59 citations as recorded by crossref.

1. Are Kenya Meteorological Department heavy rainfall advisories useful for forecast-based early action and early preparedness for flooding? D. MacLeod et al. 10.5194/nhess-21-261-2021
2. An operational procedure for rapid flood risk assessment in Europe F. Dottori et al. 10.5194/nhess-17-1111-2017
3. Development of a Hydrological Ensemble Prediction System to Assist with Decision-Making for Floods during Typhoons S. Yang et al. 10.3390/su12104258
4. The utility of impact data in flood forecast verification for anticipatory actions: Case studies from Uganda and Kenya F. Mitheu et al. 10.1111/jfr3.12911
5. Evaluation of a global ensemble flood prediction system in Peru K. Bischiniotis et al. 10.1080/02626667.2019.1617868
6. Regional Adaptability of Global and Regional Hydrological Forecast System H. Wang et al. 10.3390/w15020347
7. Using rainfall thresholds and ensemble precipitation forecasts to issue and improve urban inundation alerts T. Yang et al. 10.5194/hess-20-4731-2016
8. Prediction skill of Sahelian heatwaves out to subseasonal lead times and importance of atmospheric tropical modes of variability K. Guigma et al. 10.1007/s00382-021-05726-8
9. Using co-production to improve the appropriate use of sub-seasonal forecasts in Africa L. Hirons et al. 10.1016/j.cliser.2021.100246
10. A Stream-Order Family and Order-Based Parallel River Network Routing Method X. Yang et al. 10.3390/w16141965
11. A decision‐led evaluation approach for flood forecasting system developments: An application to the Global Flood Awareness System in Bangladesh S. Hossain et al. 10.1111/jfr3.12959
12. Emergency flood bulletins for Cyclones Idai and Kenneth: A critical evaluation of the use of global flood forecasts for international humanitarian preparedness and response R. Emerton et al. 10.1016/j.ijdrr.2020.101811
13. A global network for operational flood risk reduction L. Alfieri et al. 10.1016/j.envsci.2018.03.014
14. A new drought model for disaster risk management in the Punjab, Sindh and Baluchistan provinces of Pakistan E. Black et al. 10.3389/fclim.2024.1332233
15. Revealing Hidden Climate Indices from the Occurrence of Hydrologic Extremes B. Renard & M. Thyer 10.1029/2019WR024951
16. The sub-seasonal to seasonal prediction project (S2S) and the prediction of extreme events F. Vitart & A. Robertson 10.1038/s41612-018-0013-0
17. Evaluation of Early Action Mechanisms in Peru Regarding Preparedness for El Niño J. Aguirre et al. 10.1007/s13753-019-00245-x
18. Bridging forecast verification and humanitarian decisions: A valuation approach for setting up action-oriented early warnings A. Lopez et al. 10.1016/j.wace.2018.03.006
19. Impact-based seasonal rainfall forecasting to trigger early action for droughts T. Busker et al. 10.1016/j.scitotenv.2023.165506
20. Intercomparison of Runoff and River Discharge Reanalysis Datasets at the Upper Jinsha River, an Alpine River on the Eastern Edge of the Tibetan Plateau S. Chen et al. 10.3390/w17060871
21. Process‐Informed Subsampling Improves Subseasonal Rainfall Forecasts in Central America K. Kowal et al. 10.1029/2023GL105891
22. Forecasting in humanitarian operations: Literature review and research needs N. Altay & A. Narayanan 10.1016/j.ijforecast.2020.08.001
23. A comparison of social vulnerability indices specific to flooding in Ecuador: principal component analysis (PCA) and expert knowledge A. Bucherie et al. 10.1016/j.ijdrr.2022.102897
24. Anticipation Mechanism for Cold Wave: Forecast Based Financing a Case Study in the Peruvian Andes J. Bazo et al. 10.3389/fclim.2021.747906
25. How do I know if I’ve improved my continental scale flood early warning system? H. Cloke et al. 10.1088/1748-9326/aa625a
26. Operational and emerging capabilities for surface water flood forecasting L. Speight et al. 10.1002/wat2.1517
27. Assessing time, cost and quality trade-offs in forecast-based action for floods K. Bischiniotis et al. 10.1016/j.ijdrr.2019.101252
28. Does forecast-based financing (FbF) lower women's vulnerability to flooding? F. Rahman et al. 10.1016/j.pdisas.2024.100389
29. Two decades of ensemble flood forecasting: a state-of-the-art on past developments, present applications and future opportunities J. Das et al. 10.1080/02626667.2021.2023157
30. Household-level effects of providing forecast-based cash in anticipation of extreme weather events: Quasi-experimental evidence from humanitarian interventions in the 2017 floods in Bangladesh C. Gros et al. 10.1016/j.ijdrr.2019.101275
31. Recommendations to improve the interpretation of global flood forecasts to support international humanitarian operations for tropical cyclones L. Speight et al. 10.1111/jfr3.12952
32. A multi-system comparison of forecast flooding extent using a scale-selective approach H. Hooker et al. 10.2166/nh.2023.025
33. Climate Risk and Early Warning Systems: Adaptation Strategies for the Most Vulnerable Communities J. Bhardwaj et al. 10.38126/JSPG180201
34. Forecast‐based action for conservation V. Boult 10.1111/cobi.14054
35. A novel remote sensing-based calibration and validation method for distributed hydrological modelling in ungauged basins D. Zheng et al. 10.1016/j.jhydrol.2025.133119
36. Should seasonal rainfall forecasts be used for flood preparedness? E. Coughlan de Perez et al. 10.5194/hess-21-4517-2017
37. Performance of early warning systems in mitigating flood effects. A review J. Ringo et al. 10.1016/j.jafrearsci.2023.105134
38. Invited perspectives: How machine learning will change flood risk and impact assessment D. Wagenaar et al. 10.5194/nhess-20-1149-2020
39. Financing agricultural drought risk through ex-ante cash transfers G. Guimarães Nobre et al. 10.1016/j.scitotenv.2018.10.406
40. Mainstreaming forecast based action into national disaster risk management systems: experience from drought risk management in Kenya E. Mwangi et al. 10.1080/17565529.2021.1984194
41. Advancing operational flood forecasting, early warning and risk management with new emerging science: Gaps, opportunities and barriers in Kenya A. Kiptum et al. 10.1111/jfr3.12884
42. Playing the long game: Anticipatory action based on seasonal forecasts D. MacLeod et al. 10.1016/j.crm.2021.100375
43. Identifying the Barriers and Opportunities in the Provision and Use of Weather and Climate Information for Flood Risk Preparedness: The Case of Katakwi District, Uganda F. Mitheu et al. 10.3389/fclim.2022.908662
44. The potential value of seasonal drought forecasts in the context of climate change: A case study of the African elephant conservation sector E. Black et al. 10.1002/met.2190
45. A framework for comparing permanent and forecast-based flood risk-reduction strategies K. Bischiniotis et al. 10.1016/j.scitotenv.2020.137572
46. Perceptions of heat-health impacts and the effects of knowledge and preventive actions by outdoor workers in Hanoi, Vietnam S. Lohrey et al. 10.1016/j.scitotenv.2021.148260
47. Towards drought impact-based forecasting in a multi-hazard context V. Boult et al. 10.1016/j.crm.2022.100402
48. A comparison of seasonal rainfall forecasts over Central America using dynamic and hybrid approaches from Copernicus Climate Change Service seasonal forecasting system and the North American Multimodel Ensemble K. Kowal et al. 10.1002/joc.7969
49. Correlations Between Extreme Atmospheric Hazards and Global Teleconnections: Implications for Multihazard Resilience H. Steptoe et al. 10.1002/2017RG000567
50. Mitigating Prediction Error of Deep Learning Streamflow Models in Large Data‐Sparse Regions With Ensemble Modeling and Soft Data D. Feng et al. 10.1029/2021GL092999
51. Pre-disaster flood prevention funds allocation and benefit analysis considering social vulnerability to enhance urban sustainable flood resilience J. Zhong et al. 10.1016/j.ijdrr.2025.105324
52. On the selection of precipitation products for the regionalisation of hydrological model parameters O. Baez-Villanueva et al. 10.5194/hess-25-5805-2021
53. Anticipate, automate, accelerate: A framework for blockchain in anticipatory action S. Uwantege Hart et al. 10.1016/j.ijdrr.2024.104644
54. Leveraging multi-model season-ahead streamflow forecasts to trigger advanced flood preparedness in Peru C. Keating et al. 10.5194/nhess-21-2215-2021
55. Investigation of Data-Driven Rating Curve (DDRC) Approach B. Bhandari et al. 10.3390/w15030604
56. Climate risk management and rural poverty reduction J. Hansen et al. 10.1016/j.agsy.2018.01.019
57. Resilience in the developing world benefits everyone T. Palmer 10.1038/s41558-020-0888-8
58. Can seasonal hydrological forecasts inform local decisions and actions? A decision-making activity J. Neumann et al. 10.5194/gc-1-35-2018
59. Improving drought resilience in Northern Murray-Darling Basin farming communities: Is forecast-based financing suitable? A. Asghari et al. 10.1007/s11069-021-04876-6