Introduction to Solargis API

  • Published on Apr 16, 2025
  • 1 minute(s) read
  • MK

Introduction to Solargis API

The Solargis API provides robust tools for accessing high-quality solar and meteorological data, enabling users to perform advanced analyses and simulations. It offers two primary endpoints each tailored to specific use cases:

  • Solargis Timeseries API 

  • Solargis TMY API

Solargis Timeseries API

The Solargis Timeseries API is designed for asynchronous access to historical solar and climate data for specified geographical locations. It supports multiple temporal resolutions, including 15-minute (PT15M), 60-minute, daily, monthly, and yearly (P1Y) intervals. The starting date of the time series depends on the geographical location, which can be verified using the time series coverage map.

This API includes several endpoints:

  • Main endpoint: Submit requests for data calculations.

  • Status tracking endpoint: Monitor the progress of calculations.

  • Result access endpoint: Retrieve URLs for downloading completed datasets.

  • Subscription details endpoint: Check subscription information.

Additionally, integration endpoints are available for development purposes without affecting your subscription budget. These endpoints are limited to a single integration request and cannot be customized.

Solargis TMY API

The Solargis TMY API specializes in providing Typical Meteorological Year (TMY) data derived from multi-year time series for specific geographical locations. TMY data is essential for photovoltaic (PV) simulation software like PVsyst, which uses up to 8760 hourly values of solar radiation and meteorological data as input for energy simulations. To streamline this process, Solargis generates TMY files compatible with PV simulation software, supporting scenarios such as P50, P90, and other probability of exceedance levels.

Available temporal resolutions

Available temporal resolutions for TMY data include 15-minute and 60-minute intervals. These datasets are optimized for energy modeling and simulation tasks, helping users improve accuracy and efficiency in their analyses.