SolarAnywhere® Data
Precise, bankable solar irradiance data
SolarAnywhere is the most trusted, accurate and validated solar resource dataset available
- Reduce risk in selecting project locations and secure the best financing terms
- Model long-term energy production and financial performance with confidence
- NEW! Take advantage of the industry’s first available climate and atmospheric datasets for standard scenario comparisons, smoke-related performance analyses and long-horizon context
Features
Reliable and Consistent Results
Confidently compare project sites using satellite-derived, built-for-solar data that is generated with globally consistent and rigorously tested methodologies
Globally Validated Accuracy
Depend on data that is thoroughly validated and versioned for comparability and repeatability, with published low uncertainty and trusted by hundreds of enterprise-class customers
Precision Across Space and Time
Accurately model solar project performance with sub-hourly, high-resolution data that represents actual conditions at a project site—not just averages, synthetic data or ground measurements from nearby sites
New Specialized Climate Datasets
Upgrade to access PV-tool-ready datasets that support standard scenario comparisons (CMIP6 SSP), smoke-related performance deviation analyses and long-horizon context
SolarAnywhere V4.1 and New MeteoLens™ Climate Datasets
Learn about V4.1 advancements—and how MeteoLens extends yield and risk analysis across historical and future conditions.
Be the first to see deeper into the past—and future—with MeteoLens™
Available as a per-location upgrade to any Typical Year, Typical Year+ or Sites license via the SolarAnywhere Data portal.
Scenario-Based Climate Projections
Run consistent “what if” analyses with location-specific climate projections out to 2099 that are aligned with CMIP6 Shared Socioeconomic Pathways (SSPs).
Select from annual, monthly and daily outputs, as well as hourly profiles suitable for PV engineering analyses. Features include:
- Generated with proven SolarAnywhere downscaling algorithms
- Multiple scenarios supported, including SSP1‑2.6, SSP2‑4.5, SSP3‑7.0 and SSP5‑8.5
Historical Smoke-Related Irradiance Impacts
Quickly separate smoke‑driven irradiance loss from other drivers to support performance diagnosis when output deviates from expectation.
MeteoLens time-series datasets use proven clear-sky irradiance modeling to quantify attenuation and estimate irradiance loss attributable to wildfire smoke—enabling smoke-event performance attribution.
Extended Historical Summary Datasets
Gain long-horizon context—back to 1960—in one view without processing decades of raw time-series data.
Use MeteoLens annual and monthly rollups to spot multi-year shifts and threshold-based trends. Data variables include:
- Irradiance/insolation
- Temperature
- Precipitation
- Wind
Ready to Give SolarAnywhere a Try?
Register to access SolarAnywhere Public data—including Typical Year, Typical Year+, Sites and MeteoLens data— at select locations around the world at no cost.
Historical Data License Types
Sites (Time Series)
Access the most comprehensive, bankable data for PV project financing and asset management, including time-series and high-resolution Typical Year+ data.
Historical Data License Comparison
Typical YearSee Pricing |
Typical Year+See Pricing |
SitesSee Pricing |
PublicGet Started |
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| Data Types | ||||
| Average Year Summary |
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| Hourly TMY (8760) |
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| Sub-hourly TMY (30, 15, 5, 1 min) |
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| Time Series |
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| Monthly Aggregations |
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| Probability of Exceedance (PXX) |
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| Details | ||||
| Data Version | V3.4 – V4.1 | V3.4 – V4.1 | V3.4 – V4.1 | V4.1 |
| Uncertainty | See SolarAnywhere Validation | See SolarAnywhere Validation | See SolarAnywhere Validation | See SolarAnywhere Validation |
| Global1 Datasets +/- 60 Degrees |
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| High Latitude Data +/- 80 Degrees |
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| Time Period1 | 1998 – prior year | 1998 – prior year | 1998 – current hour | 1998 – current hour |
| Spatial Resolution | ||||
| Standard Spatial Resolution (10km) |
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| Enhanced Spatial Resolution (1km) |
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| High Spatial Resolution (500m) | Available with upgrade | Available at select locations | ||
| Temporal Resolution | ||||
| Typical year temporal resolution | 1 hour | 1, 5, 15, 30, 60 minute | 1, 5, 15, 30, 60 minute | 1, 5, 15, 30, 60 minute |
| Time-series temporal resolution | N/A | N/A |
Standard: 15, 30, 60 minute Enhanced: 5 minute with upgrade |
Standard: 15, 30, 60 minute Enhanced: 5 minute with upgrade |
| License Access Term | 1 year | 1 year | 1 year | Free for limited (Public) locations |
| API Access | License tier dependent | License tier dependent | License tier dependent | N/A |
| Pricing | ||||
| Single Sites | $500 USD | N/A | Up to $2,200 USD | Free for limited (Public) locations |
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New! MeteoLens™ Upgrade |
$2,000 USD 1 location |
$2,000 USD 1 location |
$2,000 USD 1 location |
N/A |
| Unlimited Data Portal Access |
Sign In or Contact Us |
Sign In or Contact Us |
Learn More | Free for limited (Public) locations |
| ePay Online |
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N/A |
| Enterprise Agreements | Learn More | Learn More | Learn More | N/A |
1See SolarAnywhere Geographic Coverage Area for more details.
Data Fields
Data Fields
Typical Year |
Typical Year+ |
Sites |
Public |
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| Data Types | ||||
| GHI |
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| DNI |
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| DHI |
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| Clear sky irradiance |
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| Modeling (API & UI) | ||||
| Average plane-of-array irradiance (POAI) |
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| Soiling losses |
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| Snow losses |
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| Modeling (API only) | ||||
| AC energy (kWh) |
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| AC power (kW) |
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| DC power (kW) |
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| Clear sky power (kW) |
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| Full PV System Modeling in API |
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N/A |
| Time-series plane-of-array irradiance (POAI) |
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| Fixed tilt, single-axis trackers, backtracking |
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| Bifacial PV |
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| Weather | ||||
| Temperature |
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| Wind speed |
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| Wind direction |
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| Wind gust |
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| Relative humidity |
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| Precipitation |
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| Particulate matter |
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| Geography | ||||
| Elevation |
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| Surface albedo |
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| High-resolution (30m) far-horizon shading |
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Customer Stories
Site-Adaptation Studies
Combine your ground-based measurements with SolarAnywhere® irradiance data to reduce the uncertainty of your solar resource assessments and increase project profitability.
SolarAnywhere Site-Adaptation (Ground-Tuning) Studies use an advanced site-adaptation methodology to tune long-term solar resource data to your ground-based measurements.
SolarAnywhere Data Resources
Blog
The SolarAnywhere® horizon is expanding: V4.1 & new MeteoLens™ enable long-term climate risk assessment
SolarAnywhere® V4.1 increases accuracy at hourly, monthly and annual timescales—giving users greater confidence in project finance. MeteoLens™ adds a first‑of‑its‑kind capability for asset owners to quantify and finance projects, while accounting for the long‑term...
Turning Solar Resource Uncertainty into Financial Value: New SolarAnywhere® Site‑Adaptation Report
Accurate solar resource data is the foundation of every successful solar project. Even small differences in resource estimates and data uncertainty can have outsized financial implications, influencing both downside risk and potential upside through improved project...
Unlock Accurate Clipping Loss Analysis with 1-minute Typical Year Data
Clean Power Research® is excited to introduce SolarAnywhere® high-resolution Typical GHI Year (TGY) and Typical DNI Year (TDY) datasets at 1-minute and 5-minute temporal resolutions. By leveraging AI-powered downscaling algorithms, these datasets deliver highly...
Frequently Asked Questions
Additional questions? Visit our FAQ page for more answers to commonly asked questions or contact us.
What is typical year?
Typical year is a year of hourly meteorological data for a specific location derived from years of historical time-series solar resource data. These data files are commonly used for solar resource availability assessments at potential project sites or running energy simulations to obtain P50 solar production estimates.
SolarAnywhere typical year data can be downloaded or requested as either a typical GHI year (TGY) or typical DNI year (TDY) file. These files contain a years’ worth of hourly observations (8760 hourly observations) selected with 100% weighting on either GHI or DNI. The files are generated for a specified location using the following two-step process:
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- The long-term average monthly total irradiance is calculated for each month. The years considered in calculating the long-term averages is dependent upon the geographic data region:
- The actual months in the historic record with the monthly total irradiance values closest to the long-term averages calculated in step 1 are included in the TGY or TDY files.
- The long-term average monthly total irradiance is calculated for each month. The years considered in calculating the long-term averages is dependent upon the geographic data region:
The final TGY or TDY file will include 12 months of actual data from various years in the historical time series. For example, if January of 2010 has the monthly total irradiance closest to the long-term average monthly total irradiance for all Januarys as calculated in step 1, it will be included in the file. This is illustrated below.
To learn more about Typical Year data, visit our customer support center.
Why choose Typical Year+?
Watch this short video to learn about the SolarAnywhere Typical Year+ license, which enables access to Typical Year and Average Year Summary irradiance and weather data at the highest native spatial resolution available.
Reduce solar power forecast uncertainty with SolarAnywhere® Forecast
Solar forecasting solutions for the diverse needs of the solar power industry and utilities. SolarAnywhere Forecast is the solar industry’s leading irradiance forecast paired with trusted PV simulation.