Smartphone evapotranspiration field campaign data Rietholzbach
| Authors: | |
|---|---|
| Owners: | Adriaan J. Teuling |
| Type: | Resource |
| Storage: | The size of this resource is 5.8 KB |
| Created: | Dec 06, 2023 at 1:12 p.m. |
| Last updated: | Aug 16, 2024 at 1:12 p.m. (Metadata update) |
| Published date: | Aug 16, 2024 at 1:12 p.m. |
| DOI: | 10.4211/hs.bfdb0c003e2248cc90bc75845d008887 |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
|---|---|
| Views: | 807 |
| Downloads: | 23 |
| +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
Temporal
| Start Date: | 09/10/2023 |
|---|---|
| End Date: | 09/13/2023 |
Content
Related Resources
| Title | Owners | Sharing Status | My Permission |
|---|---|---|---|
| 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/
Comments
There are currently no comments
New Comment