Stand on the Shoulders of Giants
Access climate and weather datasets produced by world's leading meteorological agencies in seconds.
We extract and transform terabytes of raw data every day into cloud-optimized, analysis-ready format.
Access analysis-ready weather datasets used by climate scientists - without being one
80+ years of historical weather data with global coverage
Access decades of climate data in seconds without processing gigabytes of raw data
Get unadulterated weather datasets such as ERA5, HRRR, and GFS for your analysis
Trusted by the most demanding users, from Fortune 500 companies to government agencies
Access climate and weather datasets produced by world's leading meteorological agencies in seconds.
We extract and transform terabytes of raw data every day into cloud-optimized, analysis-ready format.
Download weather data to CSV - without any code and for any location
● Download forecast or decades of historical weather data as time-series in seconds
● Download most up-to-date AMY or TMY EPW file for building energy simulation
● Specify hourly, daily, or monthly data, available as mean, max, or min value
Drury B Crawley, PhD (FASHRAE, BEMP, FIBPSA) / Linda Lawrie (FASHRAE, FIBPSA)
"Using globally available solar radiation data from Oikolab, Climate One Building is able to completely revise and publish up-to-date set of TMYx files through 2021 for more than 17000 locations around the world. The quality of the data service and the support from Oikolab is superb."
Kevin J. Kircher
Mech. Engineering Professor @ Purdue University
“Worked a lot with oikoweather data this week, and it was a pleasure. Clean weather data, granular in space and time. Decades of historical data and continually updated forecasts. Easy python API, free access. Definitely recommend!”
Data analysts and researchers from these institutions trust Oikolab for weather data
A single API call can return data size ranging from 10 KB to 10 GB so we use the following definitions for metering:
1 data unit = 1 location x 1 parameter x 1 month
or
1 data unit = 1 deg lat x 1 deg lon x 1 parameter x 1 month (NetCDF)
Are you a university student or researcher? Please ask your librarian if Oikolab data is available through your library subscription.