The Forecast Skill of Tropical Cyclone Genesis in Two Global EnsemblesSource: Weather and Forecasting:;2022:;volume( 038 ):;issue: 001::page 83DOI: 10.1175/WAF-D-22-0145.1Publisher: American Meteorological Society
Abstract: Tropical cyclone (TC) genesis forecasts during 2018–20 from two operational global ensemble prediction systems (EPSs) are evaluated over three basins in this study. The two ensembles are from the European Centre for Medium-Range Weather Forecasts (ECMWF-EPS) and the MetOffice in the United Kingdom (UKMO-EPS). The three basins include the northwest Pacific, northeast Pacific, and the North Atlantic. It is found that the ensemble members in each EPS show a good level of agreement in forecast skill, but their forecasts are complementary. Probability of detection (POD) can be doubled by taking all the member forecasts in the EPS into account. Even if an ensemble member does not make a hit forecast, it may predict the presence of cyclonic vortices. Statistically, a hit forecast has more nearby disturbance forecasts in the ensemble than a false alarm. Based on the above analysis, we grouped the nearby forecasts at each model initialization time to define ensemble genesis forecasts, and verified these forecasts to represent the performance of the ensemble system. The PODs are found to be more than twice that of the individual ensemble members at most lead times, which is about 59% and 38% at the 5-day lead time in UKMO-EPS and ECMWF-EPS, respectively; while the success ratios are smaller compared with that of the ensemble members. In addition, predictability differs in different basins, and genesis events in the North Atlantic basin are the most difficult to forecast in EPS, and its POD at the 5-day lead time is only 46% and 23% in UKMO-EPS and ECMWF-EPS, respectively.
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| contributor author | Xiping Zhang | |
| contributor author | Juan Fang | |
| contributor author | Zifeng Yu | |
| date accessioned | 2023-04-12T18:46:58Z | |
| date available | 2023-04-12T18:46:58Z | |
| date copyright | 2022/12/29 | |
| date issued | 2022 | |
| identifier other | WAF-D-22-0145.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4290244 | |
| description abstract | Tropical cyclone (TC) genesis forecasts during 2018–20 from two operational global ensemble prediction systems (EPSs) are evaluated over three basins in this study. The two ensembles are from the European Centre for Medium-Range Weather Forecasts (ECMWF-EPS) and the MetOffice in the United Kingdom (UKMO-EPS). The three basins include the northwest Pacific, northeast Pacific, and the North Atlantic. It is found that the ensemble members in each EPS show a good level of agreement in forecast skill, but their forecasts are complementary. Probability of detection (POD) can be doubled by taking all the member forecasts in the EPS into account. Even if an ensemble member does not make a hit forecast, it may predict the presence of cyclonic vortices. Statistically, a hit forecast has more nearby disturbance forecasts in the ensemble than a false alarm. Based on the above analysis, we grouped the nearby forecasts at each model initialization time to define ensemble genesis forecasts, and verified these forecasts to represent the performance of the ensemble system. The PODs are found to be more than twice that of the individual ensemble members at most lead times, which is about 59% and 38% at the 5-day lead time in UKMO-EPS and ECMWF-EPS, respectively; while the success ratios are smaller compared with that of the ensemble members. In addition, predictability differs in different basins, and genesis events in the North Atlantic basin are the most difficult to forecast in EPS, and its POD at the 5-day lead time is only 46% and 23% in UKMO-EPS and ECMWF-EPS, respectively. | |
| publisher | American Meteorological Society | |
| title | The Forecast Skill of Tropical Cyclone Genesis in Two Global Ensembles | |
| type | Journal Paper | |
| journal volume | 38 | |
| journal issue | 1 | |
| journal title | Weather and Forecasting | |
| identifier doi | 10.1175/WAF-D-22-0145.1 | |
| journal fristpage | 83 | |
| journal lastpage | 97 | |
| page | 83–97 | |
| tree | Weather and Forecasting:;2022:;volume( 038 ):;issue: 001 | |
| contenttype | Fulltext |