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Investigating the effect of pesticides on Daphnia population dynamics by inferring structure and parameters of a stochastic model
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.). https://doi.org/10.1016/j.ecolmodel.2022.110076
Impact of a transformation from flood to drip irrigation on groundwater recharge and nitrogen leaching under variable climatic conditions
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.). https://doi.org/10.1016/j.scitotenv.2022.153805
An exploration of Bayesian identification of dominant hydrological mechanisms in ungauged catchments
Prieto, C., Le Vine, N., Kavetski, D., Fenicia, F., Scheidegger, A., & Vitolo, C. (2022). An exploration of Bayesian identification of dominant hydrological mechanisms in ungauged catchments. Water Resources Research, 58(3), e2021WR030705 (28 pp.). https://doi.org/10.1029/2021WR030705
Assessments and corrections of GLDAS2.0 forcing data in four large transboundary rivers in the Tibetan Plateau and Northeast China
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.). https://doi.org/10.1029/2020EA001576
Economic growth dominates rising potential flood risk in the Yangtze River and benefits of raising dikes from 1991 to 2015
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.). https://doi.org/10.1088/1748-9326/ac5561
Growing hydropower potential in China under 1.5 °C and 2.0 °C global warming and beyond
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.). https://doi.org/10.1088/1748-9326/ac9c72
Increasing concurrent drought probability in global main crop production countries
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.). https://doi.org/10.1029/2021GL097060
Warming winter, drying spring and shifting hydrological regimes in Northeast China under climate change
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.). https://doi.org/10.1016/j.jhydrol.2021.127390
Reliability of quantification estimates in MR spectroscopy: CNNs vs traditional model fitting
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). https://doi.org/10.1007/978-3-031-16452-1_68
A Bayesian data assimilation framework for lake 3D hydrodynamic models with a physics-preserving particle filtering method using SPUX-MITgcm v1
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. https://doi.org/10.5194/gmd-15-7715-2022
Effective restoration measures in river-floodplain ecosystems: lessons learned from the 'Wilde Mulde' project
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. https://doi.org/10.1002/iroh.202102086
Umwelteinflüsse auf häufige Fischgattungen. Auswertung von Fisch-Monitoring-Programmen
Schuwirth, N., Brodersen, J., Caradima, B., & Scheidegger, A. (2022). Umwelteinflüsse auf häufige Fischgattungen. Auswertung von Fisch-Monitoring-Programmen. Aqua & Gas, 102(6), 66-71.
Diagnosing similarities in probabilistic multi-model ensembles: an application to soil–plant-growth-modeling
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. https://doi.org/10.1007/s40808-022-01427-1
Fewer non-native insects in freshwater than in terrestrial habitats across continents
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. https://doi.org/10.1111/ddi.13622
Learning summary statistics for Bayesian inference with autoencoders
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.). https://doi.org/10.21468/SciPostPhysCore.5.3.043
Future trends in compound concurrent heat extremes in Swiss cities - an assessment considering deep uncertainty and climate adaptation options
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.). https://doi.org/10.1016/j.wace.2022.100501
Bayesian multi-level calibration of a process-based maize phenology model
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.). https://doi.org/10.1016/j.ecolmodel.2022.110154
Predicting chemical hazard across taxa through machine learning
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.). https://doi.org/10.1016/j.envint.2022.107184
Hydrologic impacts of cascading reservoirs in the middle and lower Hanjiang River basin under climate variability and land use change
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.). https://doi.org/10.1016/j.ejrh.2022.101253
Identification of priority management areas for non-point source pollution based on critical source areas in an agricultural watershed of Northeast China
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.). https://doi.org/10.1016/j.envres.2022.113892