WOVOdat is a comprehensive global database on volcanic unrest aimed at understanding pre-eruptive processes and improving eruption forecasts. WOVOdat is brought to you by WOVO (World Organization of Volcano Observatories) and presently hosted at the Earth Observatory of Singapore.
A lack of standardization in data formats and database architectures has made it nearly impossible to do comparative studies of volcanic unrest, or to search data for analogues to any current unrest. WOVOdat fills this gap by translating and compiling this myriad of data into common formats with the goal to make them freely web-accessible, for reference during volcanic crises, comparative studies, and basic research on pre-eruptive processes.
Using WOVOdat, scientists wishing to study how volcanoes prepare to erupt will be able to find a wealth of historical data at their fingertips. Scientists needing to forecast the outcome of a fresh volcanic crisis will be able to search for analogues, find the past outcomes, and estimate (changing) probabilities of how the fresh unrest will evolve.
WOVOdat JVGR Open-access publication
An online, growing library of worldwide volcanic unrest
Newhall, C.G., Costa, F., Ratdomopurbo, A., Venezky, D.Y., Widiwijayanti, C., Win, N.T.Z., Tan, K. and Fajiculay, E. (2017), “WOVOdat – an online, growing library of worldwide volcanic unrest”, Journal of Volcanology and Geothermal Research, Vol. 345, pp. 184-199, ISSN 0377-0273, https://doi.org/10.1016/j.jvolgeores.2017.08.003 http://www.sciencedirect.com/science/article/pii/S0377027317302718
WOVOdat – the global volcano unrest database aimed at improving eruption forecasts
WOVOdat contributes to the special issue “When data helps policy to address systemic risk” of the Disaster Prevention and Management (DPM) journal as part of the UN Global Assessment Report on Disaster Risk Reduction (GAR19)
Costa, F., Widiwijayanti, C., Win, N.T.Z., Fajiculay, E., Espinosa-Ortega, T. and Newhall, C.G.(2019), "WOVOdat – the global volcano unrest database aimed at improving eruption forecasts", Disaster Prevention and Management, Vol. 28 No. 6, pp. 738-751, https://doi.org/10.1108/DPM-09-2019-0301
AGU-EOS meeting report
Data from past eruptions could reduce future volcano hazards
Optimizing the Use of Volcano Monitoring Database to Anticipate Unrest; Yogyakarta, Indonesia, 26–29 November 2018. Costa, F., Widiwijayanti, C., and Humaida, H., (2019), Eos, 100, https://doi.org/10.1029/2019EO118941