I am using ERA5 daily statistics application to get daily stats for 2m_temperature since 1950. After that I update daily stats using ERA5 hourly dataset.

I use CDS api for both cases. For stats following instructions for project app-c3s-daily-era5-statistics and for ERA 5 using dataset reanalysis-era5-single-levels with 'reanalysis'

But there seems to be gap for older years. Also 1950 seems to have larger gaps that 1970. after 1980 the calculated numbers are much more closer.

I am not sure where is the gap, but seems like I cannot combine stats app data and calculate stats from ERA5 hourly data and put that into same dataset as timeseries.

Let me know, if anyone knows a solution to this. Otherwise, it seems like I need to calculate stats from ERA5 hourly starting 1950, which will much more time I assume

• 1980 : The value gaps for various regions seems in normal gap due to difference in floating point calculation
  • Stats application

• • ERA5 hourly data

• 1970: The value gaps seems to be much more
  • Stats app

• • ERA5 hourly

• 1950: Same here, the gap seems to be much more than floating point variations
  • Stats app

• • ERA5 hourly