GrapeHardiNet

Grapevine Cold Hardiness Model

What is GrapeHardiNet?

GrapeHardiNet is a cold hardiness model, in Excel, that can be used to help predicted grapevine bud cold hardiness based on ambient variables such as air temperature, relative humidity, solar radiation, etc. A full description of this model can be found at Saxena et al., 2023 (AAAI).

The AgAID Institute is providing this cold hardiness model, as an Excel Workbook download free of charge. If you are located in Washington State, this model is already set up to run on each of the AgWeatherNet Stations in the state. An AgWeatherNet account is required to view the model, but making an account is currently free of charge.  If you are located outside of Washington State, simply add your own temperature data to the Excel Workbook.

For information on how to proceed should temperatures reach critical values, please refer to the Washington State University (WSU) Extension publication Assessing and Managing Cold Damage in Washington Vineyards. For more detailed information on grapevine cold hardiness and to view the true measured cold hardiness values for grapevine buds and wood, please refer to WSU’s Viticulture and Enology Cold Hardiness website.

Obtaining a copy of GrapeHardiNet

(Excel File)

  1. Please send your name, affiliation (Government, University, Grower, Consultant, Student), location (City, State/Province, Country), and preferred contact email to: [email protected].   We are asking for your contact information so that we may track where the model is being used. It also allows us to contact you when we have model updates.
  2. Please use “GrapeHardiNet Cold Hardiness Model Request” as the subject line.
  3. You will receive a reply which will contain a download link to the file.

Using GrapeHardiNet on AgWeatherNet website

Each AgWeatherNet station across Washington State is capable of modeling grapevine cold hardiness predictions and estimated critical low-temperature thresholds for bud damage of over 20 wine and juice grape cultivars based on the locally observed temperature for each weather station.

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