Air pressure field and circulation pattern frequencies were investigated to (1) locate and compare positions of the underlying pressure fields, (2) analyse the spatial dimension of affected areas, (3) create schematic maps of important circulation types and (4) compare the classification types in their response to the data. Two manual classifications were used, selected for the length of their time series and their applicability to a larger region: the Grosswetterlagen classification (GWLc) and the Vangengeim–Girs classification (VGc). Their time series were correlated with a global set of gridded monthly sea-level pressure data. Results show the different conceptual orientation of VGc (hemispheric) and GWLc (continental). The highest correlation values and the largest affected areas are visible in winter, where patterns frequently extended into northern Africa and western Asia. Schematic maps, illustrating the average location of main pressure centres, are provided for basic classes of both classifications. Re-arranging GWLc subtypes increases the classifications comparability with the VGc. Analysis of moving correlation coefficients reveals high fluctuations in the relation of both classifications over time.
%0 Journal Article
%1 Hoy2012Spatial
%A Hoy, Andreas
%A Jaagus, Jaak
%A Sepp, Mait
%A Matschullat, Jörg
%D 2012
%I Springer Wien
%J Theoretical and Applied Climatology
%K weathertypes grosswetterlagen
%P 1--16
%R 10.1007/s00704-012-0707-x
%T Spatial response of two European atmospheric circulation classifications (data 1901–2010)
%U http://dx.doi.org/10.1007/s00704-012-0707-x
%X Air pressure field and circulation pattern frequencies were investigated to (1) locate and compare positions of the underlying pressure fields, (2) analyse the spatial dimension of affected areas, (3) create schematic maps of important circulation types and (4) compare the classification types in their response to the data. Two manual classifications were used, selected for the length of their time series and their applicability to a larger region: the Grosswetterlagen classification (GWLc) and the Vangengeim–Girs classification (VGc). Their time series were correlated with a global set of gridded monthly sea-level pressure data. Results show the different conceptual orientation of VGc (hemispheric) and GWLc (continental). The highest correlation values and the largest affected areas are visible in winter, where patterns frequently extended into northern Africa and western Asia. Schematic maps, illustrating the average location of main pressure centres, are provided for basic classes of both classifications. Re-arranging GWLc subtypes increases the classifications comparability with the VGc. Analysis of moving correlation coefficients reveals high fluctuations in the relation of both classifications over time.
@article{Hoy2012Spatial,
abstract = {Air pressure field and circulation pattern frequencies were investigated to (1) locate and compare positions of the underlying pressure fields, (2) analyse the spatial dimension of affected areas, (3) create schematic maps of important circulation types and (4) compare the classification types in their response to the data. Two manual classifications were used, selected for the length of their time series and their applicability to a larger region: the Grosswetterlagen classification (GWLc) and the Vangengeim–Girs classification (VGc). Their time series were correlated with a global set of gridded monthly sea-level pressure data. Results show the different conceptual orientation of VGc (hemispheric) and GWLc (continental). The highest correlation values and the largest affected areas are visible in winter, where patterns frequently extended into northern Africa and western Asia. Schematic maps, illustrating the average location of main pressure centres, are provided for basic classes of both classifications. Re-arranging GWLc subtypes increases the classifications comparability with the VGc. Analysis of moving correlation coefficients reveals high fluctuations in the relation of both classifications over time.},
added-at = {2018-06-18T21:23:34.000+0200},
author = {Hoy, Andreas and Jaagus, Jaak and Sepp, Mait and Matschullat, J\"{o}rg},
biburl = {https://www.bibsonomy.org/bibtex/24dcca04ea3ed53e3e0a32574057b66d0/pbett},
citeulike-article-id = {11286343},
citeulike-linkout-0 = {http://dx.doi.org/10.1007/s00704-012-0707-x},
citeulike-linkout-1 = {http://www.springerlink.com/content/vm82248285142047},
day = 20,
doi = {10.1007/s00704-012-0707-x},
interhash = {0e3ceba73d7c2875c9ba454c60c43798},
intrahash = {4dcca04ea3ed53e3e0a32574057b66d0},
issn = {0177-798X},
journal = {Theoretical and Applied Climatology},
keywords = {weathertypes grosswetterlagen},
month = jul,
pages = {1--16},
posted-at = {2012-11-03 13:39:38},
priority = {2},
publisher = {Springer Wien},
timestamp = {2018-06-22T18:32:31.000+0200},
title = {Spatial response of two European atmospheric circulation classifications (data 1901–2010)},
url = {http://dx.doi.org/10.1007/s00704-012-0707-x},
year = 2012
}