Hi everyone!
I'm using ERA5 land hourly and I want to obtain anomalies for 2017, considering:
- the convention of 30 years, from Jan 1981 to Dec 2010
- a range closer to 2017, from Jan 1991 to Dec 2020
My variables are 2m temperature, total precipitation and runoff.
I found a way to obtain it through the how-to guides in CDS Toolbox documentation, I made some modifications in the Toolbox editor but it did not work, in fact the console reported -what I understood- various errors.
Intuitively, the process I made was the following:
- Download data for a variable (2m temperature) and a year (2017)
- Convert units, in this case Kelvin to Celsius
- Convert time, hourly to daily values through average
- Compare values between the 30 years (1981-2010) and 2017
- Obtain daily anomalies in temperature in Celsius for the whole year
Looking for other alternatives, I would like to know the way to do it in Python.
If anyone knows, please share it. I will appreciate it!
