Daily Snow Water Equivalent (SWE) time-series for the Venosta Valley at 50 m spatial resolution - 2017 to 2022
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Description
General Description
The dataset contains daily Snow Water Equivalent (SWE) time-series at 50 m spatial resolution for five hydrological seasons spanning from 1st October 2017 to 30th September 2022. The dataset is based on remote sensing data (Sentinel-2, MODIS) that are merged together to achieve high spatial and temporal detail, as well as in-situ data (temperature and snow depth). The SWE is reconstructed by using a degree-day model. The dataset can be used in many applications like hydrological modeling, water resource management or hydropower planning.
Data Details
- Time period: 1st October 2017 - 30th September 2022
- Type of data: Snow Water Equivalent (SWE) [mm]
- How the data was collected or derived: Derived from Sentinel-2, MODIS and in-situ temperature and snow depth data
- Statistical methods used: Generalized Additive Model (GAM)
- Limitations or exclusions in the data: The dataset does not include glacierized areas
- Coordinate reference system: EPSG:3035
- Bounding box (Xmin, Ymin, Xmax, Ymax): (4344230.449, 2592049.728, 4405893.303, 2640759.882)
- Spatial resolution: 50 m
- Image size: 1233 x 974
- File format: Cloud Optimized Geotiff (COG) format.
Support
If you discover a bug, artifact, or inconsistency, or if you have a question please contact the authors.
Reference
Premier, V., Marin, C., Bertoldi, G., Barella, R., Notarnicola, C., & Bruzzone, L. (2023). Exploring the use of multi-source high-resolution satellite data for snow water equivalent reconstruction over mountainous catchments. The Cryosphere, 17(6), 2387-2407. https://doi.org/10.5194/tc-17-2387-2023
Name convention
To ensure consistency and ease of use across and within the projects, we follow the standard Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describes important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:
- generic variable name: swe = snow water equivalent
- variable procedure combination: reconstruction
- Position in the probability distribution / variable type: c = continuous
- Spatial support: 50m
- Depth reference: s = surface
- Time reference begin time: 20171001 = 2017-10-01
- Time reference end time: 20220930 = 2022-09-30
- Bounding box: it = Italy (Venosta Valley)
- EPSG code: epsg.3035 = EPSG:3035
- Version code: v20240212 = 2024-02-12 (creation date)
Files
00_preview_swe_valvenosta_20200102.png
Files
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Additional details
Related works
- Is described by
- Publication: 10.5194/tc-17-2387-2023 (DOI)
- Publication: 10.1109/jstars.2021.3103585 (DOI)
- Is supplemented by
- Dataset: 10.5281/zenodo.8036793 (DOI)
- Dataset: 10.5281/zenodo.10580094 (DOI)
Funding
Dates
- Created
-
2024-02-12
References
- Premier, V., Marin, C., Bertoldi, G., Barella, R., Notarnicola, C., & Bruzzone, L. (2023). Exploring the use of multi-source high-resolution satellite data for snow water equivalent reconstruction over mountainous catchments. The Cryosphere, 17(6), 2387-2407. https://doi.org/10.5194/tc-17-2387-2023