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---
pipeline_tag: image-to-image
library_name: pytorch
license: apache-2.0
tags:
- weather-radar
- precipitation-nowcasting
- diffusion-models
- generative-ai
- deep-learning
datasets:
- maly-javornik-shmu
---
# Pretrained Checkpoints for Radar Precipitation Nowcasting Benchmark
Repository ini menyediakan bobot model (checkpoints) terlatih untuk inferensi dan evaluasi nowcasting presipitasi berbasis data radar SHMU Maly Javornik (domain 340x340 km2).
## Arsitektur Model
| Model | Checkpoint File | Ukuran | Arsitektur Dasar |
| :--- | :--- | :--- | :--- |
| **GenLUPIN** | `checkpoints/genlupin.ckpt` | ~52 MB | Lagrangian-Eulerian Score-based EDM Diffusion (~4.29 M parameter) |
| **LUPIN** | `checkpoints/lupin.ckpt` | ~382 MB | Deterministic Dual U-Net with physics-based advection (~31.87 M parameter) |
| **DiffCast** | `checkpoints/diffcast_simvp.pt` | ~922 MB | Latent Diffusion Model based on SimVP and ContextNet (~57.56 M parameter) |
| **MFUNet** | `checkpoints/mfunet.ckpt` | ~2 MB | Motion Field U-Net untuk pemodelan temporal (~0.49 M parameter) |
## Struktur Repositori
nowcasting-radar-checkpoints/
β”œβ”€β”€ README.md
β”œβ”€β”€ .gitattributes
└── checkpoints/
β”œβ”€β”€ genlupin.ckpt
β”œβ”€β”€ lupin.ckpt
β”œβ”€β”€ diffcast_simvp.pt
└── mfunet.ckpt