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### Steps to reproduce
1.See Precipitation Nowcasting
2.Click on the chart
### Expected behavior
Nothing is left when you loosen it.
### Actual behavior
There's a line.
### Weather …
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What are the paths '**HKO_PNG_PATH**' and '**HKO_MASK_PATH**' in config.py used for?
Are they temporary directories and supposed to be empty before running , or supposed to be filled with some inpu…
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Precipitation nowcasting using transformer-based generative models and transfer learning for improved disaster preparedness
https://www.sciencedirect.com/science/article/pii/S1569843224003169
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related paper
|摘要|
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|The goal of precipitation nowcasting is to predict the future rainfall intensity in a local region over a relatively short period of time. Very few previous studies have…
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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…
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* Mutual Information Boosted Precipitation Nowcasting from Radar Images
* StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model
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The proposal is to insert the Nowcasting Model PhaSt in the pySTEPS package.
PhaSt (phase-diffusion model for stochastic nowcasting) is a stochastic nowcasting model that uses as input the most rece…
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Sorry to bother you.
I trained Prediff on my own dataset and found the result quite bad. I guess the reason behind should be data imbalance which is commonly observed in precipitation nowcasting.
I …
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Problems with pseudocode for Skilful precipitation nowcasting using deep articles
I would like to ask a question about pseudo code, in class layers SNConv3D=snt.wrap_with_spectral_norm(snt.Conv3D,…
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For other nowcasting applications, such as precipitation, the training data is usually sampled so that rainfall exists or is above some threshold in every, or nearly every input sample. This ensures t…