Articles | Volume 21, issue 8
https://doi.org/10.5194/nhess-21-2407-2021
https://doi.org/10.5194/nhess-21-2407-2021
Research article
 | 
17 Aug 2021
Research article |  | 17 Aug 2021

Social sensing of high-impact rainfall events worldwide: a benchmark comparison against manually curated impact observations

Michelle D. Spruce, Rudy Arthur, Joanne Robbins, and Hywel T. P. Williams

Related authors

Social sensing a volcanic eruption: application to Kīlauea 2018
James Hickey, James Young, Michelle Spruce, Ravi Pandit, Hywel Williams, Rudy Arthur, Wendy Stovall, and Matthew Head
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-3,https://doi.org/10.5194/nhess-2024-3, 2024
Preprint under review for NHESS
Short summary

Related subject area

Atmospheric, Meteorological and Climatological Hazards
Application of the teaching–learning-based optimization algorithm to an analytical model of thunderstorm outflows to analyze the variability of the downburst kinematic and geometric parameters
Andi Xhelaj and Massimiliano Burlando
Nat. Hazards Earth Syst. Sci., 24, 1657–1679, https://doi.org/10.5194/nhess-24-1657-2024,https://doi.org/10.5194/nhess-24-1657-2024, 2024
Short summary
Projections and uncertainties of winter windstorm damage in Europe in a changing climate
Luca G. Severino, Chahan M. Kropf, Hilla Afargan-Gerstman, Christopher Fairless, Andries Jan de Vries, Daniela I. V. Domeisen, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 24, 1555–1578, https://doi.org/10.5194/nhess-24-1555-2024,https://doi.org/10.5194/nhess-24-1555-2024, 2024
Short summary
Improving seasonal predictions of German Bight storm activity
Daniel Krieger, Sebastian Brune, Johanna Baehr, and Ralf Weisse
Nat. Hazards Earth Syst. Sci., 24, 1539–1554, https://doi.org/10.5194/nhess-24-1539-2024,https://doi.org/10.5194/nhess-24-1539-2024, 2024
Short summary
A satellite view of the exceptionally warm summer of 2022 over Europe
João P. A. Martins, Sara Caetano, Carlos Pereira, Emanuel Dutra, and Rita M. Cardoso
Nat. Hazards Earth Syst. Sci., 24, 1501–1520, https://doi.org/10.5194/nhess-24-1501-2024,https://doi.org/10.5194/nhess-24-1501-2024, 2024
Short summary
Demographic yearbooks as a source of weather-related fatalities: the Czech Republic, 1919–2022
Rudolf Brázdil, Kateřina Chromá, and Pavel Zahradníček
Nat. Hazards Earth Syst. Sci., 24, 1437–1457, https://doi.org/10.5194/nhess-24-1437-2024,https://doi.org/10.5194/nhess-24-1437-2024, 2024
Short summary

Cited articles

Aisha, T. S., Wok, S., Manaf, A. M. A., and Ismail, R.: Exploring the Use of Social Media During the 2014 Flood in Malaysia, Procedia - Soc. Behav. Sci., 211, 931–937, https://doi.org/10.1016/J.SBSPRO.2015.11.123, 2015. 
Arthur, R., Boulton, C. A., Shotton, H., and Williams, H. T. P.: Social sensing of floods in the UK, available at: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0189327 (last access: 17 December 2020), 2018. 
Bossu, R., Fallou, L., Landès, M., Roussel, F., Julien-Laferrière, S., Roch, J., and Steed, R.: Rapid Public Information and Situational Awareness After the November 26, 2019, Albania Earthquake: Lessons Learned From the LastQuake System, Front. Earth Sci., 8, 235, https://doi.org/10.3389/feart.2020.00235, 2020. 
Boulton, C. A., Shotton, H., and Williams, H. T. P.: Using social media to detect and locate wildfires, in Tenth International AAAI Conference on Web and Social Media, AAAI, available at: https://www.aaai.org/ocs/index.php/ICWSM/ICWSM16/paper/view/13204 (last access: 14 October 2019), 2016. 
Brouwer, T., Eilander, D., van Loenen, A., Booij, M. J., Wijnberg, K. M., Verkade, J. S., and Wagemaker, J.: Probabilistic flood extent estimates from social media flood observations, Nat. Hazards Earth Syst. Sci., 17, 735–747, https://doi.org/10.5194/nhess-17-735-2017, 2017. 
Download
Short summary
Despite increased use of impact-based weather warnings, the social impacts of extreme weather events lie beyond the reach of conventional meteorological observations and remain difficult to quantify. This study compares data collected from the social media platform Twitter with a manually curated database of high-impact rainfall events across the globe between January–June 2017. Twitter is found to be a good detector of impactful rainfall events and, therefore, a useful source of impact data.
Altmetrics
Final-revised paper
Preprint