Time Series Data
Time series data sets from UL Solutions can help you better understand the wind resource and energy production potential for your wind project site. Available through the Windnavigator platform, use the wind map to select a location and order historical time series data or virtual met mast data to help you establish long-term wind conditions with onsite measurements, or perform analysis when onsite data is not available.
Time Series Products
WRF Time Series
The Weather Research and Forecasting (WRF) model has been the model of choice at UL Solutions to generate meteorological time series. Time series spanning 10 or 20 years are often used to adjust short-term onsite measurements to the long-term wind climate (often with Measure-Correlate-Predict), to create a typical meteorological year time series, to estimate the wind speed fluctuations from year to year, i.e., inter-annual variability (IAV), to provide necessary meteorological inputs to icing modeling, time series energy modeling, etc.
- High-resolution 3km grid spacing
- Choose 10 or 20-year periods
- Temporal resolution of 1 hour, 15-minute or 10-minute
- Enhanced parameters including turbulence and solar data
- Up to 10 points within a single WRF order
Global Reanalysis Data
Two reanalysis datasets providing historical meteorological time series going back to 1979 or 1980 are offered, namely NASA’s second version of the Modern Era Retrospective-Analysis for Research and Applications (MERRA-2) and ECMWF’s fifth generation atmospheric reanalysis (ERA5). Reanalysis datasets are primarily used for long-term wind climate adjustment together with short-term (> 1 year) wind observations at a site.
- Global coverage with decades of historical data
- Multiple meteorological parameters
Typical Year Virtual Met Mast
TY-VMM
The Typical Year virtual met mast (TY-VMM) product provides a representative year of hourly meteorological data, i.e. 8760 hourly records, from 2.5 km resolution WRF time series. The wind speeds in the WRF time series are scaled to match the mean wind speed from the Windnavigator wind maps. TY-VMMs are used to estimate the expected, i.e. typical wind resource and energy production potential of a site when onsite measurements are not available.
Key Features
Data Specifications Comparison
| Parameter | MERRA-2 | ERA5 | WRF | TY-VMM | |
|---|---|---|---|---|---|
| Regional coverage | Global | Global | Global | Continents | |
| Heights above ground | 50m | 10m, 100m | 10-300m | 10-140m | |
| Horizontal resolution | 70km | 30km | 3km | 2.5km | |
| Frequency | 1 hour | 1 hour | 10 minutes, 15 minutes or 1 hour | 1 hour | |
| Period | 1980 - present | 1979 - present | 10 or 20 years | 365 days sampled | |
| Scaled to Windnavigator wind atlas | No | No | No | Yes | |
| Standard Parameters | |||||
| Wind speed | ✓ | ✓ | ✓ | ✓ | |
| Wind direction | ✓ | ✓ | ✓ | ✓ | |
| Temperature | ✓ | ✓ | ✓ | ✓ | |
| Pressure | ✓ | ✓ | ✓ | ✓ | |
| Advanced Parameters | |||||
| Air density | - | - | ✓ | ✓ | |
| Turbulence intensity | - | - | ✓ | ✓ | |
| Stability class | - | ✓ | - | ||
| Solar (GHI, DNI, cloud fraction) | - | - | ✓ | - | |
| Relative humidity | - | - | ✓ | ✓ | |
| Precipitation rate | - | - | ✓ | - | |
| Model elevation & surface roughness | - | - | ✓ | ✓ | |
| Data format | CSV | ||||
Universal CSV Format
All time series data sets are provided in a universal CSV format that can be imported directly into spreadsheets, Openwind, Windographer, and other plant design and resource assessment software.