Published December 23, 2025 | Version v1.0.0
Dataset Open

Annual Hourly Climate Profiles: Typical Meteorological Year and Standard Year Profiles in California with Dynamically-Downscaled Climate Models

Description

Pre-generated annualized hourly climate profiles at California HadISD station locations (airports), consisting of Standard Year and Typical Meteorological Year (TMY) profile datasets. Produced by the Cal-Adapt: Analytics Engine team. 

Included profiles:

  1. Typical Meteorological Year (TMY) profiles: One year of hourly data that represents the median weather conditions for a location over a climatological period. A TMY is built from ten specific weather variables that are weighted in compliance with TMY standard methodology. TMYs statistically assess the median conditions from 30 years of model data and select the most “typical” month for each month during a year. These are then compiled into a single climate profile. The resulting TMY file includes multiple variables and has very specific formatting requirements. Both historical and future TMY (FTMY) 8760s are available. TMY files are organized by weather station. Data formats: .EPW and .csv.
  2. Standard Year profiles: One year of hourly data that represents any desired statistical percentile of weather conditions for a location over a 30-year climatological period. A Standard Year builds a climate profile for each climate model on a single variable and can be used to evaluate both median and extreme conditions by selecting appropriate percentiles. Both historical and future Standard Year 8760s are available. 5 variables are pre-generated: Air temperature, relative humidity, wind speed, surface radiation, and heat index. Standard Year files are organized by variable. Data formats: .csv.

Accompanying Guidance: https://analytics.cal-adapt.org/analytics/methods/climate_profiles/

Custom profile generation: https://github.com/cal-adapt/cae-notebooks/blob/main/climate-profiles/custom_climate_profiles.ipynb

Files

Standard Year Profiles CA.zip

Files (971.7 MB)

Name Size Download all
md5:ff76df781f0f139ed082b824a7a87166
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md5:3c634a21b5668cfdc92705b28d92cafe
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Additional details

Software

Repository URL
https://github.com/cal-adapt/climakitae
Programming language
Python
Development Status
Active