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Modified, threshold-based circulation type classification for Central Europe, on the basis of Lityński’s classification Cover

Modified, threshold-based circulation type classification for Central Europe, on the basis of Lityński’s classification

Miscellanea Geographica
Volume 23 (2019): Issue 1 (January 2019)
By: Kinga Kulesza  
Open Access
|Jan 2019

Figures & Tables

Figure 1

Example of a spatial domain for the Lityński-based circulation type classification.Source: own elaboration.
Example of a spatial domain for the Lityński-based circulation type classification.Source: own elaboration.

Figure 2

The thresholds for the classes of the indices Wp (a), Ws (b) and Cp (c) for 16 January 1948-2015. ORG_u – the upper threshold for the ORG classification; NEW_u – the upper threshold for the NEW classification; MOD20_u – the upper threshold for the MOD20 classification; ORG_I – the lower threshold for the ORG classification; NEW_I – the lower threshold for the NEW classification; and MOD20_I – the lower threshold for the MOD20 classification.Source: own elaboration.
The thresholds for the classes of the indices Wp (a), Ws (b) and Cp (c) for 16 January 1948-2015. ORG_u – the upper threshold for the ORG classification; NEW_u – the upper threshold for the NEW classification; MOD20_u – the upper threshold for the MOD20 classification; ORG_I – the lower threshold for the ORG classification; NEW_I – the lower threshold for the NEW classification; and MOD20_I – the lower threshold for the MOD20 classification.Source: own elaboration.

Figure 3

The value distribution of the Wp, Ws, and Cp indices for January (JAN), April (APR), July (JUL), and October (OCT) 1986-2015. Vertical dashed lines denote the class thresholds according to the formula x̄ ±0.433σ (the NEW1 variant); vertical continuous lines denote the class thresholds according to the percentiles 33 and 67 (the MOD30 variant). Variant names are explained in the text.Source: own elaboration.
The value distribution of the Wp, Ws, and Cp indices for January (JAN), April (APR), July (JUL), and October (OCT) 1986-2015. Vertical dashed lines denote the class thresholds according to the formula x̄ ±0.433σ (the NEW1 variant); vertical continuous lines denote the class thresholds according to the percentiles 33 and 67 (the MOD30 variant). Variant names are explained in the text.Source: own elaboration.

Figure 4

Deviations (%) of the frequencies of individual classes for the indices Wp (a), Ws (b), and Cp (c) from the theoretical equally-likely frequency (where the frequency of each class equals 33.33%), in individual classification variants. Variant names are explained in the text.Source: own elaboration.
Deviations (%) of the frequencies of individual classes for the indices Wp (a), Ws (b), and Cp (c) from the theoretical equally-likely frequency (where the frequency of each class equals 33.33%), in individual classification variants. Variant names are explained in the text.Source: own elaboration.

Figure 5

Mean absolute error (MAE) for the sub-variants MOD5, MOD10, MOD15, MOD20, MOD25, MOD30, and MOD35 at different periods of time on which the class thresholds are calculated. Variant names are explained in the text.Source: own elaboration.
Mean absolute error (MAE) for the sub-variants MOD5, MOD10, MOD15, MOD20, MOD25, MOD30, and MOD35 at different periods of time on which the class thresholds are calculated. Variant names are explained in the text.Source: own elaboration.

Figure 6

Atmospheric circulation types determined using the ORG and MOD20 classifications in comparison with synoptic charts for selected days at 12:00 UTC. Variant names are explained in the text.Source: own work on the basis of synoptic charts obtained from: Koninklijk Nederlands Meteorologisch Instituut 2018.
Atmospheric circulation types determined using the ORG and MOD20 classifications in comparison with synoptic charts for selected days at 12:00 UTC. Variant names are explained in the text.Source: own work on the basis of synoptic charts obtained from: Koninklijk Nederlands Meteorologisch Instituut 2018.

Mean absolute error (MAE) for the different variants of the classification algorithm_ Variant names are explained in the text_

VariantORGNEWNEW1MOD30
MAB (pp)1.821.051.010.74

The matrix of agreement between the results of individual classification schemes (%)_ Variant names are explained in the text_

ORG
89.3NEW
88.095.6NEW1
84.991.193.0MOD30
80.986.387.689.2MOD20
DOI: https://doi.org/10.2478/mgrsd-2018-0033 | Journal eISSN: 2084-6118 | Journal ISSN: 0867-6046
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Language: English
Page range: 53 - 62
Submitted on: Apr 24, 2018
Accepted on: Oct 11, 2018
Published on: Jan 31, 2019
Published by: Faculty of Geography and Regional Studies, University of Warsaw
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Atmospheric circulation,
circulation type classification,
threshold-based classification,
Litynski,
Central Europe
Related subjects:
Geosciences,
Geography,
Geosciences, other

© 2019 Kinga Kulesza, published by Faculty of Geography and Regional Studies, University of Warsaw
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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