Historical and TMY Data

Overview

Solcast advances the state of the art in cloud and radiation modelling

The Solcast API provides high resolution (90m) and low uncertainty historical time series and TMY data for energy simulations and bankable solar resource assessments. All models use Solcast's proprietary cloud modelling, using high resolution cloud imagery to model clouds globally at 5 minute, 2km resolution. Ready to integrate via API.

Using our bankable time series data we have analysed the long term average solar availability, for every terrestrial location globally. This map shows that data, large scale solar projects globally, and validation data for the accuracy of Solcast data globally. To review Solcast historical data for your sites, you can create a Solcast toolkit account to access time series data for specific asset locations.

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GHI (Long-term average annual total, kWh/m²/yr)

Source: Solcast API, Solar Assets from Global Solar Power Tracker, Global Energy Monitor, Bankability Site Data from DNV
*Private site locations are approximated to another location in the same region and climate zone

You're in good company

What our customers say

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Adding Solcast's weather data in our hydrogen storage systems improved our control strategy that responds well to weather patterns.

Meinhard Ploner

GKN Hydrogen

Forecasts are crucial in optimizing renewable power plants with predictive controls. Solcast’s forecasts, and the resulting decisions we make with them, are front and center for our operators.

Stephen Schneider

Wärtsilä

On top of our sophisticated solar modelling, Solcast's accurate data has elevated what we already have and allowed us to expand to new geographies.

Rachel Liddell

Aurora Solar

Accurate real-time and forecasted weather data is crucial for assessing plant performance and maximizing the value of clean energy assets.

Taylor Grafton

Also Energy

Solcast's "Estimated Actuals" closes the gap for our owned and third-party solar portfolios.

Cypress Creek Renewables

As far as we know, there's no provider that can provide a more accurate forecast.

Samuel Muhr

Hymate

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Cloud Cover

Detailed global satellite observations that capture cloud cover with precision

We model local cloud cover using 1-2km grid, downscaled to 90 metre resolution to model aerosols, irradiance and terrain effects for a more precise and accurate global snapshot of historic solar irradiance.

Validation

Dataset supported by independent global validation

The data has low uncertainty and a quantified error range, making the data suitable for resource assessment, yield analysis, financial modelling, and any application requiring precision irradiance data.