Re-Analysis Data
Re-analyses represent global model data calculated back over a definite time period, in which monitoring data is assimilated. The data normally covers a long-standing, climatologically relevant time period from 1979 to the present day. Re-analysis data for diverse application purposes is available to us:
MERRA stands for Modern Era Retrospective Analysis for Research and Applications. The MERRA re-analysis data has been developed by NASA with a 6-hourly assimilation of monitoring data. The spatial resolution is 1/2° in a North-South direction and 2/3° in a West-East direction with 72 vertical layers. The data is provided in an hourly resolution.
ERA-Interim has been developed by ECMWF. The re-analysis data is assimilated with monitoring data every 12 hours and has a spatial resolution of 0.75 ° x 0.75° (~ 80 km) and 60 vertical layers. The temporal resolution is 3 hours.
The NCEP Climate Forecast System Re-analyses(CFSR) developed by NOAA have a coupled atmosphere/ocean/polar-ice system and are available with a spatial resolution of 0.5° x 0.5° (~ 38 km) and 64 vertical layers. The data is resolved hourly.
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Climatological Time Series
Climatological time series serve for recognising annual cycles, seasonal fluctuations and trends of meteorological parameters and are very important as a basis for wind energy forecasts in the area of risk management. This data is indispensable for insurance companies and investors. EuroWind can provide them.
We can use re-analysis data to compile climatological time series of meteorological variables such as "wind speed", "wind direction", "temperature" and "air pressure". This is possible both for individual locations worldwide as well as for national regions, for example Germany (also individual control zones), Great Britain, Denmark or Austria. Based on this data, we generate synthetic capacity graphs and capacity utilisation curves of individual wind and solar power plants for any time series between 1979 and 2015. The variability of the wind energy yields can also be determined via special methods. In short: The climatological time series provided by us keep you ideally informed about past weather progressions