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Maximum winter temperature over Romania in connection to atmospheric circulation
This study investigates the dominant large-scale air circulations that control the winter maximum temperature distributions over Romania. We focus on the winter frequency of circulation types determined from the Grosswetter-Types (GWT) classification methods. We applied an unmixing method based on n...
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Published in: | Theoretical and applied climatology 2024-05, Vol.155 (5), p.3861-3870 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | This study investigates the dominant large-scale air circulations that control the winter maximum temperature distributions over Romania. We focus on the winter frequency of circulation types determined from the Grosswetter-Types (GWT) classification methods. We applied an unmixing method based on non-negative matrix factorization (NMF) to cumulative distributions of monthly absolute maximum winter temperatures recorded at 163 Romanian weather stations between 1961 and 2013. This method can determine both the form of the end-members and their contributions using only the input maximum temperature distributions, giving access to extreme temperature distributions and providing further insight about the link between thermal extremes and large-scale atmospheric circulation. For comparison, we also fitted the generalized extreme value distribution (GEV) to the time series. Our findings show that the particular shape of the Romanian Carpathians divides the territory into two distinct climatological areas (the intra-Carpathian and the extra-Carpathian). The NMF method proved that all maximum winter temperature distributions from 163 Romanian meteorological stations could be entirely explained by only four end-members (EMs). Both the NMF and the GEV distributions can be explained by the interplay between circulations and orography. Hence, different circulation types combined with different orography could produce similar extreme temperature distributions. |
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ISSN: | 0177-798X 1434-4483 |
DOI: | 10.1007/s00704-024-04854-5 |