2026-05-15T01:31:43Zhttp://doidb.wdc-terra.org/oaip/oai
oai:doidb.wdc-terra.org:86772026-04-15T08:24:50ZDOIDBDOIDB.FID
false4DOIDB.FID 10.5880/fidgeo.2026.045 Dolich, Alexander Alexander Dolich 0000-0003-4160-6765 Karlsruhe Institute of Technology, Karlsruhe, Germany Acuna Espinoza, Eduardo Eduardo Acuna Espinoza 0000-0001-5218-9800 Karlsruhe Institute of Technology, Karlsruhe, Germany Ehret, Uwe Uwe Ehret 0000-0003-3454-8755 Karlsruhe Institute of Technology, Karlsruhe, Germany Kraft, Michael Michael Kraft 0009-0000-4870-155X State Office for the Environment Rhineland-Palatinate, Mainz, Germany Bondy, Jan Jan Bondy 0009-0008-2363-0941 Deutscher Wetterdienst, Offenbach, Germany Meuer, Johannes Johannes Meuer 0009-0000-1998-6699 German Climate Computing Centre, Hamburg, Germany Loritz, Ralf Ralf Loritz 0000-0002-0540-6478 Karlsruhe Institute of Technology, Karlsruhe, Germany CAMELS-DE-1h: hourly hydro-meteorological time series, weather forecasts, and attributes for 1611 catchments in Germany GFZ Data Services 2026 CAMELS Rainfall-Runoff Modelling LSTM HBV ICON-D2 Catchment Hydrology Large-Sample Hydrology Benchmark Dataset In Situ/Laboratory Instruments > Gauges > WATER LEVEL GAUGES Platforms > Land-based Platforms > Permanent Land Sites > STREAMFLOW STATION Science Keywords > EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE > SURFACE PRESSURE Science Keywords > EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC RADIATION > SHORTWAVE RADIATION > DOWNWELLING SHORTWAVE RADIATION Science Keywords > EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE Science Keywords > EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR INDICATORS > HUMIDITY > RELATIVE HUMIDITY Science Keywords > EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND DIRECTION Science Keywords > EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND SPEED Science Keywords > EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD PROPERTIES > CLOUD FREQUENCY Science Keywords > EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION AMOUNT > HOURLY PRECIPITATION AMOUNT Science Keywords > EARTH SCIENCE > ATMOSPHERE > WEATHER EVENTS > WEATHER/CLIMATE ADVISORIES > Weather Forecast Science Keywords > EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER PROCESSES/MEASUREMENTS Science Keywords > EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER PROCESSES/MEASUREMENTS > DISCHARGE/FLOW Science Keywords > EARTH SCIENCE SERVICES > MACHINE LEARNING TRAINING DATA Science Keywords > EARTH SCIENCE SERVICES > MODELS > MACHINE LEARNING MODELS > DEEP LEARNING Dolich, Alexander Karlsruhe Institute of Technology, Karlsruhe, Germany 2026-04-09 Dataset 10.5194/essd-16-5625-2024 CC BY 4.0 CAMELS-DE-1h provides a comprehensive and harmonized collection of hydro-meteorological data for 1611 catchments across Germany. The time series data cover the period from 2001 to 2024 and provide measurements of discharge, water level, and meteorological variables in hourly resolution for all catchments. The metorological variables are aggregated to the catchment areas from the gridded data sources RADKLIM-YW and HOSTRADA (DWD) and encompass the variables precipitation, air temperature, humidity, water vapor mixing ratio, global radiation, air pressure, cloud cover, dew point temperature, wind speed, and wind direction.
In addition, deterministic and ensemble weather forecasts with a 48-hour lead time, readily processed for all catchments from the ICON-D2 model (DWD), are included for the period 2021 to 2024. The dataset also provides static catchment attributes encompassing topography, soils, land cover, hydrogeology, and human influences. Furthermore, to serve as a baseline for further model development, the dataset includes discharge simulation results from a regionally trained LSTM and a catchment-calibrated HBV (Hydrologiska Byråns Vattenbalansavdelning) conceptual model.
A comprehensive description of the dataset can be found in the accompanying data description paper.

Key features of CAMELS-DE-1h:
1. Hydro-meteorological time series data in hourly resolution (2001–2024)
2. Historical deterministic and ensemble weather forecasts from ICON-D2 with a 48-hour lead time (2021–2024)
3. Catchment attributes
4. Benchmark discharge simulation results from an LSTM and the HBV model
1611 catchments across Germany, hourly hydro-meteorological time series data covering the period 2001 - 2024, all timestamps are in UTC+0. 6.00125 15.0087 47.1512 54.6987 Federal Ministry of Research, Technology and Space (BMFTR) 16IS24088A VolkswagenStiftung