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| Titel |
Statistical atmospheric downscaling for rainfall estimation in Kyushu Island, Japan |
| VerfasserIn |
C. Bertacchi Uvo, J. Olsson, O. Morita, K. Jinno, A. Kawamura, K. Nishiyama, N. Koreeda, T. Nakashima |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 5, no. 2 ; Nr. 5, no. 2, S.259-271 |
| Datensatznummer |
250002413
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| Publikation (Nr.) |
 copernicus.org/hess-5-259-2001.pdf |
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| Zusammenfassung |
| The present paper
develops linear regression models based on singular value decomposition (SVD)
with the aim of downscaling atmospheric variables
statistically to estimate average rainfall in the Chikugo River Basin, Kyushu
Island, southern Japan, on a 12-hour basis. Models were
designed to take only significantly correlated areas into account in the
downscaling procedure. By using particularly precipitable water in
combination with wind speeds at 850 hPa, correlation coefficients between
observed and estimated precipitation exceeding 0.8 were reached.
The correlations exhibited a seasonal variation with higher values during autumn
and winter than during spring and summer. The SVD analysis
preceding the model development highlighted three important features of the
rainfall regime in southern Japan: (1) the so-called Bai-u
front which is responsible for the majority of summer rainfall, (2) the strong
circulation pattern associated with autumn rainfall, and
(3) the strong influence of orographic lifting creating a pronounced east-west
gradient across Kyushu Island. Results confirm the feasibility of
establishing meaningful statistical relationships between atmospheric state and
basin rainfall even at time scales of less than one day.
Keywords: atmospheric downscaling, precipitation, rainfall, singular value
decomposition, southern Japan |
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