Mylonas, M.P.; Douvis, K.C.; Polychroni, I.D.; Politi, N.; Nastos, P.T. Investigation of the Mediterranean Cyclone Cleopatra Using the WRF Model: Sensitivity Analysis and Ensemble Forecasting Approach. Preprints2018, 2018100196. https://doi.org/10.20944/preprints201810.0196.v1
APA Style
Mylonas, M.P., Douvis, K.C., Polychroni, I.D., Politi, N., & Nastos, P.T. (2018). Investigation of the Mediterranean Cyclone Cleopatra Using the WRF Model: Sensitivity Analysis and Ensemble Forecasting Approach. Preprints. https://doi.org/10.20944/preprints201810.0196.v1
Chicago/Turabian Style
Mylonas, M.P., Nadia Politi and Panagiotis T. Nastos. 2018 "Investigation of the Mediterranean Cyclone Cleopatra Using the WRF Model: Sensitivity Analysis and Ensemble Forecasting Approach" Preprints. https://doi.org/10.20944/preprints201810.0196.v1
Abstract
Towards the investigation and further understanding of the development and propagation of Medicanes, this study explores the forecasting capability of WRF model in case of cyclone “Cleopatra” which affected with extreme rainfall and strong winds Sardinia and Calabria, Italy, in November 2013. This cyclone was unusual in that it developed a warm core but did not fulfill its transformation into a tropical-like cyclone because its core did not expand high enough in the tropospnere. The ERA5 reanalysis dataset was dynamically downscaled from 31 km spatial horizontal resolution to 9 km using WRF model. The methodology consists of; firstly, an extensive physical parameterization schemes sensitivity test and consequently, a short-range ensemble forecasting implementation based on the highest statistical scored physics configuration. All simulation results were validated against surface observations and remote sensing products. Subsequently, the modeled cyclone trajectories are compared to satellite imagery derived from EUMETSAT-SEVIRI gridded data. The findings of the conducted analysis illustrate that ensemble average displays significant difference in performance compared to any of the deterministic runs individually, suggesting that ensemble forecasts will be beneficial in studies assessing cyclonic events in the Mediterranean region.
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
