Abstract
The aim of the presented study is to estimate regional changes in different cloud types in association with climate change in South Eastern Europe. A statistical method of downscaling is applied to calculate how cloudiness changes parallel to an increase in hemispheric temperature of 0.5°K. The regression of local variables against hemispheric mean temperature is analysed using the method of instrumental variables in the recent monotonously warming period of 1973–1996. The changes in total cloudiness and in different types of clouds (Ci, As, Ac, Cb, Cu, Sc, St and Ns) are both positive and negative, displaying a regional distribution. To find out the geographic distribution of these changes, they are enrolled in clusters and analysed in relation to geographic latitude, longitude and altitude. The results obtained show that total cloudiness, as well as Ac, Cb, Sc and St cloud types have a significant correlation to geographical longitude, while only cirrus clouds changes have a negative correlation to geographical longitude, and only cumulus cloud changes statistically depend on altitude.
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References
Hahn CJ, Warren SG (1999) Extended edited synoptic cloud reports from ships and land stations over the globe 1952–1996. Internet publication and data http://cdiac.esd.ornl.gov/epubs/ndp/ndp026c/ndp026c.html
Jones PD (1994) Hemispheric surface air temperature variations: A reanalysis and an update to 1993. J Clim 7:1794–1802.
Loon Van H, Williams J (1976) The connection between trends of mean temperature and circulation at the surface, Part I, II and III. Mon Weather Rev 104:365–380.
Meehl GA, Stocker TF, Collins WD, Friedlingstein P, Gaye AT, Gregory JM, Kitoh A, Knutti R, Murphy JM, Noda A, et al. (2007) Global climate projections. In: Solomon SD, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M and Miller HL (eds) Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge.
Mika J (1988) Regional features of global warming in Hungary. Idojárás 92:178–189, (in Hungarian).
Trenberth KE, Jones PD, Ambenje P, Bojariu R, Easterling D, Klein Tank A, Parker D, Rahimzadeh F, Renwick JA, Rusticucci M, et al. (2007) Observations: Surface and atmospheric climate change. In: Solomon SD, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M and Miller HL (eds) Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge.
Vinnikov KYa (1986) Sensitivity of climate. Gidrometeoizdat 219 p. (In Russian)
Ward JH (1963) Hierarchical grouping to optimize an objective function. J Am Stat Ass 58:236.
Acknowledgment
The author hereby expresses most sincere thanks to Dr. János Mika at the Hungarian Meteorological Service for providing the idea of the study and method development.
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Bartók, B. (2010). Changes in Different Type of Clouds in South-Eastern Europe in Association with Climate Change. In: Alexandrov, V., Gajdusek, M., Knight, C., Yotova, A. (eds) Global Environmental Change: Challenges to Science and Society in Southeastern Europe. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-8695-2_6
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DOI: https://doi.org/10.1007/978-90-481-8695-2_6
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