This repo contains scripts to process and post the sea level anomaly data found at https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-sea-level-global?tab=overview. This proceeds in two steps: calculating weekly averages from the upstream daily data, and then composing these into timeseries documents in mongodb.
- branch:
main
- data preperation: all the daily upstream data from Copernicus (2021 version) in
data/
- run in the containerized environment described by
Dockerfile
withrun.sh
. - doublecheck results using
proofread.py
in the environment defined byDockerfile-proofread
- branch:
db-population
- data preparation: all results from step 1 as well as basins file in
/bulk/copernicus-sla/
- create empty
copernicusSLA
collection with appropriate script in https://github.com/argovis/db-schema; make sure sharedtimeseriesMeta
collection also exists if not already - run in the containerized environment described by
Dockerfile
withcargo run
- doublecheck results using
proofread.py
in environment defined byDockerfile-proofread