Comments (2)
per @claudiatebaldi would expect jointly estimated and jointly sampled.
@abigailsnyder will
- update the code in
data_raw
to jointly estimate - 24 parameters to get a joint multivariable beta distribution of T and P fractions. And add more documentation to those functions. - refit the models.
- open a PR
Then go back into the monthly_downscaling
code and update sampling to be joint, as well as adding options outlined in #16
from an2month.
In terms of updating the sampling to be joint, it looks like the separate sampling for each variable is happening in the cassandra components code:
https://github.com/JGCRI/cassandra/blob/master/cassandra/components.py Lines 964-977
Which explains why it's harder to tell from the R monthly_downscaling
sampling code that the variables are being treated separately than in the data_raw/...
training code.
So the R code will have to be updated for the sampling but then the cassandra code will also have to be updated, FYI @crvernon
from an2month.
Related Issues (15)
- raw-data processing HOT 1
- Apply monthly fractions to pr as average, not total
- Update names of package data
- check december to january for consistency
- check variability of seasonal signal across GCMs, Scenarios, time, etc
- add other sampling schemes HOT 1
- Correct the documentation of function `monthly_downscaling`
- double check data provenance HOT 3
- monthly fraction CDO functions used HOT 1
- diagnostics HOT 2
- general workflow documentation for the package HOT 1
- Add documentation HOT 2
- conversion.R enhancements
- Xanthos unit conversion & Cassandra HOT 1
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from an2month.