Improvements in tropical cyclone forecasting through ensemble prediction system at NCMRWF in India
This paper deals with the comparison of cyclone forecasts from the two versions of the operational global ensemble prediction system (EPS) at the National Centre for Medium Range Weather Forecasting (NEPS). The previous version had a horizontal resolution of 33 km with 44 ensemble members (NEPS) whe...
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| Format: | Article |
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KeAi Communications Co., Ltd.
2020-06-01
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| Series: | Tropical Cyclone Research and Review |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2225603220300175 |
| _version_ | 1819157525586509824 |
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| author | Anumeha Dube Raghavendra Ashrit Sushant Kumar Ashu Mamgain |
| author_facet | Anumeha Dube Raghavendra Ashrit Sushant Kumar Ashu Mamgain |
| author_sort | Anumeha Dube |
| collection | DOAJ |
| description | This paper deals with the comparison of cyclone forecasts from the two versions of the operational global ensemble prediction system (EPS) at the National Centre for Medium Range Weather Forecasting (NEPS). The previous version had a horizontal resolution of 33 km with 44 ensemble members (NEPS) whereas the updated version of this EPS has a resolution of 12 km with 11 members (NEPS-UP). The ensemble mean forecasts from both the models are compared using the direct position (DPE), along (ATE) and cross track (CTE) errors. For the verification of strike probability, Brier Score (BS), Brier Skill Score (BSS), Reliability Diagram, Relative Operating Characteristic (ROC) Curve and Root Mean Square Error (RMSE) in mean Vs Spread in members are used. For verification of intensity, RMSE in maximum wind speed from the ensemble mean forecasts are compared.Comparison of ensemble mean tracks from both models showed lower errors in NEPS-UP for all forecast lead times. The decrease in the DPE, ATE and CTE in NEPS-UP was around 38%, 48% and 15% respectively. NEPS-UP showed lower BS and higher BSS values indicating a better match between observed frequencies and forecast probabilities as well as higher prediction skills. The reliability diagram showed higher accuracy for NEPS-UP as compared to NEPS. The ROC curves showed that for forecasts with higher probabilities the hit rate was high in NEPS-UP. There was a greater consensus between the RMSE and Spread for NEPS-UP at all lead times. It was also seen that the RMSE in mean showed a 41% decrease from NEPS to NEPS-UP. On comparing maximum wind, it was found that for all lead times the RMSE in maximum wind speed for NEPS-UP was lower than NEPS. |
| first_indexed | 2024-12-22T16:10:09Z |
| format | Article |
| id | doaj.art-dedbcbacaa4b4e6a8b7528c488b12de4 |
| institution | Directory Open Access Journal |
| issn | 2225-6032 |
| language | English |
| last_indexed | 2024-12-22T16:10:09Z |
| publishDate | 2020-06-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Tropical Cyclone Research and Review |
| spelling | doaj.art-dedbcbacaa4b4e6a8b7528c488b12de42022-12-21T18:20:31ZengKeAi Communications Co., Ltd.Tropical Cyclone Research and Review2225-60322020-06-0192106116Improvements in tropical cyclone forecasting through ensemble prediction system at NCMRWF in IndiaAnumeha Dube0Raghavendra Ashrit1Sushant Kumar2Ashu Mamgain3Corresponding author.; National Centre for Medium Range Weather Forecasting, Earth System Science Organisation, Ministry of Earth Sciences, Noida, Uttar Pradesh, IndiaNational Centre for Medium Range Weather Forecasting, Earth System Science Organisation, Ministry of Earth Sciences, Noida, Uttar Pradesh, IndiaNational Centre for Medium Range Weather Forecasting, Earth System Science Organisation, Ministry of Earth Sciences, Noida, Uttar Pradesh, IndiaNational Centre for Medium Range Weather Forecasting, Earth System Science Organisation, Ministry of Earth Sciences, Noida, Uttar Pradesh, IndiaThis paper deals with the comparison of cyclone forecasts from the two versions of the operational global ensemble prediction system (EPS) at the National Centre for Medium Range Weather Forecasting (NEPS). The previous version had a horizontal resolution of 33 km with 44 ensemble members (NEPS) whereas the updated version of this EPS has a resolution of 12 km with 11 members (NEPS-UP). The ensemble mean forecasts from both the models are compared using the direct position (DPE), along (ATE) and cross track (CTE) errors. For the verification of strike probability, Brier Score (BS), Brier Skill Score (BSS), Reliability Diagram, Relative Operating Characteristic (ROC) Curve and Root Mean Square Error (RMSE) in mean Vs Spread in members are used. For verification of intensity, RMSE in maximum wind speed from the ensemble mean forecasts are compared.Comparison of ensemble mean tracks from both models showed lower errors in NEPS-UP for all forecast lead times. The decrease in the DPE, ATE and CTE in NEPS-UP was around 38%, 48% and 15% respectively. NEPS-UP showed lower BS and higher BSS values indicating a better match between observed frequencies and forecast probabilities as well as higher prediction skills. The reliability diagram showed higher accuracy for NEPS-UP as compared to NEPS. The ROC curves showed that for forecasts with higher probabilities the hit rate was high in NEPS-UP. There was a greater consensus between the RMSE and Spread for NEPS-UP at all lead times. It was also seen that the RMSE in mean showed a 41% decrease from NEPS to NEPS-UP. On comparing maximum wind, it was found that for all lead times the RMSE in maximum wind speed for NEPS-UP was lower than NEPS.http://www.sciencedirect.com/science/article/pii/S2225603220300175EnsembleTropical cyclonesStrike probabilityTropical cyclone location verificationIntensity verification |
| spellingShingle | Anumeha Dube Raghavendra Ashrit Sushant Kumar Ashu Mamgain Improvements in tropical cyclone forecasting through ensemble prediction system at NCMRWF in India Tropical Cyclone Research and Review Ensemble Tropical cyclones Strike probability Tropical cyclone location verification Intensity verification |
| title | Improvements in tropical cyclone forecasting through ensemble prediction system at NCMRWF in India |
| title_full | Improvements in tropical cyclone forecasting through ensemble prediction system at NCMRWF in India |
| title_fullStr | Improvements in tropical cyclone forecasting through ensemble prediction system at NCMRWF in India |
| title_full_unstemmed | Improvements in tropical cyclone forecasting through ensemble prediction system at NCMRWF in India |
| title_short | Improvements in tropical cyclone forecasting through ensemble prediction system at NCMRWF in India |
| title_sort | improvements in tropical cyclone forecasting through ensemble prediction system at ncmrwf in india |
| topic | Ensemble Tropical cyclones Strike probability Tropical cyclone location verification Intensity verification |
| url | http://www.sciencedirect.com/science/article/pii/S2225603220300175 |
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