Vaisala Energy Support
How was the data behind your map created?
The dataset is based on actual, half-hourly, high-resolution visible satellite imagery observations via the broadband visible wavelength channel at a 2 arc minute resolution. These data have been processed to create more than 10 years of hourly of Global Horizontal Irradiance (GHI), Direct Normal Irradiance (DNI), and Diffuse Horizontal Irradiance (DIF) at a horizontal resolution of roughly 3 km. 3TIER processes the satellite images based on a combination of in-house research and algorithms published in peer-reviewed scientific literature. These algorithms contain parameters and coefficients that are based on empirical fits to observational data. The specific satellites and length of time varies slightly by region due to differences in the availability of data from region to region. See the chart below for more details.
Regions | Satellites | Temporal Coverage |
Western Hemisphere | GOES 8 - 13 |
15 years (January 1997 - present) |
South Asia & Middle East | Meteosat 5, Meteosat 7 |
13 years (January 1999 – last quarter) |
East Asia & Oceania | GMS 5, GOES 9, MTSAT 1-2 |
13 years (December 1998 – present) |
Europe & Africa | Meteosat 7, Meteosat 9 |
15 years (July 1998 – last quarter) |
To develop and validate our model, 3TIER used observations from the SurfRad, Baseline Surface Radiation Networks, National Solar Radiation Database, Bureau of Meteorology (Australia), National Institute of Water and Atmospheric Research (New Zealand), Indian Meteorology Department, NREL Annex II, Linke Turbidity Database from Ecole des Mines de Paris, MODIS Aerosol Optical Depth and Water Vapor Datasets, and snow data from the high resolution dataset developed by the National Snow and Ice Data Center.
The basic processing scheme follows the SUNY model used by NREL with a few key improvements made within the 3TIER algorithms. These improvements include: a higher spatial and temporal resolution, an in-house developed seasonal variability correction factor, an in-house developed empirical fitting of the data to ground station measurements, and the integration of instantaneous irradiance values to determine the hourly value. Each of these improvements results in a similar bias, but a significantly lower RMSE (Root Mean Squared Error) compared to the NREL dataset. The smaller RMSE implies that our dataset is more useful as a time-series of values. In other words, our estimates of irradiance are closer to actual observed values than the NREL estimates on an hour-by-hour basis.
More Solar Online Tools Questions
- How do I enter a location?
- What's the latest month available in the solar time series tool?
- What is the Data Shown in the Solar Time Series Viewer?
- What updates were applied to the datasets in November 2019?
- Which weather data source should I pick?
- What do the Annual Mean Irradiance Tools provide?
- How do I interpret the graphs provided by the Monthly Mean Irradiance Tools?
- What solar values are shown on the map?
- Why do we show a +/- next to the annual values?
- What is Global Horizontal Irradiance?
- How can I compare sites side-by-side?
- What is Direct Normal Irradiance?
- How do I change locations for individual tools?
- What is Diffuse Horizontal Irradiance?
- Why does the map disappear?
- What are the units of irradiance?
- What affects solar radiation at a given site?
- How much area is covered by the Solar Prospecting Tools?
- How accurate are the Solar Prospecting Tools?
- What data has been created?
- How do I convert the 3TIER values to peak sun hours?
- Why does the data not match my observations?
- What were 3TIER's solar data validation procedures?
If you didn't find what you were looking for, please contact 3TIER Support for additional assistance.