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Published September 27, 2024 | Version v1.1
Dataset Open

CAMELS-LUX: Highly Resolved Hydro-Meteorological and Atmospheric Data for Physiographically Characterized Catchments around Luxembourg

  • 1. ROR icon University of Luxembourg
  • 2. ROR icon Luxembourg Institute of Science and Technology
  • 3. ROR icon Karlsruhe Institute of Technology

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

  1. Hydrologic parameters
  2. Precipitation parameters
  3. Air temperature and potential evapotranspiration parameters
  4. Thunderstorm relevant atmospheric parameters
  5.  Soil Moisture parameters

Static catchment attributes

  1. Basin IDs
  2. Meta catchment attributes
  3. Climatic catchment attributes
  4. Geologic catchment attributes
  5. Land use catchment attributes
  6. Topographic catchment attributes

Spatial data - shapefiles

Files

CAMELS-LUX.zip

Files (1.4 GB)

Name Size Download all
md5:822483379e29048c94381476ea30a08a
1.4 GB Preview Download
md5:c42691fd595d655dee300c87dc8fba48
302.4 kB Preview Download
md5:899fa6b4f55abac2202a43e831d92bea
9.1 MB Preview Download

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
2025-02-22
Shapefiles were added to complement the data.