Département Analyse des Systèmes, Evaluation Intégrée et Modélisation



Altieri, A., & Baity-Jesi, M. (2024). An introduction to the theory of spin glasses. In T. Chakraborty (Ed.), Reference module in materials science and materials engineering. Encyclopedia of condensed matter physics (pp. 361-370). doi:10.1016/B978-0-323-90800-9.00249-3, Institutional Repository
Baity-Jesi, M., Calore, E., Cruz, A., Fernández, L. A., Gil-Narvión, J. M., Pemartín, I. G. A., … Yllanes, D. (2024). Multifractality in spin glasses. Proceedings of the National Academy of Sciences of the United States of America PNAS, 121(2), e2312880120 (7 pp.). doi:10.1073/pnas.2312880120, Institutional Repository
Gasser, L., Schür, C., Perez-Cruz, F., Schirmer, K., & Baity-Jesi, M. (2024). Machine learning-based prediction of fish acute mortality: implementation, interpretation, and regulatory relevance. Environmental Science: Advances. doi:10.1039/d4va00072b, Institutional Repository
Gebert, F., Bollmann, K., Schuwirth, N., Duelli, P., Weber, D., & Obrist, M. K. (2024). Similar temporal patterns in insect richness, abundance and biomass across major habitat types. Insect Conservation and Diversity, 17(1), 139-154. doi:10.1111/icad.12700, Institutional Repository
Khaliq, I., Chollet Ramampiandra, E., Vorburger, C., Narwani, A., & Schuwirth, N. (2024). The effect of water temperature changes on biological water quality assessment. Ecological Indicators, 159, 111652 (10 pp.). doi:10.1016/j.ecolind.2024.111652, Institutional Repository
Kollmann, J., Nath, S., Singh, S., Balasubramanian, S., Scheidegger, A., & Contzen, N. (2024). Perceived distributive fairness and public acceptance of a policy mandating on-site wastewater treatment and reuse. Journal of Environmental Psychology, 96, 102292 (11 pp.). doi:10.1016/j.jenvp.2024.102292, Institutional Repository
Kosnik, M. B., Schuwirth, N., & Rico, A. (2024). Harnessing computational methods to characterize chemical impacts on biodiversity. Environmental Science and Technology Letters, 11(3), 185-194. doi:10.1021/acs.estlett.3c00865, Institutional Repository
Moor, H., Bergamini, A., Vorburger, C., Holderegger, R., Bühler, C., Bircher, N., & Schmidt, B. R. (2024). Building pondscapes for amphibian metapopulations. Conservation Biology, e14165 (16 pp.). doi:10.1111/cobi.14281, Institutional Repository
Muller, M. F., Rusca, M., Bertassello, L., Adams, E., Allaire, M., Cabello Villarejo, V., … Pokhrel, Y. (2024). Mapping the landscape of water and society research: promising combinations of compatible and complementary disciplines. Wiley Interdisciplinary Reviews: Water, 11(2), e1701 (18 pp.). doi:10.1002/wat2.1701, Institutional Repository
Muñoz, R., Vaghefi, S. A., Sharma, A., & Muccione, V. (2024). A framework for policy assessment using exploratory modeling and analysis: an application in flood control. Climate Risk Management, 45, 100635 (15 pp.). doi:10.1016/j.crm.2024.100635, Institutional Repository
Muñoz, R., Vaghefi, S. A., Drenkhan, F., Santos, M. J., Viviroli, D., Muccione, V., & Huggel, C. (2024). Assessing water management strategies in data-scarce mountain regions under uncertain climate and socio-economic changes. Water Resources Management. doi:10.1007/s11269-024-03853-5, Institutional Repository
Reichert, P., Ma, K., Höge, M., Fenicia, F., Baity-Jesi, M., Feng, D., & Shen, C. (2024). Metamorphic testing of machine learning and conceptual hydrologic models. Hydrology and Earth System Sciences, 28(11), 2505-2529. doi:10.5194/hess-28-2505-2024, Institutional Repository
Reichert, P., Ambord, I., von Wattenwyl, K., Schläppi, S., Pompini, M., Dönni, W., … Schuwirth, N. (2024). Priorisierung der Sanierung künstlicher Fischwanderhindernisse. Unterstützung bei der strategischen Planung der Revitalisierung von Fliessgewässern. Aqua & Gas, 104(3), 68-72. , Institutional Repository
Speir, S. L., Tank, J. L., Pastor, A., Muller, M. F., Mastepanov, M., & Riis, T. (2024). Catchment-scale thawing and greening decreases long-term nitrogen export in NE Greenland. Environmental Research Letters, 19(5), 054031 (13 pp.). doi:10.1088/1748-9326/ad3e8e, Institutional Repository


Aubert, A. H., Scheidegger, A., & Schmid, S. (2023). Gamified online surveys: Assessing experience with self-determination theory. PLoS One, 18(10), e0292096 (20 pp.). doi:10.1371/journal.pone.0292096, Institutional Repository
Bacci, M., Sukys, J., Reichert, P., Ulzega, S., & Albert, C. (2023). A comparison of numerical approaches for statistical inference with stochastic models. Stochastic Environmental Research and Risk Assessment, 37(8), 3041-3061. doi:10.1007/s00477-023-02434-z, Institutional Repository
Baity-Jesi, M., Calore, E., Cruz, A., Fernandez, L. A., Gil-Narvion, J. M., Gonzalez-Adalid Pemartin, I., … Yllanes, D. (2023). Memory and rejuvenation effects in spin glasses are governed by more than one length scale. Nature Physics, 19(7), 978-985. doi:10.1038/s41567-023-02014-6, Institutional Repository
Bertassello, L., Winters, P., & Müller, M. F. (2023). Access to global wheat reserves determines country-level vulnerability to conflict-induced Ukrainian wheat supply disruption. Nature Food, 4, 673-676. doi:10.1038/s43016-023-00806-w, Institutional Repository
Cai, S., Zuo, D., Wang, H., Xu, Z., Wang, G. Q., & Yang, H. (2023). Assessment of agricultural drought based on multi-source remote sensing data in a major grain producing area of Northwest China. Agricultural Water Management, 278, 108142 (16 pp.). doi:10.1016/j.agwat.2023.108142, Institutional Repository
Chollet Ramampiandra, E., Scheidegger, A., Wydler, J., & Schuwirth, N. (2023). A comparison of machine learning and statistical species distribution models: Quantifying overfitting supports model interpretation. Ecological Modelling, 481, 110353 (11 pp.). doi:10.1016/j.ecolmodel.2023.110353, Institutional Repository
Chow, R., Spycher, S., Scheidegger, R., Doppler, T., Dietzel, A., Fenicia, F., & Stamm, C. (2023). Methods comparison for detecting trends in herbicide monitoring time-series in streams. Science of the Total Environment, 891, 164226 (11 pp.). doi:10.1016/j.scitotenv.2023.164226, Institutional Repository
Chow, R., Curchod, L., Davies, E., Veludo, A. F., Oltramare, C., Dalvie, M. A., … Fuhrimann, S. (2023). Seasonal drivers and risks of aquatic pesticide pollution in drought and post-drought conditions in three Mediterranean watersheds. Science of the Total Environment, 858, 159784 (12 pp.). doi:10.1016/j.scitotenv.2022.159784, Institutional Repository
Dal Molin, M., Kavetski, D., Albert, C., & Fenicia, F. (2023). Exploring signature-based model calibration for streamflow prediction in ungauged basins. Water Resources Research, 59(7), e2022WR031929 (32 pp.). doi:10.1029/2022WR031929, Institutional Repository
Dziadosz, M., Rizzo, R., Kyathanahally, S. P., & Kreis, R. (2023). Denoising single MR spectra by deep learning: miracle or mirage?. Magnetic Resonance in Medicine, 90(5), 1749-1761. doi:10.1002/mrm.29762, Institutional Repository
Fabre, C., Doppler, T., Chow, R., Fenicia, F., Scheidegger, R., Dietzel, A., & Stamm, C. (2023). Challenges of spatially extrapolating aquatic pesticide pollution for policy evaluation. Science of the Total Environment, 875, 162639 (11 pp.). doi:10.1016/j.scitotenv.2023.162639, Institutional Repository
Francazi, E., Baity-Jesi, M., & Lucchi, A. (2023). A theoretical analysis of the learning dynamics under class imbalance. In A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato, & J. Scarlett (Eds.), Proceedings of machine learning research: Vol. 202. Proceedings of the 40th international conference on machine learning (pp. 10285-10322). sine loco: PMLR. , Institutional Repository
Gao, H., Fenicia, F., & Savenije, H. H. G. (2023). HESS opinions: are soils overrated in hydrology?. Hydrology and Earth System Sciences, 27(14), 2607-2620. doi:10.5194/hess-27-2607-2023, Institutional Repository
Gobatti, L., Bach, P. M., Scheidegger, A., & Leitão, J. P. (2023). Using satellite imagery to investigate Blue-Green Infrastructure establishment time for urban cooling. Sustainable Cities and Society, 97, 104768 (11 pp.). doi:10.1016/j.scs.2023.104768, Institutional Repository
Hafner, J., Fenner, K., & Scheidegger, A. (2023). Systematic handling of environmental fate data for model development - illustrated for the case of biodegradation half-life data. Environmental Science and Technology Letters, 10(10), 859-864. doi:10.1021/acs.estlett.3c00526, Institutional Repository
Han, Y., Zuo, D., Xu, Z., Wang, G., Peng, D., Pang, B., & Yang, H. (2023). Attributing the impacts of vegetation and climate changes on the spatial heterogeneity of terrestrial water storage over the Tibetan Plateau. Remote Sensing, 15(1), 117 (22 pp.). doi:10.3390/rs15010117, Institutional Repository
Hu, X., Zuo, D., Yan, B., Xu, Z., Wang, G., Peng, D., … Yang, H. (2023). Changes in rainfall and flood characteristics under nonstationarity in a mountain basin of Northwest China. Journal of Hydrologic Engineering, 28(5), 05023006 (9 pp.). doi:10.1061/JHYEFF.HEENG-5283, Institutional Repository
Höge, M., Kauzlaric, M., Siber, R., Schönenberger, U., Horton, P., Schwanbeck, J., … Fenicia, F. (2023). CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland. Earth System Science Data, 15(12), 5755-5784. doi:10.5194/essd-15-5755-2023, Institutional Repository
Lavender, E., Hunziker, Y., McLennan, D., Dermond, P., Stalder, D., Selz, O., & Brodersen, J. (2023). Sex‐ and length‐dependent variation in migratory propensity in brown trout. Ecology of Freshwater Fish, 23(1), e12745 (12 pp.). doi:10.1111/eff.12745, Institutional Repository
Li, Y., Chen, A., Mao, G., Chen, P., Huang, H., Yang, H., … Liu, J. (2023). Multi-model analysis of historical runoff changes in the Lancang-Mekong River Basin – Characteristics and uncertainties. Journal of Hydrology, 619, 129297 (12 pp.). doi:10.1016/j.jhydrol.2023.129297, Institutional Repository
McFadden, I. R., Sendek, A., Brosse, M., Bach, P. M., Baity‐Jesi, M., Bolliger, J., … Narwani, A. (2023). Linking human impacts to community processes in terrestrial and freshwater ecosystems. Ecology Letters, 26(2), 203-218. doi:10.1111/ele.14153, Institutional Repository
Moor, H., Holderegger, R., Bergamini, A., Schmidt, B., & Vorburger, C. (2023). Weiherbau stoppt Abwärtstrend bei Amphibien. Aqua Viva, 65(3), 8-11. , Institutional Repository
Ni, J., Bingler, J., Colesanti-Senni, C., Kraus, M., Gostlow, G., Schimanski, T., … Leippold, M. (2023). Chatreport: democratizing sustainability disclosure analysis through LLM-based tools. In Y. Feng & E. Lefever (Eds.), EMNLP 2023. Conference on empirical methods in natural language processing (pp. 21-51). Singapore: Association for Computational Linguistics (ACL). , Institutional Repository
Othman, S., Schulz, J., Baity-Jesi, M., & De Bacco, C. (2023). Modeling node exposure for community detection in networks. In H. Cherifi, R. N. Mantegna, L. M. Rocha, C. Cherifi, & S. Micciche (Eds.), Studies in computational intelligence: Vol. 1078. Complex networks and their applications XI. Proceedings of the eleventh international conference on complex networks and their applications: complex networks 2022 - volume 2 (pp. 233-244). doi:10.1007/978-3-031-21131-7_18, Institutional Repository
Paga, I., Zhai, Q., Baity-Jesi, M., Calore, E., Cruz, A., Cummings, C., … Yllanes, D. (2023). Superposition principle and nonlinear response in spin glasses. Physical Review B, 107(21), 214436 (21 pp.). doi:10.1103/PhysRevB.107.214436, Institutional Repository
Rizzo, R., Dziadosz, M., Kyathanahally, S.  P., Shamaei, A., & Kreis, R. (2023). Quantification of MR spectra by deep learning in an idealized setting: investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias. Magnetic Resonance in Medicine, 89(5), 1707-1727. doi:10.1002/mrm.29561, Institutional Repository
Schür, C., Gasser, L., Perez-Cruz, F., Schirmer, K., & Baity-Jesi, M. (2023). A benchmark dataset for machine learning in ecotoxicology. Scientific Data, 10(1), 718 (20 pp.). doi:10.1038/s41597-023-02612-2, Institutional Repository
Shen, C., Appling, A. P., Gentine, P., Bandai, T., Gupta, H., Tartakovsky, A., … Lawson, K. (2023). Differentiable modelling to unify machine learning and physical models for geosciences. Nature Reviews Earth & Environment, 4, 552-567. doi:10.1038/s43017-023-00450-9, Institutional Repository
Sriwastava, A., & Reichert, P. (2023). Reducing sample size requirements by extending discrete choice experiments to indifference elicitation. Journal of Choice Modelling, 48, 100426 (18 pp.). doi:10.1016/j.jocm.2023.100426, Institutional Repository
Ulzega, S., & Albert, C. (2023). Bayesian parameter inference in hydrological modelling using a Hamiltonian Monte Carlo approach with a stochastic rain model. Hydrology and Earth System Sciences, 27(15), 2935-2950. doi:10.5194/hess-27-2935-2023, Institutional Repository
Vaghefi, S. A., Stammbach, D., Muccione, V., Bingler, J., Ni, J., Kraus, M., … Leippold, M. (2023). ChatClimate: grounding conversational AI in climate science. Communications Earth & Environment, 4, 480 (13 pp.). doi:10.1038/s43247-023-01084-x, Institutional Repository
Zerouali, B., Santos, C. A. G., do Nascimento, T. V. M., & da Silva, R. M. (2023). A cloud-integrated GIS for forest cover loss and land use change monitoring using statistical methods and geospatial technology over northern Algeria. Journal of Environmental Management, 341, 118029 (17 pp.). doi:10.1016/j.jenvman.2023.118029, Institutional Repository


Qi, W., Feng, L., Liu, J., & Yang, H. (2022). Growing hydropower potential in China under 1.5 °C and 2.0 °C global warming and beyond. Environmental Research Letters, 17(11), 114049 (11 pp.). doi:10.1088/1748-9326/ac9c72, Institutional Repository
Zhang, X., Yang, H., Zhang, W., Fenicia, F., Peng, H., & Xu, G. (2022). Hydrologic impacts of cascading reservoirs in the middle and lower Hanjiang River basin under climate variability and land use change. Journal of Hydrology: Regional Studies, 44, 101253 (22 pp.). doi:10.1016/j.ejrh.2022.101253, Institutional Repository
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.). doi:10.1038/s41598-022-21910-0, Institutional Repository
Viswanathan, M., Scheidegger, A., Streck, T., Gayler, S., & Weber, T. K. D. (2022). Bayesian multi-level calibration of a process-based maize phenology model. Ecological Modelling, 474, 110154 (16 pp.). doi:10.1016/j.ecolmodel.2022.110154, Institutional Repository
Safin, A., Bouffard, D., Ozdemir, F., Ramón, C. L., Runnalls, J., Georgatos, F., … Šukys, J. (2022). A Bayesian data assimilation framework for lake 3D hydrodynamic models with a physics-preserving particle filtering method using SPUX-MITgcm v1. Geoscientific Model Development, 15(20), 7715-7730. doi:10.5194/gmd-15-7715-2022, Institutional Repository
Rizzo, R., Dziadosz, M., Kyathanahally, S. P., Reyes, M., & Kreis, R. (2022). Reliability of quantification estimates in MR spectroscopy: CNNs vs traditional model fitting. In L. Wang, Q. Dou, P. T. Fletcher, S. Speidel, & S. Li (Eds.), Lecture notes in computer science: Vol. 13438. Medical image computing and computer assisted intervention - MICCAI 2022. 25th international conference, Singapore, September 18-22, 2022, proceedings, part VIII (pp. 715-724). doi:10.1007/978-3-031-16452-1_68, Institutional Repository
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. doi:10.5194/hess-26-5085-2022, Institutional Repository
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.). doi:10.1073/pnas.2123070119, Institutional Repository
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. , Institutional Repository
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.). doi:10.1016/j.watres.2022.119119, Institutional Repository
Sendek, A., Baity-Jesi, M., Altermatt, F., Bader, M. K. F., Liebhold, A. M., Turner, R. M., … Brockerhoff, E. G. (2022). Fewer non-native insects in freshwater than in terrestrial habitats across continents. Diversity and Distributions, 28(11), 2303-2315. doi:10.1111/ddi.13622, Institutional Repository
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. doi:10.5194/hess-26-4187-2022, Institutional Repository
Ulzega, S., Albert, C., Perez-Cruz, F., Ozdemir, F., & Mira, A. (2022). Learning summary statistics for Bayesian inference with autoencoders. SciPost Physics Core, 5(3), 043 (16 pp.). doi:10.21468/SciPostPhysCore.5.3.043, Institutional Repository
Carbone, M. R., & Baity-Jesi, M. (2022). Competition between energy- and entropy-driven activation in glasses. Physical Review E, 106(2), 024603 (7 pp.). doi:10.1103/PhysRevE.106.024603, Institutional Repository
Vaghefi, S. A., Muccione, V., Neukom, R., Huggel, C., & Salzmann, N. (2022). Future trends in compound concurrent heat extremes in Swiss cities - an assessment considering deep uncertainty and climate adaptation options. Weather and Climate Extremes, 38, 100501 (18 pp.). doi:10.1016/j.wace.2022.100501, Institutional Repository
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.). doi:10.1073/pnas.2116413119, Institutional Repository
Zuo, D., Han, Y., Gao, X., Ma, G., Xu, Z., Bi, Y., … Yang, H. (2022). Identification of priority management areas for non-point source pollution based on critical source areas in an agricultural watershed of Northeast China. Environmental Research, 214, 113892 (9 pp.). doi:10.1016/j.envres.2022.113892, Institutional Repository
Schäfer Rodrigues Silva, A., Weber, T. K. D., Gayler, S., Guthke, A., Höge, M., Nowak, W., & Streck, T. (2022). Diagnosing similarities in probabilistic multi-model ensembles: an application to soil–plant-growth-modeling. Modeling Earth Systems and Environment, 8, 5143-5175. doi:10.1007/s40808-022-01427-1, Institutional Repository
Palamara, G. M., Dennis, S. R., Haenggi, C., Schuwirth, N., & Reichert, P. (2022). Investigating the effect of pesticides on Daphnia population dynamics by inferring structure and parameters of a stochastic model. Ecological Modelling, 472, 110076 (13 pp.). doi:10.1016/j.ecolmodel.2022.110076, Institutional Repository
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.). doi:10.1289/EHP10050, Institutional Repository
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.). doi:10.1016/j.jhydrol.2022.128057, Institutional Repository
Schuwirth, N., Brodersen, J., Caradima, B., & Scheidegger, A. (2022). Umwelteinflüsse auf häufige Fischgattungen. Auswertung von Fisch-Monitoring-Programmen. Aqua & Gas, 102(6), 66-71. , Institutional Repository
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. doi:10.1007/s00704-022-04086-5, Institutional Repository
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.). doi:10.1029/2021EF002567, Institutional Repository
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.). doi:10.1029/2021WR030619, Institutional Repository
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.). doi:10.1029/2021WR030705, Institutional Repository
Mariano, P. M., & Bacci, M. (2022). A discrete-to-continuum model of protein complexes. Biomechanics and Modeling in Mechanobiology, 21, 871-884. doi:10.1007/s10237-022-01564-7, Institutional Repository
Qi, W., Feng, L., Yang, H., & Liu, J. (2022). Increasing concurrent drought probability in global main crop production countries. Geophysical Research Letters, 49(6), e2021GL097060 (11 pp.). doi:10.1029/2021GL097060, Institutional Repository
Wu, J., D'Ambrosi, S., Ammann, L., Stadnicka-Michalak, J., Schirmer, K., & Baity-Jesi, M. (2022). Predicting chemical hazard across taxa through machine learning. Environment International, 163, 107184 (15 pp.). doi:10.1016/j.envint.2022.107184, Institutional Repository
Qi, W., Feng, L., Yang, H., Liu, J., Zheng, Y., Shi, H., … Chen, D. (2022). Economic growth dominates rising potential flood risk in the Yangtze River and benefits of raising dikes from 1991 to 2015. Environmental Research Letters, 17(3), 034046 (13 pp.). doi:10.1088/1748-9326/ac5561, Institutional Repository
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.). doi:10.1098/rsbl.2021.0513, Institutional Repository
Schulz-Zunkel, C., Seele-Dilbat, C., Anlanger, C., Baborowski, M., Bondar-Kunze, E., Brauns, M., … Dziock, F. (2022). Effective restoration measures in river-floodplain ecosystems: lessons learned from the 'Wilde Mulde' project. International Review of Hydrobiology, 107(1-2), 9-21. doi:10.1002/iroh.202102086, Institutional Repository
Pool, S., Francés, F., Garcia-Prats, A., Puertes, C., Pulido-Velazquez, M., Sanchis-Ibor, C., … Jiménez-Martínez, J. (2022). Impact of a transformation from flood to drip irrigation on groundwater recharge and nitrogen leaching under variable climatic conditions. Science of the Total Environment, 825, 153805 (11 pp.). doi:10.1016/j.scitotenv.2022.153805, Institutional Repository
Qi, W., Liu, J., Yang, H., Chen, D., & Feng, L. (2022). Assessments and corrections of GLDAS2.0 forcing data in four large transboundary rivers in the Tibetan Plateau and Northeast China. Earth and Space Science, 9(1), e2020EA001576 (17 pp.). doi:10.1029/2020EA001576, Institutional Repository
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.). doi:10.1029/2020WR028570, Institutional Repository
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.). doi:10.1016/j.jhydrol.2021.127286, Institutional Repository
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.). doi:10.1016/j.jhydrol.2021.127347, Institutional Repository
Qi, W., Feng, L., Yang, H., & Liu, J. (2022). Warming winter, drying spring and shifting hydrological regimes in Northeast China under climate change. Journal of Hydrology, 606, 127390 (14 pp.). doi:10.1016/j.jhydrol.2021.127390, Institutional Repository
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. doi:10.1111/ele.13955, Institutional Repository
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.). doi:10.1016/j.jhydrol.2021.127287, Institutional Repository
Adelisardou, F., Zhao, W., Chow, R., Mederly, P., Minkina, T., & Schou, J. S. (2022). Spatiotemporal change detection of carbon storage and sequestration in an arid ecosystem by integrating Google Earth Engine and InVEST (the Jiroft plain, Iran). International Journal of Environmental Science and Technology, 19, 5929-5944. doi:10.1007/s13762-021-03676-6, Institutional Repository


Abbaspour, K. C. (2021). The fallacy in the use of the "best-fit" solution in hydrologic modeling. Science of the Total Environment, 802, 149713 (2 pp.). doi:10.1016/j.scitotenv.2021.149713, Institutional Repository
Adelisardou, F., Jafari, H. R., Malekmohammadi, B., Minkina, T., Zhao, W., & Karbassi, A. (2021). Impacts of land use and land cover change on the interactions among multiple soil-dependent ecosystem services (case study: Jiroft plain, Iran). Environmental Geochemistry and Health, 43, 3977-3996. doi:10.1007/s10653-021-00875-5, Institutional Repository
Albert, C., Ferriz-Mas, A., Gaia, F., & Ulzega, S. (2021). Can stochastic resonance explain recurrence of Grand Minima?. Astrophysical Journal Letters, 916(2), L9 (5 pp.). doi:10.3847/2041-8213/ac0fd6, Institutional Repository
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.). doi:10.1029/2020WR028311, Institutional Repository
Ashraf Vaghefi, S., Muccione, V., van Ginkel, K. C. H., & Haasnoot, M. (2021). Using decision making under deep uncertainty (DMDU) approaches to support climate change adaptation of Swiss Ski Resorts. Environmental Science and Policy, 126, 65-78. doi:10.1016/j.envsci.2021.09.005, Institutional Repository
Bacci, M., & Mariano, P. M. (2021). Discrete-to-continuum description of protein dynamics: models and comparative simulations. Mechanics of Materials, 154, 103711 (13 pp.). doi:10.1016/j.mechmat.2020.103711, Institutional Repository
Baity-Jesi, M., Biroli, G., & Reichman, D. R. (2021). Revisiting the concept of activation in supercooled liquids. European Physical Journal E: Soft Matter and Biological Physics, 44(6), 77 (10 pp.). doi:10.1140/epje/s10189-021-00077-y, Institutional Repository
Baity-Jesi, M., Calore, E., Cruz, A., Fernandez, L. A., Gil-Narvion, J. M., Gonzalez-Adalid Pemartin, I., … Yllanes, D. (2021). Temperature chaos is present in off-equilibrium spin-glass dynamics. Communications Physics, 4(1), 74 (7 pp.). doi:10.1038/s42005-021-00565-9, Institutional Repository
Bouaziz, L. J. E., Fenicia, F., Thirel, G., De Boer-Euser, T., Buitink, J., Brauer, C. C., … Hrachowitz, M. (2021). Behind the scenes of streamflow model performance. Hydrology and Earth System Sciences, 25(2), 1069-1095. doi:10.5194/hess-25-1069-2021, Institutional Repository
Caradima, B., Scheidegger, A., Brodersen, J., & Schuwirth, N. (2021). Bridging mechanistic conceptual models and statistical species distribution models of riverine fish. Ecological Modelling, 457, 109680 (15 pp.). doi:10.1016/j.ecolmodel.2021.109680, Institutional Repository
Carles, L., Wullschleger, S., Joss, A., Eggen, R. I. L., Schirmer, K., Schuwirth, N., … Tlili, A. (2021). Impact of wastewater on the microbial diversity of periphyton and its tolerance to micropollutants in an engineered flow-through channel system. Water Research, 203, 117486 (14 pp.). doi:10.1016/j.watres.2021.117486, Institutional Repository
Chaparro Pedraza, P. C., Matthews, B., de Meester, L., & Dakos, V. (2021). Adaptive evolution can both prevent ecosystem collapse and delay ecosystem recovery. American Naturalist, 198(6), E186-E197. doi:10.1086/716929, Institutional Repository
Chaparro-Pedraza, P. C., & de Roos, A. M. (2021). Individual energy dynamics reveal nonlinear interaction of stressors threatening migratory fish populations. Functional Ecology, 35(3), 727-738. doi:10.1111/1365-2435.13751, Institutional Repository
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.). doi:10.1029/2020WR028476, Institutional Repository
Dal Molin, M., Kavetski, D., & Fenicia, F. (2021). SuperflexPy 1.3.0: an open-source Python framework for building, testing, and improving conceptual hydrological models. Geoscientific Model Development, 14(11), 7047-7072. doi:10.5194/gmd-14-7047-2021, Institutional Repository
Fenicia, F., & Kavetski, D. (2021). Behind every robust result is a robust method: perspectives from a case study and publication process in hydrological modelling. Hydrological Processes, 35(8), e14266 (9 pp.). doi:10.1002/hyp.14266, Institutional Repository
Fernandez-Cassi, X., Scheidegger, A., Bänziger, C., Cariti, F., Tuñas Corzon, A., Ganesanandamoorthy, P., … Kohn, T. (2021). Wastewater monitoring outperforms case numbers as a tool to track COVID-19 incidence dynamics when test positivity rates are high. Water Research, 200, 117252 (9 pp.). doi:10.1016/j.watres.2021.117252, Institutional Repository
Fu, Q., Scheidegger, A., Laczko, E., & Hollender, J. (2021). Metabolomic profiling and toxicokinetics modeling to assess the effects of the pharmaceutical diclofenac in the aquatic invertebrate Hyalella azteca. Environmental Science and Technology, 55(12), 7920-7929. doi:10.1021/acs.est.0c07887, Institutional Repository
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.). doi:10.1029/2020WR027948, Institutional Repository
Hong, S., Yang, H., Wang, H., & Cheng, T. (2021). Water and energy circulation characteristics and their impacts on water stress at the provincial level in China. Stochastic Environmental Research and Risk Assessment, 35, 147-164. doi:10.1007/s00477-019-01735-6, Institutional Repository
Jalali, J., Ahmadi, A., & Abbaspour, K. (2021). Runoff responses to human activities and climate change in an arid watershed of central Iran. Hydrological Sciences Journal, 66(16), 2280-2297. doi:10.1080/02626667.2021.1985724, Institutional Repository
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.). doi:10.1029/2020WR029143, Institutional Repository
Kordrostami, F., Attarod, P., Abbaspour, K. C., Ludwig, R., Etemad, V., Alilou, H., & Bozorg-Haddad, O. (2021). Identification of optimum afforestation areas considering sustainable management of natural resources, using geo-environmental criteria. Ecological Engineering, 168, 106259 (10 pp.). doi:10.1016/j.ecoleng.2021.106259, Institutional Repository
Kyathanahally, S. P., Hardeman, T., Merz, E., Bulas, T., Reyes, M., Isles, P., … Baity-Jesi, M. (2021). Deep learning classification of Lake Zooplankton. Frontiers in Microbiology, 12, 746297 (13 pp.). doi:10.3389/fmicb.2021.746297, Institutional Repository
Lee, J., Ju, F., Maile-Moskowitz, A., Beck, K., Maccagnan, A., McArdell, C. S., … Bürgmann, H. (2021). Unraveling the riverine antibiotic resistome: the downstream fate of anthropogenic inputs. Water Research, 197, 117050 (12 pp.). doi:10.1016/j.watres.2021.117050, Institutional Repository
Li, P., Zuo, D., Xu, Z., Zhang, R., Han, Y., Sun, W., … Yang, H. (2021). Dynamic changes of land use/cover and landscape pattern in a typical alpine river basin of the Qinghai-Tibet Plateau, China. Land Degradation and Development, 32(15), 4327-4339. doi:10.1002/ldr.4039, Institutional Repository
Li, S., Liu, Y., Yang, H., Yu, X., Zhang, Y., & Wang, C. (2021). Integrating ecosystem services modeling into effectiveness assessment of national protected areas in a typical arid region in China. Journal of Environmental Management, 297, 113408 (11 pp.). doi:10.1016/j.jenvman.2021.113408, Institutional Repository
Liu, X., Liu, W., Liu, L., Tang, Q., Liu, J., & Yang, H. (2021). Environmental flow requirements largely reshape global surface water scarcity assessment. Environmental Research Letters, 16(10), 104029 (12 pp.). doi:10.1088/1748-9326/ac27cb, Institutional Repository
Liu, X., Xu, Z., Yang, H., & Ashraf Vaghefi, S. (2021). Responses of the glacier mass balance to climate change in the Tibetan Plateau during 1975-2013. Journal of Geophysical Research D: Atmospheres, 126(7), e2019JD032132 (14 pp.). doi:10.1029/2019JD032132, Institutional Repository
Losapio, G., Schöb, C., Staniczenko, P. P. A., Carrara, F., Palamara, G. M., de Moraes, C. M., … Bascompte, J. (2021). Network motifs involving both competition and facilitation predict biodiversity in alpine plant communities. Proceedings of the National Academy of Sciences of the United States of America PNAS, 118(6), e2005759118 (6 pp.). doi:10.1073/pnas.2005759118, Institutional Repository
McDonnell, J. J., Gabrielli, C., Ameli, A., Ekanayake, J., Fenicia, F., Freer, J., … Woods, R. (2021). The Maimai M8 experimental catchment database: forty years of process-based research on steep, wet hillslopes. Hydrological Processes, 35(5), e14112 (8 pp.). doi:10.1002/hyp.14112, Institutional Repository
Meng, Y., Liu, J., Wang, Z., Mao, G., Wang, K., & Yang, H. (2021). Undermined co-benefits of hydropower and irrigation under climate change. Resources, Conservation and Recycling, 167, 105375 (11 pp.). doi:10.1016/j.resconrec.2020.105375, Institutional Repository
Merz, E., Kozakiewicz, T., Reyes, M., Ebi, C., Isles, P., Baity-Jesi, M., … Pomati, F. (2021). Underwater dual-magnification imaging for automated lake plankton monitoring. Water Research, 203, 117524 (12 pp.). doi:10.1016/j.watres.2021.117524, Institutional Repository
Paga, I., Zhai, Q., Baity-Jesi, M., Calore, E., Cruz, A., Fernandez, L. A., … Yllanes, D. (2021). Spin-glass dynamics in the presence of a magnetic field: Exploration of microscopic properties. Journal of Statistical Mechanics, 2021(3), 033301 (49 pp.). doi:10.1088/1742-5468/abdfca, Institutional Repository
Pool, S., Francés, F., Garcia‐Prats, A., Pulido‐Velazquez, M., Sanchis‐Ibor, C., Schirmer, M., … Jiménez‐Martínez, J. (2021). From flood to drip irrigation under climate change: impacts on evapotranspiration and groundwater recharge in the Mediterranean region of Valencia (Spain). Earth's Future, 9(5), e2020EF001859 (20 pp.). doi:10.1029/2020EF001859, Institutional Repository
Pool, S., & Seibert, J. (2021). Gauging ungauged catchments – Active learning for the timing of point discharge observations in combination with continuous water level measurements. Journal of Hydrology, 598, 126448 (15 pp.). doi:10.1016/j.jhydrol.2021.126448, Institutional Repository
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.). doi:10.1029/2021WR029677, Institutional Repository
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.). doi:10.1029/2020WR028362, Institutional Repository
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.). doi:10.1029/2020WR028338, Institutional Repository
Qi, W., Feng, L., Yang, H., & Liu, J. (2021). Spring and summer potential flood risk in Northeast China. Journal of Hydrology: Regional Studies, 38, 100951 (11 pp.). doi:10.1016/j.ejrh.2021.100951, Institutional Repository
Qi, W., Feng, L., Yang, H., Zhu, X., Liu, Y., & Liu, J. (2021). Weakening flood, intensifying hydrological drought severity and decreasing drought probability in Northeast China. Journal of Hydrology: Regional Studies, 38, 100941 (12 pp.). doi:10.1016/j.ejrh.2021.100941, Institutional Repository
Rehberger, K., Escher, B. I., Scheidegger, A., Werner, I., & Segner, H. (2021). Evaluation of an in vitro assay to screen for the immunotoxic potential of chemicals to fish. Scientific Reports, 11(1), 3167 (16 pp.). doi:10.1038/s41598-021-82711-5, Institutional Repository
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.). doi:10.1029/2020WR028400, Institutional Repository
Ren, D., Yang, Y., Hu, Y., & Yang, Y. (2021). Evaluating the potentials of cropping adjustment for groundwater conservation and food production in the piedmont region of the North China Plain. Stochastic Environmental Research and Risk Assessment, 35, 117-128. doi:10.1007/s00477-019-01713-y, Institutional Repository
Ren, D., Yang, H., Zhou, L., Yang, Y., Liu, W., Hao, X., & Pan, P. (2021). The Land-water-food-environment nexus in the context of China's soybean import. Advances in Water Resources, 151, 103892 (10 pp.). doi:10.1016/j.advwatres.2021.103892, Institutional Repository
Ren, D., Liu, W., Yang, H., Zhuo, L., Tong, Y., Liu, Y., … Zhou, L. (2021). Virtual nitrogen and phosphorus flow associated with interprovincial crop trade and its effect on grey water stress in China. Environmental Research Letters, 16(12), 124018 (14 pp.). doi:10.1088/1748-9326/ac3604, Institutional Repository
Ruane, A. C., Phillips, M., Müller, C., Elliott, J., Jägermeyr, J., Arneth, A., … Yang, H. (2021). Strong regional influence of climatic forcing datasets on global crop model ensembles. Agricultural and Forest Meteorology, 300, 108313 (18 pp.). doi:10.1016/j.agrformet.2020.108313, Institutional Repository
Saedi, F., Ahmadi, A., & Abbaspour, K. C. (2021). Optimal water allocation of the Zayandeh-Roud Reservoir in Iran based on inflow projection under climate change scenarios. Journal of Water and Climate Change, 12(5), 2068-2081. doi:10.2166/wcc.2021.219, Institutional Repository
Sendek, A., Kretz, L., van der Plas, F., Seele-Dilbat, C., Schulz-Zunkel, C., Vieweg, M., … Wirth, C. (2021). Topographical factors related to flooding frequency promote ecosystem multifunctionality of riparian floodplains. Ecological Indicators, 132, 108312 (11 pp.). doi:10.1016/j.ecolind.2021.108312, Institutional Repository
Spuhler, D., Scheidegger, A., & Maurer, M. (2021). Ex-ante quantification of nutrient, total solids, and water flows in sanitation systems. Journal of Environmental Management, 280, 111785 (17 pp.). doi:10.1016/j.jenvman.2020.111785, Institutional Repository
Strande, L., Englund, M., Andriessen, N., Carbajal, J. P., & Scheidegger, A. (2021). Estimating quantities and qualities (Q&Q) of faecal sludge at community to city‐wide scales. In K. Velkushanova, L. Strande, M. Ronteltap, T. Koottatep, D. Brdjanovic, & C. Buckley (Eds.), Methods for faecal sludge analysis (pp. 115-144). London: IWA Publishing. , Institutional Repository
Tayebzadeh Moghadam, N., Abbaspour, K. C., Malekmohammadi, B., Schirmer, M., & Yavari, A. R. (2021). Spatiotemporal modelling of water balance components in response to climate and landuse changes in a heterogeneous mountainous catchment. Water Resources Management, 35, 793-810. doi:10.1007/s11269-020-02735-w, Institutional Repository
Timoner, P., Fasel, M., Ashraf Vaghefi, S. S., Marle, P., Castella, E., Moser, F., & Lehmann, A. (2021). Impacts of climate change on aquatic insects in temperate alpine regions: complementary modeling approaches applied to Swiss rivers. Global Change Biology, 27(15), 3565-3581. doi:10.1111/gcb.15637, Institutional Repository
Vermeiren, P., Reichert, P., Graf, W., Leitner, P., Schmidt-Kloiber, A., & Schuwirth, N. (2021). Confronting existing knowledge on ecological preferences of stream macroinvertebrates with independent monitoring data using a Bayesian multi-species distribution model. Freshwater Science, 40(1), 202-220. doi:10.1086/713175, Institutional Repository
Ward, B. J., Andriessen, N., Tembo, J. M., Kabika, J., Grau, M., Scheidegger, A., … Strande, L. (2021). Predictive models using "cheap and easy" field measurements: can they fill a gap in planning, monitoring, and implementing fecal sludge management solutions?. Water Research, 196, 116997 (12 pp.). doi:10.1016/j.watres.2021.116997, Institutional Repository
Zhang, Z., Shi, M., Chen, K. Z., Yang, H., & Wang, S. (2021). Water scarcity will constrain the formation of a world-class megalopolis in North China. npj Urban Sustainability, 1, 13 (10 pp.). doi:10.1038/s42949-020-00012-8, Institutional Repository
Zhao, D., Liu, J., Yang, H., Sun, L., & Varis, O. (2021). Socioeconomic drivers of provincial-level changes in the blue and green water footprints in China. Resources, Conservation and Recycling, 175, 105834 (15 pp.). doi:10.1016/j.resconrec.2021.105834, Institutional Repository
Zuo, D., Han, Y., Xu, Z., Li, P., Ban, C., Sun, W., … Yang, H. (2021). Time-lag effects of climatic change and drought on vegetation dynamics in an alpine river basin of the Tibet Plateau, China. Journal of Hydrology, 600, 126532 (11 pp.). doi:10.1016/j.jhydrol.2021.126532, Institutional Repository


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.). doi:10.1016/j.jhydrol.2020.124812, Institutional Repository
Baracchini, T., Chu, P. Y., Šukys, J., Lieberherr, G., Wunderle, S., Wüest, A., & Bouffard, D. (2020). Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4. Geoscientific Model Development, 13(3), 1267-1284. doi:10.5194/gmd-13-1267-2020, Institutional Repository
Caradima, B., Reichert, P., & Schuwirth, N. (2020). Effects of site selection and taxonomic resolution on the inference of stream invertebrate responses to environmental conditions. Freshwater Science, 39(3), 415-432. doi:10.1086/709024, Institutional Repository
Carbone, M. R., Astuti, V., & Baity-Jesi, M. (2020). Effective traplike activated dynamics in a continuous landscape. Physical Review E, 101(5), 052304 (11 pp.). doi:10.1103/PhysRevE.101.052304, Institutional Repository
Chaparro-Pedraza, P. C., & de Roos, A. M. (2020). Density-dependent effects of mortality on the optimal body size to shift habitat: why smaller is better despite increased mortality risk. Evolution, International Journal of Organic Evolution, 74(5), 831-841. doi:10.1111/evo.13957, Institutional Repository
Chaparro-Pedraza, P. C., & de Roos, A. M. (2020). Ecological changes with minor effect initiate evolution to delayed regime shifts. Nature Ecology & Evolution, 4(3), 412-418. doi:10.1038/s41559-020-1110-0, Institutional Repository
Chen, H., Zeng, Z., Wu, J., Peng, L., Lakshmi, V., Yang, H., & Liu, J. (2020). Large uncertainty on forest area change in the early 21st century among widely used global land cover datasets. Remote Sensing, 12(21), 3502 (18 pp.). doi:10.3390/rs12213502, Institutional Repository
Cheng, T., Xu, Z., Yang, H., Hong, S., & Leitao, J. P. (2020). Analysis of effect of rainfall patterns on urban flood process by coupled hydrological and hydrodynamic modeling. Journal of Hydrologic Engineering, 25(1), 04019061 (14 pp.). doi:10.1061/(ASCE)HE.1943-5584.0001867, Institutional Repository
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.). doi:10.1016/j.wroa.2020.100064, Institutional Repository
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. doi:10.5194/hess-24-1319-2020, Institutional Repository
Englund, M., Carbajal, J. P., Ferré, A., Bassan, M., Hoai Vu, A. T., Nguyen, V. A., & Strande, L. (2020). Modelling quantities and qualities (Q&Q) of faecal sludge in Hanoi, Vietnam and Kampala, Uganda for improved management solutions. Journal of Environmental Management, 261, 110202 (13 pp.). doi:10.1016/j.jenvman.2020.110202, Institutional Repository
Franke, J. A., Müller, C., Elliott, J., Ruane, A. C., Jägermeyr, J., Snyder, A., … Moyer, E. J. (2020). The GGCMI Phase 2 emulators: global gridded crop model responses to changes in CO2, temperature, water, and nitrogen (version 1.0). Geoscientific Model Development, 13(9), 3995-4018. doi:10.5194/gmd-13-3995-2020, Institutional Repository
Franke, J. A., Müller, C., Elliott, J., Ruane, A. C., Jägermeyr, J., Balkovic, J., … Moyer, E. J. (2020). The GGCMI phase 2 experiment: global gridded crop model simulations under uniform changes in CO2, temperature, water, and nitrogen levels (protocol version 1.0). Geoscientific Model Development, 13(5), 2315-2336. doi:10.5194/gmd-13-2315-2020, Institutional Repository
Gold, M., Egger, J., Scheidegger, A., Zurbrügg, C., Bruno, D., Bonelli, M., … Mathys, A. (2020). Estimating black soldier fly larvae biowaste conversion performance by simulation of midgut digestion. Waste Management, 112, 40-51. doi:10.1016/j.wasman.2020.05.026, Institutional Repository
Hadengue, B., Scheidegger, A., Morgenroth, E., & Larsen, T. A. (2020). Modeling the water-energy nexus in households. Energy and Buildings, 225, 110262 (10 pp.). doi:10.1016/j.enbuild.2020.110262, Institutional Repository
Held, J., Lorimer, T., Pomati, F., Stoop, R., & Albert, C. (2020). Second-order phase transition in phytoplankton trait dynamics. Chaos: An Interdisciplinary Journal of Nonlinear Science, 30(5), 053109 (9 pp.). doi:10.1063/1.5141755, Institutional Repository
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. doi:10.5194/hess-24-4793-2020, Institutional Repository
Irving, K., Jähnig, S. C., & Kuemmerlen, M. (2020). Identifying and applying an optimum set of environmental variables in species distribution models. Inland Waters, 10(1), 11-28. doi:10.1080/20442041.2019.1653111, Institutional Repository
Jägermeyr, J., Robock, A., Elliott, J., Müller, C., Xia, L., Khabarov, N., … Rosenzweig, C. (2020). A regional nuclear conflict would compromise global food security. Proceedings of the National Academy of Sciences of the United States of America PNAS, 117(13), 7071-7081. doi:10.1073/pnas.1919049117, Institutional Repository
Lange, S., Volkholz, J., Geiger, T., Zhao, F., Vega, I., Veldkamp, T., … Frieler, K. (2020). Projecting exposure to extreme climate impact events across six event categories and three spatial scales. Earth's Future, 8(12), e2020EF001616 (22 pp.). doi:10.1029/2020EF001616, Institutional Repository
Li, P., Zuo, D., Xu, Z., Gao, X., Peng, D., Kan, G., … Yang, H. (2020). Impact of urbanization on variability of annual and flood season precipitation in a typical city of North China. Hydrology Research, 51(5), 1150-1169. doi:10.2166/nh.2020.176, Institutional Repository
Lienert, J., Andersson, J., Hofmann, D., Silva Pinto, F., & Kuller, M. (2020). Report on the co-design workshops in FANFAR to create a flood forecast and alert system for West Africa. sine loco: FANFAR Consortium. , Institutional Repository
Liu, W., Yang, H., Ciais, P., Kummu, M., & Hoekstra, A. Y. (2020). China's food supply sources under trade conflict with the United States and limited domestic land and water resources. Earth's Future, 8(3), e2020EF001482 (7 pp.). doi:10.1029/2020EF001482, Institutional Repository
Liu, J., Zhao, D., Mao, G., Cui, W., Chen, H., & Yang, H. (2020). Environmental sustainability of water footprint in mainland China. Geography and Sustainability, 1(1), 8-17. doi:10.1016/j.geosus.2020.02.002, Institutional Repository
Liu, W., Ciais, P., Liu, X., Yang, H., Hoekstra, A. Y., Tang, Q., … Cheng, L. (2020). Global phosphorus losses from croplands under future precipitation scenarios. Environmental Science and Technology, 54(22), 14761-14771. doi:10.1021/acs.est.0c03978, Institutional Repository
Minoli, S., Müller, C., Elliott, J., Ruane, A. C., Jägermeyr, J., Zabel, F., … Pugh, T. A. M. (2020). Global response patterns of major rainfed crops to adaptation by maintaining current growing periods and irrigation. Earth's Future, 7, 1464-1480. doi:10.1029/2018EF001130, Institutional Repository
Qi, W., Liu, J., Yang, H., Zhu, X., Tian, Y., Jiang, X., … Feng, L. (2020). Large uncertainties in runoff estimations of GLDAS versions 2.0 and 2.1 in China. Earth and Space Science, 7(1), e2019EA000829 (11 pp.). doi:10.1029/2019EA000829, Institutional Repository
Qi, W., Feng, L., Liu, J., & Yang, H. (2020). Snow as an important natural reservoir for runoff and soil moisture in Northeast China. Journal of Geophysical Research D: Atmospheres, 125(22), e2020JD033086 (15 pp.). doi:10.1029/2020JD033086, Institutional Repository
Reichert, P. (2020). Towards a comprehensive uncertainty assessment in environmental research and decision support. Water Science and Technology, 81(8), 1588-1596. doi:10.2166/wst.2020.032, Institutional Repository
Riaz, M., Kuemmerlen, M., Wittwer, C., Cocchiararo, B., Khaliq, I., Pfenninger, M., & Nowak, C. (2020). Combining environmental DNA and species distribution modeling to evaluate reintroduction success of a freshwater fish. Ecological Applications, 30(2), e02034 (11 pp.). doi:10.1002/eap.2034, Institutional Repository
Safin, A., Zweck, J., & Minkoff, S. E. (2020). A one-way coupled model for the vibration of tuning fork-based trace gas sensors driven by a thermoacoustic wave. Applied Physics B: Lasers and Optics, 126(2), 29 (10 pp.). doi:10.1007/s00340-020-7376-8, Institutional Repository
Schuwirth, N. (2020). Towards an integrated surface water quality assessment: aggregation over multiple pollutants and time. Water Research, 186, 116330 (11 pp.). doi:10.1016/j.watres.2020.116330, Institutional Repository
Spuhler, D., Scheidegger, A., & Maurer, M. (2020). Comparative analysis of sanitation systems for resource recovery: influence of configurations and single technology components. Water Research, 186, 116281 (18 pp.). doi:10.1016/j.watres.2020.116281, Institutional Repository
Vermeiren, P., Reichert, P., & Schuwirth, N. (2020). Integrating uncertain prior knowledge regarding ecological preferences into multi-species distribution models: effects of model complexity on predictive performance. Ecological Modelling, 420, 108956 (15 pp.). doi:10.1016/j.ecolmodel.2020.108956, Institutional Repository
Weigand, A. M., Michler-Kozma, D., Kuemmerlen, M., & Jourdan, J. (2020). Substantial differences in genetic diversity and spatial structuring among (cryptic) amphipod species in a mountainous river basin. Freshwater Biology, 65(9), 1641-1656. doi:10.1111/fwb.13529, Institutional Repository
Wielinski, J., Marafatto, F. F., Gogos, A., Scheidegger, A., Voegelin, A., Müller, C. R., … Kaegi, R. (2020). Synchrotron hard X-ray chemical imaging of trace element speciation in heterogeneous samples: development of criteria for uncertainty analysis. Journal of Analytical Atomic Spectrometry, 35, 567-579. doi:10.1039/C9JA00394K, Institutional Repository
Zarrineh, N., Abbaspour, K. C., & Holzkämper, A. (2020). Integrated assessment of climate change impacts on multiple ecosystem services in Western Switzerland. Science of the Total Environment, 708, 135212 (11 pp.). doi:10.1016/j.scitotenv.2019.135212, Institutional Repository
Zhai, Q., Paga, I., Baity-Jesi, M., Calore, E., Cruz, A., Fernandez, L. A., … Yllanes, D. (2020). Scaling law describes the spin-glass response in theory, experiments, and simulations. Physical Review Letters, 125(23), 237202 (6 pp.). doi:10.1103/PhysRevLett.125.237202, Institutional Repository
Zhou, L., Meng, Y., Vaghefi, S. A., Marras, P. A., Sui, C., Lu, C., & Abbaspour, K. C. (2020). Uncertainty-based metal budget assessment at the watershed scale: Implications for environmental management practices. Journal of Hydrology, 584, 124699 (12 pp.). doi:10.1016/j.jhydrol.2020.124699, Institutional Repository


Abbaspour, K. C., Vaghefi, S. A., Yang, H., & Srinivasan, R. (2019). Global soil, landuse, evapotranspiration, historical and future weather databases for SWAT applications. Scientific Data, 6(1), 263 (11 pp.). doi:10.1038/s41597-019-0282-4, Institutional Repository
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. doi:10.5194/hess-23-2147-2019, Institutional Repository
Baity-Jesi, M., Sagun, L., Geiger, M., Spigler, S., Ben Arous, G., Cammarota, C., … Biroli, G. (2019). Comparing dynamics: deep neural networks versus glassy systems. Journal of Statistical Mechanics, 2019(12), 124013 (15 pp.). doi:10.1088/1742-5468/ab3281, Institutional Repository
Blumensaat, F., Leitão, J. P., Ort, C., Rieckermann, J., Scheidegger, A., Vanrolleghem, P. A., & Villez, K. (2019). How urban storm- and wastewater management prepares for emerging opportunities and threats: digital transformation, ubiquitous sensing, new data sources, and beyond – a horizon scan. Environmental Science and Technology, 53(15), 8488-8498. doi:10.1021/acs.est.8b06481, Institutional Repository
Borgwardt, F., Robinson, L., Trauner, D., Teixeira, H., Nogueira, A. J. A., Lillebø, A. I., … Culhane, F. (2019). Exploring variability in environmental impact risk from human activities across aquatic ecosystems. Science of the Total Environment, 652, 1396-1408. doi:10.1016/j.scitotenv.2018.10.339, Institutional Repository
Caradima, B., Schuwirth, N., & Reichert, P. (2019). From individual to joint species distribution models: a comparison of model complexity and predictive performance. Journal of Biogeography, 46(10), 2260-2274. doi:10.1111/jbi.13668, Institutional Repository
Culhane, F., Teixeira, H., Nogueira, A. J. A., Borgwardt, F., Trauner, D., Lillebø, A., … Robinson, L. A. (2019). Risk to the supply of ecosystem services across aquatic ecosystems. Science of the Total Environment, 660, 611-621. doi:10.1016/j.scitotenv.2018.12.346, Institutional Repository
Disch, A., Scheidegger, A., Wani, O., & Rieckermann, J. (2019). Impact of different sources of precipitation data on urban rainfall-runoff predictions: a comparison of rain gauges, commercial microwave links and radar. In N. Peleg & P. Molnar (Eds.), Rainfall monitoring, modelling and forecasting in urban environments. Conference Proceedings UrbanRain18 (pp. 27-32). Zurich: ETH Zurich. , Institutional Repository
Folberth, C., Elliott, J., Müller, C., Balkovič, J., Chryssanthacopoulos, J., Izaurralde, R. C., … Wang, X. (2019). Parameterization-induced uncertainties and impacts of crop management harmonization in a global gridded crop model ensemble. PLoS One, 14(9), e0221862 (36 pp.). doi:10.1371/journal.pone.0221862, Institutional Repository
Haag, F. (2019). Advancing decision analysis methods for environmental management. Including stakeholder values in wastewater infrastructure planning and river assessment (Doctoral dissertation). doi:10.3929/ethz-b-000378014, Institutional Repository
Haag, F., Lienert, J., Schuwirth, N., & Reichert, P. (2019). Identifying non-additive multi-attribute value functions based on uncertain indifference statements. Omega: the international journal of management science, 85, 49-67. doi:10.1016/j.omega.2018.05.011, Institutional Repository
Haag, F., Reichert, P., Maurer, M., & Lienert, J. (2019). Integrating uncertainty of preferences and predictions in decision models: an application to regional wastewater planning. Journal of Environmental Management, 252, 109652 (16 pp.). doi:10.1016/j.jenvman.2019.109652, Institutional Repository
Hadengue, B., Scheidegger, A., Morgenroth, E., & Larsen, T. A. (2019). The waterhub modules: material and energy flow analysis of domestic hot water systems. In A. Haumer (Ed.), Linköping Electronic Conference Proceedings: Vol. 157. Proceedings of the 13th international modelica conference (pp. 639-646). doi:10.3384/ecp19157639, Institutional Repository
Kamali, B., Abbaspour, K. C., Wehrli, B., & Yang, H. (2019). A quantitative analysis of socio-economic determinants influencing crop drought vulnerability in Sub-Saharan Africa. Sustainability, 11(21), 6135 (18 pp.). doi:10.3390/su11216135, Institutional Repository
Kavetski, D. (2019). Parameter estimation and predictive uncertainty quantification in hydrological modelling. In Q. Duan, F. Pappenberger, A. Wood, H. L. Cloke, & J. C. Schaake (Eds.), Handbook of hydrometeorological ensemble forecasting (pp. 481-522). doi:10.1007/978-3-642-39925-1_25, Institutional Repository
Kenway, S. J., Scheidegger, R., & Bader, H. P. (2019). Dynamic simulation of showers to understand water-related energy in households. Energy and Buildings, 192, 45-62. doi:10.1016/j.enbuild.2019.03.008, Institutional Repository
Kuemmerlen, M., Reichert, P., Siber, R., & Schuwirth, N. (2019). Ecological assessment of river networks: from reach to catchment scale. Science of the Total Environment, 650, 1613-1627. doi:10.1016/j.scitotenv.2018.09.019, Institutional Repository
Küry, D., Stucki, P., Martinez, N., Roth, T., Schuwirth, N., Michel, C., & Schindler Wildhaber, Y. (2019). Vom IBCH zum IBCH_2019. Methoden-Update des Moduls "Makrozoobenthos Stufe F" im Modul-Stufen-Konzept. Aqua & Gas, 99(12), 47-54. , Institutional Repository
Lago, M., Boteler, B., Rouillard, J., Abhold, K., Jähnig, S. C., Iglesias-Campos, A., … Hugh, M. D. (2019). Introducing the H2020 AQUACROSS project: knowledge, assessment, and management for AQUAtic biodiversity and ecosystem services aCROSS EU policies. Science of the Total Environment, 652, 320-329. doi:10.1016/j.scitotenv.2018.10.076, Institutional Repository
Langhans, S. D., Domisch, S., Balbi, S., Delacámara, G., Hermoso, V., Kuemmerlen, M., … Jähnig, S. C. (2019). Combining eight research areas to foster the uptake of ecosystem‐based management in fresh waters. Aquatic Conservation, 29(7), 1161-1173. doi:10.1002/aqc.3012, Institutional Repository
Lehmann, A., Timoner, P., Fasel, M., Lacayo, M., Ashraf Vaghefi, S., & Abbaspour, K. C. (2019). SWATCH21: a project for linking eco-hydrologic processes and services to aquatic biodiversity at river and catchment levels. Ecohydrology and Hydrobiology, 19(2), 182-197. doi:10.1016/j.ecohyd.2019.01.003, Institutional Repository
Liu, X., Tang, Q., Liu, W., Veldkamp, T. I. E., Boulange, J., Liu, J., … Yang, H. (2019). A spatially explicit assessment of growing water stress in China from the past to the future. Earth's Future, 7(9), 1027-1043. doi:10.1029/2019EF001181, Institutional Repository
Liu, X., Liu, W., Yang, H., Tang, Q., Flörke, M., Masaki, Y., … Wada, Y. (2019). Multimodel assessments of human and climate impacts on mean annual streamflow in China. Hydrology and Earth System Sciences, 23(3), 1245-1261. doi:10.5194/hess-23-1245-2019, Institutional Repository
Liu, X., Xu, Z., Liu, W., & Liu, L. (2019). Responses of hydrological processes to climate change in the Yarlung Zangbo River basin. Hydrological Sciences Journal, 64(16), 2057-2067. doi:10.1080/02626667.2019.1662908, Institutional Repository
Liu, W., Antonelli, M., Kummu, M., Zhao, X., Wu, P., Liu, J., … Yang, H. (2019). Savings and losses of global water resources in food-related virtual water trade. Wiley Interdisciplinary Reviews: Water, 6(1), e1320 (16 pp.). doi:10.1002/wat2.1320, Institutional Repository
Liu, X., Tang, Q., Liu, W., Yang, H., Groisman, P., Leng, G., … Sun, S. (2019). The asymmetric impact of abundant preceding rainfall on heat stress in low latitudes. Environmental Research Letters, 14(4), 044010 (9 pp.). doi:10.1088/1748-9326/ab018a, Institutional Repository
Liu, J., Li, X., Yang, H., Han, G., Liu, J., Zheng, C., & Zheng, Y. (2019). The water-energy nexus of megacities extends beyond geographic boundaries: a case of Beijing. Environmental Engineering Science, 36(7), 778-788. doi:10.1089/ees.2018.0553, Institutional Repository
Liu, W., Yang, H., Tang, Q., & Liu, X. (2019). Understanding the water–food–energy nexus for supporting sustainable food production and conserving hydropower potential in China. Frontiers in Environmental Science, 7, 50 (10 pp.). doi:10.3389/fenvs.2019.00050, Institutional Repository
Mutzner, L., Mangold, S., Dicht, S., Bohren, C., Vermeirssen, E. L. M., Scheidegger, A., … Ort, C. (2019). Mikroverunreinigungen aus Siedlungen. Messungen in 20 Mischabwasserentlastungen mit Passivsammler. Aqua & Gas, 99(10), 28-35. , Institutional Repository
Mutzner, L., Vermeirssen, E. L. M., Mangold, S., Maurer, M., Scheidegger, A., Singer, H., … Ort, C. (2019). Passive samplers to quantify micropollutants in sewer overflows: accumulation behaviour and field validation for short pollution events. Water Research, 160, 350-360. doi:10.1016/j.watres.2019.04.012, Institutional Repository
Müller, C., Elliott, J., Kelly, D., Arneth, A., Balkovic, J., Ciais, P., … Yang, H. (2019). The Global Gridded Crop Model Intercomparison phase 1 simulation dataset. Scientific Data, 6(1), 50 (22 pp.). doi:10.1038/s41597-019-0023-8, Institutional Repository
Penn, R., Maurer, M., Michalec, F. G., Scheidegger, A., Zhou, J., & Holzner, M. (2019). Quantifying physical disintegration of faeces in sewers: stochastic model and flow reactor experiments. Water Research, 152, 159-170. doi:10.1016/j.watres.2018.12.037, Institutional Repository
Pennekamp, F., Iles, A. C., Garland, J., Brennan, G., Brose, U., Gaedke, U., … Petchey, O. L. (2019). The intrinsic predictability of ecological time series and its potential to guide forecasting. Ecological Monographs, 89(2), e01359 (17 pp.). doi:10.1002/ecm.1359, Institutional Repository
Peña-Haro, S., Lüthi, B., Carrel, M., Scheidegger, A., de Vitry, M. M., & Leitão, J. P. (2019). Es überschwemmt und keiner sieht zu?! Oberflächenabflussmessungen im urbanen Raum mittels Videomaterial von Überwachungskameras. Aqua & Gas, 99(5), 44-50. , Institutional Repository
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. doi:10.1029/2019WR025677, Institutional Repository
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. doi:10.1029/2018WR024408, Institutional Repository
Reichert, P., & Mieleitner, J. (2019). Lake models. In B. Fath (Ed.), Vol. 2. Encyclopedia of ecology. Reference module in earth systems and environmental sciences (pp. 116-128). doi:10.1016/B978-0-12-409548-9.11155-8, Institutional Repository
Reichert, P., Niederberger, K., Rey, P., Helg, U., & Haertel-Borer, S. (2019). The need for unconventional value aggregation techniques: experiences from eliciting stakeholder preferences in environmental management. EURO Journal on Decision Processes, 7(3-4), 197-219. doi:10.1007/s40070-019-00101-9, Institutional Repository
Schuwirth, N., Caradima, B., Schindler Wildhaber, Y., & Sarbach-Remund, N. (2019). Analyse schweizweiter Makrozoobenthosdaten. Erkenntnisse über anthropogene Einflüsse und Monitoring-Design. Aqua & Gas, 99(12), 55-61. , Institutional Repository
Schuwirth, N., Borgwardt, F., Domisch, S., Friedrichs, M., Kattwinkel, M., Kneis, D., … Vermeiren, P. (2019). How to make ecological models useful for environmental management. Ecological Modelling, 411, 108784 (14 pp.). doi:10.1016/j.ecolmodel.2019.108784, Institutional Repository
Teixeira, H., Lillebø, A. I., Culhane, F., Robinson, L., Trauner, D., Borgwardt, F., … Nogueira, A. J. A. (2019). Linking biodiversity to ecosystem services supply: patterns across aquatic ecosystems. Science of the Total Environment, 657, 517-534. doi:10.1016/j.scitotenv.2018.11.440, Institutional Repository
Vaghefi, S. A., Keykhai, M., Jahanbakhshi, F., Sheikholeslami, J., Ahmadi, A., Yang, H., & Abbaspour, K. C. (2019). The future of extreme climate in Iran. Scientific Reports, 9(1), 1464 (11 pp.). doi:10.1038/s41598-018-38071-8, Institutional Repository
Wani, O., Scheidegger, A., Cecinati, F., Espadas, G., & Rieckermann, J. (2019). Exploring a copula-based alternative to additive error models—for non-negative and autocorrelated time series in hydrology. Journal of Hydrology, 575, 1031-1040. doi:10.1016/j.jhydrol.2019.06.006, Institutional Repository
Zhang, X., Liu, J., Zhao, X., Yang, H., Deng, X., Jiang, X., & Li, Y. (2019). Linking physical water consumption with virtual water consumption: methodology, application and implications. Journal of Cleaner Production, 228, 1206-1217. doi:10.1016/j.jclepro.2019.04.297, Institutional Repository
Zhao, X., Jin, X. K., Guo, W., Zhang, C., Shan, Y. L., Du, M. X., … Li, Y. P. (2019). China's urban methane emissions from municipal wastewater treatment plant. Earth's Future, 480-490. doi:10.1029/2018EF001113, Institutional Repository
Zhou, L., Meng, Y., & Abbaspour, K. C. (2019). A new framework for multi-site stochastic rainfall generator based on empirical orthogonal function analysis and Hilbert-Huang transform. Journal of Hydrology, 575, 730-742. doi:10.1016/j.jhydrol.2019.05.047, Institutional Repository
Zhuo, L., Liu, Y., Yang, H., Hoekstra, A. Y., Liu, W., Cao, X., … Wu, P. (2019). Water for maize for pigs for pork: an analysis of inter-provincial trade in China. Water Research, 166, 115074 (15 pp.). doi:10.1016/j.watres.2019.115074, Institutional Repository
Zuo, D., Cai, S., Xu, Z., Peng, D., Kan, G., Sun, W., … Yang, H. (2019). Assessment of meteorological and agricultural droughts using in-situ observations and remote sensing data. Agricultural Water Management, 222, 125-138. doi:10.1016/j.agwat.2019.05.046, Institutional Repository


Abbaspour, K. C., Vaghefi, S. A., & Srinivasan, R. (2018). A guideline for successful calibration and uncertainty analysis for soil and water assessment: A review of papers from the 2016 international SWAT conference. Water, 10(1), 6 (18 pp.). doi:10.3390/w10010006, Institutional Repository
Blumensaat, F., Scheidegger, A., Ebi, C., Dicht, S., Schaltegger, F., Rüst, A., … Maurer, M. (2018). Digitalization meets reality - concept and experiences from long-term wireless data collection with 50+ sewer monitors. In G. Mannina (Ed.), Proceedings of 11th international conference on urban drainage modelling (pp. 360-363). sine loco: IWA. , Institutional Repository
Cudennec, C., Liu, J., Qi, J., Yang, H., Zheng, C., Gain, A. K., … Yillia, P. T. (2018). Epistemological dimensions of the water–energy–food nexus approach: reply to discussions of "Challenges in operationalizing the water–energy–food nexus". Hydrological Sciences Journal, 63(12), 1868-1871. doi:10.1080/02626667.2018.1545097, Institutional Repository
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. doi:10.1002/2017WR021616, Institutional Repository
Ingold, K., Moser, A., Metz, F., Herzog, L., Bader, H. P., Scheidegger, R., & Stamm, C. (2018). Misfit between physical affectedness and regulatory embeddedness: the case of drinking water supply along the Rhine River. Global Environmental Change, 48, 136-150. doi:10.1016/j.gloenvcha.2017.11.006, Institutional Repository
Irving, K., Kuemmerlen, M., Kiesel, J., Kakouei, K., Domisch, S., & Jähnig, S. C. (2018). Data descriptor: a high-resolution streamflow and hydrological metrics dataset for ecological modeling using a regression model. Scientific Data, 5, 180224 (14 pp.). doi:10.1038/sdata.2018.224, Institutional Repository
Jourdan, J., O'Hara, R. B., Bottarin, R., Huttunen, K. L., Kuemmerlen, M., Monteith, D., … Haase, P. (2018). Effects of changing climate on European stream invertebrate communities: a long-term data analysis. Science of the Total Environment, 621, 588-599. doi:10.1016/j.scitotenv.2017.11.242, Institutional Repository
Kamali, B. (2018). Application of a spatially explicit biophysical crop model to assess drought impacts on crop yield and crop-drought vulnerability in Sub-Saharan Africa (Doctoral dissertation). doi:10.3929/ethz-b-000263959, Institutional Repository
Kamali, B., Abbaspour, K. C., Wehrli, B., & Yang, H. (2018). Drought vulnerability assessment of maize in Sub-Saharan Africa: insights from physical and social perspectives. Global and Planetary Change, 162, 266-274. doi:10.1016/j.gloplacha.2018.01.011, Institutional Repository
Kamali, B., Abbaspour, K. C., Lehmann, A., Wehrli, B., & Yang, H. (2018). Spatial assessment of maize physical drought vulnerability in Sub-Saharan Africa: linking drought exposure with crop failure. Environmental Research Letters, 13(7), 074010 (13 pp.). doi:10.1088/1748-9326/aacb37, Institutional Repository
Kamali, B., Abbaspour, K. C., Lehmann, A., Wehrli, B., & Yang, H. (2018). Uncertainty-based auto-calibration for crop yield – the EPIC+ procedure for a case study in Sub-Saharan Africa. European Journal of Agronomy, 93, 57-72. doi:10.1016/j.eja.2017.10.012, Institutional Repository
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. doi:10.1002/2017WR020528, Institutional Repository
Känel, B., Michel, C., & Reichert, P. (2018). Methoden zur Untersuchung und Beurteilung der Fliessgewässer. Makrophyten - Stufe F (flächendeckend) und Stufe S (systembezogen). Entwurf zur Vernehmlassung. Umwelt-Vollzug. Bern: Bundesamt für Umwelt, BAFU. , Institutional Repository
Li, S., Yang, H., Lacayo, M., Liu, J., & Lei, G. (2018). Impacts of land-use and land-cover changes on water yield: a case study in Jing-Jin-Ji, China. Sustainability, 10(4), 960 (16 pp.). doi:10.3390/su10040960, Institutional Repository
Li, S., Yang, H., Liu, J., & Lei, G. (2018). Towards ecological-economic integrity in the Jing-Jin-Ji regional development in China. Water, 10(11), 1653 (18 pp.). doi:10.3390/w10111653, Institutional Repository
Liu, W., Yang, H., Folberth, C., Müller, C., Ciais, P., Abbaspour, K. C., & Schulin, R. (2018). Achieving high crop yields with low nitrogen emissions in global agricultural input intensification. Environmental Science and Technology, 52(23), 13782-13791. doi:10.1021/acs.est.8b03610, Institutional Repository
Liu, J., Zhao, X., Yang, H., Liu, Q., Xiao, H., & Cheng, G. (2018). Assessing China's "developing a water-saving society" policy at a river basin level: a structural decomposition analysis approach. Journal of Cleaner Production, 190, 799-808. doi:10.1016/j.jclepro.2018.04.194, Institutional Repository
Liu, W., Yang, H., Ciais, P., Stamm, C., Zhao, X., Williams, J. R., … Schulin, R. (2018). Integrative crop-soil-management modeling to assess global phosphorus losses from major crop cultivations. Global Biogeochemical Cycles, 32(7), 1074-1086. doi:10.1029/2017GB005849, Institutional Repository
Liu, W., Yang, H., Liu, Y., Kummu, M., Hoekstra, A. Y., Liu, J., & Schulin, R. (2018). Water resources conservation and nitrogen pollution reduction under global food trade and agricultural intensification. Science of the Total Environment, 633, 1591-1601. doi:10.1016/j.scitotenv.2018.03.306, Institutional Repository
Machac, D., Reichert, P., Rieckermann, J., Del Giudice, D., & Albert, C. (2018). Accelerating Bayesian inference in hydrological modeling with a mechanistic emulator. Environmental Modelling and Software, 109, 66-79. doi:10.1016/j.envsoft.2018.07.016, Institutional Repository
Marques Arsénio, A., Câmara Salim, I., Hu, M., Matsinhe, N. P., Scheidegger, R., & Rietveld, L. (2018). Mitigation potential of sanitation infrastructure on groundwater contamination by nitrate in Maputo. Sustainability, 10(3), 858 (18 pp.). doi:10.3390/su10030858, Institutional Repository
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. doi:10.5194/hess-22-4229-2018, Institutional Repository
Muñoz, C. C., & Vermeiren, P. (2018). Profiles of environmental contaminants in hawksbill turtle egg yolks reflect local to distant pollution sources among nesting beaches in the Yucatán Peninsula, Mexico. Marine Environmental Research, 135, 43-54. doi:10.1016/j.marenvres.2018.01.012, Institutional Repository
Müller, C., Elliott, J., Pugh, T. A. M., Ruane, A. C., Ciais, P., Balkovic, J., … Wang, X. (2018). Global patterns of crop yield stability under additional nutrient and water inputs. PLoS One, 13(6), e0198748 (14 pp.). doi:10.1371/journal.pone.0198748, Institutional Repository
Naghibi, S. A., Pourghasemi, H. R., & Abbaspour, K. (2018). A comparison between ten advanced and soft computing models for groundwater qanat potential assessment in Iran using R and GIS. Theoretical and Applied Climatology, 131(3-4), 967-984. doi:10.1007/s00704-016-2022-4, Institutional Repository
Ozdemir, A., & Leloglu, U. M. (2018). A fast and automated hydrologic calibration tool for SWAT. Water and Environment Journal, 33(4), 488-498. doi:10.1111/wej.12419, Institutional Repository
Park, C. E., Jeong, S. J., Joshi, M., Osborn, T. J., Ho, C. H., Piao, S., … Feng, S. (2018). Keeping global warming within 1.5 °C constrains emergence of aridification. Nature Climate Change, 8(1), 70-74. doi:10.1038/s41558-017-0034-4, Institutional Repository
Pennekamp, F., Pontarp, M., Tabi, A., Altermatt, F., Alther, R., Choffat, Y., … Petchey, O. L. (2018). Biodiversity increases and decreases ecosystem stability. Nature, 563(7729), 109-112. doi:10.1038/s41586-018-0627-8, Institutional Repository
Qi, W., Liu, J., Yang, H., & Sweetapple, C. (2018). An ensemble-based dynamic Bayesian averaging approach for discharge simulations using multiple global precipitation products and hydrological models. Journal of Hydrology, 558, 405-420. doi:10.1016/j.jhydrol.2018.01.026, Institutional Repository
Ren, M., Xu, Z., Pang, B., Liu, W., Liu, J., Du, L., & Wang, R. (2018). Assessment of satellite-derived precipitation products for the Beijing region. Remote Sensing, 10(12), 1914 (19 pp.). doi:10.3390/rs10121914, Institutional Repository
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. doi:10.1016/j.jhydrol.2017.12.011, Institutional Repository
Schleussner, C. F., Deryng, D., Müller, C., Elliott, J., Saeed, F., Folberth, C., … Rogelj, J. (2018). Crop productivity changes in 1.5 °C and 2 °C worlds under climate sensitivity uncertainty. Environmental Research Letters, 13(6), 064007 (8 pp.). doi:10.1088/1748-9326/aab63b, Institutional Repository
Schmeller, D. S., Weatherdon, L. V., Loyau, A., Bondeau, A., Brotons, L., Brummitt, N., … Regan, E. C. (2018). A suite of essential biodiversity variables for detecting critical biodiversity change. Biological Reviews, 93(1), 55-71. doi:10.1111/brv.12332, Institutional Repository
Schuwirth, N., Honti, M., Logar, I., & Stamm, C. (2018). Multi-criteria decision analysis for integrated water quality assessment and management support. Water Research X, 1, 100010 (11 pp.). doi:10.1016/j.wroa.2018.100010, Institutional Repository
Wartenburger, R., Seneviratne, S. I., Hirschi, M., Chang, J., Ciais, P., Deryng, D., … Zhou, T. (2018). Evapotranspiration simulations in ISIMIP2a - Evaluation of spatio-temporal characteristics with a comprehensive ensemble of independent datasets. Environmental Research Letters, 13(7), 075001 (20 pp.). doi:10.1088/1748-9326/aac4bb, Institutional Repository
Zarrineh, N., Abbaspour, K. C., van Griensven, A., Jeangros, B., & Holzkämper, A. (2018). Model-based evaluation of land management strategies with regard to multiple ecosystem services. Sustainability, 10(11), 3844 (21 pp.). doi:10.3390/su10113844, Institutional Repository
Zhao, X., Li, Y. P., Yang, H., Liu, W. F., Tillotson, M. R., Guan, D., … Wang, H. (2018). Measuring scarce water saving from interregional virtual water flows in China. Environmental Research Letters, 13(5), 054012 (9 pp.). doi:10.1088/1748-9326/aaba49, Institutional Repository
Šukys, J., Rasthofer, U., Wermelinger, F., Hadjidoukas, P., & Koumoutsakos, P. (2018). Multilevel control variates for uncertainty quantification in simulations of cloud cavitation. SIAM Journal on Scientific Computing, 40(5), B1361-B1390. doi:10.1137/17M1129684, Institutional Repository
Šukys, J., & Kattwinkel, M. (2018). SPUX: scalable particle Markov Chain Monte Carlo for uncertainty quantification in stochastic ecological models. In S. Bassini, M. Danelutto, P. Dazzi, G. R. Joubert, & F. Peters (Eds.), Advances in parallel computing: Vol. 32. Parallel computing is everywhere (pp. 159-168). doi:10.3233/978-1-61499-843-3-159, Institutional Repository


Antonelli, M., Tamea, S., & Yang, H. (2017). Intra-EU agricultural trade, virtual water flows and policy implications. Science of the Total Environment, 587-588, 439-448. doi:10.1016/j.scitotenv.2017.02.105, Institutional Repository
Antonelli, M., Laio, F., & Tamea, S. (2017). Water resources, food security and the role of virtual water trade in the MENA region. In M. Behnassi & K. McGlade (Eds.), Environmental change and human security in Africa and the Middle East (pp. 199-217). doi:10.1007/978-3-319-45648-5_11, Institutional Repository
Ashraf Vaghefi, S., Abbaspour, N., Kamali, B., & Abbaspour, K. C. (2017). A toolkit for climate change analysis and pattern recognition for extreme weather conditions – case study: California-Baja California Peninsula. Environmental Modelling and Software, 96, 181-198. doi:10.1016/j.envsoft.2017.06.033, Institutional Repository
Bader, H. P., & Scheidegger, R. (2017). MMFA (mathematical material flow analysis) framework. Dübendorf: Eawag; Bader and Scheidegger. , Institutional Repository
Boithias, L., Sauvage, S., Lenica, A., Roux, H., Abbaspour, K. C., Larnier, K., … Sánchez-Pérez, J. M. (2017). Simulating flash floods at hourly time-step using the SWAT model. Water, 9(12), 929 (25 pp.). doi:10.3390/w9120929, Institutional Repository
Carbajal, J. P., Leitão, J. P., Albert, C., & Rieckermann, J. (2017). Appraisal of data-driven and mechanistic emulators of nonlinear simulators: the case of hydrodynamic urban drainage models. Environmental Modelling and Software, 92, 17-27. doi:10.1016/j.envsoft.2017.02.006, Institutional Repository
Cuceloglu, G., Abbaspour, K. C., & Ozturk, I. (2017). Assessing the water-resources potential of Istanbul by using a soil and water assessment tool (SWAT) hydrological model. Water, 9(10), 814 (18 pp.). doi:10.3390/w9100814, Institutional Repository
Domisch, S., Portmann, F. T., Kuemmerlen, M., O'Hara, R. B., Johnson, R. K., Davy-Bowker, J., … Jähnig, S. C. (2017). Using streamflow observations to estimate the impact of hydrological regimes and anthropogenic water use on European stream macroinvertebrate occurrences. Ecohydrology, 10(8), e1895 (11 pp.). doi:10.1002/eco.1895, Institutional Repository
Faramarzi, M., Abbaspour, K. C., Adamowicz, W. L. (V. ), Lu, W., Fennell, J., Zehnder, A. J. B., & Goss, G. G. (2017). Uncertainty based assessment of dynamic freshwater scarcity in semi-arid watersheds of Alberta, Canada. Journal of Hydrology: Regional Studies, 9, 48-68. doi:10.1016/j.ejrh.2016.11.003, Institutional Repository
Gavish, Y., Marsh, C. J., Kuemmerlen, M., Stoll, S., Haase, P., & Kunin, W. E. (2017). Accounting for biotic interactions through alpha-diversity constraints in stacked species distribution models. Methods in Ecology and Evolution, 8(9), 1092-1102. doi:10.1111/2041-210X.12731, Institutional Repository
Ghasemizade, M., Baroni, G., Abbaspour, K., & Schirmer, M. (2017). Combined analysis of time-varying sensitivity and identifiability indices to diagnose the response of a complex environmental model. Environmental Modelling and Software, 88, 22-34. doi:10.1016/j.envsoft.2016.10.011, Institutional Repository
Held, J., Lorimer, T., Albert, C., & Stoop, R. (2017). Hebbian learning clustering with Rulkov neurons. In G. Mantica, R. Stoop, & S. Stramaglia (Eds.), Springer proceedings in physics: Vol. 191. Emergent complexity from nonlinearity, in physics, engineering and the life sciences (pp. 127-141). doi:10.1007/978-3-319-47810-4_11, Institutional Repository
Honti, M., Schuwirth, N., Rieckermann, J., & Stamm, C. (2017). Can integrative catchment management mitigate future water quality issues caused by climate change and socio-economic development?. Hydrology and Earth System Sciences, 21(3), 1593-1609. doi:10.5194/hess-21-1593-2017, Institutional Repository
Imani, S., Niksokhan, M. H., Jamshidi, S., & Abbaspour, K. C. (2017). Discharge permit market and farm management nexus: an approach for eutrophication control in small basins with low-income farmers. Environmental Monitoring and Assessment, 189(7), 346 (14 pp.). doi:10.1007/s10661-017-6066-4, Institutional Repository
Kamali, B., Abbaspour, K. C., & Yang, H. (2017). Assessing the uncertainty of multiple input datasets in the prediction of water resource components. Water, 9(9), 709 (16 pp.). doi:10.3390/w9090709, Institutional Repository
Kamali, B., Houshmand Kouchi, D., Yang, H., & Abbaspour, K. C. (2017). Multilevel drought hazard assessment under climate change scenarios in semi-arid regions-a case study of the Karkheh river basin in Iran. Water, 9(4), 241 (17 pp.). doi:10.3390/w9040241, Institutional Repository
Kattwinkel, M., & Reichert, P. (2017). Bayesian parameter inference for individual-based models using a Particle Markov Chain Monte Carlo method. Environmental Modelling and Software, 87, 110-119. doi:10.1016/j.envsoft.2016.11.001, Institutional Repository
Kouchi, D. H., Esmaili, K., Faridhosseini, A., Sanaeinejad, S. H., Khalili, D., & Abbaspour, K. C. (2017). Sensitivity of calibrated parameters and water resource estimates on different objective functions and optimization algorithms. Water, 9(6), 384 (16 pp.). doi:10.3390/w9060384, Institutional Repository
Lehmann, A., Guigoz, Y., Ray, N., Mancosu, E., Abbaspour, K. C., Rouholahnejad Freund, E., … Giuliani, G. (2017). A web platform for landuse, climate, demography, hydrology and beach erosion in the Black Sea catchment. Scientific Data, 4, 170087 (15 pp.). doi:10.1038/sdata.2017.87, Institutional Repository
Liu, J., Yang, H., Cudennec, C., Gain, A. K., Hoff, H., Lawford, R., … Zheng, C. (2017). Challenges in operationalizing the water–energy–food nexus. Hydrological Sciences Journal, 62(11), 1714-1720. doi:10.1080/02626667.2017.1353695, Institutional Repository
Liu, W. (2017). Modelling global water–food–environment–trade nexus in the context of agricultural intensification (Doctoral dissertation). doi:10.3929/ethz-b-000196019, Institutional Repository
Liu, W., Antonelli, M., Liu, X., & Yang, H. (2017). Towards improvement of grey water footprint assessment: with an illustration for global maize cultivation. Journal of Cleaner Production, 147, 1-9. doi:10.1016/j.jclepro.2017.01.072, Institutional Repository
Liu, J., Yang, H., Gosling, S. N., Kummu, M., Flörke, M., Pfister, S., … Oki, T. (2017). Water scarcity assessments in the past, present, and future. Earth's Future, 5(6), 545-559. doi:10.1002/2016EF000518, Institutional Repository
Lorimer, T., Held, J., & Stoop, R. (2017). Clustering: how much bias do we need?. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 375(2096), 20160293 (18 pp.). doi:10.1098/rsta.2016.0293, Institutional Repository
Michel, C., Schindler Wildhaber, Y., Leib, V., Remund, N., & Schuwirth, N. (2017). Überarbeitung des Makrozoobenthos-Index. Natürliche Einflussfaktoren, Ursache-Wirkungsanalyse und Diskussion des Spear-Index. Aqua & Gas, 97(4), 70-77. , Institutional Repository
Mondy, C. P., & Schuwirth, N. (2017). Integrating ecological theories and traits in process-based modeling of macroinvertebrate community dynamics in streams. Ecological Applications, 27(4), 1365-1377. doi:10.1002/eap.1530, Institutional Repository
Müller, C., Elliott, J., Chryssanthacopoulos, J., Arneth, A., Balkovic, J., Ciais, P., … Yang, H. (2017). Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications. Geoscientific Model Development, 10(4), 1403-1422. doi:10.5194/gmd-10-1403-2017, Institutional Repository
Ozdemir, A., Leloglu, U. M., & Abbaspour, K. C. (2017). Hierarchical approach to hydrological model calibration. Environmental Earth Sciences, 76(8), 318 (10 pp.). doi:10.1007/s12665-017-6560-6, Institutional Repository
Paillex, A., Schuwirth, N., Lorenz, A. W., Januschke, K., Peter, A., & Reichert, P. (2017). Integrating and extending ecological river assessment: concept and test with two restoration projects. Ecological Indicators, 72, 131-141. doi:10.1016/j.ecolind.2016.07.048, Institutional Repository
Paillex, A., Reichert, P., Lorenz, A. W., & Schuwirth, N. (2017). Mechanistic modelling for predicting the effects of restoration, invasion and pollution on benthic macroinvertebrate communities in rivers. Freshwater Biology, 62(6), 1083-1093. doi:10.1111/fwb.12927, Institutional Repository
Porwollik, V., Müller, C., Elliott, J., Chryssanthacopoulos, J., Iizumi, T., Ray, D. K., … Wu, X. (2017). Spatial and temporal uncertainty of crop yield aggregations. European Journal of Agronomy, 88, 10-21. doi:10.1016/j.eja.2016.08.006, Institutional Repository
Rouholahnejad Freund, E., Abbaspour, K. C., & Lehmann, A. (2017). Water resources of the Black Sea catchment under future climate and landuse change projections. Water, 9(8), 598 (18 pp.). doi:10.3390/w9080598, Institutional Repository
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. doi:10.1016/j.jhydrol.2016.12.035, Institutional Repository
Schoebitz, L., Bischoff, F., Lohri, C. R., Niwagaba, C. B., Siber, R., & Strande, L. (2017). GIS analysis and optimisation of faecal sludge logistics at city-wide scale in Kampala, Uganda. Sustainability, 9(2), 194 (16 pp.). doi:10.3390/su9020194, Institutional Repository
Stefanovic, J. O., Yang, H., Zhou, Y., Kamali, B., & Ogalleh, S. A. (2017). Adaption to climate change: a case study of two agricultural systems from Kenya. Climate and Development, 11(4), 319-337. doi:10.1080/17565529.2017.1411241, Institutional Repository