Articles | Volume 29, issue 20
https://doi.org/10.5194/hess-29-5405-2025
https://doi.org/10.5194/hess-29-5405-2025
Research article
 | 
21 Oct 2025
Research article |  | 21 Oct 2025

Can we reliably estimate precipitation with high resolution during disastrously large floods?

Jan Szturc, Anna Jurczyk, Katarzyna Ośródka, Agnieszka Kurcz, Magdalena Szaton, Mariusz Figurski, and Robert Pyrc

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Cited articles

Afzali Gorooh, V., Shearer, E. J., Nguyen, P., Hsu, K., Sorooshian, S., Cannon, F., and Ralph, M.: Performance of new near-real-time PERSIANN product (PDIR-Now) for Atmospheric River Events over the Russian River Basin, California, J. Hydrometeorol., 23, 1899–1911, https://doi.org/10.1175/JHM-D-22-0066.1, 2022. 
Berthomier, L. and Perier, L.: Espresso: A global deep learning model to estimate precipitation from satellite observations, Meteorology, 2, 421–444, https://doi.org/10.3390/meteorology2040025, 2023. 
Bissolli, P., Friedrich, K., Rapp, J., and Ziese, M.: Flooding in eastern central Europe in May 2010 – reasons, evolution and climatological assessment, Weather, 66, 147–153, https://doi.org/10.1002/wea.759, 2011. 
Bližňák, V., Kašpar, M., Müller, M., and Zacharov, P.: Sub-daily temporal reconstruction of extreme precipitation events using NWP model simulations, Atmos. Res., 224, 65–80, https://doi.org/10.1016/j.atmosres.2019.03.019, 2019. 
Bližňák, V., Pokorná, L., and Rulfová, Z.: Assessment of the capability of modern reanalyses to simulate precipitation in warm months using adjusted radar precipitation, J. Hydrol.: Reg. Stu., 42, 101121, https://doi.org/10.1016/j.ejrh.2022.101121, 2022. 
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Short summary
During the flooding of the Odra River in September 2024, daily rainfall exceeded 200 mm. The reliability of high-resolution rainfall estimates available in real time was assessed: rain gauges, radars, satellites, unconventional, and multi-source, and also reanalyses. Rain gauges, adjusted radar, and multi-source estimates showed the highest accuracy, with unconventional methods slightly lower. Numerical weather prediction models still offered reasonable reliability, but satellite estimates were less effective.
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