# Precipitation Estimation on Kyushu (Japan) regional dataset 2022

Source: [Precipitation Estimation on Kyushu (Japan) regional dataset 2022](<https://www.sota2.com/research/sota/precipitation-estimation-on-kyushu-japan-regional-dataset-2022>)

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

Data updated: 2026-04-14T09:07:19.477Z

Evaluation of models performing Precipitation Estimation using error metrics (RMSE, MAE) and correlation metrics on the Kyushu (Japan) regional dataset collected in 2022.

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 | Precipitation Estimation |
| Dataset (including any stated split) | Kyushu (Japan) regional dataset 2022 |
| Metric | RMSE (r) |
| Unit | SCALAR |
| Direction | Lower is better |
| Results loaded | 15 of 15 |
| 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 (r)](<https://www.sota2.com/research/sota/precipitation-estimation-on-kyushu-japan-regional-dataset-2022.md?metric=RMSE%20(r)>): Lower is better; unit: SCALAR.

- [MAE (r)](<https://www.sota2.com/research/sota/precipitation-estimation-on-kyushu-japan-regional-dataset-2022.md?metric=MAE%20(r)>): Lower is better; unit: SCALAR.

- [RMSE (g)](<https://www.sota2.com/research/sota/precipitation-estimation-on-kyushu-japan-regional-dataset-2022.md?metric=RMSE%20(g)>): Lower is better; unit: SCALAR.

- [MAE (g)](<https://www.sota2.com/research/sota/precipitation-estimation-on-kyushu-japan-regional-dataset-2022.md?metric=MAE%20(g)>): Lower is better; unit: SCALAR.

- [Correlation (r, coll)](<https://www.sota2.com/research/sota/precipitation-estimation-on-kyushu-japan-regional-dataset-2022.md?metric=Correlation%20(r%2C%20coll)>): Higher is better; unit: SCALAR.

## Recorded results

| Method | RMSE (r) | Result date | Report paper |
| --- | --- | --- | --- |
| NSP | 1.119 | Not recorded | 69ddca3d7d0172140ec79c07 |
| IDW | 1.272 | Not recorded | 69ddca3d7d0172140ec79c07 |
| GSMaP GC | 1.288 | Not recorded | 69ddca3d7d0172140ec79c07 |
| U-Net | 1.324 | Not recorded | 69ddca3d7d0172140ec79c07 |
| ConvCNP | 1.363 | Not recorded | 69ddca3d7d0172140ec79c07 |
| XGBoost | 1.501 | Not recorded | 69ddca3d7d0172140ec79c07 |
| GSMaP | 1.508 | Not recorded | 69ddca3d7d0172140ec79c07 |
| Kriging | 1.64 | Not recorded | 69ddca3d7d0172140ec79c07 |
| Linear regression | 1.688 | Not recorded | 69ddca3d7d0172140ec79c07 |
| Cokriging | 1.715 | Not recorded | 69ddca3d7d0172140ec79c07 |
| EMOS | 1.738 | Not recorded | 69ddca3d7d0172140ec79c07 |
| CNP | 1.779 | Not recorded | 69ddca3d7d0172140ec79c07 |
| GWR | 1.788 | Not recorded | 69ddca3d7d0172140ec79c07 |
| Quantile mapping | 1.876 | Not recorded | 69ddca3d7d0172140ec79c07 |
| ViT | 2.979 | Not recorded | 69ddca3d7d0172140ec79c07 |

### NSP

RMSE (r): 1.119. Result ID: 69de03c347f34ce924c5a016.

[Reporting paper](<https://www.sota2.com/research/paper/69ddca3d7d0172140ec79c07.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69ddca3d7d0172140ec79c07.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### IDW

RMSE (r): 1.272. Result ID: 69de03c347f34ce924c5a014.

[Reporting paper](<https://www.sota2.com/research/paper/69ddca3d7d0172140ec79c07.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### GSMaP GC

RMSE (r): 1.288. Result ID: 69de03c347f34ce924c5a015.

[Reporting paper](<https://www.sota2.com/research/paper/69ddca3d7d0172140ec79c07.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### U-Net

RMSE (r): 1.324. Result ID: 69de03c347f34ce924c5a013.

[Reporting paper](<https://www.sota2.com/research/paper/69ddca3d7d0172140ec79c07.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: Not recorded. This record does not assert independent reproduction.

### ConvCNP

RMSE (r): 1.363. Result ID: 69de03c347f34ce924c5a012.

[Reporting paper](<https://www.sota2.com/research/paper/69ddca3d7d0172140ec79c07.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74801e209131cea61fde.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### XGBoost

RMSE (r): 1.501. Result ID: 69de03c347f34ce924c5a011.

[Reporting paper](<https://www.sota2.com/research/paper/69ddca3d7d0172140ec79c07.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62821e209131ce9f9b56.md>)

[Implementation](<https://github.com/dmlc/xgboost>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### GSMaP

RMSE (r): 1.508. Result ID: 69de03c347f34ce924c5a010.

[Reporting paper](<https://www.sota2.com/research/paper/69ddca3d7d0172140ec79c07.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Kriging

RMSE (r): 1.64. Result ID: 69de03c347f34ce924c5a00f.

[Reporting paper](<https://www.sota2.com/research/paper/69ddca3d7d0172140ec79c07.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Linear regression

RMSE (r): 1.688. Result ID: 69de03c347f34ce924c5a00e.

[Reporting paper](<https://www.sota2.com/research/paper/69ddca3d7d0172140ec79c07.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Cokriging

RMSE (r): 1.715. Result ID: 69de03c347f34ce924c5a00d.

[Reporting paper](<https://www.sota2.com/research/paper/69ddca3d7d0172140ec79c07.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### EMOS

RMSE (r): 1.738. Result ID: 69de03c347f34ce924c5a00c.

[Reporting paper](<https://www.sota2.com/research/paper/69ddca3d7d0172140ec79c07.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### CNP

RMSE (r): 1.779. Result ID: 69de03c347f34ce924c5a00b.

[Reporting paper](<https://www.sota2.com/research/paper/69ddca3d7d0172140ec79c07.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64841e209131cea050f9.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### GWR

RMSE (r): 1.788. Result ID: 69de03c347f34ce924c5a00a.

[Reporting paper](<https://www.sota2.com/research/paper/69ddca3d7d0172140ec79c07.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Quantile mapping

RMSE (r): 1.876. Result ID: 69de03c347f34ce924c5a009.

[Reporting paper](<https://www.sota2.com/research/paper/69ddca3d7d0172140ec79c07.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### ViT

RMSE (r): 2.979. Result ID: 69de03c347f34ce924c5a008.

[Reporting paper](<https://www.sota2.com/research/paper/69ddca3d7d0172140ec79c07.md>)

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

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

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.
