Dynamically-based seasonal forecasts of Atlantic tropical storm activity issued in June by EUROSIP

Most seasonal forecasts of Atlantic tropical storm numbers are produced using statistical-empirical models. However, forecasts can also be made using numerical models which encode the laws of physics, here referred to as "dynamical models". Based on 12 years of re-forecasts and 2 years of...

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Main Authors: Vitart, F, Huddleston, MR, Deque, M, Peake, D, Palmer, T, Stockdale, T, Davey, M, Ineson, S, Weisheimer, A
Format: Journal article
Language:English
Published: 2007
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author Vitart, F
Huddleston, MR
Deque, M
Peake, D
Palmer, T
Stockdale, T
Davey, M
Ineson, S
Weisheimer, A
author_facet Vitart, F
Huddleston, MR
Deque, M
Peake, D
Palmer, T
Stockdale, T
Davey, M
Ineson, S
Weisheimer, A
author_sort Vitart, F
collection OXFORD
description Most seasonal forecasts of Atlantic tropical storm numbers are produced using statistical-empirical models. However, forecasts can also be made using numerical models which encode the laws of physics, here referred to as "dynamical models". Based on 12 years of re-forecasts and 2 years of real-time forecasts, we show that the so-called EUROSIP (EUROpean Seasonal to Inter-annual Prediction) multi-model ensemble of coupled ocean atmosphere models has substantial skill in probabilistic prediction of the number of Atlantic tropical storms. The EUROSIP real-time forecasts correctly distinguished between the exceptional year of 2005 and the average hurricane year of 2006. These results have implications for the reliability of climate change predictions of tropical cyclone activity using similar dynamically-based coupled ocean-atmosphere models.
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spelling oxford-uuid:a33ff871-e6d5-4d47-834b-15c48abab56c2022-03-27T02:25:38ZDynamically-based seasonal forecasts of Atlantic tropical storm activity issued in June by EUROSIPJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:a33ff871-e6d5-4d47-834b-15c48abab56cEnglishSymplectic Elements at Oxford2007Vitart, FHuddleston, MRDeque, MPeake, DPalmer, TStockdale, TDavey, MIneson, SWeisheimer, AMost seasonal forecasts of Atlantic tropical storm numbers are produced using statistical-empirical models. However, forecasts can also be made using numerical models which encode the laws of physics, here referred to as "dynamical models". Based on 12 years of re-forecasts and 2 years of real-time forecasts, we show that the so-called EUROSIP (EUROpean Seasonal to Inter-annual Prediction) multi-model ensemble of coupled ocean atmosphere models has substantial skill in probabilistic prediction of the number of Atlantic tropical storms. The EUROSIP real-time forecasts correctly distinguished between the exceptional year of 2005 and the average hurricane year of 2006. These results have implications for the reliability of climate change predictions of tropical cyclone activity using similar dynamically-based coupled ocean-atmosphere models.
spellingShingle Vitart, F
Huddleston, MR
Deque, M
Peake, D
Palmer, T
Stockdale, T
Davey, M
Ineson, S
Weisheimer, A
Dynamically-based seasonal forecasts of Atlantic tropical storm activity issued in June by EUROSIP
title Dynamically-based seasonal forecasts of Atlantic tropical storm activity issued in June by EUROSIP
title_full Dynamically-based seasonal forecasts of Atlantic tropical storm activity issued in June by EUROSIP
title_fullStr Dynamically-based seasonal forecasts of Atlantic tropical storm activity issued in June by EUROSIP
title_full_unstemmed Dynamically-based seasonal forecasts of Atlantic tropical storm activity issued in June by EUROSIP
title_short Dynamically-based seasonal forecasts of Atlantic tropical storm activity issued in June by EUROSIP
title_sort dynamically based seasonal forecasts of atlantic tropical storm activity issued in june by eurosip
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