Add resource documentation and statistics

.gitignore

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+.cache/

LICENSE.md

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+# Model Checkpoint License
+
+The following SBDA-distributed model checkpoint files are made available under
+the MIT License stated below:
+
+- `model_ckpt/sbda_full.pt`
+- `model_ckpt/sbda_wo_oi_train.pt`
+- `model_ckpt/diffda.pt`
+- `aifs_ckpt/aurora-1.5-finetuned.pt`
+
+For the SBDA and baseline DiffDA checkpoints:
+
+Copyright (c) 2026 SBDA authors
+
+For `aurora-1.5-finetuned.pt`, which was fine-tuned from the Microsoft Aurora
+pretrained model:
+
+Copyright (c) Microsoft Corporation.  
+Copyright (c) 2026 SBDA authors (fine-tuning contributions)
+
+## MIT License
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notices and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+## Scope
+
+This license applies to the checkpoint files listed above. It does not relicense
+the source code needed to run them. In particular, the I2SB-derived source files
+used by the SBDA pipeline remain subject to the NVIDIA Source Code License for
+I2SB and its non-commercial research-or-evaluation limitation. It also does not
+change the terms of ERA5 or any other training, evaluation, or input data.
+
+The Microsoft Aurora attribution applicable to the fine-tuned checkpoint is
+included above.

README.md

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+---
+license: mit
+library_name: pytorch
+tags:
+  - weather
+  - data-assimilation
+  - diffusion-models
+  - aurora
+---
+
+# SBDA Resources
+
+This repository contains the model checkpoints, normalization statistics, and
+sparse-observation mask required to reproduce the SBDA experiments.
+
+## Files
+
+| Path | Purpose |
+| --- | --- |
+| `model_ckpt/sbda_full.pt` | Full SBDA checkpoint |
+| `model_ckpt/sbda_wo_oi_train.pt` | SBDA checkpoint trained without observation refinement |
+| `model_ckpt/diffda.pt` | Baseline DiffDA checkpoint |
+| `aifs_ckpt/aurora-1.5-finetuned.pt` | Fine-tuned Aurora checkpoint for background generation and forecast evaluation |
+| `stats/mean_std_121x240.npz` | ERA5 normalization statistics used by all experiments |
+| `stats/mean_std_diff_120x240.npz` | ERA5–Aurora difference statistics used by baseline DiffDA |
+| `mask/mask_120x240_1pct.pt` | Fixed 1% sparse-observation mask |
+
+Download all resources into the `resource/` directory of the code release:
+
+```bash
+hf download strayee/SBDA --local-dir resource
+```
+
+File integrity can be checked with:
+
+```bash
+sha256sum -c SHA256SUMS
+```
+
+## License
+
+The distributed checkpoints are released under the MIT terms in `LICENSE.md`.
+The fine-tuned Aurora checkpoint retains the Microsoft Aurora MIT notice. The
+license of these files does not relicense the software required to run them or
+the ERA5-derived source data; see `LICENSE.md` for the precise scope.
+
+PyTorch `.pt` files may use Python pickle internally. Load checkpoint files only
+from a source you trust.

SHA256SUMS

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+43a2f7a284d7ff9be9fb6af4dec64bd51fbbc17a889727dc43c8d83cbb3603b8  aifs_ckpt/aurora-1.5-finetuned.pt
+83a4a37b415e294fff026538f40257dda90a8b97f1f9597443ec42346dcb20d2  mask/mask_120x240_1pct.pt
+435c2a59a9cefef3597f1c0089b298b2a24cd4c8167bd650439f1b0de15f6912  model_ckpt/diffda.pt
+2f3b968944120523d82ec92446ee2d07d6136c95dbdbdcb5539811135f4a4019  model_ckpt/sbda_full.pt
+36b7373623a778f8a2165f0cdefffe8b3bcdf2eb167f353bdbec9a5c217cc0e7  model_ckpt/sbda_wo_oi_train.pt
+59331519ff85f6d0e1e8cee64e44d602534a1e435568eb1b6444242b105eaf9c  stats/mean_std_121x240.npz
+6b73aac377aa11b6d143176344215d52ef905c3ac397c21d7abf05f83663fc97  stats/mean_std_diff_120x240.npz

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