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■ OpenSense - COST Action CA20136


Journal Publications

  1. 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
  2. El Hachem, A., Seidel, J., O’Hara, T., Villalobos Herrera, R., Overeem, A., Uijlenhoet, R., … & de Vos, L. (2023). Overview and comparison of three quality control algorithms for rainfall data from personal weather stations. Hydrology and Earth System Sciences Discussions, 2023, 1-22, doi:10.5194/hess-2023-195
  3. 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 (
  4. 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, doi:10.1016/j.atmosres.2024.107228
  5. Overeem, A., Leijnse, H., van der Schrier, G., van den Besselaar, E., Garcia-Marti, I., & de Vos, L. W. (2023). Merging with crowdsourced rain gauge data improves pan-European radar precipitation estimates. Hydrology and Earth System Sciences Discussions, 2023, 1-29, doi:10.5194/hess-28-649-2024
  6. 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 Discussions, 2022, 1-26, doi:10.5194/essd-14-5411-2022
  7. Ostrometzky, J., Rafalovich, G., Kagan B., and Messer H. (2022) Stand-Alone, Affordable IoT Satellite Terminals and Their Opportunistic Use for Rain Monitoring. IEEE Internet of Things Magazine, vol. 5, no. 4, pp. 100-105, doi:10.1109/IOTM.001.2200166