Description: 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
Global identifier:
Doi(
"10.5880/fidgeo.2026.045",
)
Tags: Blei ? Globalstrahlung ? Wasserdampf ? Windgeschwindigkeit ? Deutschland ? Lufttemperatur ? Papier ? Topographie ? Benchmarking ? Einzugsgebiet ? Hydrogeologie ? Messdaten ? Landbedeckung ? Daten ? Niederschlag ? Zeitreihe ? Science Keywords > EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD PROPERTIES > CLOUD FREQUENCY ? CAMELS ? 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 ? Catchment Hydrology ? HBV ? ICON-D2 ? In Situ/Laboratory Instruments > Gauges > WATER LEVEL GAUGES ? LSTM ? Large-Sample Hydrology ? Platforms > Land-based Platforms > Permanent Land Sites > STREAMFLOW STATION ? Rainfall-Runoff Modelling ? 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 ? Benchmark Dataset ? Science Keywords > EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION AMOUNT > HOURLY PRECIPITATION AMOUNT ?
License: Creative Commons Namensnennung 4.0
Language: Englisch/English
Issued: 2026-01-01
Last harvest: 01.01.1970 00:00
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