EMS Annual Meeting Abstracts
Vol. 22, EMS2025-446, 2025, updated on 30 Jun 2025
https://doi.org/10.5194/ems2025-446
EMS Annual Meeting 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
The DOWNBURST MXO: a real-time downburst monitoring service in eastern Spain
Cesar Azorin-Molina1, Carlos Calvo-Sancho1,2, Andres Martin-Barrio1, Francisco Granell-Haro1, Jose Gomez-Reyes1, Andreas F. Prein3, Juan Jesús Gonzalez-Aleman4, Sergio M. Vicente-Serrano5, Tim R. McVicar6, Deliang Chen7, Zhenzhong Zeng8, Amir Pirooz9, Luis Gimeno10, Raquel Nieto10, Marcos Martinez-Roig1, Nuria P. Plaza-Martin1, and Maria Luisa Martin2,11
Cesar Azorin-Molina et al.
  • 1Centro de Investigaciones sobre Desertificación, Consejo Superior de Investigaciones Científicas (CIDE, CSIC-UV-Generalitat Valenciana), Climate, Atmosphere and Ocean Laboratory (Climatoc-Lab), Moncada, Valencia, Spain (cesar.azorin@csic.es)
  • 2Departamento de Matemática Aplicada, Escuela de Ingeniería Informática, Universidad de Valladolid, Segovia, Spain
  • 3Institute for Atmospheric and Climate Science, ETH Zürich, 8092 Zurich, Switzerland
  • 4Departamento de Desarrollo y Aplicaciones, Agencia Estatal de Meteorología (AEMET), Madrid, España
  • 5Instituto Pirenaico de Ecología, Consejo Superior de Investigaciones Científicas (IPE-CSIC), 50059 – Zaragoza, Spain
  • 6CSIRO Environment, GPO Box 1700, Canberra, Australia
  • 7Department of Earth System Science, Tsinghua University, Beijing 100084, People's Republic of China
  • 8School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
  • 9National Institute of Water and Atmospheric Research (NIWA), Auckland, New Zealand
  • 10Centro de Investigación Mariña, Universidade de Vigo, Environmental Physics Laboratory (EPhysLab), Ourense, Spain
  • 11Institute of Interdisciplinary Mathematics (IMI), Complutense University of Madrid, Madrid, Spain

In the framework of the DOWNBURST project, here we present the first real-time downburst monitoring service in eastern Spain. Downbursts are strong winds that descend from a thunderstorm and spread out quickly once they hit the ground. These extreme winds are one of the most damaging natural events and can reach the force and produce damages similar to tornados. Downbursts are challenging to detect because of their sudden onset, isolated and short-lived behaviour.

The DOWNBURST MXO is a monitoring service based on the Valencian Meteorological Society (AVAMET), a distinctive network of weather stations in eastern Spain featuring extensive spatial coverage (over 750 stations) and high temporal resolution (10-minute intervals, with 3-second wind gust measurements), all while maintaining high data quality by citizen science weather observers. The service operates using an algorithm that continuously reads 10-minute data and automatically identifies whether a downburst is occurring based on sudden changes in reference variables such as strong winds accompanied by changes in air temperature, humidity, precipitation, and/or atmospheric pressure. Where established criteria are fulfilled, the Downburst MXO web application marks the location with a symbol that alarms the public about the occurrence of a downburst. In addition, the monitoring service alerts the station owner, allowing them to verify the event. The service also collects different data about downburst events, such as the location (coordinates), time, duration, impacts (tree falls, damages in structures, etc.) and, in future updates, about the type (microbursts, macrobursts; wet and dry downbursts; and heatbursts). Along with the automated data collection, the web-based app incorporates many key data-gathering functions such as uploading images (pictures and movies), audio and a description of the event. Each recorded event is in turn verified by the DOWNBURST project research team and becomes part of a downburst database.

In a warming climate, these straight-line winds are expected to increase in intensity and frequency. Consequently, this real-time downburst monitoring service provides alerts for areas experiencing downbursts and early-warnings to vicinity areas.

Key words: downbursts, citizen science, web-based application

Acknowledgements: This research has been funded by the PROMETEO grant (Ref. CIPROM/2023/38; DOWNBURST project) for research groups of excellence of the Valencian Regional Government (GVA).

How to cite: Azorin-Molina, C., Calvo-Sancho, C., Martin-Barrio, A., Granell-Haro, F., Gomez-Reyes, J., Prein, A. F., Gonzalez-Aleman, J. J., Vicente-Serrano, S. M., McVicar, T. R., Chen, D., Zeng, Z., Pirooz, A., Gimeno, L., Nieto, R., Martinez-Roig, M., Plaza-Martin, N. P., and Martin, M. L.: The DOWNBURST MXO: a real-time downburst monitoring service in eastern Spain, EMS Annual Meeting 2025, Ljubljana, Slovenia, 7–12 Sep 2025, EMS2025-446, https://doi.org/10.5194/ems2025-446, 2025.