| --- |
| license: other |
| license_name: mixed-sources |
| license_details: >- |
| Derived subsets of two public ocean reanalyses, redistributed with |
| attribution for reproducibility; see "Sources and terms". Original content |
| (run records, decoded model fields, latents) under MIT. |
| tags: |
| - ocean-modeling |
| - ensemble-forecasting |
| - robotics |
| - benchmark |
| --- |
| |
| # Closed-Loop Adaptive Sampling on a Generative Ocean Model — artifacts |
|
|
| Paper: [arXiv:2611.05776](https://arxiv.org/abs/2611.05776) (under review). |
|
|
| The evaluation artifacts behind the paper "Closed-Loop Adaptive Sampling on a |
| Generative Ocean Model" (Hafezi and Papalia): everything needed to re-run the |
| closed loop on the sealed test windows and to regenerate the paper's decoded |
| figures and loop video, without the multi-terabyte reanalysis stores. |
|
|
| ## Contents |
|
|
| | path | size | content | |
| |---|---|---| |
| | `truth_bundles/{mab,ccs}.npz` | 111 / 113 MB | per sealed test IC (10 per region), the 41 six-hour states of SST, SSS and surface u/v on the model crop, the wet mask and the metric cell sizes; float32, bitwise equal to the preprocessed reanalysis stores | |
| | `latent_bundles/{mab,ccs}.npz` | 25 / 32 MB | the same 41-state windows of the RAW truth latents, fp16; the closed loop reads the initial-condition latent and the per-cycle autoencoder floor from these | |
| | `figure_fields/` | 59 MB | decoded-field extracts behind Figs. 1, 2 and 6 and the loop-video member decodes; see its README | |
| | `render_dumps/<slice>/<policy>.npz` | 298 MB | per-cycle truth, ensemble mean, spread, robot positions, reachable sets and selected cells of the six dumped chains per slice (MAB and CCS showcase ICs, both variables, fleet 50) | |
| | `free_running_latents/` | 1.6 GB | per-cycle prior member latents (fp16, N = 25) of the 20 free-running chains, the inputs behind the spread-error diagnostics and the ensemble figures | |
| | `records/raw_run_records.tar.zst` | 3 MB | the 2,318 raw run-record JSONs of the campaigns (40 cycles each: prior/posterior RMSE, autoencoder floor, observation count) | |
|
|
| The per-run scores, the per-cycle score tables, the tolerance floors and the |
| Fig. 5 sampling positions are committed INSIDE the code repository |
| (`results/scores/`), extracted from these same records and dumps by an |
| auditable script. |
|
|
| Precision notes: truth bundles are float32 and bitwise equal to the stores |
| (spot-checked at export); latent bundles are fp16 (about 5e-4 relative |
| quantization), so bundle-backed chains reproduce the production records |
| statistically, not bitwise. |
|
|
| ## Sources and terms |
|
|
| - **MAB (Doppio reanalysis).** Wilkin et al. (2022), Progress in Oceanography |
| 209:102919. Distributed by Rutgers University (THREDDS) and through the NOAA |
| Open Data Dissemination program, whose terms make the data open to the public |
| with attribution requested and no implied NOAA endorsement. The bundles here |
| are small derived subsets (four surface fields at 10 dates plus their 240-hour |
| windows, on the model crop), redistributed with attribution under those terms. |
| - **CCS (CCSRA31 reanalysis).** Neveu et al. (2016), Ocean Modelling 99:133-151; |
| see also Moore et al. (2019) for the broader ROMS 4D-Var synthesis. |
| Distributed by the UC Santa Cruz ocean modeling group (OPeNDAP/THREDDS). The |
| access pages publish no explicit data license; the group asks that the system |
| papers be referenced. Accordingly this dataset redistributes only a small |
| derived subset (the same four surface fields at 10 dates) for |
| reproducibility, with attribution; the reanalysis itself is not mirrored, and |
| the code repository's download scripts point at the original servers. |
| - Decoded fields, latents and run records are model outputs created by the |
| authors (MIT). |
|
|
| ## Use |
|
|
| ``` |
| export CLOSEDLOOP_ARTIFACTS=/path/to/artifacts |
| python tools/download_artifacts.py # or --bundles-only (about 320 MB) |
| python experiments/run_closed_loop.py --region mab \ |
| --ic_datetime 2022-04-09T12:00 --nfleet 50 --strategy a_optimal --rseed 0 |
| ``` |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{hafezi2026closedloop, |
| author = {Hafezi, Shayesteh and Papalia, Alan}, |
| title = {Closed-Loop Adaptive Sampling on a Generative Ocean Model}, |
| year = {2026}, |
| howpublished = {arXiv preprint arXiv:2611.05776}, |
| note = {Under review}, |
| } |
| @article{wilkin2022doppio_reanalysis, |
| author = {Wilkin, John and Levin, Julia and Moore, Andrew and Arango, Hernan |
| and L{\'o}pez, Alexander and Hunter, Elias}, |
| title = {A Data-Assimilative Model Reanalysis of the {U.S.} {Mid Atlantic |
| Bight} and {Gulf of Maine}}, |
| journal = {Progress in Oceanography}, |
| volume = {209}, |
| pages = {102919}, |
| year = {2022}, |
| } |
| @article{neveu2016ccsra, |
| author = {Neveu, Emilie and Moore, Andrew M. and Edwards, Christopher A. and |
| Fiechter, J{\'e}r{\^o}me and Drake, Patrick and Crawford, |
| William J. and Jacox, Michael G. and Nuss, Emma}, |
| title = {An Historical Analysis of the {California Current} Circulation |
| Using {ROMS} {4D-Var}: System Configuration and Diagnostics}, |
| journal = {Ocean Modelling}, |
| volume = {99}, |
| pages = {133--151}, |
| year = {2016}, |
| } |
| ``` |
|
|
