---
license: cc-by-4.0
tags:
- climate
- weather
- extreme events
- machine learning
task_categories:
- image-segmentation
- image-to-image

configs:
- config_name: default
  data_files:
  - split: train
    path: 
      - "data/weather/coldwave/coldwave_records.csv"
      - "data/weather/heatwave/heatwave_records.csv"
      - "data/weather/tropicalCyclone/tropicalCyclone_surface_records.csv"
      - "data/weather/expcp/expcp_metadata.csv"
      - "data/weather/storm/storm_metadata.csv"
      - "data/eo/fire/training/training_index.csv"
      - "data/eo/fire/flood/training_index.csv"
  - split: test
    path: 
      - "data/weather/coldwave/coldwave_records_test.csv"
      - "data/weather/heatwave/heatwave_records_test.csv"
      - "data/weather/tropicalCyclone/tropicalCyclone_surface_records_test.csv"
      - "data/weather/expcp/expcp_metadata.csv"
      - "data/weather/storm/storm_metadata.csv"
      - "data/eo/fire/validation/validation_index.csv"
      - "data/eo/flood/validation/validation_index.csv"
---
## The ExEBench Datasets are collected from weather and earth observation data from diverse sources.
| **Category**           | **Heatwaves**                            | **Cold waves**                           | **Tropical cyclones**                                                  | **Storms**                   | **Extreme precipitation**                  | **Fires**                                             | **Flood**                         |
|------------------------|------------------------------------------|-------------------------------------------|------------------------------------------------------------------------|-------------------------------|---------------------------------------------|--------------------------------------------------------|-----------------------------------|
  | **Data type**        | Weather                                  | Weather                       |               Weather                    |EO |EO |EO |EO
| **Data source**        | EmDat, ERA5, ISO-3                       | EmDat, ERA5, ISO-3                        | EmDat, ERA5, IBTrACSv04                                               | TASSRAD19                    | TRMM 3B42 V7, IMERG half-hourly Final Run   | HLS Burn Scars                                      | UrbanSAR-Floods                  |
| **Sensor/variable**    | t₂m (max), land-, soil-, topography- masks| t₂m (min), land-, soil-, topography- masks| mslp, u10, v10; z, u, v at levels,land-, soil-, topography- masks | Radar prec. rate, noise mask | Precip Radar & TRMM Imager                  | Landsat/Sentinel-2, burn masks                     | Sentinel-1, flood masks          |
| **Spatial resolution** | 0.25°                                   | 0.25°                                     | 0.25°                                                                 | 500 m                        | 0.1°                                       | 30 m                                               | 20 m                             |
| **Temporal resolution**| Daily                                   | Daily                                     | Hourly                                                                | 5-minute                     | Half-hourly                                | N.A                                                | N.A                              |
| **Spatial coverage**   | Global                                  | Global                                    | Tropics                                                               | Trentino South Tyrol         | Global                                     | Contiguous US                                       | Global                           |
| **Temporal coverage**  | 2019–2023                               | 2019–2023                                 | 2019                                                                  | 2010–2019                    | 2020–2023                                  | 2018–2021                                         | 2016–2023                        |
| **Event number**       | 55                                      | 9                                         | 95                                                                    | 931                          | 1092                                        | N.A                                                | 11                               |
| **Frame size**         | CHW (C=4)                               | CHW (C=4)                                 | CHW & CDHW (C=3, D=5)                                                 | LCHW (C=1, 480×480)          | LCHW (C=1, 50×50)                          | CHW (6×512×512)                                    | CHW (8×512×512)                  |
| **Train split**        | 4,844                                   | 338                                       | 12,993                                                                | 810                          | 796                                        | 540                                                | 405                              |
| **Test split**         | 366 frames                              | 221 frames                                | 2,438 frames                                                          | 121 sequences                | 296 sequences                              | 264 pairs                                           | 285 pairs                        |
| **Task**               | Image-image prediction                  | Image-image prediction                    | Trajectory tracking                                                   | Video prediction             | Video prediction                            | Segmentation                                        | Segmentation (change detection) |