Mesoscale wind data for MCP and site screening
- ready in seconds

Get 20 years of hourly wind time series, precomputed at 2 km resolution and 10 heights

Whiffle Atlas is trusted by industry leaders

Need more data to improve MCP and site screening?

Whiffle Atlas provides 20 years of hourly wind time series at 2 km resolution and 10 fixed heights (up to 500 m). It offers a reliable long term reference - especially useful in coastal, nearshore, and complex terrain where standard reference datasets may fall short. Download our mesoscale data instantly, and use it directly in your existing workflows.

Start with a free trial

Get full access for 30 days and download 5 mesoscale datasets, at locations of your choice. Compare sites, cross-check reference datasets, or validate MCP fits with your own data.

Whiffle Atlas is currently available for Europe, the US, Australia, Japan, and Korea, with additional regions in development. Pick any site in these regions for your free trial, or request coverage for a location you don’t see yet.

Accuracy matters, especially
when you're long-term correcting

A near-zero wind speed bias and narrow error spread

Whiffle Atlas is powered by the Whiffle Meso model, and has been comprehensively benchmarked in a global validation covering 170 sites and 300 met masts. 

  • Validation results shows a mean wind speed bias of just 0.07 m/s and a standard deviation of 0.48 m/s – a tight error profile that reflects strong alignment with actual measurements.
  • This reduces long-term uncertainty and improves confidence in your MCP correction, especially in complex or data-sparse environments.
"A major step forward in long-term wind modelling"

"Atlas is a major step forward in long-term wind modelling – driving deeper understanding of long term trends for projects dominated by mesoscale effects and terrain induced complex flows. Alongside the Whiffle LES model, it has improved the consistency and accuracy of our predictions, reducing uncertainty in our wind resource assessments, and helping reduce long term project risk."

-Jeffrey Snyder, Snr Wind Resource Analyst (GE Vernova)

Trusted for accuracy, chosen for speed, scale, and usability

Data is ready in seconds

Whiffle Atlas data is precomputed and instantly available. Just drop a pin and download your dataset. Quickly validate, compare, and iterate across multiple sites.

Key heights and variables are resolved and available

Get hourly data at 10 fixed heights (up to 500 m), with key variables including wind speed, direction, pressure, density, and stability indicators – delivered in one file.

 

Affordable access for portfolio-wide screening

Access starts at €450 per download, with discounts for volume or regional bundles. Export datasets in NetCDF or CSV, ready to use in WindPRO, OpenWind, or your internal tools. API access is also available.

Access options

Whiffle Atlas is accessible via a UI or API. Integration with partner apps coming soon.

Web application

Log-in to the Whiffle Atlas web application, pick your location, drop a pin and get your data in seconds.

API Client

Whiffle Atlas is available programmatically through our REST API – with an official Python SDK for developers.

Pricing

From free trials to portfolio-scale access – choose the plan that fits your workflow.

Free trial

Per-site lookup

Discounts

Frequently Asked Questions 

What is Whiffle Atlas?

Whiffle Atlas is a validated, precomputed, mesoscale dataset offering 20-year hourly wind time series at 2 km resolution across 10 heights (2m –500 m). Built for MCP workflows and early-stage screening, it’s instantly downloadable and available today for Europe, the US, Australia, Japan, and Korea.

Whiffle Atlas provides finer spatial resolution (2 km), is precomputed, directly downloadable at 10 heights (from 10 to 500), and validated against over 300 met masts globally. 

What sets Atlas apart is its performance: across validation campaigns, it shows lower wind speed bias and higher correlation to measurements than other mesoscale datasets. That means reduced uncertainty in long-term wind estimates, especially in nearshore zones, coastal areas, and complex terrain where global models tend to underperform. 

Use Atlas as an additional reference in your MCP, alongside ERA5, or as a faster alternative to traditional on-demand mesoscale simulations. 

The Whiffle Meso model is Whiffle’s in-house mesoscale weather model, developed alongside its LES model. Like LES, it is a physics-based numerical model but it operates at a coarser horizontal resolution of 2 km. While it does not resolve turbulence directly (as turbulence is typically smaller than 1 km), it uses physical parametrisations to capture the net effects of turbulence on atmospheric flow.

This makes the Whiffle Meso model well-suited to resolve larger-scale phenomena like coastal transitions, regional wind gradients, and sea breezes. It is used both as a pre-driver for LES simulations and as a standalone engine for generating long-term wind climatologies – as in Whiffle Atlas. This allows for cost-effective coverage of large spatial domains and multi-decade timeframes.

Five site lookups: 20-year, hourly wind datasets at 10 heights for any location in the available regions. No credit card, no setup required.

Measure-Correlate-Predict (MCP)?
✅ Yes – You can download long-term, hourly time series at mast or LiDAR locations for bias correction.

Horizontal extrapolation across turbine sites?
⚠️ Limited – Atlas can show wind gradients at 2 km resolution, which is useful for early-stage prospecting. For layout-level extrapolation, use Whiffle Wind WRGs.

Site-specific fine-scale flow modelling?
❌ No – For flow modelling at turbine level or within complex terrain, use Whiffle Wind’s LES simulations at 100 m resolution or finer.

Offshore site screening?
✅ Yes – Atlas provides a long-term wind reference across offshore clusters or lease zones where measurements are sparse or unavailable.

  • Horizontal: 2km × 2 km grid. 
  • Vertical: depends on the location, but comes down to 50 m (fixed) between ground level and highest point in the region, which stretches +5% every grid point above the highest point.   

20 years of hourly values at 10, 50, 100, 150, 200, 250, 300, 400, 450, 500 m. The meteorological variables included are wind speed, wind direction, vertical velocity, air density, pressure, surface pressure, temperature, surface temperature, relative humidity, boundary layer height, turbulence kinetic energy, Brunt-Väisälä frequency squared, vertical shear squared, Richardson number, inverse Obukhov length.

No. Atlas is based on the Whiffle Meso model (mesoscale). For raw LES at 100 m resolution, use Whiffle Wind. 

You can start for free, no credit card required. Every user gets 5 free dataset downloads to test Whiffle Atlas on their own sites.

After that, access is simple and scalable:

  • €450 per site download

  • Discounted rates available for bulk lookups, regional coverage, or portfolio subscriptions

Whether you need data for one project or dozens, there’s a plan that fits.

Yes, via the Whiffle Python client: whiffle-client on PyPI.

Yes. Whiffle Atlas currently covers Europe, the United States, Australia, Japan, and Korea — with more regions in development. If your project site falls outside these areas, reach out to us directly via support@whiffle.nl. Custom regions can often be added based on demand or generated upon request.

Not yet, but this feature is planned to be released soon.

No. By default Atlas delivers the time series for the last 20 whole years, which currently is 2004-2024. For custom domains or periods, use Whiffle Wind. 

Time series output in .csv and .netCDF are available today. Statistical and gridded output in the form of a WRG export is in development.

Yes, particularly for extrapolation across turbine clusters and regions with sparse measurement coverage.

Yes. The Whiffle Meso model accounts for terrain and land–sea transitions at 2 km scale, improving representativeness compared to coarser reanalysis.

You can get started with creating your account, by filling in this form.

Contact

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2629 JD Delft

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