---
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/
├── README.md
├── .gitattributes
└── checkpoints/
    ├── genlupin.ckpt
    ├── lupin.ckpt
    ├── diffcast_simvp.pt
    └── mfunet.ckpt