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Type: | Resource | |
Storage: | The size of this resource is 242.4 KB | |
Created: | May 31, 2024 at 10:17 a.m. | |
Last updated: | Aug 16, 2024 at 1:10 p.m. (Metadata update) | |
Published date: | Aug 16, 2024 at 1:10 p.m. | |
DOI: | 10.4211/hs.15d457e46a5a4c1cb25c3afc9dbd77f7 | |
Citation: | See how to cite this resource |
Sharing Status: | Published |
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Views: | 169 |
Downloads: | 9 |
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Abstract
This dataset contains observations made by smartphone and an additional handheld sensor in order to estimate evapotranspiration. These include luminence, surface temperature, air temperature, air pressure, relative humidity, and wind speed. The dataset also contains hourly routine meteorological observations, as well as evapotranspiration observations by a set of 6 weighing lysimeters and eddy covariance, all collected at the Rollesbroich TERENO site, which is operated by the Institute of Bio- and Geosciences of FZ Julich. The smartphone observations were used to train a simple machine learning algorithm on the observed fluxes.
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Readme.txt
Belle Holthuis 31-05-2024, Zürich This readme concerns the Rollesbroich_data.csv file. The Excel file contains meteorological data from Rollesbroich (Germany) field site and handheld meteorological observations at the same site. From the data a relationship is established to determine the evapotranspiration through a machine learning method trained on data of the handheld devices (Weatherflow WEATHERmeter and a CAT S62 Pro). The Rollesbroich data are owned by the TERENO (terrestrial environmental observations) Eifel Lower Rhine Valley group at Forschungszentrum (FZ) Jülich, Germany. The names and description in the Excel file of handheld devices' data are the following: pitch: The rotation of the phone around the x-axis (degrees) wind: Wind velocity (m/s) T_air_x: Air temperature (degrees Celsius) Pressure_x: Air pressure (mbar) RH_x: Relative humidity (%) T_soil: Soil temperature in lysimeter 1 (degrees Celsius) T_soil2: Soil temperature in lysimeter 2 (degrees Celsius) ... T_soil6: Soil temperature in lysimeter 6 (degrees Celsius) IR: Illuminance recording from Sensors app (lux/m2) The illuminance is measured with the sensor on the CAT S62 phone with 2 layers of 80 g/m2 Target paper to prevent reaching it's maximum. Cos(pitch): Cosine of the pitch recording from the Sensors app (-) The names and description in the Excel file of reference Rollesbroich data are the following: T_air_y: Air temperature (degrees Celsius) ET: Evapotranspiration from lysimeter (mm) LE: Latent heat flux from Eddy Covariance (W/m2) H: Sensible heat flux from Eddy Covariance (W/m2) Pressure_y: Air pressure (mbar) RH_y: Relative humidity (%) v_wind: Average wind velocity (m/s) ISR: Global radiation (W/m2) Qnet: Net radiation (W/m2) DT: T_air_x - T_soil, difference in air and soil temperature (degrees Celsius) LE_ET: Evapotranspiration from eddy covariance converted to water equivalent (mm) lysim_ET: Evapotranspiration from lysimeter 1 (mm) lysim_ET2: Evapotranspiration from lysimeter 2 (mm) ... lysim_ET6: Evapotranspiration from lysimeter 6 (mm) Time is the sampling moment (yyyy-mm-dd HH:MM:ss)
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Title | Owners | Sharing Status | My Permission |
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Smartphone evapotranspiration field campaign data | Adriaan J. Teuling | Published | Open Access |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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