SolarAnywhere Comparison

Solcast is independently validated as the lowest uncertainty solar resource dataset
Historical and Tmy

Solcast vs SolarAnywhere

SolarAnywhere is a long-running commercial source of satellite-derived irradiance data, with a regional focus on North America. SolarAnywhere’s more expensive 1km data over North America is generally considered bankable by the industry. However, amongst commercial providers, SolarAnywhere is the least extensively and least independently validated data source. Compared with SolarAnywhere, Solcast has lower uncertainty, more validation, is faster to access, and is generally cheaper and easier to use.

About SolarAnywhere

SolarAnywhere is a data offering by US company Clean Power Research. The company focuses on a wide range of services and software related to electricity and utilities, with a particular focus on California and the United States.

Commercial and Technology

SolarAnywhere and Solcast are both sources of global historical data and TMY. Solcast is considered globally bankable, whereas SolarAnywhere’s bankability is limited to its 1km dataset in North America. Solcast tends to be lower cost (except for SolarAnywhere’s degraded 10km offering), and is free to test all products with instant access, compared to SolarAnywhere where testing is more limited and not instant.

Data Features and Capabilities

Solcast
SolarAnywhere
Bankable? North America only, 1km data only
Free trial with instant access and data download?
Download wait time 1-3 seconds 5 minutes
Comprehensive, global, independent validation
Finest time resolution of satellite-based irradiance 5 minutes 5 minute
Real time data available?
Excludes older, less reliable satellites

Inputs and Algorithms

The SolarAnywhere and Solcast methodology is relatively similar. Both are semi-empirical and are satellite-derived. Both rely on validated, published models to build a clear sky model, and use proprietary cloud detection models. The input satellite imagery is similar, with SolarAnywhere using approx. 1-10km grids and Solcast using approx. 1-2km grids. The SolarAnywhere database is compiled using high-resolution new satellites, and lower-resolution, pre-21st century satellites. Data coverage begins in 1998. Solcast only uses data from recent generation geostationary meteorological satellites (GMS). We do not use data prior to 2007 due to climate change and satellite data quality issues . This maximises data quality and validity, while still providing 15+ years of data history from which to sample for interannual variability.

Validation and Accuracy

SolarAnywhere and Solcast are very different in terms of validation. Solcast has 200+site global and independent validation, while SolarAnywhere has only 54 site non-independent validation (which is focused on American sites that have been repeatedly used for model calibration). The SolarAnywhere validation is not sufficient to accurately measure its uncertainty in terms of bias spread. Even on the available information, Solcast is more accurate and has lower uncertainty than SolarAnywhere data. Compared to SolarAnywhere, Solcast has lower hourly RMSE, less bias in DNI, and about the same (near zero) bias in GHI.

A paper published in 2024 by Dr A. F. Almarshoud, available here, assessed the accuracy of SolarAnywhere data in comparison with SolarGIS and Solcast data across 6 sites in Saudi Arabia. The study concluded "the values predicted by the SUNY (SolarAnywhere) model are less accurate than those predicted by SolarGIS and Solcast models for both GHI and DNI."

Meta analysis of large global validation studies: GHI results

Solcast SolarAnywhere
Performed by DNV SolarAnywhere
Year published 2023 2023
No. of sites 207 53
Mean Bias +0.33% +0.01%
Bias Std. Dev. ±2.47% ±2.13%
80% CI Bias (10% to 90%) -2.84% to 3.50% Not Published
90% CI Bias (5% to 95%) -3.74% to 4.40% Not Published
Mean nMAD (nMAE) 10.33% 12.20%
Std. Dev. nMAD (nMAE) ±3.72% Not Published
Mean nRMSD (nRMSE) 15.99% 20.60%
Std. Dev. nRMSD (nRMSE) ±5.74% Not Published

Meta analysis of large global validation studies: DNI results

Data source Solcast SolarAnywhere
Performed by DNV SolarAnywhere
Year published 2023 2023
No. of sites 117 45
Mean Bias +1.50% +3.0%
Bias Std. Dev. ±5.75% ±6.2%
80% CI Bias (10% to 90%) -5.87% to 8.86% Not Published
90% CI Bias (5% to 95%) -7.96% to 10.95% Not Published
Mean nMAD (nMAE) 19.97% Not Published
Std. Dev. nMAD (nMAE) ±5.94% Not Published
Mean nRMSD (nRMSE) 31.51% Not Published
Std. Dev. nRMSD (nRMSE) ±9.99% Not Published

Historic Data Products

Time Series
The complete suite of irradiance and weather data required for effective monitoring, operation, and forecasting at your large-scale solar farm.
Typical Meteorological Year (TMY)
The complete suite of irradiance and weather data required for effective monitoring, operation, and forecasting at your large-scale solar farm.