Journal Publications
- Blettner, N., Fencl, M., Bareš, V., Kunstmann, H., & Chwala, C. (2023). Transboundary rainfall estimation using commercial microwave links. Earth and Space Science, 10(8), e2023EA002869 (https://doi.org/10.1029/2023EA002869)
- El Hachem, A., Seidel, J., O’hara, T., Villalobos Herrera, R., Overeem, A., Uijlenhoet, R., … & De Vos, L. (2024). A guide to using three open-source quality control algorithms for rainfall data from personal weather stations. Hydrology and Earth System Sciences, 28(20), 4715-4731 (https://doi.org/10.5194/hess-28-4715-2024)
- Fencl M, Nebuloni R, C. M. Andersson J et al. Data formats and standards for opportunistic rainfall sensors [version 2; peer review: 2 approved]. Open Res Europe 2024, 3:169 (https://doi.org/10.12688/openreseurope.16068.2)
- Nielsen, J. M., van de Beek, C. Z. R., Thorndahl, S., Olsson, J., Andersen, C. B., Andersson, J. C. M., … & Nielsen, J. E. (2024). Merging weather radar data and opportunistic rainfall sensor data to enhance rainfall estimates. Atmospheric Research, 300, 107228 (https://doi.org/10.1016/j.atmosres.2024.107228)
- Øydvin, E., Graf, M., Chwala, C., Wolff, M. A., Kitterød, N. O., & Nilsen, V. (2024). A simple feedforward artificial neural network for high-temporal-resolution rain event detection using signal attenuation from commercial microwave links. Hydrology and Earth System Sciences, 28(23), 5163-5171 (https://doi.org/10.5194/hess-28-5163-2024)
- Øydvin, E., Gaban, R., Andersson, J., van de Beek, R., Wolff, M. A., Kitterød, N. O., … & Nilsen, V. (2024). Combining commercial microwave links and weather radar for classification of dry snow and rainfall. EGUsphere, 2024, 1-21 (https://doi.org/10.5194/egusphere-2024-2625)
- Fencl, M., Bareš, V., Ostrometzky, J., Messer, H., Winterrath, T., Priestley, A., & Chwala, C. (2025). A new initiative to facilitate the global collection of microwave link data and its use in hydrometeorology. Bulletin of the American Meteorological Society, 106(3), E438-E440 (https://doi.org/10.1175/BAMS-D-24-0346.1)
- Overeem, A., Leijnse, H., van der Schrier, G., van den Besselaar, E., Garcia-Marti, I., & de Vos, L. W. (2024). Merging with crowdsourced rain gauge data improves pan-European radar precipitation estimates. Hydrology and Earth System Sciences, 28(3), 649-668 (https://doi.org/10.5194/hess-28-649-2024)
- Andersson, J. C., Olsson, J., Van de Beek, R., & Hansryd, J. (2022). OpenMRG: Open data from Microwave links, Radar, and Gauges for rainfall quantification in Gothenburg, Sweden. Earth System Science Data, 14(12), 5411-5426 (https://doi.org/10.5194/essd-14-5411-2022)
- Ostrometzky, J., Rafalovich, G., Kagan, B., & Messer, H. (2023). Stand-alone, affordable IoT satellite terminals and their opportunistic use for rain monitoring. IEEE Internet of Things Magazine, 5(4), 100-105 (https://doi.org/10.1109/IOTM.001.2200166)
- Olsson, J., Horváth-Varga, L., Van de Beek, R., Graf, M., Overeem, A., Szaton, M., … & Todorović, A. (2025). How close are opportunistic rainfall observations to providing societal benefit?. Journal of Hydrometeorology, 26(11), 1585-1602 (https://doi.org/10.1175/JHM-D-25-0043.1)
