title: Correlations between the modelled potato crop yield and the general atmospheric circulation.
abstract: Biology-related indicators do not usually depend on just one meteorological element but on a combination of several weather indicators. One way to establish such integral indicators is to classify the general atmospheric circulation into a small number of circulation types. The aim of present study is to analyse connections between general atmospheric circulation and potato crop yield in Estonia. Meteorologically possible yield (MPY), calculated by the model POMOD, is used to characterise potato crop yield. Data of three meteorological stations and the biological parameters of two potato sorts were applied to the model, and 73 different classifications of atmospheric circulation from catalogue 1.2 of COST 733, domain 05 are used to qualify circulation conditions. Correlation analysis showed that there is at least one circulation type in each of the classifications with at least one statistically significant (99%) correlation with potato crop yield, whether in Kuressaare, Tallinn or Tartu. However, no classifications with circulation types correlating with MPY in all three stations at the same time were revealed. Circulation types inducing a decrease in the potato crop yield are more clearly represented. Clear differences occurred between the observed geographical locations as well as between the seasons: derived from the number of significant circulation types, summer and Kuressaare stand out. Of potato varieties, late 'Anti' is more influenced by circulation. Analysis of MSLP maps of circulation types revealed that the seaside stations (Tallinn, Kuressaare) suffer from negative effects of anti-cyclonic conditions (drought), while Tartu suffers from the cyclonic activity (excessive water).
authors: Department of Geography, University of Tartu, Tartu, Estonia. mait.sepp@ut.ee
authors: Mait
authors: M
authors: Sepp
authors: Triin
authors: T
authors: Saue
references: Int J Biometeorol. 2000 Nov;44(4):159-66
references: 11131286
references: Int J Biometeorol. 2001 Nov;45(4):203-7
references: 11769321
references: Int J Biometeorol. 2006 Mar;50(4):205-14
references: 16331502
references: Science. 2002 Aug 23;297(5585):1292-6
references: 12193777
references: Int J Biometeorol. 2000 Aug;44(2):53-9
references: 10993558
references: Biol Lett. 2005 Mar 22;1(1):24-6
references: 17148119
references: Int J Biometeorol. 2000 Aug;44(2):82-7
references: 10993562
references: Ann N Y Acad Sci. 2008 Dec;1146:105-52
references: 19076414