Published February 21, 2024 | Version v0.1.0
Dataset Open

Daily Snow Water Equivalent (SWE) time-series for the Venosta Valley at 50 m spatial resolution - 2017 to 2022

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 Cryosphere17(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:

  1. generic variable name: swe = snow water equivalent
  2. variable procedure combination: reconstruction
  3. Position in the probability distribution / variable type: c = continuous
  4. Spatial support: 50m
  5. Depth reference: s = surface
  6. Time reference begin time: 20171001 = 2017-10-01
  7. Time reference end time: 20220930 = 2022-09-30
  8. Bounding box: it = Italy (Venosta Valley)
  9. EPSG code: epsg.3035 = EPSG:3035
  10. Version code: v20240212 = 2024-02-12 (creation date)

Files

00_preview_swe_valvenosta_20200102.png

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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

Snowtinel: Sentinel-1 SAR assisted catchment hydrology: toward an improved snow-melt dynamics for alpine regions 205190
Swiss National Science Foundation
OEMC – Open-Earth-Monitor Cyberinfrastructure 101059548
European Commission

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