Abstract
This work aims to study surface meteorological patterns under different synoptic scale categories. Multivariate Data Analysis techniques were applied on two datasets including surface meteorological elements, and meteorological variables in the lower troposphere (850 and 700 hPa). For the former, three principal components were found, related to the thermodynamic status of the surface environment and the two components of the wind speed. For the lower troposphere dataset three principal components were related with: (1) the thermodynamic status, (2) the wind field at 850 hPa, and (3) the direction of the flow at 700 hPa. Principal components from the surface dataset were related with atmospheric circulation categories via Correspondence Analysis. Canonical Correlation Analysis between the surface and upper air datasets revealed: (1) the strong thermodynamic connection of the surface and the upper air environment and (2) a very weak connection between the surface flow field and the upper air circulation indicating the influence of the local topography.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bartzokas A, Metaxas DA (1995) Factor analysis of some climatological elements in Athens, 1931–1992: covariability and climatic change. Theor Appl Climatol 52:195–205
Kassomenos P, Flocas HA, Lykoudis S, Petrakis M (1998) Analysis of mesoscale patterns in relation to synoptic conditions over an urban Mediterranean basin. Theor Appl Climatol 59:215–229. doi:10.1007/s007040050025
Sharma S (1996) Applied multivariate techniques. Wiley, USA, 229p
Silveira L (1997) Multivariate analysis in hydrology: the factor correspondence analysis method applied to annual rainfall data. Hydrol Sci J 42(2):215–224. doi:10.1080/02626669709492021
Statheropoulos M, Vassiliadis N, Pappa A (1998) Principal component and canonical correlation analysis for examining air pollution and meteorological data. Atmos Environ 32(6):1087–1095. doi:10.1016/S1352-2310(97)00377-4
Wilks DS (2006) Statistical methods in the atmospheric sciences, 2nd edn. Academic, Burlington
Acknowledgments
The authors would like to thank Mr. Nikos Kaltsounidis for his contribution to the data collection and support. The upper air dataset were obtained from http://weather.uwyo.edu/upperair/sounding.html.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Halios, C.H., Helmis, C.G., Flocas, H.A., Nyeki, S., Asimakopoulos, D.N. (2013). Studying Surface Observed Meteorological Characteristics Under Different Synoptic Scale Circulation Patterns. In: Helmis, C., Nastos, P. (eds) Advances in Meteorology, Climatology and Atmospheric Physics. Springer Atmospheric Sciences. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29172-2_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-29172-2_18
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29171-5
Online ISBN: 978-3-642-29172-2
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)