Users & Partners#
Publications#
Scientific Applications#
Publication |
Doi |
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Pohl, F., Schrön, M., Rebmann, C., Samaniego, L., Zacharias, S., & Hildebrandt, A. (2026). From points to field scale: A decade of soil-moisture monitoring in a German deciduous forest (2014–2024). Geoscience Data Journal, 13(1), e70053. |
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Spohn, T. K., Walsh, E., Horan, K., O’Donoghue, J., Charnecki, T., Haslam, M., & Gallagher, S. (2026). A machine learning approach using autoencoders to perform quality control on meteorological data. Environmental Data Science, 5, e1. |
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Bonet, L., Thomas, F., Martínez-Gimeno, M. A., Tasa, M., Badal, E., Pérez-Pérez, J. G., & Werban, U. (2026). A user-friendly decision support tool for irrigation scheduling in smallholder olive orchards. Agricultural Water Management, 324, 110131. |
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Rozemeijer, J., Jordan, P., Hooijboer, A., Kronvang, B., Glendell, M., Hensley, R., Rinke, K., Stutter, M., Bieroza, M., Turner, R., Mellander, P. E., Thorburn, P., Cassidy, R., Appels, J., Ouwerkerk, K., & Rode, M. (2025). Best practice in high-frequency water quality monitoring for improved management and assessment; a novel decision workflow. Environmental Monitoring and Assessment, 197(4), 353. |
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Canzi, A., Freney, E., Grzegorczyk, P., Baray, J. L., Lacher, L., & Planche, C. (2025). Unraveling ice nucleating particle concentration variability: Insights into source emissions origin and parameterizations. Journal of Geophysical Research: Atmospheres, 130, e2024JD041258. |
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Schulz, K., Niemann, A., & Mietzel, T. (2025). A review on how machine learning can be beneficial for sensor data quality control and imputation in water resources management. Journal of Hydroinformatics, 27(8), 1275–1291. |
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Storebakken, B., Rottler, E., Warscher, M., & Strasser, U. (2025). Modelling of the seasonal snow cover dynamics for open and forested areas in the Berchtesgaden National Park (Germany) using the openAMUNDSEN mountain snow cover model. Hydrological Processes, 39(7), e70197. |
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Lasota, E., Houben, T., Polz, J., Schmidt, L., Glawion, L., Schäfer, D., Bumberger, J., & Chwala, C. (2025). Interpretable quality control of sparsely distributed environmental sensor networks using graph neural networks. Artificial Intelligence for the Earth Systems, 4, e240032. |
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Musolff, A., Tarasova, L., Rinke, K. and Ledesma, J. (2024), Forest Dieback Alters Nutrient Pathways in a Temperate Headwater Catchment. Hydrological Processes, 38: e15308. |
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Jechow, A., Bumberger, J., Palm, B., Remmler, P., Schreck, G., Ogashawara, I., Kiel, C., Kohnert, K., Grossart, H.-P., Singer, G. A., Nejstgaard, J. C., Wollrab, S., Berger, S. A., & Hölker, F. (2024). Characterizing and implementing the Hamamatsu C12880MA mini-spectrometer for near-surface reflectance measurements of inland waters. Sensors, 24(19), 6445. |
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Kristensen, N. M., Tedesco, P., Rabault, J., Aarnes, O. J., Sætra, Ø., & Breivik, Ø. (2024). NORA-Surge: A storm surge hindcast for the Norwegian Sea, the North Sea and the Barents Sea. Ocean Modelling, 191, 102406. # |
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Blandini, G., Avanzi, F., Gabellani, S., Ponziani, D., Stevenin, H., Ratto, S., Ferraris, L., & Viglione, A. (2023). A random forest approach to quality-checking automatic snow-depth sensor measurements. The Cryosphere, 17(12), 5317–5333. |
Data Infrastructures#
Publication |
Doi |
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Jones, A. S., & Horsburgh, J. S. (2025). Hydrologic information systems: An introductory overview. Environmental Modelling & Software, 185, 106308. |
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Bumberger, J., Abbrent, M., Brinckmann, N., Hemmen, J., Kunkel, R., Lorenz, C., Lünenschloss, P., Palm, B., Schnicke, T., Schulz, C., van der Schaaf, H., & Schäfer, D. (2025). Digital ecosystem for FAIR time series data management in environmental system science. SoftwareX, 29, 102038. |
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Horsburgh, J. S., Lippold, K., Slaugh, D. L., & Ramirez, M. (2025). HydroServer: A software stack supporting collection, communication, storage, management, and sharing of data from in situ environmental sensors. Environmental Modelling & Software, 193, 106637. |
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Zacharias, S., Loescher, H. W., Bogena, H., Kiese, R., Schrön, M., Attinger, S., Blume, T., Borchardt, D., Borg, E., Bumberger, J., Chwala, C., Dietrich, P., Fersch, B., Frenzel, M., Gaillardet, J., Groh, J., Hajnsek, I., Itzerott, S., Kunkel, R., Kunstmann, H., Kunz, M., Liebner, S., Mirtl, M., Montzka, C., Musolff, A., Pütz, T., Rebmann, C., Rinke, K., Rode, M., Sachs, T., Samaniego, L., Schmid, H. P., Vogel, H.-J., Weber, U., Wollschläger, U., & Vereecken, H. (2024). Fifteen years of integrated terrestrial environmental observatories (TERENO) in Germany: Functions, services, and lessons learned. Earth’s Future, 12, e2024EF004510. |
Citing SaQC#
If SaQC is advancing your research, please cite the software (ideally the exact version you used) and the reference paper:
Reference Paper#
Schmidt, L., Schäfer, D., Geller, J., Lünenschloss, P., Palm, B., Rinke, K., Rebmann, C., Rode, M., & Bumberger, J. (2023). System for automated Quality Control (SaQC) to enable traceable and reproducible data streams in environmental |