# Spatiotemporal Prediction on SEVIR Regional

Source: [Spatiotemporal Prediction on SEVIR Regional](<https://www.sota2.com/research/sota/spatiotemporal-prediction-on-sevir-regional>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-03-18T06:51:22.405Z

Evaluation of models performing Spatiotemporal Prediction on the SEVIR Regional dataset, measured using RMSE, SSIM, and PSNR.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Spatiotemporal Prediction |
| Dataset (including any stated split) | SEVIR Regional |
| Metric | RMSE |
| Unit | SCALAR |
| Direction | Lower is better |
| Results loaded | 18 of 18 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [RMSE](<https://www.sota2.com/research/sota/spatiotemporal-prediction-on-sevir-regional.md?metric=RMSE>): Lower is better; unit: SCALAR.

- [SSIM](<https://www.sota2.com/research/sota/spatiotemporal-prediction-on-sevir-regional.md?metric=SSIM>): Higher is better; unit: PERCENT.

- [PSNR](<https://www.sota2.com/research/sota/spatiotemporal-prediction-on-sevir-regional.md?metric=PSNR>): Higher is better; unit: SCALAR.

## Recorded results

| Method | RMSE | Result date | Report paper |
| --- | --- | --- | --- |
| OMNIFLOW | 0.405 | Not recorded | 69ba31730636e5bf4afc0682 |
| EarthFarseer | 0.437 | Not recorded | 69ba31730636e5bf4afc0682 |
| PastNet | 0.472 | Not recorded | 69ba31730636e5bf4afc0682 |
| TAU | 0.512 | Not recorded | 69ba31730636e5bf4afc0682 |
| LSM | 0.531 | Not recorded | 69ba31730636e5bf4afc0682 |
| FNO | 0.554 | Not recorded | 69ba31730636e5bf4afc0682 |
| SimVP | 0.582 | Not recorded | 69ba31730636e5bf4afc0682 |
| Earthformer | 0.608 | Not recorded | 69ba31730636e5bf4afc0682 |
| PredRNN | 0.621 | Not recorded | 69ba31730636e5bf4afc0682 |
| ConvLSTM | 0.685 | Not recorded | 69ba31730636e5bf4afc0682 |
| SwinT-Base | 0.712 | Not recorded | 69ba31730636e5bf4afc0682 |
| UNet | 0.754 | Not recorded | 69ba31730636e5bf4afc0682 |
| ViT-Base | 0.812 | Not recorded | 69ba31730636e5bf4afc0682 |
| ResNet | 0.882 | Not recorded | 69ba31730636e5bf4afc0682 |
| OMNIFLOW | 52.45 | Not recorded | 69ba31730636e5bf4afc0682 |
| Seedream 4.5 | 90.4 | Not recorded | 69ba31730636e5bf4afc0682 |
| ChatGPT-Images | 101.3 | Not recorded | 69ba31730636e5bf4afc0682 |
| Banana Pro | 108.6 | Not recorded | 69ba31730636e5bf4afc0682 |

### OMNIFLOW

RMSE: 0.405. Result ID: 69ba4a2947f34ce924a3860a.

[Reporting paper](<https://www.sota2.com/research/paper/69ba31730636e5bf4afc0682.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69ba31730636e5bf4afc0682.md>)

Recorded evaluation configuration: {"Category":"Proposed","Training Strategy":"Training-free"}. This record does not assert independent reproduction.

### EarthFarseer

RMSE: 0.437. Result ID: 69ba4a2947f34ce924a38608.

[Reporting paper](<https://www.sota2.com/research/paper/69ba31730636e5bf4afc0682.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73651e209131cea5c2fb.md>)

Recorded evaluation configuration: {"Category":"Sci-ML","Training Strategy":"End-to-end"}. This record does not assert independent reproduction.

### PastNet

RMSE: 0.472. Result ID: 69ba4a2947f34ce924a38609.

[Reporting paper](<https://www.sota2.com/research/paper/69ba31730636e5bf4afc0682.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa768e1e209131cea6dabf.md>)

Recorded evaluation configuration: {"Category":"Sci-ML","Training Strategy":"End-to-end"}. This record does not assert independent reproduction.

### TAU

RMSE: 0.512. Result ID: 69ba4a2947f34ce924a38605.

[Reporting paper](<https://www.sota2.com/research/paper/69ba31730636e5bf4afc0682.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f041e209131cea4344c.md>)

Recorded evaluation configuration: {"Category":"S-T Predict","Training Strategy":"End-to-end"}. This record does not assert independent reproduction.

### LSM

RMSE: 0.531. Result ID: 69ba4a2947f34ce924a38607.

[Reporting paper](<https://www.sota2.com/research/paper/69ba31730636e5bf4afc0682.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa445c1e209131ce91093b.md>)

Recorded evaluation configuration: {"Category":"Sci-ML","Training Strategy":"End-to-end"}. This record does not assert independent reproduction.

### FNO

RMSE: 0.554. Result ID: 69ba4a2947f34ce924a38606.

[Reporting paper](<https://www.sota2.com/research/paper/69ba31730636e5bf4afc0682.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa581d1e209131ce9ab45d.md>)

Recorded evaluation configuration: {"Category":"Sci-ML","Training Strategy":"End-to-end"}. This record does not assert independent reproduction.

### SimVP

RMSE: 0.582. Result ID: 69ba4a2947f34ce924a38603.

[Reporting paper](<https://www.sota2.com/research/paper/69ba31730636e5bf4afc0682.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cc71e209131cea35ec0.md>)

Recorded evaluation configuration: {"Category":"S-T Predict","Training Strategy":"End-to-end"}. This record does not assert independent reproduction.

### Earthformer

RMSE: 0.608. Result ID: 69ba4a2947f34ce924a38604.

[Reporting paper](<https://www.sota2.com/research/paper/69ba31730636e5bf4afc0682.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6eb01e209131cea417fe.md>)

Recorded evaluation configuration: {"Category":"S-T Predict","Training Strategy":"End-to-end"}. This record does not assert independent reproduction.

### PredRNN

RMSE: 0.621. Result ID: 69ba4a2947f34ce924a38602.

[Reporting paper](<https://www.sota2.com/research/paper/69ba31730636e5bf4afc0682.md>)

Recorded evaluation configuration: {"Category":"S-T Predict","Training Strategy":"End-to-end"}. This record does not assert independent reproduction.

### ConvLSTM

RMSE: 0.685. Result ID: 69ba4a2947f34ce924a38601.

[Reporting paper](<https://www.sota2.com/research/paper/69ba31730636e5bf4afc0682.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62181e209131ce9f78df.md>)

Recorded evaluation configuration: {"Category":"S-T Predict","Training Strategy":"End-to-end"}. This record does not assert independent reproduction.

### SwinT-Base

RMSE: 0.712. Result ID: 69ba4a2947f34ce924a38600.

[Reporting paper](<https://www.sota2.com/research/paper/69ba31730636e5bf4afc0682.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Implementation](<https://github.com/microsoft/Swin-Transformer>)

Recorded evaluation configuration: {"Category":"Vision","Training Strategy":"End-to-end"}. This record does not assert independent reproduction.

### UNet

RMSE: 0.754. Result ID: 69ba4a2947f34ce924a385fe.

[Reporting paper](<https://www.sota2.com/research/paper/69ba31730636e5bf4afc0682.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa61e11e209131ce9f653d.md>)

[Implementation](<http://lmb.informatik.uni-freiburg.de/people/ronneber/u-net>)

Recorded evaluation configuration: {"Category":"Vision","Training Strategy":"End-to-end"}. This record does not assert independent reproduction.

### ViT-Base

RMSE: 0.812. Result ID: 69ba4a2947f34ce924a385ff.

[Reporting paper](<https://www.sota2.com/research/paper/69ba31730636e5bf4afc0682.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a0b1e209131cea25b04.md>)

[Implementation](<https://github.com/google-research/vision_transformer>)

Recorded evaluation configuration: {"Category":"Vision","Training Strategy":"End-to-end"}. This record does not assert independent reproduction.

### ResNet

RMSE: 0.882. Result ID: 69ba4a2947f34ce924a385fd.

[Reporting paper](<https://www.sota2.com/research/paper/69ba31730636e5bf4afc0682.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62321e209131ce9f8328.md>)

Recorded evaluation configuration: {"Category":"Vision","Training Strategy":"End-to-end"}. This record does not assert independent reproduction.

### OMNIFLOW

RMSE: 52.45. Result ID: 69ba4a2947f34ce924a38616.

[Reporting paper](<https://www.sota2.com/research/paper/69ba31730636e5bf4afc0682.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69ba31730636e5bf4afc0682.md>)

Recorded evaluation configuration: {"Zero-shot":"true","Evaluation Space":"PNG pixel space (0-255)"}. This record does not assert independent reproduction.

### Seedream 4.5

RMSE: 90.4. Result ID: 69ba4a2947f34ce924a38614.

[Reporting paper](<https://www.sota2.com/research/paper/69ba31730636e5bf4afc0682.md>)

Recorded evaluation configuration: {"Zero-shot":"true","Evaluation Space":"PNG pixel space (0-255)"}. This record does not assert independent reproduction.

### ChatGPT-Images

RMSE: 101.3. Result ID: 69ba4a2947f34ce924a38615.

[Reporting paper](<https://www.sota2.com/research/paper/69ba31730636e5bf4afc0682.md>)

Recorded evaluation configuration: {"Zero-shot":"true","Evaluation Space":"PNG pixel space (0-255)"}. This record does not assert independent reproduction.

### Banana Pro

RMSE: 108.6. Result ID: 69ba4a2947f34ce924a38613.

[Reporting paper](<https://www.sota2.com/research/paper/69ba31730636e5bf4afc0682.md>)

Recorded evaluation configuration: {"Zero-shot":"true","Evaluation Space":"PNG pixel space (0-255)"}. This record does not assert independent reproduction.

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