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| Titel |
The large-scale spatio-temporal variability of precipitation over Sweden observed from the weather radar network |
| VerfasserIn |
A. Devasthale, L. Norin |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 7, no. 6 ; Nr. 7, no. 6 (2014-06-06), S.1605-1617 |
| Datensatznummer |
250115811
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| Publikation (Nr.) |
 copernicus.org/amt-7-1605-2014.pdf |
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| Zusammenfassung |
| Using measurements from the national network of 12 weather radar stations for
the 11-year period 2000–2010, we investigate the large-scale
spatio-temporal variability of precipitation over Sweden. These statistics
provide useful information to evaluate regional climate models as well as for
hydrology and energy applications. A strict quality control is applied to
filter out noise and artifacts from the radar data. We focus on investigating
four distinct aspects: the diurnal cycle of precipitation and its
seasonality, the dominant timescale (diurnal versus seasonal) of
variability, precipitation response to different wind directions, and the
correlation of precipitation events with the North Atlantic Oscillation (NAO)
and the Arctic Oscillation (AO). When classified based on their intensity,
moderate- to high-intensity events
(precipitation > 0.34 mm/3 h) peak distinctly during late afternoon over the
majority of radar stations in summer and during late night or early morning
in winter. Precipitation variability is highest over the southwestern parts
of Sweden. It is shown that the high-intensity events
(precipitation > 1.7 mm/3 h) are positively correlated with
NAO and AO (esp. over northern Sweden), while the low intensity events are
negatively correlated (esp. over southeastern parts). It is further observed
that southeasterly winds often lead to intense precipitation events over
central and northern Sweden, while southwesterly winds contribute most to the
total accumulated precipitation for all radar stations. Apart from its
operational applications, the present study demonstrates the potential of the
weather radar data set for studying climatic features of precipitation over
Sweden. |
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