ERA5T Support - Cloud Run Job Migration

[DarshanSP19]

In the current ARCO-ERA5, files are updated from ECMWF on a monthly cadence (on roughly the 9th of each month) with a 3 month delay. This PR added support of ERA5T, in which files are updated on a daily cadence with a 6 days delay.

This new ARCO-ERA5 working into the 3 CRON-JOB.

1. Running cron-job daily which download ERA5T data for the AR & CO(Model Level) - ( Download data -> 6 day behind the current_day).
2. Running cron-job on monthly(6th day of every month) which download ERA5T data for the CO(Single Level) - ( Download data -> previous last month).
3. Running cron-job on monthly(9th day of every month) which download ERA5 data for all - ( Download data -> Third previous month).
   • Download raw data at temp_location.
   • Compare the ERA5 data with the ERA5T & if found the difference, update it.
   • Update raw ERA5T data which downloaded through step 1 & 2 with this ERA5.

• Shifting the jobs from google compute engine to cloud run jobs.

Note: Actually we got the data 5 day behind the current_day but we took 1 day's buffer for the safety purposes.

Fix: #82

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[dabhicusp]

Update the branch name before merging this PR.

[dabhicusp]

LGTM!

[shoyer]

Using Python 3.8 is concerning to me. Python 3.8 is very old, already at end of life. This means it no longer receives security updates: https://devguide.python.org/versions/

Even Python 3.9 will soon be at end of life. We should strive to use newer versions of Python which are actively maintained.

[DarshanSP19]

Agreed @shoyer. The plan is to remove this environment.yml and Docker entirely from the repository. As most of the code is working without these on dataflow. Also we'll definitely upgrade with the newer python version and latest zarr version (v3) in future.