SCOPE-ERA5: Station-Calibrated Outputs for Planning & Engineering-ERA5

SCOPE-ERA5 (Station-Calibrated Outputs for Planning & Engineering-ERA5) is a global, observationally calibrated version of ERA5 at the location of weather stations. This dataset uses a multivariate bias adjustment method (MBCn; Cannon et al., 2018) to correct key ERA5 thermodynamic variables—such as near-surface air temperature, humidity, pressure—and wind speed based on daily observations from more than 7,100 weather stations around the world.

SCOPE-ERA5 provides temporally complete, thermodynamically consistent daily time series that better reflect observed local conditions compared to raw ERA5 at weather station locations. It is designed for use in applications requiring local accuracy, such as engineering design, and energy systems modeling, and other climate risk assessment purposes. Additional technical details are provided in the supporting article: 10.22541/essoar.175130623.32640121/v1

This Zenodo deposit includes a subset of the full SCOPE-ERA5 dataset (version 1.0-subset), covering stations in the United Kingdom. The full dataset (version 1.0-full) includes all countries and is available upon request. Each station’s data is provided in an individual NetCDF file and includes metadata such as station name, location, elevation, country, and nearest major city.

Key Features:

• Bias-adjusted ERA5 data using observed daily station records (1979–2024).
• Use of a multivariate correction that preserves inter-variable physical relationships. 
• Available for >7,100 stations globally (the subset here includes only the United Kingdom).
• Variables include: temperature (tas, tasmax, tasmin), dew point (dew_point), relative humidity (hurs), specific humidity (huss), wet-bulb temperature (wet_bulb), heat index (heat_index), wind speed (sfcWind), wind chill index (wind_chill), surface pressure (ps), shortwave radiation (rsds), clear sky shortwave radiation (rsdscs), and more.
• Format: NetCDF4 and MS Excel; one file per station.

More Details:

The set of available variables differs by weather station, since not all stations recorded each of the six foundational variables (from which other variables were derived) or met the required data completeness thresholds. To balance data quality with spatial coverage, stations were grouped into three hierarchical categories, each representing a different "package" of up to six coincident foundational variables, depending on data completeness and station data homogenization.

Category 1 stations (N = 397) met completeness criteria for dry-bulb temperature alone.
Category 2 stations (N = 2,878) additionally included complete records of relative humidity.
Category 3 stations (N = 3,840) further required complete 10-meter surface wind speed observations.

Included Supplemental and Derived Variables:

The table below is an overview of climate variables available in the dataset by category. 

The included *.csv files provide metadata for weather stations used in the dataset (subset and full dataset). Each row corresponds to a unique station, and the columns are defined as follows:

• Station_ID: Unique identifier assigned to each station in the dataset (typically a concatenation of WMO and WBAN codes if available).

• Category: Station category based on data completeness and availability (e.g., Category 1, 2, or 3), indicating which variables are available and meet quality criteria.

• Lat: Latitude of the station in decimal degrees (positive for North, negative for South).

• Lon: Longitude of the station in decimal degrees (positive for East, negative for West).

• Elevation: Elevation of the station above mean sea level in meters.

• WMO: World Meteorological Organization station ID, if available.

• WBAN: U.S. Weather Bureau Army Navy (WBAN) station code, if available.

• Station Name: Official station name, typically corresponding to the reporting airport, city, or region.

• Country: Country where the station is located.

• Province: State, province, or administrative region (if applicable).

• City: Nearest city or urban center (if applicable).

• County: County or district (if applicable).

• Continent: Continent on which the station is located (e.g., North America, Asia).

• Subregion: More specific geographic region within the continent (e.g., Southeast Asia, Western Europe).

• Train_start: First year of the 20-year period used for bias adjustment training at the station.

• Train_end: Last year of the 20-year training period.

Climatological Indicators

Several climatological indicators have been derived from the daily data from SCOPE-ERA5. These are described below.

Energy-related Indicators

Heat-related Indicators

Cold-related Indicators

Wind and Solar-related Indicators

How to cite the dataset:

Rasmussen, D. J. (2025). SCOPE-ERA5: Station-Calibrated Outputs for Planning & Engineering-ERA5 (v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3735533

How to cite the Methodology: 

Rasmussen, D.J. (2025). Multivariate Bias Correction of ERA5 Using in situ Observations for Planning and Engineering. ESSOAr. 10.22541/essoar.175130623.32640121/v1