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- [x] update code to pull data
- [x] work with Debasmita to turn notebooks in to python scripts
- [ ] use a produced forecast to update submit_rfr.R
- [ ] investigate [package](https://github.com/eco…
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### Description
`mlforecast` currently allows for recursive single-model forecasts, or direct multi-model forecasts where a single model is trained to predict a particular data point in the horizon…
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- [ ] 1. fix standard deviation calculation:
https://github.com/noaa-onms/climate-dashboard/blob/79ab5430d177421e78bd251e8c9909ab0c73db57/scripts/process_nc.R#L35-L37
- [ ] 2. get ranges to matc…
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According to the documentation, the predict_is() function using ARIMAX seems to perform in-sample rolling predictions for the model. The parameter 'h' is defined as number of previous timesteps to use…
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### What is wrong?
When performing a rocotorun for 11-member 35-day GEFS, rocotorun takes an unreasonably long time to execute. This is mostly due to the large number of atmos_prod tasks in a 11-memb…
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Hi,
On page 49 of the User Manual
`5.2.4 CAMS data:`
`For enabling the use of CAMS data in Sen2Like, the database must be prepared.`
`Note
The CAMS monthly database for the Year 2020 is avai…
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We have been discussing with @tlestang about what the data collected by the carbon intensity.org.uk represents, and therefore how best to calculate the average CI over a long period of time.
The A…
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I suspect it should be possible to improve the performance for generating forecasts from recursive models by generating them in chunks rather than one row at a time.
As an example, if we've fit a r…
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similar to route_model.py where we parse gpx files for data, we need to get solar irradiance data from solcast's api.
we want the following metrics spatially and temporally.
- air_temp
- precipitati…
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**Issue type:**
[x] question
[ ] bug report
[ ] feature request
[ ] documentation issue
**Database system/driver:**
[ ] `cordova`
[ ] `mongodb`
[ ] `mssql`
[ ] `mysql` / `mariadb`
[ ] …