
SCOPE-ERA5 (Station-Calibrated Outputs for Planning & Engineering-ERA5) is a global, observationally calibrated daily resolution 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 was developed by Degree Day LLC, an independent provider of climate risk analytics research (https://www.degreeday.org). 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 both the full SCOPE-ERA5 daily timeseries dataset (restricted) and a subset covering only stations in the United Kingdom (unrestricted). The full dataset is available for non-commercial use. 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. This Zenodo deposit also includes several climatological indicators calculated from SCOPE-ERA5 daily timeseries at the full record of weather stations. Key Features: Bias-adjusted ERA5 data using observed daily station records (1979–2024). Use of a multivariate correction that preserves inter-variable physical relationships. Daily timeseris available for >7,100 stations globally 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. Category Number of Stations Foundational Variables Available (Field Names) Category 1 397 Dry-bulb temperature (tas), maximum temperature (tasmax), minimum temperature (tasmin) Category 2 2,878 Dry-bulb temperature (tas), maximum temperature (tasmax), minimum temperature (tasmin), relative humidity (hurs), surface pressure (ps) Category 3 3,840 Dry-bulb temperature (tas), maximum temperature (tasmax), minimum temperature (tasmin), relative humidity (hurs), 10-meter surface wind speed (sfcWind), surface pressure (ps) Included Supplemental and Derived Variables: The table below is an overview of climate variables available in the dataset by category. Variable Long Name Field Name Units Dataset Category Availability Mean Dry-Bulb Temperature tas K 1, 2, 3 Maximum Dry-Bulb Temperature tasmax K 1, 2, 3 Minimum Dry-Bulb Temperature tasmin K 1, 2, 3 Diurnal Dry-Bulb Temperature Range dtr K 1, 2, 3 Diurnal Dry-Bulb Temperature Skewness tasskew [0‚1] 1, 2, 3 Mean Surface Downwelling Shortwave Radiation rsds W m-2 1, 2, 3 Mean Surface Pressure ps Pa 2, 3 Mean Relative Humidity hurs [0‚1] 2, 3 Minimum Relative Humidity hursmin [0‚1] 2, 3 Maximum Relative Humidity hursmax [0‚1] 2, 3 Mean Dew Point Temperature dew_point K 2, 3 Mean Specific Humidity huss [0‚1] 2, 3 Mean Wet-Bulb Temperature wet_bulb K 2, 3 Maximum Wet-Bulb Temperature wet_bulb_max K 2, 3 Mean NWS Heat Index Temperature heat_index °C 2, 3 Maximum NWS Heat Index Temperature heat_index_max °C 2, 3 Mean 10-m Surface Wind Speed sfcWind m/s 3 Mean Wind Chill wind_chill °C 3 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 and are available for download in this repository. Energy-related Indicators Field Name Description cdd_10c, cdd_18c Cooling Degree Days with base 10°C (50°F) and 18.3°C (65°F); a proxy for cooling energy demand. hdd_10c, hdd_18c Heating Degree Days with base 10°C (50°F) and 18.3°C (65°F); a proxy for heating energy demand. Heat-related Indicators Field Name Description hw_thresh_day Daytime heatwave threshold [the larger of: the 90th percentile of daily maximum temperature over climatological warmest 2 months (1985-2014) or 30°C (86°F)]. hw_thresh_night Nighttime heatwave threshold [the larger of: the 90th percentile of daily minimum temperature over climatological warmest 2 months (1985-2014) or 20°C (68°F)]. hw_freq_day, hw_freq_night Annual count of heatwave events, defined as periods of at least three consecutive days exceeding the threshold. hw_mag_day, hw_mag_night Maximum intensity of any heatwave per year as measured by the cumulative excess temperatures over the local heatwave threshold hw_len_day, hw_len_night Number of days exceeding the heatwave threshold per year (meething both duration and intensity thresholds). warm_nights_20c, warm_nights_22c Number of days per year where the daily minimum temperature exceeds 20°C (68°F) and 22°C (72°F). tx_above90f, tx_above95f Number of days per year with max temperature above 90°F (32°C) and 95°F (35°C). hi_days_90f, hi_days_103f, hi_days_125f Number of days per year with NWS Heat Index in Extreme Caution (>90°F), Danger (>103°F), and Extreme Danger (>125°F) categories. Cold-related Indicators Field Name Description cw_thresh Coldwave threshold [the lower of: the 15th percentile of daily average temperature over the climatological coldest 2 months (1985-2014) or -10°C (14°F)] cw_freq Number of cold wave events per year. cw_len Total number of cold wave days per year. wc_days_m25c, wc_days_m40c Number of days per year with Wind Chill Index below -25°C (-13°F) and -40°C (-40°F). tn_below0c Number of days per year with daily minimum temperature below 0°C (32°F) ft_freq Number of freeze-thaw cycles per year (days where daily maximum temperature > 0°C and daily minimum temperature 0.6. Version History: V1.1-complete (2025-12-07) Initial Release of the full SCOPE-ERA5 daily timeseries V1.1-subset (2025-12-07) Updates: Added separate tracking of daytime and nighttime heatwaves to capture locations experiencing divergent trends (e.g., increasing nighttime heat stress without corresponding daytime changes) Fixed calculation error in coldwave and freeze-thaw cycle indicators Format change: NetCDF (.nc) format discontinued for climatological indictors. All future releases will use Excel (.xlsx) format only for indicators. Note: UK daily timeseries data unchanged from previous version. V1.0-subset (2025-06-30) Initial Release 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
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