Biometeorological Dataset for 'Novel algorithms for high resolution prediction of canopy evapotranspiration in grapevine'

A head trained Vitis vinifera L. cv. Zinfandel vine was grafted on St. George rootstock (V. rupestris) then planted in a 1.1 m3 plastic container filled with Yolo County, CA sourced sandy loam.

To estimate evapotranspiration, we measured the wind speed, air temperature and relative humidity in vine canopies by mounting each vine with a suite of research grade sensors. We measured wind speed (units m ᐧ s-1) inside the vine canopy using a single needle anemometer (East 30 Sensors; Pullman, WA) that took instantaneous wind speed measurements every 10 seconds and recorded the average of the previous 12 instantaneous measurements for every 2-minute interval.

We measured temperature (units oC) and relative humidity (units %) using HMP60L sensors (Campbell Scientific; Logan, UT) mounted both inside and outside of each vine canopy and recorded instantaneous measurements at each 2-minute interval. We filtered all biometeorological data using a 3-hour moving average to remove noise without causing any significant over or under-approximation of daily maxima and minima.

We automated all data collection using two CR1000 data loggers (Campbell Scientific; Logan, UT), with 1 or 2 vines and associated sensors per logger, using custom CR1 programs.  A single 30W solar cell and 12V lead acid battery powered the entire vine-sensor system.

This dataset represents all sensor data from a single vine, as measured in August 2020. Columns are named accordingly and include units.

Please Note: The column named 'load_cell_kg' is not named accurately. The values given are in units of millivolts, and need to be translated from millivolts to kilograms. The 2020 calibration coefficient is 0.00330693663 millivolts per kilogram.