Open rbeucher opened 1 day ago
Have requested membership of this project to investigate.
Existing CMIP6 Intake-ESM catalog, so no new builder should be required. However, there isn't a metadata.yaml for this experiment (https://access-nri-intake-catalog.readthedocs.io/en/latest/management/building.html#metadata-yaml-files).
@rbeucher who would be the best person to add one for this experiment?
I am not sure how @dougiesquire did for the fs38, oi10 etc collection. It should be similar.
It's interesting, the config files inside access-nri-intake-catalog
reference metadata.yaml
for those experiments that don't exist. I'm trying to work out if they're just dummies to keep the system happy, or if they did once exist but now aren't needed for some reason.
They should exist. If they don't it sounds like they could've been accidentally deleted... I can take a better look later today
@dougiesquire the CMIP5 and CMIP6 experiments all refer to yamls stored in /g/data/tm70/intake
, which doesn't exist. A search shows that there are a few metadata.yaml
hiding within /g/data/tm70
, but nothing that access-nri-intake-catalog
appears to reference.
Hmm, that folder used to exist. I guess it's been deleted (possibly by me??).
It should be possible to recreate the contents of the metadata.yaml
from the latest (or prior) version of the catalog. E.g. something like:
catalog["cmip6_fs38"].metadata
NCI has changed the way they deploy intake catalogs. They are now in each collection. That might be what is happening here.
I'll shift the missing YAMLs into a new issue. Meanwhile, I think there's enough information in the existing catalog.json
to be able to construct a sensible metadata.yaml
myself. Should I put it in a 'master' folder under tm70
, or drop it in the same place as the catalog? I presume the latter, but I'm nervous about touching data archives without explicit permission.
Description of the data product
BARPA Projections contains a moderate-resolution and a kilometre-scale regional climate projections over Australia and surrounding regions. The current collections are developed based on CMIP6 global climate projections. It consists of an ensemble of historical and future climate model fields. It can be used for climate research, impact modelling, developing climatology products, and future likelihood products, driving downstream impact modelling (e.g., hydrological, coastal, and fire), for case studies and stress testing of environments, infrastructure and assets under different future scenarios.
Location of the data product on Gadi
NCI intake catalog available in /g/data/py18
Checklist
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