At the location of a future wind farm, measurements are often taken with a meteorological measuring mast or LiDAR to determine the local wind climate, which is necessary for financing and engineering of the planned wind farm. Given that measurement campaigns only last a year, or even less, it is necessary to compare the data with a long-term meteorological data set. During the short-term measurement campaign, for example, the wind speed may be slightly higher than the average for that time of the year. We often use ERA5 data from the preceding 15 years for this comparison. A disadvantage of the ERA5 data (and most other comparable data sets) is that, due to the time required for the verification process, the data is only available 2-3 months after the date. This results in a considerable delay in the delivery of the wind reports, which is certainly undesirable if the project is approaching financial close.
ERA5T, available since the beginning of December 2019, changes this by making the data available within five days. This allows measurement campaigns to be analysed faster, and it also makes them more flexible. For example, Pondera can now decide during the campaign whether the desired minimum uncertainty has been achieved and thereby advise whether the campaign can be shortened. This reduces the costs of measurements and increases the speed. In this way Pondera helps to make wind energy more affordable and faster to realise.
The original ERA5 model is a weather model from ECMWF (European Centre for Medium-Range Weather Forecasts) and is based on historical weather data that models the weather around the world from 1979 to the present. In contrast to the ERA5 data, the ERA5T data from December 2019 has not yet been verified, but deviations from the final ERA5 data are very unlikely, according to ECMWF itself.