Publication | Open Access
Medium‐Range Forecast Skill for Extraordinary Arctic Cyclones in Summer of 2008–2016
36
Citations
39
References
2018
Year
Storm SurgeEngineeringExtreme WeatherAbstract Arctic CyclonesWeather ForecastingClimate ModelingEarth System ScienceEarth ScienceNumerical Weather PredictionStorm DynamicsAtmospheric ScienceApplied MeteorologyClimate ForecastingClimate ChangeHydrometeorologyMeteorologyClimate SciencesMesoscale MeteorologyGeographyCryosphereForecastingExtraordinary Arctic CyclonesExtraordinary AcsClimate DynamicsClimatologyArctic EnvironmentMedium‐range Forecast Skill
Abstract Arctic cyclones (ACs) are a severe atmospheric phenomenon that affects the Arctic environment. This study assesses the forecast skill of five leading operational medium‐range ensemble forecasts for 10 extraordinary ACs that occurred in summer during 2008–2016. Average existence probability of the predicted ACs was >0.9 at lead times of ≤3.5 days. Average central position error of the predicted ACs was less than half of the mean radius of the 10 ACs (469.1 km) at lead times of 2.5–4.5 days. Average central pressure error of the predicted ACs was 5.5–10.7 hPa at such lead times. Therefore, the operational ensemble prediction systems generally predict the position of ACs within 469.1 km 2.5–4.5 days before they mature. The forecast skill for the extraordinary ACs is lower than that for midlatitude cyclones in the Northern Hemisphere but similar to that in the Southern Hemisphere.
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