52 citations as recorded by crossref.

1. Review article: A European perspective on wind and storm damage – from the meteorological background to index-based approaches to assess impacts D. Gliksman et al. https://doi.org/10.5194/nhess-23-2171-2023
2. An analysis of uncertainties and skill in forecasts of winter storm losses T. Pardowitz et al. https://doi.org/10.5194/nhess-16-2391-2016
3. Economic losses from natural disturbances in Norway spruce forests – A quantification using Monte-Carlo simulations T. Knoke et al. https://doi.org/10.1016/j.ecolecon.2021.107046
4. On the clustering of winter storm loss events over Germany M. Karremann et al. https://doi.org/10.5194/nhess-14-2041-2014
5. Empirical evaluation of windstorm losses and meteorological variables over the Netherlands M. Fonseca Cerda et al. https://doi.org/10.1007/s11069-024-07024-y
6. Does bias correction increase reliability of flood projections under climate change? A case study of large rivers in Germany S. Huang et al. https://doi.org/10.1002/joc.3945
7. Comparing an insurer's perspective on building damages with modelled damages from pan-European winter windstorm event sets: a case study from Zurich, Switzerland C. Welker et al. https://doi.org/10.5194/nhess-21-279-2021
8. Storm Kyrill and the storms of mid-January 2007: Societal and Energy Impacts in Europe A. Kettle https://doi.org/10.5194/adgeo-58-135-2023
9. Hailstorm prediction and loss assessment using high-resolution hazard and claims data M. Fonseca-Cerda et al. https://doi.org/10.1016/j.atmosres.2025.108501
10. Insurance Law and Economics Research for Natural Hazard Management in a Changing Climate R. Schwarze https://doi.org/10.1057/gpp.2012.17
11. The use of insurance data in the analysis of Surface Water Flood events – A systematic review K. Gradeci et al. https://doi.org/10.1016/j.jhydrol.2018.10.060
12. The role of large‐scale atmospheric flow and Rossby wave breaking in the evolution of extreme windstorms over Europe J. Hanley & R. Caballero https://doi.org/10.1029/2012GL053408
13. Risk and Insurability of Storm Damages to Residential Buildings in Austria F. Prettenthaler et al. https://doi.org/10.1057/gpp.2012.15
14. Winter storm- and summer thunderstorm-related loss events with regard to climate change in Germany F. Gerstengarbe et al. https://doi.org/10.1007/s00704-013-0843-y
15. Secondary Cyclogenesis along an Occluded Front Leading to Damaging Wind Gusts: Windstorm Kyrill, January 2007 P. Ludwig et al. https://doi.org/10.1175/MWR-D-14-00304.1
16. Intraseasonal prediction of monthly storminess in the North Sea with the ACE2 atmospheric emulator and Random Forests P. Aziz et al. https://doi.org/10.5194/wcd-7-1307-2026
17. Assessment of wind–damage relations for Norway using 36 years of daily insurance data A. Jaison et al. https://doi.org/10.5194/nhess-24-1341-2024
18. Windstorm losses in Europe – What to gain from damage datasets J. Moemken et al. https://doi.org/10.1016/j.wace.2024.100661
19. Correspondence between urbanization and surface wind in the Guangdong-Hong Kong-Macao Greater Bay Area: Observations and idealized large-eddy simulation D. Xia et al. https://doi.org/10.1016/j.uclim.2023.101475
20. An empirically derived high-resolution spatial windstorm risk model: an application for the Netherlands M. Fonseca-Cerda et al. https://doi.org/10.1016/j.ijdrr.2026.106192
21. Correlation of powers of Hüsler–Reiss vectors and Brown–Resnick fields, and application to insured wind losses E. Koch https://doi.org/10.1007/s10687-023-00474-w
22. Modelling monthly near‐surface maximum daily gust speed distributions in Southwest Germany C. Jung & D. Schindler https://doi.org/10.1002/joc.4617
23. Net ecosystem exchange over a non-cleared wind-throw-disturbed upland spruce forest—Measurements and simulations M. Lindauer et al. https://doi.org/10.1016/j.agrformet.2014.07.005
24. Comparison of storm damage functions and their performance B. Prahl et al. https://doi.org/10.5194/nhess-15-769-2015
25. Modelling flood damages under climate change conditions – a case study for Germany F. Hattermann et al. https://doi.org/10.5194/nhess-14-3151-2014
26. Increasing typhoon impact and economic losses due to anthropogenic warming in Southeast China M. Huang et al. https://doi.org/10.1038/s41598-022-17323-8
27. Improving predictions of convective storm wind gusts through statistical post-processing of neural weather models A. Leclerc et al. https://doi.org/10.1038/s44304-025-00142-y
28. Towards Impact‐Based Forecasting of Storm‐Damages Using Locally Calibrated Damage Functions A. Jaison et al. https://doi.org/10.1002/met.70087
29. Spatio-Temporal Analysis of Economic Losses from Tropical Cyclones in Affected Provinces of China for the Last 30 Years (1984–2013) T. Fischer et al. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000186
30. Wind storm risk management: sensitivity of return period calculations and spread on the territory A. Mornet et al. https://doi.org/10.1007/s00477-016-1367-7
31. Climatology of Vb cyclones, physical mechanisms and their impact on extreme precipitation over Central Europe M. Messmer et al. https://doi.org/10.5194/esd-6-541-2015
32. Development of a wind gust model to estimate gust speeds and their return periods L. Seregina et al. https://doi.org/10.3402/tellusa.v66.22905
33. The impact of hurricanes on a property portfolio: an empirical study based on loss data in Portugal A. Hauser et al. https://doi.org/10.1108/MF-03-2023-0163
34. Temporal dynamic vulnerability – impact of antecedent events on residential building losses to wind storm events in Germany A. Trojand et al. https://doi.org/10.5194/nhess-25-2331-2025
35. Assessing the intensification and impact of a historical storm in a warmer climate J. Øelund et al. https://doi.org/10.5194/nhess-26-1039-2026
36. Evidence of reduced vulnerability to tropical cyclones in the Republic of Korea D. Park et al. https://doi.org/10.1088/1748-9326/10/5/054003
37. A statistical model to estimate the local vulnerability to severe weather T. Pardowitz https://doi.org/10.5194/nhess-18-1617-2018
38. Quantifying the extremity of windstorms for regions featuring infrequent events M. Walz et al. https://doi.org/10.1002/asl.758
39. Wind storm loss estimations in the Canton of Vaud (Western Switzerland) C. Etienne & M. Beniston https://doi.org/10.5194/nhess-12-3789-2012
40. Spatial risk measures for max-stable and max-mixture processes M. Ahmed et al. https://doi.org/10.1080/17442508.2019.1687703
41. Index for Predicting Insurance Claims from Wind Storms with an Application in France A. Mornet et al. https://doi.org/10.1111/risa.12395
42. Perception and use of uncertainty in severe weather warnings by emergency services in Germany T. Kox et al. https://doi.org/10.1016/j.atmosres.2014.02.024
43. Insurance loss model vs. meteorological loss index – how comparable are their loss estimates for European windstorms? J. Moemken et al. https://doi.org/10.5194/nhess-24-3445-2024
44. Projections of global warming-induced impacts on winter storm losses in the German private household sector H. Held et al. https://doi.org/10.1007/s10584-013-0872-7
45. Extreme Storm Xavier in 2013: A European Disaster with a Focus on Poland D. Rucińska & R. Ribeiro https://doi.org/10.1142/S2345737621500020
46. Arising from the Ruins: The impact of natural disasters on reconstruction labor wages D. Döhrmann et al. https://doi.org/10.1016/j.ijdrr.2021.102210
47. About the return period of a catastrophe M. Raschke https://doi.org/10.5194/nhess-22-245-2022
48. Revisiting the synoptic-scale predictability of severe European winter storms using ECMWF ensemble reforecasts F. Pantillon et al. https://doi.org/10.5194/nhess-17-1795-2017
49. Emergence of autumn rainy season in Korea due to tropical cyclone influence H. Kim et al. https://doi.org/10.1016/j.atmosres.2025.108340
50. Atmospheric blocking and weather extremes over the Euro-Atlantic sector – a review L. Kautz et al. https://doi.org/10.5194/wcd-3-305-2022
51. A 101 year record of windstorms in the Netherlands S. Cusack https://doi.org/10.1007/s10584-012-0527-0
52. Socioeconomic and climatic factors of tropical cyclone damage in South Korea J. Lee & J. Hong https://doi.org/10.1016/j.heliyon.2026.e45128