Mapping the Wind Hazard of Global Tropical Cyclones with Parametric Wind Field Models by Considering the Effects of Local Factors
Abstract Tropical cyclones (TCs) cause catastrophic loss in many coastal areas of the world. TC wind hazard maps can play an important role in disaster management. A good representation of local factors reflecting the effects of spatially heterogeneous terrain and land cover is critical to evaluatio...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2018-02-01
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| Series: | International Journal of Disaster Risk Science |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1007/s13753-018-0161-1 |
| _version_ | 1828531046312837120 |
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| author | Chenyan Tan Weihua Fang |
| author_facet | Chenyan Tan Weihua Fang |
| author_sort | Chenyan Tan |
| collection | DOAJ |
| description | Abstract Tropical cyclones (TCs) cause catastrophic loss in many coastal areas of the world. TC wind hazard maps can play an important role in disaster management. A good representation of local factors reflecting the effects of spatially heterogeneous terrain and land cover is critical to evaluation of TC wind hazard. Very few studies, however, provide global wind hazard assessment results that consider detailed local effects. In this study, the wind fields of historical TCs were simulated with parametric models in which the planetary boundary layer models explicitly integrate local effects at 1 km resolution. The topographic effects for eight wind directions were quantified over four types of terrain (ground, escarpment, ridge, and valley), and the surface roughness lengths were estimated from a global land cover map. The missing TC parameters in the best track datasets were reconstructed with local regression models. Finally, an example of a wind hazard map in the form of wind speeds under a 100-year return period and corresponding uncertainties was created based on a statistical analysis of reconstructed historical wind fields over seven of the world’s ocean basins. |
| first_indexed | 2024-12-11T22:31:57Z |
| format | Article |
| id | doaj.art-6cc10755467646b6ac6f39d6abe6f349 |
| institution | Directory Open Access Journal |
| issn | 2095-0055 2192-6395 |
| language | English |
| last_indexed | 2024-12-11T22:31:57Z |
| publishDate | 2018-02-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | International Journal of Disaster Risk Science |
| spelling | doaj.art-6cc10755467646b6ac6f39d6abe6f3492022-12-22T00:48:05ZengSpringerOpenInternational Journal of Disaster Risk Science2095-00552192-63952018-02-0191869910.1007/s13753-018-0161-1Mapping the Wind Hazard of Global Tropical Cyclones with Parametric Wind Field Models by Considering the Effects of Local FactorsChenyan Tan0Weihua Fang1Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Faculty of Geographical Science, Beijing Normal UniversityKey Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Faculty of Geographical Science, Beijing Normal UniversityAbstract Tropical cyclones (TCs) cause catastrophic loss in many coastal areas of the world. TC wind hazard maps can play an important role in disaster management. A good representation of local factors reflecting the effects of spatially heterogeneous terrain and land cover is critical to evaluation of TC wind hazard. Very few studies, however, provide global wind hazard assessment results that consider detailed local effects. In this study, the wind fields of historical TCs were simulated with parametric models in which the planetary boundary layer models explicitly integrate local effects at 1 km resolution. The topographic effects for eight wind directions were quantified over four types of terrain (ground, escarpment, ridge, and valley), and the surface roughness lengths were estimated from a global land cover map. The missing TC parameters in the best track datasets were reconstructed with local regression models. Finally, an example of a wind hazard map in the form of wind speeds under a 100-year return period and corresponding uncertainties was created based on a statistical analysis of reconstructed historical wind fields over seven of the world’s ocean basins.http://link.springer.com/article/10.1007/s13753-018-0161-1Surface roughnessTopographic effectTropical cycloneWind field modelWind hazard |
| spellingShingle | Chenyan Tan Weihua Fang Mapping the Wind Hazard of Global Tropical Cyclones with Parametric Wind Field Models by Considering the Effects of Local Factors International Journal of Disaster Risk Science Surface roughness Topographic effect Tropical cyclone Wind field model Wind hazard |
| title | Mapping the Wind Hazard of Global Tropical Cyclones with Parametric Wind Field Models by Considering the Effects of Local Factors |
| title_full | Mapping the Wind Hazard of Global Tropical Cyclones with Parametric Wind Field Models by Considering the Effects of Local Factors |
| title_fullStr | Mapping the Wind Hazard of Global Tropical Cyclones with Parametric Wind Field Models by Considering the Effects of Local Factors |
| title_full_unstemmed | Mapping the Wind Hazard of Global Tropical Cyclones with Parametric Wind Field Models by Considering the Effects of Local Factors |
| title_short | Mapping the Wind Hazard of Global Tropical Cyclones with Parametric Wind Field Models by Considering the Effects of Local Factors |
| title_sort | mapping the wind hazard of global tropical cyclones with parametric wind field models by considering the effects of local factors |
| topic | Surface roughness Topographic effect Tropical cyclone Wind field model Wind hazard |
| url | http://link.springer.com/article/10.1007/s13753-018-0161-1 |
| work_keys_str_mv | AT chenyantan mappingthewindhazardofglobaltropicalcycloneswithparametricwindfieldmodelsbyconsideringtheeffectsoflocalfactors AT weihuafang mappingthewindhazardofglobaltropicalcycloneswithparametricwindfieldmodelsbyconsideringtheeffectsoflocalfactors |