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2024‐09‐26
Michael Levy edited this page Sep 26, 2024
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3 revisions
- Updates
- ADF climatology presentation
- x4c climatology presentation
- Climatology in CUPiD discussion
- Updates:
-
manage_externals
-> git submodules [updateREADME
with advice for updating existing sandboxes]
-
- Discussion:
- ADF
- monthly climatology calls
scripts/averaging/create_climo_files.py
- inputs are time series files
- parallelizes by variable
-
process_variable()
does the heavy lifting- currently hard-coded for time bounds as CAM, but CUPiD should have code for other components
- may want to support daily climo
- monthly climatology calls
- x4c
- also does time series -> climatology
- create a
Timeseries Case
object - call
gen_climo()
- can regrid on the fly with this
- can specify specific variables, or just a component
- create a
- For seasonal / annual, currently does straight mean rather than weighting by day
- Currently seasons are hard-coded (DJF, etc) -- sea ice might prefer flexibility to look at JFM, ...
- also does time series -> climatology
- geoCAT also offers general climatology generation tools, but might not handle CESM's time bounds correctly
- xarray has resampling, but Dave B had trouble: wanted to reshape from (1200 months,
x
,y
) to (100 years, 12 months,x
,y
) but xarray couldn't get there - Questions / next steps:
- Should we compute all time series and then move on to climatologies, or compute time series and climatology one variable at a time?
- ADF team will put together a key metric notebook that looks at a couple plots (including climatology)
- ADF