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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
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. https://doi.org/10.5194/gmd-13-1267-2020
Ecological changes with minor effect initiate evolution to delayed regime shifts
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. https://doi.org/10.1038/s41559-020-1110-0
Analysis of effect of rainfall patterns on urban flood process by coupled hydrological and hydrodynamic modeling
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.). https://doi.org/10.1061/(ASCE)HE.1943-5584.0001867
Understanding dominant controls on streamflow spatial variability to set up a semi-distributed hydrological model: the case study of the Thur catchment
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. https://doi.org/10.5194/hess-24-1319-2020
Modelling quantities and qualities (Q&Q) of faecal sludge in Hanoi, Vietnam and Kampala, Uganda for improved management solutions
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.). https://doi.org/10.1016/j.jenvman.2020.110202
A regional nuclear conflict would compromise global food security
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, 201919049 (11 pp.). https://doi.org/10.1073/pnas.1919049117
China's food supply sources under trade conflict with the United States and limited domestic land and water resources
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.). https://doi.org/10.1029/2020EF001482
Large uncertainties in runoff estimations of GLDAS versions 2.0 and 2.1 in China
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.). https://doi.org/10.1029/2019EA000829
Combining environmental DNA and species distribution modeling to evaluate reintroduction success of a freshwater fish
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.). https://doi.org/10.1002/eap.2034
A one-way coupled model for the vibration of tuning fork-based trace gas sensors driven by a thermoacoustic wave
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.). https://doi.org/10.1007/s00340-020-7376-8
Integrating uncertain prior knowledge regarding ecological preferences into multi-species distribution models: effects of model complexity on predictive performance
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.). https://doi.org/10.1016/j.ecolmodel.2020.108956
Synchrotron hard X-ray chemical imaging of trace element speciation in heterogeneous samples: development of criteria for uncertainty analysis
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. https://doi.org/10.1039/C9JA00394K
Integrated assessment of climate change impacts on multiple ecosystem services in Western Switzerland
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.). https://doi.org/10.1016/j.scitotenv.2019.135212
Uncertainty-based metal budget assessment at the watershed scale: Implications for environmental management practices
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.). https://doi.org/10.1016/j.jhydrol.2020.124699
Global soil, landuse, evapotranspiration, historical and future weather databases for SWAT applications
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.). https://doi.org/10.1038/s41597-019-0282-4
A likelihood framework for deterministic hydrological models and the importance of non-stationary autocorrelation
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. https://doi.org/10.5194/hess-23-2147-2019
Comparing dynamics: deep neural networks versus glassy systems
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.). https://doi.org/10.1088/1742-5468/ab3281
How urban storm- and wastewater management prepares for emerging opportunities and threats: digital transformation, ubiquitous sensing, new data sources, and beyond – a horizon scan
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. https://doi.org/10.1021/acs.est.8b06481
Exploring variability in environmental impact risk from human activities across aquatic ecosystems
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. https://doi.org/10.1016/j.scitotenv.2018.10.339
From individual to joint species distribution models: a comparison of model complexity and predictive performance
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. https://doi.org/10.1111/jbi.13668
 

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