Publication | Open Access
Global Ensemble Forecast System (GEFS T1534) evaluation for tropical cyclone prediction over the North Indian Ocean
16
Citations
12
References
2021
Year
Storm SurgeForecasting MethodologyEngineeringTropical Cyclone PredictionWeather ForecastingNorth Indian OceanEnsemble MethodsEarth ScienceProbabilistic ForecastingNumerical Weather PredictionData ScienceClimate ForecastingHydrometeorologyMeteorologyPredictive AnalyticsGeographyEnsemble Prediction SystemGefs T1534ForecastingTropical Cyclone ForecastingClimatologyTropical CycloneEnsemble Algorithm
The high-resolution global ensemble prediction system was implemented at IITM (Indian Institute of Tropical Meteorology) in June 2018 and handed over to India Meteorological Department (IMD) for operational running. During the Tropical Cyclone (TC) season over the North Indian Ocean, real time forecasts of ensemble tracks, intensity and strike probability of TCs are provided to IMD. This paper evaluates the skill of the model in predicting TCs during 2018, 2019 and two cases in 2020. A total of 13 cases are considered and various skill scores are calculated for the TC predictions. This study evaluates and highlights the importance of the Ensemble Prediction System for Tropical Cyclone forecasting. The key finding from this analysis is that, the higher skill of ensemble prediction system based on GEFS at longer lead time compared with the deterministic prediction. This is particularly beneficial for operational forecaster for issuing early warnings.
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