59 citations as recorded by crossref.

1. Characterizing Consecutive Flooding Events after the 2017 Mt. Salto Wildfires (Southern Italy): Hazard and Emergency Management Implications G. Esposito et al. 10.3390/w11122663
2. How Critical Is the Assimilation Frequency of Water Content Measurements for Obtaining Soil Hydraulic Parameters with Data Assimilation? J. Valdes-Abellan et al. 10.2136/vzj2018.07.0142
3. Invited perspectives: How machine learning will change flood risk and impact assessment D. Wagenaar et al. 10.5194/nhess-20-1149-2020
4. Simultaneous assimilation of water levels from river gauges and satellite flood maps for near-real-time flood mapping A. Annis et al. 10.5194/hess-26-1019-2022
5. Quality Control for Crowdsourced Personal Weather Stations to Enable Operational Rainfall Monitoring L. de Vos et al. 10.1029/2019GL083731
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7. Opportunities for crowdsourcing in urban flood monitoring A. Helmrich et al. 10.1016/j.envsoft.2021.105124
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9. Integrated community-based approaches to urban pluvial flooding research, trends and future directions: A review K. Azizi et al. 10.1016/j.uclim.2022.101237
10. Citizen science flow – an assessment of simple streamflow measurement methods J. Davids et al. 10.5194/hess-23-1045-2019
11. Acoustic signal-based indigenous real-time rainfall monitoring system for sustainable environment R. kumari et al. 10.1016/j.seta.2023.103398
12. Automatic Quality Control of Crowdsourced Rainfall Data With Multiple Noises: A Machine Learning Approach G. Niu et al. 10.1029/2020WR029121
13. Value of uncertain streamflow observations for hydrological modelling S. Etter et al. 10.5194/hess-22-5243-2018
14. Collaborative spatial information as an alternative data source for hydrodynamic model calibration: a Pernambuco State case study, Brazil G. de Oliveira et al. 10.1007/s11069-023-06073-z
15. Advances in Urban Stormwater Management in Japan: A Review Y. Shibuo & H. Furumai 10.20965/jdr.2021.p0310
16. Towards a coherent flood forecasting framework for Canada: Local to global implications L. Arnal et al. 10.1111/jfr3.12895
17. Gauging Through the Crowd: A Crowd‐Sourcing Approach to Urban Rainfall Measurement and Storm Water Modeling Implications P. Yang & T. Ng 10.1002/2017WR020682
18. Citizen science in hydrological monitoring and ecosystem services management: State of the art and future prospects N. Njue et al. 10.1016/j.scitotenv.2019.07.337
19. The potential of proxy water level measurements for calibrating urban pluvial flood models M. Moy de Vitry & J. Leitão 10.1016/j.watres.2020.115669
20. State of continental discharge estimation and modelling: challenges and opportunities for Africa K. Akpoti et al. 10.1080/02626667.2024.2402938
21. Integrating Qualitative Flow Observations in a Lumped Hydrologic Routing Model M. Mazzoleni et al. 10.1029/2018WR023768
22. Towards improved knowledge about water-related extremes based on news media information captured using artificial intelligence J. Pita Costa et al. 10.1016/j.ijdrr.2023.104172
23. Control theory-based data assimilation for hydraulic models as a decision support tool for hydropower systems: sequential, multi-metric tuning of the controllers M. Milašinović et al. 10.2166/hydro.2021.078
24. Improving Hydrological Models With the Assimilation of Crowdsourced Data P. Avellaneda et al. 10.1029/2019WR026325
25. The Techno-politics of Crowdsourced Disaster Data in the Smart City E. Wolff & F. Muñoz 10.3389/frsc.2021.695329
26. Decision support system for flood risk reduction policies: The case of a flood protection measure in the area of Vicenza G. Pantalona et al. 10.1017/dap.2021.23
27. Streamflow Prediction in Poorly Gauged Watersheds in the United States Through Data‐Driven Sparse Sensing K. Zhang et al. 10.1029/2022WR034092
28. Data Assimilation in Hydrologic Routing: Impact of Model Error and Sensor Placement on Flood Forecasting M. Mazzoleni et al. 10.1061/(ASCE)HE.1943-5584.0001656
29. Citizen science supporting agricultural monitoring with hundreds of low-cost sensors in comparison to remote sensing data C. Corbari et al. 10.1080/22797254.2022.2084643
30. Citizen observations contributing to flood modelling: opportunities and challenges T. Assumpção et al. 10.5194/hess-22-1473-2018
31. Geo-social media as a proxy for hydrometeorological data for streamflow estimation and to improve flood monitoring C. Restrepo-Estrada et al. 10.1016/j.cageo.2017.10.010
32. Value of quality controlled citizen science data for rainfall-runoff characterization in a rapidly urbanizing catchment G. Kebede Mengistie et al. 10.1016/j.jhydrol.2024.130639
33. Fast Bayesian Regression Kriging Method for Real‐Time Merging of Radar, Rain Gauge, and Crowdsourced Rainfall Data P. Yang & T. Ng 10.1029/2018WR023857
34. Multipurpose Use of Artificial Channel Networks for Flood Risk Reduction: The Case of the Waterway Padova–Venice (Italy) R. Mel et al. 10.3390/w12061609
35. The value of citizen science for flood risk reduction: cost–benefit analysis of a citizen observatory in the Brenta-Bacchiglione catchment M. Ferri et al. 10.5194/hess-24-5781-2020
36. Advances in image-based estimation of snow variable: A systematic literature review on recent studies G. Demil et al. 10.1016/j.jhydrol.2025.132855
37. Exploring Signature‐Based Model Calibration for Streamflow Prediction in Ungauged Basins M. Dal Molin et al. 10.1029/2022WR031929
38. The promise of a “people-centred” approach to floods: Types of participation in the global literature of citizen science and community-based flood risk reduction in the context of the Sendai Framework E. Wolff 10.1016/j.pdisas.2021.100171
39. Advances in the application of smartphones in hydrology L. Li et al. 10.1080/02508060.2023.2204636
40. Improving flood inundation forecasts through the assimilation of in situ floodplain water level measurements based on alternative observation network configurations A. Van Wesemael et al. 10.1016/j.advwatres.2019.05.025
41. Understanding the decision-making process in disaster risk monitoring and early-warning: A case study within a control room in Brazil F. Horita et al. 10.1016/j.ijdrr.2018.01.034
42. Refraction-based waterlogging depth measurement using solely traffic cameras for transparent flood monitoring J. Qin & P. Shen 10.1016/j.jhydrol.2025.132917
43. Comment on “Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?” by Mazzoleni et al. (2017) D. Viero 10.5194/hess-22-171-2018
44. Flood modelling using synthesised citizen science urban streamflow observations M. Fava et al. 10.1111/jfr3.12498
45. Optimal floodgate operation for river flood management: The case study of Padova (Italy) R. Mel et al. 10.1016/j.ejrh.2020.100702
46. Exploring the influence of citizen involvement on the assimilation of crowdsourced observations: a modelling study based on the 2013 flood event in the Bacchiglione catchment (Italy) M. Mazzoleni et al. 10.5194/hess-22-391-2018
47. Citizen science pioneers in Kenya – A crowdsourced approach for hydrological monitoring B. Weeser et al. 10.1016/j.scitotenv.2018.03.130
48. GFPLAIN and Multi-Source Data Assimilation Modeling: Conceptualization of a Flood Forecasting Framework Supported by Hydrogeomorphic Floodplain Rapid Mapping A. Annis & F. Nardi 10.3390/hydrology8040143
49. Modelling support to citizen observatories for strategic Danube Delta planning: Sontea-Fortuna case study A. Venturini et al. 10.1080/09640568.2018.1523787
50. Automatic water-level class estimation from repeated crowd-based photos of streams Z. Wang et al. 10.1080/02626667.2023.2240312
51. Participatory early warning and monitoring systems: A Nordic framework for web-based flood risk management H. Henriksen et al. 10.1016/j.ijdrr.2018.01.038
52. Rainfall‐Runoff Modeling Using Crowdsourced Water Level Data B. Weeser et al. 10.1029/2019WR025248
53. The use of crowdsourced social media data to improve flood forecasting C. Songchon et al. 10.1016/j.jhydrol.2023.129703
54. Evaluating terrain-based HAND-SRC flood mapping model in low-relief rural plains using high resolution topography and crowdsourced data H. Sabeh et al. 10.1016/j.jhydrol.2024.132649
55. Advancing Opportunistic Sensing in Hydrology: A Novel Approach to Measuring Rainfall With Ordinary Surveillance Cameras S. Jiang et al. 10.1029/2018WR024480
56. High‐resolution urban flood model for risk mitigation validated with records collected by the affected community M. Re et al. 10.1111/jfr3.12524
57. Using crowdsourced web content for informing water systems operations in snow-dominated catchments M. Giuliani et al. 10.5194/hess-20-5049-2016
58. The potential of urban rainfall monitoring with crowdsourced automatic weather stations in Amsterdam L. de Vos et al. 10.5194/hess-21-765-2017
59. Continuity vs. the Crowd—Tradeoffs Between Continuous and Intermittent Citizen Hydrology Streamflow Observations J. Davids et al. 10.1007/s00267-017-0872-x