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| Titel |
Characteristics of rainfall during tropical cyclone periods in Taiwan |
| VerfasserIn |
K. K. W. Cheung, L.-R. Huang, C.-S. Lee |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 8, no. 6 ; Nr. 8, no. 6 (2008-12-23), S.1463-1474 |
| Datensatznummer |
250005917
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| Publikation (Nr.) |
 copernicus.org/nhess-8-1463-2008.pdf |
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| Zusammenfassung |
Due to the Central Mountain Range with an elevation up to about 4 km, the
amount and distribution of rainfall in Taiwan associated with typhoons or
tropical cyclones (TCs) depends not only on the distribution of convection
within the TCs (internal structure) and influences from monsoon-scale
environmental flow, but also on the orographic effect. This study analyzes
the spatial and temporal characteristics of rainfall associated with 62 TC
cases that affected Taiwan by using observations from the 371 automatic rain
stations available in the period 1989–2002. It is found from the
climatology maps that highly different rainfall distributions occurred for
TCs that approached the Taiwan area from different directions. By performing
objective clustering analysis of the rainfall time series of all the rain
gauges, several characteristic temporal rainfall profiles are obtained. The
geographic distribution of rain gauges that possess a particular temporal
profile is also consistent with the possible TC track types that bring
maximum rain to the Taiwan area at different times.
Based on data in the 1989–2002 period, the development of a TC rainfall
climatology-persistence (CLIPER) model is described. CLIPER is an optimized
combination of climatology and persistence with different relative weighting
for different forecast periods. Independent cases (other than the model
development database) during 2003–2004 are used to validate the model.
Objective measures like equitable threat score and bias score show that
CLIPER's skill is acceptable for practical applications for 24-h rain
threshold below 100 mm. However, the underestimation bias for more heavy
rainfall is serious and CLIPER seems to have better performance for the
northwestern Taiwan than for the other locations. Future directions for
improvement of the CLIPER model are discussed. |
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