hydrological modeling for a mountainous catchment northeast of the Qinghai-Tibet Plateau
Gao, H., Han, C., Chen, R., Feng, Z., Wang, K., Fenicia, F., & Savenije, H. (2022). Frozen soil hydrological modeling for a mountainous catchment northeast of the Qinghai-Tibet Plateau. Hydrology and Earth System Sciences, 26(15), 4187-4208. https://doi.org/10.5194/hess-26-4187-2022
Recent trends in stream macroinvertebrates: warm-adapted and pesticide-tolerant taxa increase in richness
Gebert, F., Obrist, M. K., Siber, R., Altermatt, F., Bollmann, K., & Schuwirth, N. (2022). Recent trends in stream macroinvertebrates: warm-adapted and pesticide-tolerant taxa increase in richness. Biology Letters, 18(3), 20210513 (7 pp.). https://doi.org/10.1098/rsbl.2021.0513
Zeitliche Trends von Makroinvertebraten. Kantonale und nationale Monitoringdaten im Vergleich
Gebert, F., Bollmann, K., Siber, R., & Schuwirth, N. (2022). Zeitliche Trends von Makroinvertebraten. Kantonale und nationale Monitoringdaten im Vergleich. Aqua & Gas, 102(10), 76-82.
Regime shifts, trends, and variability of lake productivity at a global scale
Gilarranz, L. J., Narwani, A., Odermatt, D., Siber, R., & Dakos, V. (2022). Regime shifts, trends, and variability of lake productivity at a global scale. Proceedings of the National Academy of Sciences of the United States of America PNAS, 119(35), e2116413119 (6 pp.). https://doi.org/10.1073/pnas.2116413119
Wastewater-based estimation of the effective reproductive number of SARS-CoV-2
Huisman, J. S., Scire, J., Caduff, L., Fernandez-Cassi, X., Ganesanandamoorthy, P., Kull, A., … Julian, T. R. (2022). Wastewater-based estimation of the effective reproductive number of SARS-CoV-2. Environmental Health Perspectives, 130(5), 057011 (12 pp.). https://doi.org/10.1289/EHP10050
Improving hydrologic models for predictions and process understanding using neural ODEs
Höge, M., Scheidegger, A., Baity-Jesi, M., Albert, C., & Fenicia, F. (2022). Improving hydrologic models for predictions and process understanding using neural ODEs. Hydrology and Earth System Sciences, 26(19), 5085-5102. https://doi.org/10.5194/hess-26-5085-2022
Ensembles of data-efficient vision transformers as a new paradigm for automated classification in ecology
Kyathanahally, S. P., Hardeman, T., Reyes, M., Merz, E., Bulas, T., Brun, P., … Baity-Jesi, M. (2022). Ensembles of data-efficient vision transformers as a new paradigm for automated classification in ecology. Scientific Reports, 12, 18590 (11 pp.). https://doi.org/10.1038/s41598-022-21910-0
Global agricultural water scarcity assessment incorporating blue and green water availability under future climate change
Liu, X., Liu, W., Tang, Q., Liu, B., Wada, Y., & Yang, H. (2022). Global agricultural water scarcity assessment incorporating blue and green water availability under future climate change. Earth's Future, 10(4), e2021EF002567 (16 pp.). https://doi.org/10.1029/2021EF002567
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
Uncertainties in assessing climate change impacts and adaptation options with wheat crop models
Luo, Q., Hoogenboom, G., & Yang, H. (2022). Uncertainties in assessing climate change impacts and adaptation options with wheat crop models. Theoretical and Applied Climatology, 149, 805-816. https://doi.org/10.1007/s00704-022-04086-5
A discrete-to-continuum model of protein complexes
Mariano, P. M., & Bacci, M. (2022). A discrete-to-continuum model of protein complexes. Biomechanics and Modeling in Mechanobiology, 21, 871-884. https://doi.org/10.1007/s10237-022-01564-7
Bending the curve: simple but massive conservation action leads to landscape-scale recovery of amphibians
Moor, H., Bergamini, A., Vorburger, C., Holderegger, R., Bühler, C., Egger, S., & Schmidt, B. R. (2022). Bending the curve: simple but massive conservation action leads to landscape-scale recovery of amphibians. Proceedings of the National Academy of Sciences of the United States of America PNAS, 119(42), e2123070119 (8 pp.). https://doi.org/10.1073/pnas.2123070119