Met Éireann Re-Analysis – Climate Re-analysis
Climate reanalysis is a systematic approach used to produce meteorological datasets for climate monitoring and research. They are created using a fixed version of a forecast model and a data assimilation system which utilises historical observations and they produce parameters that are physically consistent and often not routinely observed. Thus, climate reanalyses have the potential to extend the knowledge gained from current observation networks.
Met Éireann has carried out a 35-year very high resolution (2.5 km horizontal grid) regional climate reanalysis for Ireland using the ALADIN-HIRLAM numerical weather prediction system (www.hirlam.org). This reanalysis spans the period 1981 to 2015 and includes surface, near-surface and atmospheric parameters and is the first of its kind for Ireland.
Overall, the model performed consistently over the 35-year time period and outperforms ECMWF’s ERA-Interim global reanalysis (http://www.ecmwf.int/en/research/climate-reanalysis/era-interim), particularly in terms of standard deviations in screen-level temperatures and surface winds.
An initial analysis of the data is published in the ASR open-access journal:
The MÉRA Data List is now available in grid format here
1-month sample of some of the data (in GRIB 1 format) can be found below (Note: these files are very large approximately 500 MB):
- mean sea level pressure
- surface pressure
- 2 m temperature
- 2 m relative humidity
- 10 m wind – u component
- 10 m wind – v component
- total precipitation
- soil temperature – level 0
- soil temperature – level 1
- soil moisture – level 1
- net shortwave irradiance
- net longwave irradiance
- longwave irradiance
- direct shortwave irradiance
- global irradiance
- direct normal irradiance
Met Éireann held its first MERA Workshop on the 17th May 2018. It consisted of presentations by a selection of users and discussion sessions where feedback, potential uses and future collaborations and plans were discussed. Further information is on our Events page here