18 citations as recorded by crossref.

1. Performance comparison of GPM IMERG V07 with its predecessor V06 and its application in extreme precipitation clustering over Türkiye H. Aksu & S. Yaldiz https://doi.org/10.1016/j.atmosres.2024.107840
2. Changing patterns of compound coastal flooding along the Pacific coast of North America: precipitation-surge interactions under climate change M. Fereshtehpour et al. https://doi.org/10.1016/j.wace.2026.100963
3. Reliance on daily mean streamflow data biases inferred flood seasonality B. Anderson et al. https://doi.org/10.1088/1748-9326/ae8e90
4. Weather persistence on sub-seasonal to seasonal timescales: a methodological review A. Tuel & O. Martius https://doi.org/10.5194/esd-14-955-2023
5. Assessing compound flood drivers in Peninsular India: Multivariate copula-based approach A. Mukherjee et al. https://doi.org/10.1016/j.jenvman.2025.127875
6. Nonstationarity in Records of Extreme Precipitation Frequency for the Upper Midwest N. Gallagher et al. https://doi.org/10.1061/JHYEFF.HEENG-6830
7. Subseasonal Clustering of Atmospheric Rivers Over the Western United States E. Slinskey et al. https://doi.org/10.1029/2023JD038833
8. Impact-based temporal clustering of multiple meteorological hazard types in southwestern Germany K. Küpfer et al. https://doi.org/10.5194/nhess-25-2885-2025
9. Spatiotemporal changes in UK heavy rainfall events not captured by intensity-based methods L. Devitt et al. https://doi.org/10.1088/1748-9326/ae17dc
10. A global perspective on the sub-seasonal clustering of precipitation extremes A. Tuel & O. Martius https://doi.org/10.1016/j.wace.2021.100348
11. On the links between sub-seasonal clustering of extreme precipitation and high discharge in Switzerland and Europe A. Tuel et al. https://doi.org/10.5194/hess-26-2649-2022
12. Floods and droughts: a multivariate perspective M. Brunner https://doi.org/10.5194/hess-27-2479-2023
13. Spatiotemporal variations of inter- and intra-annual extreme streamflow in the Yangtze River Basin A. Huang et al. https://doi.org/10.1016/j.jhydrol.2024.130634
14. The influence of modes of climate variability on the sub-seasonal temporal clustering of extreme precipitation A. Tuel & O. Martius https://doi.org/10.1016/j.isci.2022.103855
15. Temporal hydrological drought clustering varies with climate and land-surface processes M. Brunner & K. Stahl https://doi.org/10.1088/1748-9326/acb8ca
16. Clustering and Characteristic Analysis of Sub-daily Scale (< 12 h) Heavy Rainfall Types in South Korea Based on Observed Rainfall Data H. Yu et al. https://doi.org/10.1007/s13143-025-00412-9
17. Hydro-climatic extremes: trends, anomalies and implications for urban water management K. Shrestha & V. Pandey https://doi.org/10.2166/wcc.2026.220
18. Exploring the association between precipitation and hospital admission for mental disorders in Switzerland between 2009 and 2019 S. Lee et al. https://doi.org/10.1371/journal.pone.0283200