Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

Smartphone evapotranspiration field campaign data


Authors:
Owners: This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) to determine if accessing this resource is possible.
Type: Resource
Storage: The size of this resource is 7.3 KB
Created: Dec 06, 2023 at 1:12 p.m.
Last updated: Dec 11, 2023 at 8:49 p.m.
Citation: See how to cite this resource
Sharing Status: Private (Accessible via direct link sharing)
Views: 129
Downloads: 12
+1 Votes: Be the first one to 
 this.
Comments: No comments (yet)

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 large weighing lysimeter and eddy covariance, all collected at the Büel meteorological station in the Rietholzbach catchment, which is operated by the Land-Climate Dynamics group at the Institute for Atmospheric and Climate Science (IAC), ETH Zurich. The smartphone observations were used to train a simple machine learning algorithm on the observed fluxes.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Rietholzbach catchment (Büel station)
Longitude
8.9935°
Latitude
47.3804°

Temporal

Start Date:
End Date:

Content

Readme.txt

Jasper Lammers 26-10-2023, Wageningen
This readme concerns the Rietholzbach_data.csv file. 
The Excel file contains meteorological data from Büel 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 deivces (Weatherflow WEATHERmeter and a CAT S62 Pro).
The Büel data are owned by the Land-Climate Dynamics group at the Institute for Atmospheric and Climate Science (IAC), ETH Zurich.

The names and description in the Excel file of handheld devices' data are the following:
T_air_x: Air temperature (degrees Celsius)
Pressure_x: Air pressure (mbar)
RH_x: Relative humidity (%)
wind: Wind velocity (m/s)
T_soil: Soil temperature (degrees Celsius)
IR: Illuminance recording from Sensors app (lux/m2)
Cos(pitch): Cosine of the pitch recording from the Sensors app (-)

The names and description in the Excel file of reference Büel 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)
LE_ET: Evapotranspiration from eddy covariance converted to water equivalent (mm)

Time is the sampling moment (yyyy-mm-dd HH:MM:ss)

How to Cite

Teuling, A. J., J. Lammers (2023). Smartphone evapotranspiration field campaign data, HydroShare, http://www.hydroshare.org/resource/bfdb0c003e2248cc90bc75845d008887

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

Comments

There are currently no comments

New Comment

required