Comparison of different global ensemble prediction systems for tropical cyclone intensity forecasting
Abstract Many meteorological centers have operationally implemented global model‐based ensemble prediction systems (GEPSs), making tropical cyclone (TC) forecasts from these systems available. The relatively low resolution of these GEPSs means that limits previous studies primarily focused on TC tra...
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Online Access: | http://dx.doi.org/10.1002/asl.1207 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/asl.1207 |
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crwiley:10.1002/asl.1207 2024-10-20T14:10:33+00:00 Comparison of different global ensemble prediction systems for tropical cyclone intensity forecasting Lu, Deyu Ding, Ruiqiang Mao, Jiangyu Zhong, Quanjia Zou, Qian National Natural Science Foundation of China 2024 http://dx.doi.org/10.1002/asl.1207 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/asl.1207 en eng Wiley http://creativecommons.org/licenses/by/4.0/ Atmospheric Science Letters volume 25, issue 4 ISSN 1530-261X 1530-261X journal-article 2024 crwiley https://doi.org/10.1002/asl.1207 2024-09-23T04:35:56Z Abstract Many meteorological centers have operationally implemented global model‐based ensemble prediction systems (GEPSs), making tropical cyclone (TC) forecasts from these systems available. The relatively low resolution of these GEPSs means that limits previous studies primarily focused on TC track forecasting. However, recent GEPS upgrades mean that TC intensity predictions from GEPSs are now also becoming of interest. This study focuses on the verification and comparison of the latest generation of GEPSs for TC intensity forecasts, particularly during the rapid intensification (RI) period over the western North Pacific (WP), eastern North Pacific (EP), and North Atlantic (NA) basins in 2021–2022. On average, the National Centers for Environmental Prediction (NCEP) GEPS performed best in predicting both TC intensity and RI across all three basins. Nevertheless, the exact timing of RI remains highly uncertain for these GEPS, indicating significant limitations in using GEPSs to forecast RI. Article in Journal/Newspaper North Atlantic Wiley Online Library Pacific Atmospheric Science Letters |
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Wiley Online Library |
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English |
description |
Abstract Many meteorological centers have operationally implemented global model‐based ensemble prediction systems (GEPSs), making tropical cyclone (TC) forecasts from these systems available. The relatively low resolution of these GEPSs means that limits previous studies primarily focused on TC track forecasting. However, recent GEPS upgrades mean that TC intensity predictions from GEPSs are now also becoming of interest. This study focuses on the verification and comparison of the latest generation of GEPSs for TC intensity forecasts, particularly during the rapid intensification (RI) period over the western North Pacific (WP), eastern North Pacific (EP), and North Atlantic (NA) basins in 2021–2022. On average, the National Centers for Environmental Prediction (NCEP) GEPS performed best in predicting both TC intensity and RI across all three basins. Nevertheless, the exact timing of RI remains highly uncertain for these GEPS, indicating significant limitations in using GEPSs to forecast RI. |
author2 |
National Natural Science Foundation of China |
format |
Article in Journal/Newspaper |
author |
Lu, Deyu Ding, Ruiqiang Mao, Jiangyu Zhong, Quanjia Zou, Qian |
spellingShingle |
Lu, Deyu Ding, Ruiqiang Mao, Jiangyu Zhong, Quanjia Zou, Qian Comparison of different global ensemble prediction systems for tropical cyclone intensity forecasting |
author_facet |
Lu, Deyu Ding, Ruiqiang Mao, Jiangyu Zhong, Quanjia Zou, Qian |
author_sort |
Lu, Deyu |
title |
Comparison of different global ensemble prediction systems for tropical cyclone intensity forecasting |
title_short |
Comparison of different global ensemble prediction systems for tropical cyclone intensity forecasting |
title_full |
Comparison of different global ensemble prediction systems for tropical cyclone intensity forecasting |
title_fullStr |
Comparison of different global ensemble prediction systems for tropical cyclone intensity forecasting |
title_full_unstemmed |
Comparison of different global ensemble prediction systems for tropical cyclone intensity forecasting |
title_sort |
comparison of different global ensemble prediction systems for tropical cyclone intensity forecasting |
publisher |
Wiley |
publishDate |
2024 |
url |
http://dx.doi.org/10.1002/asl.1207 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/asl.1207 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Atmospheric Science Letters volume 25, issue 4 ISSN 1530-261X 1530-261X |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1002/asl.1207 |
container_title |
Atmospheric Science Letters |
_version_ |
1813450460967731200 |