Weather and Climate Data for Analysts

Access data used by climate scientists and meteorologists - without being one.
Hourly data from 1950 to 16 days ahead with global coverage.


Access weather data in seconds without searching for weather stations or processing gigabytes of raw data


Get unadulterated weather data from primary sources such as ECMWF and NOAA


Leading industry experts use OikoLab to access weather and climate data

Use Cases


Building Energy

Create custom weather files for building energy simulations

  • drybulb temperature

  • 10m wind speed

  • shortwave/longwave radiation

  • soil temperature

Try it out.


Smart Grid

Simplify grid load analysis and predict solar/wind generations

  • dewpoint temperature

  • 100m wind speed

  • urban temperature

  • heating/cooling degree days

Try it out.


Time-series Forecast

Analyze and forecast weather dependent metrics with ease

  • surface pressure

  • relative humidity

  • total precipitation

  • snowfall

Try it out.


Case Studies

Electricity Load Disaggregation

EPRI has partnered with OikoLab to develop electricity load disaggregation engine using weather and AMI meter data. The model has been validated with field data from residential sites and data shared by utilities in the U.S. and is available to EPRI's members from the Load Shape Library.


Analyzing Effects of Weather on Mental Well-being

Neurem is using weather data provided by OikoLab to assess how various components of weather, ranging from temperature and humidity to amount of sunlight, affect the mental well-being of individuals.


Weather & Climate Data for Machine Learning and AI

Omdena and OikoLab have established partnership for OikoLab to provide comprehensive global climate data  to help its collaborators build AI solutions.


Weather Condition for Running

A community of runners, RUN:TRACK:RUN is using the data provided by OikoLab to find the weather condition for running for thousands of tracks over all over the world.


Why OikoLab?

Finding the right weather data needed for your analysis can be surprisingly time consuming and difficult. We've processed hundreds of terabytes of the latest weather reanalysis dataset for fast time-series query so that you don't have to.


Imagine a typical use case for an analyst, looking to correlate weather and building energy usage history for the past three years to build a prediction model. Using weather data service designed for weather apps is not ideal for this use case.

Other weather service providers emphasize the inadequateness of public weather dataset but the truth is that all weather service providers are dependent on the same data sources. Using machine learning models, they use regression-based methods to sometimes refine the Numerical Weather Prediction (NWP) model output data to improve resolution but this process is quite opaque.

In contrast, OikoLab provides direct access to unmodified NWP data to maximise traceability. When parameters are derived or simulated, such as wet-bulb temperature or urban temperature, we indicate that they are. We provide NWP data reference time so you know how recent the data is, when the next update will be, and if needed, the data can be validated against the original source.  

Also, we focus on saving time for data analysts: instead of providing one screen-shot worth of weather data at a time, our users can quickly get all the data they need in a single API call for any location.


Our Changing Climate

The climate is changing. Let us help you understand the impact of the changing climate on your business.


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