Meteomedia Energy. Weather forecasts for the entire energy value chain.
Local forecasts need local
measurements. This
applies to the energy sector as much as the weather. It is why Meteomedia operates
its own network of weather stations, which it complements by drawing on measurement
data from numerous national weather services. In Germany Meteomedia has access
to data from 1,200 weather stations; globally this extends to around 12,000.
Meteomedia‘s research and development team brings
together meteorologists, mathematicians, computer scientists and physicists to continuously
optimize forecasts, enhancing the predictability of the weather and thereby minimizing
economic risk.
Meteomedia therefore offers a clear competitive advantage in a liberalized
energy market. Precise and reliable forecasts of local weather developments
support you in analyzing your potential for optimization along the entire energy
value chain. Around 400 energy suppliers already make use of this advantage.
You too could benefit from Meteomedia products
for the energy sector:
Knowing where the wind’s blowing. Meteomedia’s wind power prediction meets the
highest quality requirements. Our predictions are based on an ideal combination
of high-resolution short-term
forecast models featuring a spatial resolution of
up to 4 km x 4 km as well as the world’s best medium-term forecast models (UKMO, ECMWF and GFS). Our
proprietary and reliable
Model Output Statistics (MOS), in use successfully for
years, ensure further forecast enhancement.
In addition to the weather
data, wind power prediction incorporates the entire location database of all
wind turbines. This means that start-up and shut-down speeds are automatically
considered. Wind power is thus predicted for up to four days in advance for any
wind parks and regions or for all of Germany.
Particularly in exposed
locations, in the German areas of the North Sea and the Baltic Sea for example,
weather events are often more extreme than on land. This is why Meteomedia has
set up a weather station measurement network of unique density in coastal
regions. The combination of our proprietary statistical forecast model (MOS)
and the world’s best weather models allow us to make high-quality forecasts
with razor-sharp precision.
