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| Type: | Resource | |
| Storage: | The size of this resource is 5.8 KB | |
| Created: | Dec 06, 2023 at 1:12 p.m. (UTC) | |
| Last updated: | Aug 16, 2024 at 1:12 p.m. (UTC) (Metadata update) | |
| Published date: | Aug 16, 2024 at 1:12 p.m. (UTC) | |
| DOI: | 10.4211/hs.bfdb0c003e2248cc90bc75845d008887 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 1731 |
| Downloads: | 42 |
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| 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.
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Related Resources
| Title | Owners | Sharing Status | My Permission |
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| Smartphone evapotranspiration field campaign data | Adriaan J. Teuling · CUAHSI Publisher | 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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