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A spatio-temporal model for assessing winter damage risk to east coast vineyards
Authors:Andrew Hoegh  Scotland Leman
Institution:Department of Statistics, Virginia Tech, Hutcheson Hall, 250 Drillfield Drive, Blacksburg, VA 24061, USA
Abstract:Climate is an essential component in site suitability for agriculture in general, and specifically in viticulture. With the recent increase in vineyards on the East Coast, an important climactic consideration in site suitability is extreme winter temperature. Often, maps of annual minimum temperatures are used to determine cold hardiness. However, cold hardiness of grapes is a more complicated process, since the temperature that grapes are able to withstand without damage is not constant. Rather, recent temperature cause acclimation or deacclimation and hence, have a large influence on cold hardiness. By combining National Oceanic and Atmospheric Administration (NOAA) weather station data and leveraging recently created cold hardiness models for grapes, we develop a dynamic spatio-temporal model to determine the risk of winter damage due to extreme cold for several grape varieties commonly grown in the eastern United States. This analysis provides maps of winter damage risk to three grape varieties, Chardonnay, Cabernet Sauvignon, and Concord.
Keywords:dynamic linear models  cold hardiness  wine  spatio-temporal modeling  Gaussian process
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