31 citations as recorded by crossref.

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3. Convective Initiation Proxies for Nowcasting Precipitation Severity Using the MSG-SEVIRI Rapid Scan D. Gallucci et al. https://doi.org/10.3390/rs12162562
4. Forecast of precipitation for the 1994 flood in Piedmont: performance of an ensemble system at convection-permitting resolution I. Cerenzia et al. https://doi.org/10.1007/s42865-020-00025-2
5. Using nowcasting technique and data assimilation in a meteorological model to improve very short range hydrological forecasts M. Poletti et al. https://doi.org/10.5194/hess-23-3823-2019
6. Ensembles of radar nowcasts and COSMO-DE-EPS for urban flood management A. Jasper-Tönnies et al. https://doi.org/10.2166/wst.2018.079
7. An approach for improving the capability of a coupled meteorological and hydrological model for rainfall and flood forecasts H. Nguyen & D. Bae https://doi.org/10.1016/j.jhydrol.2019.124014
8. A new approach for assimilation of 2D radar precipitation in a high‐resolution NWP model U. Korsholm et al. https://doi.org/10.1002/met.1466
9. On statistical nowcasting of road surface temperature Z. Yin et al. https://doi.org/10.1002/met.1729
10. A study on loss function against data imbalance in deep learning correction of precipitation forecasts X. You et al. https://doi.org/10.1016/j.atmosres.2022.106500
11. An evaluation of numerical weather prediction based rainfall forecasts M. Shahrban et al. https://doi.org/10.1080/02626667.2016.1170131
12. Adaptive Blending Method of Radar-Based and Numerical Weather Prediction QPFs for Urban Flood Forecasting S. Yoon https://doi.org/10.3390/rs11060642
13. Scale‐dependent blending of ensemble rainfall nowcasts and numerical weather prediction in the open‐source pysteps library R. Imhoff et al. https://doi.org/10.1002/qj.4461
14. Performance assessment of a Bayesian Forecasting System (BFS) for real-time flood forecasting D. Biondi & D. De Luca https://doi.org/10.1016/j.jhydrol.2012.11.019
15. Statistical Verification of a New Blending Forecast with a Spatial Maximum Filter for “Senjo-Kousuitai” in Japan D. Hatsuzuka et al. https://doi.org/10.20965/jdr.2025.p0197
16. Residual Spatiotemporal Convolutional Neural Network Based on Multisource Fusion Data for Approaching Precipitation Forecasting T. Zhang et al. https://doi.org/10.3390/atmos15060628
17. Forecasting of Flash-Flood-Producing Precipitation by Coupling Multiple Sources of Information 明. 熊 https://doi.org/10.12677/JWRR.2017.62013
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21. Application of Radar-Based Precipitation Data Improves the Effectiveness of Urban Inundation Forecasting D. Tri et al. https://doi.org/10.3390/su16093736
22. Operational early warning systems for water-related hazards in Europe L. Alfieri et al. https://doi.org/10.1016/j.envsci.2012.01.008
23. Objective Prediction of Warm Season Afternoon Thunderstorms in Northern Taiwan Using a Fuzzy Logic Approach P. Lin et al. https://doi.org/10.1175/WAF-D-11-00105.1
24. Can Lagrangian Extrapolation of Radar Fields Be Used for Precipitation Nowcasting over Complex Alpine Orography? P. Mandapaka et al. https://doi.org/10.1175/WAF-D-11-00050.1
25. DEVELOPMENT OF A METHOD TO COMBINE EXTRAPOLATING MODEL AND MESO-SCALE METEOROLOGICAL MODEL BY ESTIMATING ERROR VARIANCE AND BIAS ERROR IN REAL TIME N. TAKADA et al. https://doi.org/10.2208/jscejhe.70.I_895
26. Precipitation Nowcasting Based on Deep Learning over Guizhou, China D. Kong et al. https://doi.org/10.3390/atmos14050807
27. An operational flood warning system for poorly gauged basins: demonstration in the Guadalhorce basin (Spain) P. Versini et al. https://doi.org/10.1007/s11069-013-0949-7
28. A radar-based regional extreme rainfall analysis to derive the thresholds for a novel automatic alert system in Switzerland L. Panziera et al. https://doi.org/10.5194/hess-20-2317-2016
29. Optimized advection of radar reflectivities M. Ridal et al. https://doi.org/10.1016/j.atmosres.2010.12.016
30. A staggered approach to flash flood forecasting – case study in the Cévennes region L. Alfieri et al. https://doi.org/10.5194/adgeo-29-13-2011
31. Object‐based verification metrics applied to the evaluation and weighting of convective‐scale precipitation forecasts L. Raynaud et al. https://doi.org/10.1002/qj.3540