Using a spatial synoptic classification to analyze the weather-type during the main soybean development period in northwest ohio, 1999-2013
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This paper analyzes synoptic classification to identify the weather-type frequency during the main soybean growth and development period in northwest Ohio from 1999 to 2013. I collected spatial synoptic classification information using methodology pro-posed by Sheridan from which it is possible to identify the main air masses active during certain periods. The soybean main development period is July-August. The air mass information is categorized as follows: dry polar (DP), dry moderate (DM), dry tropical (DT), moist polar (MP), moist moderate (MM), and moist tropical (MT). I then tried to find a relationship between air-mass and weather type configuration, in-cluding rainfall variability, and annual soybean crop yield. I compared the years when the annual soybean yield showed reductions or variations between counties. The main result shows that in 2008 there were a strong occurrence of the dry moderate (DM) weather, especially in August when this air mass was present during 13 consecutive days. That year soybean crop yields showed considerable reduction compared to other years. I applied correlations tests between soybean yield and air-mass frequency but found no positive results beyond 2008.
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English
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Pennsylvania Geographer, v. 57, n. 1, p. 34-45, 2019.
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