The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/20583801

Dai, Yi; Boekee, Judith; Schilperoort, Bart; Veldhuis, Marie-Claire ten; van de Wiel, B. J. H. (Bas) (2023): Data underlying the publication: Wind machines for frost damage mitigation: A quantitative 3D investigation based on observations. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/20583801.v1

Dataset

• Forestry Sciences
• Agriculture, Land and Farm Management
• Atmospheric Sciences
• Earth Sciences
• Agricultural and Veterinary Sciences

Distributed Temperature Sensing, Frost mitigation, Thermal inversion erosion, Turbulent flux transport, Wind machines

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07/05/2021 - 08/05/2022

CC0

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by Yi Dai , Judith Boekee, Bart Schilperoort , Marie-Claire ten Veldhuis , B. J. H. (Bas) van de Wiel

 ***General Introduction***

This dataset contains data collected during the Clarity on Fruitfrost project at Delft University of Technology, as part of Y. Dai’s PhD Thesis project.

It is being made public both to act as supplementary data for publications of Y. Dai and in order for other researchers to use this data in their own work.

The data in this data set was collected in Krabbendijke, The Netherlands, 7-8 May 2021.

This research project was made possible by a grant from the NWO.

***Purpose of the measurement campaign***

The purpose of these experiments was to study frost protection by a wind machine in a fruit orchard.

***Description of the data in this data set***

The data included in this data set has been organised per instrument. The files follow the nomenclature system: Month_instrument_loc with loc = wind direction + number of tree rows distance to the wind machine

The precise location of the instruments is mapped in a google earth file: data_location_4TU_May.kmz. 

The following instruments are included: sonic-anometer, radiometer, DTS.

• 2023-05-31 first online, published, posted

4TU.ResearchData

Wind machines for frost damage mitigation: A quantitative 3D investigation based on observations

• NWO EN-WSS.2018.006

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Water Management