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On the potential of ensemble forecasting for the prediction of meteotsunamis in the Balearic Islands: sensitivity to atmospheric model parameterizations

Author

Listed:
  • B. Mourre

    (SOCIB, Balearic Islands Coastal Observing and Forecasting System)

  • A. Santana

    (SOCIB, Balearic Islands Coastal Observing and Forecasting System)

  • A. Buils

    (SOCIB, Balearic Islands Coastal Observing and Forecasting System)

  • L. Gautreau

    (SOCIB, Balearic Islands Coastal Observing and Forecasting System)

  • M. Ličer

    (National Institute of Biology, Marine Biology Station)

  • A. Jansà

    (University of Balearic Islands)

  • B. Casas

    (IMEDEA, CSIC-UIB)

  • B. Amengual

    (AEMET)

  • J. Tintoré

    (SOCIB, Balearic Islands Coastal Observing and Forecasting System
    IMEDEA, CSIC-UIB)

Abstract

This study investigates the potential of ensemble forecasting using full realistic high-resolution nested atmosphere–ocean models for the prediction of meteotsunamis in Ciutadella (Menorca, Spain). The sensitivity of model results to the parameterizations of the atmospheric model is assessed considering the ten most significant recent meteotsunami events for which observations are available. Different schemes adapted to high-resolution Weather Research and Forecasting model simulations were used for the representation of cumulus, microphysics, planetary boundary layer and longwave and shortwave radiations. Results indicate a large spread of the ensemble simulations in terms of the final magnitude of the meteotsunamis. While the modeling system is shown to be able to realistically trigger tsunamigenic atmospheric disturbances in more than 90% of the situations, the small-scale characteristics of these disturbances are significantly modified with the change of parameterizations, leading to significant differences in the magnitude of the simulated sea-level response. No preferred set of parameterizations can be identified that leads to either the largest or the most realistic magnitudes in the majority of situations. Instead, the performance of a given set of parameterizations is found to change with the meteotsunami event under consideration. Importantly, the observed magnitude of the extreme sea-level oscillations lies within the range of a nine-member ensemble in 70% of the cases. This ensemble approach would then allow to generate a realistic range of possibilities in the majority of events, thus improving the realism of meteotsunami predictions compared to single deterministic forecasts.

Suggested Citation

  • B. Mourre & A. Santana & A. Buils & L. Gautreau & M. Ličer & A. Jansà & B. Casas & B. Amengual & J. Tintoré, 2021. "On the potential of ensemble forecasting for the prediction of meteotsunamis in the Balearic Islands: sensitivity to atmospheric model parameterizations," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(2), pages 1315-1336, March.
  • Handle: RePEc:spr:nathaz:v:106:y:2021:i:2:d:10.1007_s11069-020-03908-x
    DOI: 10.1007/s11069-020-03908-x
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    References listed on IDEAS

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    1. Kristian Horvath & Ivica Vilibić, 2014. "Atmospheric mesoscale conditions during the Boothbay meteotsunami: a numerical sensitivity study using a high-resolution mesoscale model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(1), pages 55-74, October.
    2. Alexander Rabinovich & Sebastian Monserrat, 1998. "Generation of Meteorological Tsunamis (Large Amplitude Seiches) Near the Balearic and Kuril Islands," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 18(1), pages 27-55, July.
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