44 citations as recorded by crossref.

1. Towards operational impact forecasting of building damage from winter windstorms in Switzerland T. Röösli et al. https://doi.org/10.1002/met.2035
2. Toward Street‐Level Nowcasting of Flash Floods Impacts Based on HPC Hydrodynamic Modeling at the Watershed Scale and High‐Resolution Weather Radar Data P. Costabile et al. https://doi.org/10.1029/2023WR034599
3. Identifying and classifying broader scale of disaster impacts to better inform disaster management policies and practice K. Tennakoon et al. https://doi.org/10.1007/s11069-024-06707-w
4. Impact-Based Decision Making in Flood Risk Management: A Review of Behavioral and Technical Approaches Z. Bovermann et al. https://doi.org/10.1007/s13753-026-00712-2
5. 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
6. Design and evaluation of a community and impact‐based site‐specific early warning system (SS‐EWS): The SS‐EWS framework E. Meléndez‐Landaverde & D. Sempere‐Torres https://doi.org/10.1111/jfr3.12860
7. How to provide actionable information on weather and climate impacts?–A summary of strategic, methodological, and technical perspectives T. Geiger et al. https://doi.org/10.3389/fclim.2024.1343993
8. Judgment and decision strategies used by weather scientists in southeast Asia to classify impact severity X. Niu et al. https://doi.org/10.1016/j.ijdrr.2024.104799
9. Evaluation of surrogate flood models for the use in impact-based flood warning systems at national scale M. Mosimann et al. https://doi.org/10.1016/j.envsoft.2023.105936
10. Evaluating effectiveness of impact-based heatwave warnings for perceptions and risk-mitigating behaviors: Survey studies in South Korea H. Choi et al. https://doi.org/10.1016/j.crm.2025.100733
11. ‘Sharing is caring’: A socio-technical analysis of the sharing and governing of hydrometeorological hazard, impact, vulnerability, and exposure data in Aotearoa New Zealand S. Harrison et al. https://doi.org/10.1016/j.pdisas.2021.100213
12. The Basque Impact Weather Catalogue S. Gaztelumendi et al. https://doi.org/10.5194/asr-21-41-2024
13. Artificial intelligence in support of weather warnings and climate adaptation T. Neset et al. https://doi.org/10.1016/j.crm.2024.100673
14. How to best evaluate and communicate the value of severe weather warnings? K. Wapler & A. Sivle https://doi.org/10.5194/asr-22-87-2025
15. A stochastic rain-on-grid framework for handling spatio-temporal rainfall uncertainty in impact-based flood nowcasting P. Costabile et al. https://doi.org/10.1016/j.ijdrr.2026.105998
16. INSPIRE game: integration of vulnerability into impact-based forecasting of urban floods A. Singhal et al. https://doi.org/10.5194/hess-29-947-2025
17. The changing role of operational meteorology towards a transdisciplinary approach to future weather and climate services P. Davies et al. https://doi.org/10.1098/rsta.2024.0535
18. Sub-daily rainfall extremes in Croatia: a basis for improved warning thresholds K. Cindrić Kalin et al. https://doi.org/10.1007/s00704-025-05809-0
19. Using value chain approaches to evaluate the end-to-end warning chain D. Hoffmann et al. https://doi.org/10.5194/asr-20-73-2023
20. From flood impact modelling to flood impact forecasts A. Paul Zischg https://doi.org/10.1111/jfr3.12995
21. The transition to an impact-based weather-health alerting system in England: An evaluation of stakeholder perspectives T. Roberts et al. https://doi.org/10.1016/j.envsci.2025.104189
22. Potential Use of Extreme Rainfall Forecast and Socio-Economic Data for Impact-Based Forecasting at the District Level in Northern India A. Singhal et al. https://doi.org/10.3389/feart.2022.846113
23. Generating synthetic rainfall fields by R‐vine copulas applied to seamless probabilistic predictions P. Schaumann et al. https://doi.org/10.1002/qj.4751
24. Use and perception of weather forecast information across Europe A. Sivle et al. https://doi.org/10.1002/met.2053
25. Developing Early Warning Systems in Vanuatu: The Influence of Climate Variables on Malaria Incidence and Cattle Heat Stress J. Sorenson et al. https://doi.org/10.3390/cli13060118
26. Research gaps and challenges for impact-based forecasts and warnings: Results of international workshops for High Impact Weather in 2022 S. Potter et al. https://doi.org/10.1016/j.ijdrr.2025.105234
27. Ember Alerts: Assessing Wireless Emergency Alert Messages in Wildfires Using the Warning Response Model E. Kuligowski et al. https://doi.org/10.1061/NHREFO.NHENG-1724
28. Reconceiving Domestic Burning Controls: Air Quality Alerts, Behavioural Responsive Regulation, and Designing for Compliance J. Heydon et al. https://doi.org/10.1007/s00267-024-02014-z
29. Identifying the Impact-Related Data Uses and Gaps for Hydrometeorological Impact Forecasts and Warnings S. Harrison et al. https://doi.org/10.1175/WCAS-D-21-0093.1
30. Comparing flood forecasting and early warning systems in northwestern Europe T. Busker et al. https://doi.org/10.5194/nhess-26-1457-2026
31. ‘Where oh where is the data?‘: Identifying data sources for hydrometeorological impact forecasts and warnings in Aotearoa New Zealand S. Harrison et al. https://doi.org/10.1016/j.ijdrr.2021.102619
32. Could climate change and urban growth make Europeans regard urban trees as an additional source of danger? L. Portoghesi et al. https://doi.org/10.3389/ffgc.2023.1155016
33. Weathering the storm: Developing a user-centric weather forecast and warning system for Ireland G. Brown et al. https://doi.org/10.1016/j.ijdrr.2023.103687
34. Nurturing partnerships to support data access for impact forecasts and warnings: Theoretical integration and synthesis S. Harrison et al. https://doi.org/10.1016/j.ijdrr.2024.104395
35. Forecasting the impacts of severe weather S. Schroeter et al. https://doi.org/10.47389/36.1.76
36. Warning cultures in practice: Shadow systems in local flood risk governance J. Da Costa et al. https://doi.org/10.1016/j.pdisas.2025.100513
37. The Role of Water Depth Perception in Shaping Car Drivers’ Intention to Enter Floodwaters: Experimental Evidence K. Papagiannaki et al. https://doi.org/10.3390/su13084451
38. Stakeholder perspectives on extreme hot and cold weather alerts in England and the proposed move towards an impact-based approach T. Roberts et al. https://doi.org/10.1016/j.envsci.2022.07.012
39. A user experience evaluation of a mobile application for disseminating site‐specific impact‐based flood warnings: The A4alerts app E. Meléndez‐Landaverde & D. Sempere‐Torres https://doi.org/10.1111/jfr3.12951
40. 2021 UK floods: improvements and recommendations from the flood forecasting centre C. Pilling et al. https://doi.org/10.2166/nh.2023.023
41. Building a multisectoral weather impact database and piloting machine-learning based impact forecasts A. Punkka et al. https://doi.org/10.1016/j.atmosres.2026.109126
42. Responses to severe weather warnings and affective decision-making P. Weyrich et al. https://doi.org/10.5194/nhess-20-2811-2020
43. A probabilistic pluvial flood warning model based on nest som using radar reflectivity data T. Pan et al. https://doi.org/10.1007/s00477-024-02867-0
44. Gap between impact-based and impact forecast and warning: Implications for people-centric early warning system (EWS) in India B. Dash https://doi.org/10.1016/j.nhres.2023.09.005