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hi Georgy:
I feel so excited on your Rainymotion project. I believe that it will give me great help in the field of nowcasting.
However, I find it a little bit difficult in preparing suitable input …
ghost updated
4 years ago
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I am a graduate student majoring in deep learning. I am also reproducing this Nature paper and have finished the code work. I want to talk to you about the code. This is my code address:https://gi…
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Hello,
I found the pySTEPS visualization functions very useful, but I need your help with something.
I read the recent [paper](https://doi.org/10.1002/qj.4461), titled "Scale-dependent blending …
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I've looked into it here for SatFlow: https://github.com/openclimatefix/satflow/issues/7 it seems we can read in the Nimrod files from the Met Office using [iris](https://scitools.org.uk/iris/docs/v2.…
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![image](https://github.com/chengtan9907/OpenSTL/assets/87475993/a181ac30-087b-4bd0-a3c3-2918b10809df)
I tested TAU on MMNist with the following config(the model part is copied from this repo):
hid_…
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### Steps to reproduce
Not sure if it would happen with anyone else, but...
1. Set location.
2. Set Open-Meteo for every source.
3. Enabled precipitation nowcasting card.
4. Check the screen,…
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As mentioned in issue #333, there's currently no way to do a "control" or deterministic run (unperturbed) for the blended nowcast. However, this would be useful (or even necessary) for the visualisati…
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Various ones to try include https://github.com/thuml/predrnn-pytorch and ConvLSTMs, and potentially GANs as shown in https://arxiv.org/abs/2104.00954
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As part of the https://github.com/metoppv/improver/issues/1998 work on moving CLI logic to the plugin layer to ultimately access plugins directly rather than via the CLI, this open up a necessary plic…
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I wonder if it is possible to use prediction for one of my features as `time_variing_known_reals`
Let us assume that, based on historical data, I would like to forecast energy production for the ne…