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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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Krüger, N., Külls, C., & Kock, M. (2021). Groundwater recharge estimates combining soil isotope profiles and classical soil water monitoring techniques. In EGU General Assembly Conference Abstracts (21).
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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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Kisi, O., Heddam, S., Parmar, K. S., Yaseen, Z. M., & Kulls, C. (2024). Improved monthly streamflow prediction using integrated multivariate adaptive regression spline with K-means clustering: implementation of reanalyzed remote sensing data. Stochastic Environmental Research and Risk Assessment, 38(6), 2489–2519.
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Kisi, O., Azamathulla, H. M., Cevat, F., Kulls, C., Kuhdaragh, M., & Fuladipanah, M. (2024). Enhancing river flow predictions: Comparative analysis of machine learning approaches in modeling stage-discharge relationship. Results in Engineering, 22, 102017.
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