The Met Office UK Deterministic (UKV) dataset provides high-resolution weather forecasts for the UK region. This document details the dataset structure, variables, and their relevance to solar forecasting.
The dataset uses a Lambert Azimuthal Equal Area projection centered on the UK with:
- Height: 970 pixels
- Width: 1042 pixels
- Grid Resolution: 2km
- Temporal Resolution: 60 minutes
- Forecast Range: 54 hours
These variables are critical for predicting solar irradiance attenuation:
-
high_type_cloud_area_fraction
- Description: Fraction of high-altitude clouds
- Units: 1 (fraction)
- Impact: High clouds typically have less impact on solar radiation than lower clouds
- Typical Range: 0-1
-
medium_type_cloud_area_fraction
- Description: Fraction of medium-altitude clouds
- Units: 1 (fraction)
- Impact: Moderate impact on solar radiation
- Typical Range: 0-1
-
low_type_cloud_area_fraction
- Description: Fraction of low-altitude clouds
- Units: 1 (fraction)
- Impact: Most significant impact on solar radiation
- Typical Range: 0-1
-
cloud_area_fraction
- Description: Total cloud coverage
- Units: 1 (fraction)
- Impact: Overall indicator of solar radiation reduction
- Typical Range: 0-1
Direct measurements of solar radiation components:
-
surface_downwelling_shortwave_flux_in_air
- Description: Total downward solar radiation at surface
- Units: W m⁻²
- Impact: Primary predictor for solar PV generation
- Typical Range: 0-1000+ W/m²
- Notes: Includes both direct and diffuse radiation
-
surface_downwelling_longwave_flux_in_air
- Description: Thermal radiation from atmosphere
- Units: W m⁻²
- Impact: Affects panel temperature and efficiency
- Typical Range: 200-500 W/m²
-
surface_downwelling_ultraviolet_flux_in_air
- Description: UV component of solar radiation
- Units: W m⁻²
- Impact: Can affect panel degradation and specific PV technologies
- Typical Range: 0-100 W/m²
Environmental conditions affecting solar panel efficiency:
-
air_temperature
- Description: Air temperature at 2m height
- Units: K (Kelvin)
- Impact: Panel efficiency decreases with temperature
- Typical Range: 250-320K
- Note: Convert to Celsius by subtracting 273.15
-
wind_speed
- Description: Wind speed at surface level
- Units: m s⁻¹
- Impact: Affects panel cooling and efficiency
- Typical Range: 0-30 m/s
-
wind_from_direction
- Description: Wind direction at surface level
- Units: degrees
- Impact: Can influence panel temperature and local weather patterns
- Range: 0-360°
- Note: 0° is North, 90° is East
-
lwe_thickness_of_surface_snow_amount
- Description: Snow depth in water equivalent
- Units: m
- Impact: Affects ground albedo and potential panel coverage
- Typical Range: 0-1m
The dataset uses Lambert Azimuthal Equal Area projection:
-
projection_x_coordinate
- Description: X-axis grid coordinates
- Units: m
- Range: Covers UK extent
-
projection_y_coordinate
- Description: Y-axis grid coordinates
- Units: m
- Range: Covers UK extent
Temporal information for forecasts:
-
forecast_period
- Description: Time offset from reference
- Type: timedelta64[ns]
-
forecast_reference_time
- Description: Start time of forecast
- Type: datetime64[ns]
-
time
- Description: Valid time for forecast step
- Type: datetime64[ns]
- surface_downwelling_shortwave_flux_in_air: Direct indicator of solar energy availability
- cloud_area_fraction variables: Key for radiation attenuation
- air_temperature: Critical for panel efficiency calculations
- wind_speed: Panel cooling effects
- snow_amount: Ground reflectance and coverage
- UV flux: Specific panel technology considerations
- Least significant digit information provided for each variable
- Grid mapping information available in lambert_azimuthal_equal_area variable
- All variables follow CF-1.7 conventions
This dataset is hosted on Hugging Face at openclimatefix/met-office-uk-deterministic-solar.
- Files are stored in
.zarr.zip
format - Each file represents a specific timestamp (e.g.,
2023-01-16-00.zarr.zip
) - Zarr format is optimized for:
- Cloud storage access
- Parallel I/O operations
- Efficient chunked access to large arrays
- Integration with data science tools (xarray, pandas, dask)
British Crown copyright 2022-2024, the Met Office, licensed under CC BY-SA.
Met Office UK Deterministic (UKV)2km on a 2-year rolling archive accessed from AWS Registry.