-
Precipitation nowcasting using transformer-based generative models and transfer learning for improved disaster preparedness
https://www.sciencedirect.com/science/article/pii/S1569843224003169
-
Apologies if I am annoying, but something I did not think about when discussing the package title last time (#72) is that the term "hierarchical nowcasting" is ambiguous. We are here referring to "hie…
-
For example, MetNet-3 is a nowcast: https://arxiv.org/abs/2306.06079
-
This should not be here, the model needs to be re-trained and evaluated again.
https://github.com/kinit-sk/softec-lagrangian-nowcasting/blame/83c6a529187589ee88d7da18d3403e098dcdc71f/models/LUMIN/L…
-
At the moment the package supports using `loo` to produce estimates of the leave one out information criterion. This is not appropriate for most nowcasting tasks where the aim is to nowcast future dat…
-
Dear Cosimo
I hope this message finds you well. I am writing to express my fascination with your work on "Deep Dynamic Factor Models" and its application in "Encoding the US Economy in Real Time." …
-
Hello,
In the paper "Skillful Precipitation Nowcasting Using Deep Generative Models of Radar" you made use of an importance sampling scheme to increase the frequency with which crops with rain wer…
-
Submitting Author Name: Sebastian Krantz
Submitting Author Github Handle: @SebKrantz
Other Package Authors Github handles: @rbagd
Repository: https://github.com/SebKrantz/dfms
Version submitt…
-
- [x] Rename the current validation directory to outcomes as it plots outcomes, and create a new validation directory.
In this directory, we can have separate R Notebook scripts for each of the fol…
-
## Detailed Description
At the moment, for each ML example, we ask our ML models to directly predict total solar PV power generation for an entire _region_ of the country (specifically: a region th…