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Krüger, N., Külls, C., Bruggeman, A., Eliades, M., Christophi, C., Rigas, M., et al. (2020). Groundwater recharge estimates with soil isotope profiles–is there a bias on coarse-grained hillslopes? Copernicus Meetings.
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Krüger, N., Külls, C., Bruggeman, A., & Christofi, C. (2024). Groundwater recharge estimation in Mediterranean mountain environments by isotope profiles–Partitioning of macropore and matrix flow. Journal of Hydrology, 637, 131352.
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Krüger, N., & Külls, C. (2023). Modeling soil moisture variations for direct groundwater recharge estimation in the critical zone. Copernicus Meetings.
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Kisi, O., Melo, C. G. L. e., Fischer, L., Brandt, H., Heims, L., Loaec, A., et al. (2024). Comments on “Machine learning-based time series models for effective CO2 emission prediction in India” by Kumari and Singh, https://doi. org/10.1007/s11356-022–21723-8. Environmental Science and Pollution Research, , 1–4.
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Kisi, O., Liepelt, K., & Kulls, C. (2023). Discussion of “Improving Prediction Accuracy of Hydrologic Time Series by Least-Squares Support Vector Machine Using Decomposition Reconstruction and Swarm Intelligence”. Journal of Hydrologic Engineering, 28(4), 07023001.
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