Dataset for a reduced-scale canyon street to study tree climate benefits: summer 2020 data with well-watered apple trees - V1.1
EasyData
The dataset was acquired in an outdoor reduced-scale canyon street in Angers, France during summer 2020 to study the impact of well-watered trees on urban microclimate and human thermal comfort. The data can benefit to researchers in urban meteorology, bioclimatology and ecophysiology. It can also provide reference data to run and evaluate microclimate models, especially regarding plant-atmosphere interactions.
creationSep 24, 2024revisionOct 6, 2024publicationOct 6, 2024
Temporal CoverageJul 10, 2020Aug 4, 2020
Overview
Lineage
Dataset produced by Institut Agro - EPHor research unit (microclimate, soil data, leaf temperature data, light interception, transpiration data) and IRHS (tree leaf area and crown dimension).
The street is oriented north-south, with an aspect ratio of 1, and a reduction factor of 5. It is organized in three zones: two zones with a central alignment of 5 ornamental apple trees, and one zone without trees. The 3 zones are instrumented over the soil-plant-atmosphere continuum. The water inputs are controlled through a drip-irrigation system.
The data include microclimate variables, energy fluxes, soil water status data, tree leaf temperature, tree transpiration as well as crown light interception . The trees are characterised in terms of leaf area and crown dimensions.
This is version V1.1 of the dataset, with minor modifications to metadata and addition of surface albedos, compared to first and previous version of the dataset (V1).
More precisely, the minor modifications in this version are:
-addition of albedo values for street ground and street walls in "./01_METADATA/Material_thermal_properties.ods"
- addition of one photo in metadata file "./01_METADATA/METADATA_canyon2020.ods"
-minor update on sensor metadata in file "./00_DATA/00_SOIL_VEGETAL_CLIMATE/nomenclature_canyon2020_en.ods"
The street is oriented north-south, with an aspect ratio of 1, and a reduction factor of 5. It is organized in three zones: two zones with a central alignment of 5 ornamental apple trees, and one zone without trees. The 3 zones are instrumented over the soil-plant-atmosphere continuum. The water inputs are controlled through a drip-irrigation system.
The data include microclimate variables, energy fluxes, soil water status data, tree leaf temperature, tree transpiration as well as crown light interception . The trees are characterised in terms of leaf area and crown dimensions.
This is version V1.1 of the dataset, with minor modifications to metadata and addition of surface albedos, compared to first and previous version of the dataset (V1).
More precisely, the minor modifications in this version are:
-addition of albedo values for street ground and street walls in "./01_METADATA/Material_thermal_properties.ods"
- addition of one photo in metadata file "./01_METADATA/METADATA_canyon2020.ods"
-minor update on sensor metadata in file "./00_DATA/00_SOIL_VEGETAL_CLIMATE/nomenclature_canyon2020_en.ods"
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Others
- Link to Original Record [easydata.earth] This metadata comes from easydata.earth
- A reduced-scale canyon street to study tree climate benefits: Summer 2020 data with well-watered apple trees. Scientific Data, 11(1015)
- HERPIN Sophie (Institut Agro Rennes-Angers (Rennes - France)) (2024).Dataset for a reduced-scale canyon street to study tree climate benefits: summer 2020 data with well-watered apple trees - V1 First and previous version (V1) of the dataset. This previous version is very close to the present version. The main change is related to the fact that the former version did not have yet information on the street surfaces albedo.
- Digital Object Identifier (DOI)
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unrestricted
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CC-BY-4.0