Published February 27, 2026 | Version v2.1

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.

 

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. Meta catchment attributes
  2. Climatic catchment attributes
  3. Geologic catchment attributes
  4. Land use catchment attributes
  5. Topographic catchment attributes

Spatial data - shapefiles

Files

CAMELS-LUX.zip

Files (880.9 MB)

Name Size
md5:6c4a14a0feed08382a6b565a798d8fdc
871.5 MB Preview Download
md5:572e8691c0681f28942adb43a91cf060
9.1 MB Preview Download
md5:98ac2c171558d89da53dd2b3b4a2476d
271.1 kB 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
2026-02-27
The timeseries files were renamed unambiguously and the shapefiles were complemented.