CAMELS-LUX: Highly Resolved Hydro-Meteorological and Atmospheric Data for Physiographically Characterized Catchments around Luxembourg
Authors/Creators
Description
The CAMELS-LUX dataset encompasses hydro-meteorological time series and catchment attributes for 56 partly nested stream gauges feeding into the Luxembourgish stream network. The data is available at three temporal resolutions: daily, hourly and at a 15-minute resolution and spans the hydrological years from 2004-11-01 to 2021-10-31. The static catchment attributes cover parameters classifying the topography, geology and land use as well as climatic and hydrologic annual statistics of the 17-year time period.
While an in depth description of the dataset as well as background information on catchments, the environment and exact calculation methods is provided in the accompanying publication in ESSD, the dataset description below isolates information on the available parameters and data structure contained in the provided files.
Please note that the dataset might not include data corrections or validations that are subject to a date later than the date of the retrieval of the data for the processing of this dataset. This dates back to 2022 for most hydrologic time series, and to 2023 for the reanalysis data or the precipitation data. We are aware of duplicate rows in the time series file with a resolution of 15 minutes for catchment 16 as well as time stamp shifts in the precipitation data. We are working on correcting these data to update this dataset.
Data structure
Time series data
- Hydrologic parameters
- Precipitation parameters
- Air temperature and potential evapotranspiration parameters
- Thunderstorm relevant atmospheric parameters
- Soil Moisture parameters
Static catchment attributes
- Basin IDs
- Meta catchment attributes
- Climatic catchment attributes
- Geologic catchment attributes
- Land use catchment attributes
- Topographic catchment attributes
Spatial data - shapefiles
Files
CAMELS-LUX.zip
Additional details
Related works
- Is reviewed by
- Data paper: 10.5194/essd-2024-482 (DOI)
Funding
- Fonds National de la Recherche
- PRIDE15/10623093/HYDRO-CSI
Dates
- Updated
-
2025-02-22Shapefiles were added to complement the data.