Dataset

ERA5 Historical Weather Data

ERA5 is a reanalysis dataset for historical weather backtesting, solar and wind resource assessment, and energy modelling. Yun-Meng Weather API exposes common fields by latitude and longitude so teams can use them in forecasting models, project reports and research workflows.

Spatial and Temporal Resolution

Spatial resolution
0.25° × 0.25°
Temporal resolution
1 hour
Typical use cases
Backtesting, resource assessment, model training
Temporal Coverage
1940 to present

Variable Table

FieldNameUnitDescription
tasAir temperatureK / °CNear-surface air temperature for load, PV efficiency and comfort analysis.
hursRelative humidity%Near-surface relative humidity for weather features and environmental corrections.
spSurface pressurePaSurface pressure for air density, wind power and weather normalization.
prPrecipitationm / mmHourly precipitation for site operations, icing and weather event detection.
uasNear-surface U windm/sEast-west wind component that can be combined with vas for wind speed and direction.
vasNear-surface V windm/sNorth-south wind component that can be combined with uas for wind speed and direction.
wsWind speedm/sNear-surface wind speed for diagnostics and model inputs.
wdWind directiondegreeWind direction angle for wind roses and resource analysis.
rsdsGlobal horizontal irradianceW/m²Core solar resource and PV power forecasting field.
dniDirect normal irradianceW/m²Direct irradiance for solar modelling and concentrated solar use cases.
dhiDiffuse horizontal irradianceW/m²Diffuse irradiance for sky-radiation decomposition and plane-of-array estimates.
u100100m U windm/sEast-west 100m wind component for wind resource assessment.
v100100m V windm/sNorth-south 100m wind component for wind power features.
u10nNeutral 10m U windm/sEast-west 10m wind component under neutral stability.
v10nNeutral 10m V windm/sNorth-south 10m wind component under neutral stability.

Request Example

{
  "lat": 31.7655,
  "lon": 105.205,
  "dataSourceId": "era5",
  "stime": "2026-04-20 00:00",
  "etime": "2026-04-21 23:00",
  "fields": ["tas", "hurs", "ws", "rsds"],
  "timezone": "8"
}

Dataset FAQ

Is ERA5 suitable for real-time forecasting?

ERA5 is mainly used for historical backtesting and reanalysis. Forecasting scenarios should use the German Meteorological Agency (DWD) forecast dataset.

Can ERA5 fields be used directly in renewable energy models?

Yes, but production models usually combine ERA5 with station measurements, asset parameters, terrain features and data cleaning rules.

Validate ERA5 historical weather

Use a real latitude / longitude and a few fields to check whether ERA5 fits your model before integration.