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The fallacy in the use of the "best-fit" solution in hydrologic modeling
Abbaspour, K. C. (2021). The fallacy in the use of the "best-fit" solution in hydrologic modeling. Science of the Total Environment, 149713. https://doi.org/10.1016/j.scitotenv.2021.149713
Identification of optimum afforestation areas considering sustainable management of natural resources, using geo-environmental criteria
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.). https://doi.org/10.1016/j.ecoleng.2021.106259
Spatiotemporal modelling of water balance components in response to climate and landuse changes in a heterogeneous mountainous catchment
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. https://doi.org/10.1007/s11269-020-02735-w
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 quantitative analysis of socio-economic determinants influencing crop drought vulnerability in Sub-Saharan Africa
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.). https://doi.org/10.3390/su11216135
SWATCH21: a project for linking eco-hydrologic processes and services to aquatic biodiversity at river and catchment levels
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. https://doi.org/10.1016/j.ecohyd.2019.01.003
The future of extreme climate in Iran
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.). https://doi.org/10.1038/s41598-018-38071-8
A new framework for multi-site stochastic rainfall generator based on empirical orthogonal function analysis and Hilbert-Huang transform
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. https://doi.org/10.1016/j.jhydrol.2019.05.047
A guideline for successful calibration and uncertainty analysis for soil and water assessment: A review of papers from the 2016 international SWAT conference
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.). https://doi.org/10.3390/w10010006
Application of a spatially explicit biophysical crop model to assess drought impacts on crop yield and crop-drought vulnerability in Sub-Saharan Africa
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, ETH Zurich]. https://doi.org/10.3929/ethz-b-000263959
Drought vulnerability assessment of maize in Sub-Saharan Africa: insights from physical and social perspectives
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. https://doi.org/10.1016/j.gloplacha.2018.01.011
Spatial assessment of maize physical drought vulnerability in Sub-Saharan Africa: linking drought exposure with crop failure
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.). https://doi.org/10.1088/1748-9326/aacb37
Uncertainty-based auto-calibration for crop yield – the EPIC<sup>+</sup> procedure for a case study in Sub-Saharan Africa
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. https://doi.org/10.1016/j.eja.2017.10.012
Achieving high crop yields with low nitrogen emissions in global agricultural input intensification
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. https://doi.org/10.1021/acs.est.8b03610
Integrative crop-soil-management modeling to assess global phosphorus losses from major crop cultivations
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. https://doi.org/10.1029/2017GB005849
A comparison between ten advanced and soft computing models for groundwater qanat potential assessment in Iran using R and GIS
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. https://doi.org/10.1007/s00704-016-2022-4
Model-based evaluation of land management strategies with regard to multiple ecosystem services
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.). https://doi.org/10.3390/su10113844
A toolkit for climate change analysis and pattern recognition for extreme weather conditions – case study: California-Baja California Peninsula
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. https://doi.org/10.1016/j.envsoft.2017.06.033
 

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