Tropical cyclone hazard assessment using model-based track simulation
A method is introduced for assessing the probabilities and intensities of tropical cyclones at landfall and applied to data from the North Atlantic. First, a recently developed model for the basin-wide Monte-Carlo simulation of tropical cyclone tracks is enhanced and transferred to the North Atlanti...
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ftrepec:oai:RePEc:spr:nathaz:v:48:y:2009:i:3:p:383-398 2023-05-15T17:28:38+02:00 Tropical cyclone hazard assessment using model-based track simulation Jonas Rumpf Helga Weindl Peter Höppe Ernst Rauch Volker Schmidt http://hdl.handle.net/10.1007/s11069-008-9268-9 unknown http://hdl.handle.net/10.1007/s11069-008-9268-9 article ftrepec 2020-12-04T13:35:35Z A method is introduced for assessing the probabilities and intensities of tropical cyclones at landfall and applied to data from the North Atlantic. First, a recently developed model for the basin-wide Monte-Carlo simulation of tropical cyclone tracks is enhanced and transferred to the North Atlantic basin. Subsequently, a large number of synthetic tracks is generated by means of an implementation of this model. This synthetic data is far more comprehensive than the available historical data, while exhibiting the same basic characteristics. It, thus, creates a more sound basis for assessing landfall probabilities than previously available, especially in areas with a low historical landfall frequency. Copyright Springer Science+Business Media B.V. 2009 Tropical cyclones, Hurricanes, Landfall hazard, Stochastic model, Monte-Carlo simulation Article in Journal/Newspaper North Atlantic RePEc (Research Papers in Economics) |
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Open Polar |
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RePEc (Research Papers in Economics) |
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ftrepec |
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unknown |
description |
A method is introduced for assessing the probabilities and intensities of tropical cyclones at landfall and applied to data from the North Atlantic. First, a recently developed model for the basin-wide Monte-Carlo simulation of tropical cyclone tracks is enhanced and transferred to the North Atlantic basin. Subsequently, a large number of synthetic tracks is generated by means of an implementation of this model. This synthetic data is far more comprehensive than the available historical data, while exhibiting the same basic characteristics. It, thus, creates a more sound basis for assessing landfall probabilities than previously available, especially in areas with a low historical landfall frequency. Copyright Springer Science+Business Media B.V. 2009 Tropical cyclones, Hurricanes, Landfall hazard, Stochastic model, Monte-Carlo simulation |
format |
Article in Journal/Newspaper |
author |
Jonas Rumpf Helga Weindl Peter Höppe Ernst Rauch Volker Schmidt |
spellingShingle |
Jonas Rumpf Helga Weindl Peter Höppe Ernst Rauch Volker Schmidt Tropical cyclone hazard assessment using model-based track simulation |
author_facet |
Jonas Rumpf Helga Weindl Peter Höppe Ernst Rauch Volker Schmidt |
author_sort |
Jonas Rumpf |
title |
Tropical cyclone hazard assessment using model-based track simulation |
title_short |
Tropical cyclone hazard assessment using model-based track simulation |
title_full |
Tropical cyclone hazard assessment using model-based track simulation |
title_fullStr |
Tropical cyclone hazard assessment using model-based track simulation |
title_full_unstemmed |
Tropical cyclone hazard assessment using model-based track simulation |
title_sort |
tropical cyclone hazard assessment using model-based track simulation |
url |
http://hdl.handle.net/10.1007/s11069-008-9268-9 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
http://hdl.handle.net/10.1007/s11069-008-9268-9 |
_version_ |
1766121431327834112 |