Corrected_col int16 | Corrected_row int16 | Index int32 | Input array 4D | Lable int8 | Latitude float32 | Longitude float32 | Surface type string |
|---|---|---|---|---|---|---|---|
1,448 | 26 | 2,948 | [
[
[
[
0.12449999898672104,
0.1264999955892563,
0.12619999051094055
],
[
0.12349999696016312,
0.1216999962925911,
0.12319999933242798
],
[
0.12719999253749847,
0.12349999696016312,
0.12349999696016312
]
... | 0 | 16.040001 | 127.919998 | Snow |
1,447 | 27 | 2,949 | [
[
[
[
0.12150000035762787,
0.12349999696016312,
0.1216999962925911
],
[
0.12049999833106995,
0.12719999253749847,
0.12349999696016312
],
[
0.13519999384880066,
0.14419999718666077,
0.14419999718666077
]
... | 0 | 16.08 | 127.879997 | Snow |
1,447 | 28 | 2,950 | [
[
[
[
0.12049999833106995,
0.12719999253749847,
0.12349999696016312
],
[
0.13519999384880066,
0.14419999718666077,
0.14419999718666077
],
[
0.1241999939084053,
0.12520000338554382,
0.12849999964237213
]
... | 0 | 16.120001 | 127.879997 | Snow |
1,447 | 29 | 2,951 | [
[
[
[
0.13519999384880066,
0.14419999718666077,
0.14419999718666077
],
[
0.1241999939084053,
0.12520000338554382,
0.12849999964237213
],
[
0.12319999933242798,
0.1264999955892563,
0.12969999015331268
]
... | 0 | 16.16 | 127.879997 | Snow |
1,448 | 36 | 2,956 | [
[
[
[
0.148499995470047,
0.148499995470047,
0.14399999380111694
],
[
0.13499999046325684,
0.13449999690055847,
0.1404999941587448
],
[
0.12999999523162842,
0.12849999964237213,
0.12969999015331268
]
]... | 1 | 16.440001 | 127.919998 | Snow |
1,447 | 37 | 2,957 | [
[
[
[
0.13499999046325684,
0.13499999046325684,
0.13449999690055847
],
[
0.1347000002861023,
0.12999999523162842,
0.12849999964237213
],
[
0.13449999690055847,
0.12870000302791595,
0.13019999861717224
]
... | 1 | 16.48 | 127.879997 | Snow |
1,447 | 38 | 2,958 | [
[
[
[
0.1347000002861023,
0.12999999523162842,
0.12849999964237213
],
[
0.13449999690055847,
0.12870000302791595,
0.13019999861717224
],
[
0.17520000040531158,
0.1379999965429306,
0.13220000267028809
]
... | 1 | 16.52 | 127.879997 | Snow |
1,445 | 39 | 2,960 | [
[
[
[
0.1289999932050705,
0.1274999976158142,
0.13449999690055847
],
[
0.1509999930858612,
0.18869999051094055,
0.17520000040531158
],
[
0.14319999516010284,
0.16049998998641968,
0.1931999921798706
]
... | 0 | 16.559999 | 127.800003 | Snow |
1,447 | 40 | 2,959 | [
[
[
[
0.17520000040531158,
0.1379999965429306,
0.13220000267028809
],
[
0.1931999921798706,
0.18069998919963837,
0.16049998998641968
],
[
0.13120000064373016,
0.13920000195503235,
0.1639999896287918
]
... | 1 | 16.6 | 127.879997 | Snow |
1,444 | 41 | 2,961 | [
[
[
[
0.1606999933719635,
0.14319999516010284,
0.16049998998641968
],
[
0.26669999957084656,
0.14319999516010284,
0.12969999015331268
],
[
0.13300000131130219,
0.1826999932527542,
0.14169999957084656
]
... | 0 | 16.639999 | 127.760002 | Snow |
1,444 | 42 | 2,962 | [
[
[
[
0.26669999957084656,
0.14319999516010284,
0.12969999015331268
],
[
0.13300000131130219,
0.1826999932527542,
0.14169999957084656
],
[
0.1404999941587448,
0.13120000064373016,
0.13449999690055847
]
... | 0 | 16.68 | 127.760002 | Snow |
1,444 | 43 | 2,963 | [
[
[
[
0.13300000131130219,
0.1826999932527542,
0.14169999957084656
],
[
0.1404999941587448,
0.13120000064373016,
0.13449999690055847
],
[
0.12999999523162842,
0.12969999015331268,
0.13349999487400055
]
... | 0 | 16.719999 | 127.760002 | Snow |
1,444 | 44 | 2,964 | [
[
[
[
0.1404999941587448,
0.13120000064373016,
0.13449999690055847
],
[
0.12999999523162842,
0.12969999015331268,
0.13349999487400055
],
[
0.14249999821186066,
0.1264999955892563,
0.1459999978542328
]
... | 0 | 16.76 | 127.760002 | Snow |
1,443 | 45 | 2,965 | [
[
[
[
0.12999999523162842,
0.12999999523162842,
0.12969999015331268
],
[
0.13449999690055847,
0.14249999821186066,
0.1264999955892563
],
[
0.1542000025510788,
0.156700000166893,
0.13249999284744263
]
... | 0 | 16.799999 | 127.720001 | Snow |
1,443 | 46 | 2,966 | [
[
[
[
0.13449999690055847,
0.14249999821186066,
0.1264999955892563
],
[
0.1542000025510788,
0.156700000166893,
0.13249999284744263
],
[
0.13849999010562897,
0.13570000231266022,
0.148499995470047
]
],... | 0 | 16.84 | 127.720001 | Snow |
1,443 | 47 | 2,967 | [
[
[
[
0.1542000025510788,
0.156700000166893,
0.13249999284744263
],
[
0.13849999010562897,
0.13570000231266022,
0.148499995470047
],
[
0.13599999248981476,
0.14169999957084656,
0.15719999372959137
]
]... | 0 | 16.879999 | 127.720001 | Snow |
1,442 | 53 | 2,972 | [
[
[
[
0.12849999964237213,
0.12849999964237213,
0.12799999117851257
],
[
0.12770000100135803,
0.12600000202655792,
0.12399999797344208
],
[
0.12269999831914902,
0.12549999356269836,
0.12549999356269836
]
... | 0 | 17.120001 | 127.68 | Snow |
1,441 | 54 | 2,973 | [
[
[
[
0.1224999949336052,
0.12770000100135803,
0.12600000202655792
],
[
0.1289999932050705,
0.12269999831914902,
0.12549999356269836
],
[
0.13019999861717224,
0.13769999146461487,
0.1396999955177307
]
... | 0 | 17.16 | 127.639999 | Snow |
Fengyun-4A cloud detection dataset
The cloud detection dataset for Fengyun-4A (FY-4A) geostationary satellite supporting both physical and spatio-temporal data-driven algorithms.
Dataset description
Each folder contains cloud detection samples collected during the time period (UTC) indicated by the folder name, and includes the following three types of files:
yyyymmddHHMM_yyyymmddHHMM.hdf5provides the index, latitude, longitude, land-surface type, 3×21×3×3 (time×feature×latitude×longitude) input matrices, and label (1 for cloudy and 0 for cloud-free) for each target FY-4A pixel.yyyymmddHHMM_yyyymmddHHMM_Atmos_i.datprovides vertical profiles of water vapor, temperature, and ozone; near-surface meteorological variables (2-m temperature, 2-m water vapor, 2-m pressure, and 10-m wind speed); surface properties (land-surface temperature, albedo, and emissivity); as well as elevation, latitude, longitude, satellite zenith, satellite azimuth, solar zenith, and solar azimuth angles for the i-th pixel (i=1,…,9) in each pixel block at the middle time instance.yyyymmddHHMM_yyyymmddHHMM_Aerosol_i.datprovides vertical profiles of nine aerosol species for the i-th pixel (i=1,…,9) in each pixel block at the middle time instance.
File structure
Each folder is named yyyymmddHHMM_yyyymmddHHMM and contains 19 files.
{yyyymmddHHMM_yyyymmddHHMM}/
{yyyymmddHHMM_yyyymmddHHMM}.hdf5
{yyyymmddHHMM_yyyymmddHHMM}_Atmos_1.dat
{yyyymmddHHMM_yyyymmddHHMM}_Atmos_2.dat
{yyyymmddHHMM_yyyymmddHHMM}_Atmos_3.dat
{yyyymmddHHMM_yyyymmddHHMM}_Atmos_4.dat
{yyyymmddHHMM_yyyymmddHHMM}_Atmos_5.dat
{yyyymmddHHMM_yyyymmddHHMM}_Atmos_6.dat
{yyyymmddHHMM_yyyymmddHHMM}_Atmos_7.dat
{yyyymmddHHMM_yyyymmddHHMM}_Atmos_8.dat
{yyyymmddHHMM_yyyymmddHHMM}_Atmos_9.dat
{yyyymmddHHMM_yyyymmddHHMM}_Aerosol_1.dat
{yyyymmddHHMM_yyyymmddHHMM}_Aerosol_2.dat
{yyyymmddHHMM_yyyymmddHHMM}_Aerosol_3.dat
{yyyymmddHHMM_yyyymmddHHMM}_Aerosol_4.dat
{yyyymmddHHMM_yyyymmddHHMM}_Aerosol_5.dat
{yyyymmddHHMM_yyyymmddHHMM}_Aerosol_6.dat
{yyyymmddHHMM_yyyymmddHHMM}_Aerosol_7.dat
{yyyymmddHHMM_yyyymmddHHMM}_Aerosol_8.dat
{yyyymmddHHMM_yyyymmddHHMM}_Aerosol_9.dat
Example:
201901010500_201901010514/
201901010500_201901010514_Atmos_1.dat
201901010500_201901010514_Atmos_2.dat
201901010500_201901010514_Atmos_3.dat
201901010500_201901010514_Atmos_4.dat
201901010500_201901010514_Atmos_5.dat
201901010500_201901010514_Atmos_6.dat
201901010500_201901010514_Atmos_7.dat
201901010500_201901010514_Atmos_8.dat
201901010500_201901010514_Atmos_9.dat
201901010500_201901010514_Aerosol_1.dat
201901010500_201901010514_Aerosol_2.dat
201901010500_201901010514_Aerosol_3.dat
201901010500_201901010514_Aerosol_4.dat
201901010500_201901010514_Aerosol_5.dat
201901010500_201901010514_Aerosol_6.dat
201901010500_201901010514_Aerosol_7.dat
201901010500_201901010514_Aerosol_8.dat
201901010500_201901010514_Aerosol_9.dat
Variables
Variables in yyyymmddHHMM_yyyymmddHHMM.hdf5
| Variable | Description | Type | Units |
|---|---|---|---|
| Index | Index of each target FY-4A pixel | Integer | — |
| Latitude | Latitude of each matched FY-4A pixel | Float | ° |
| Longitude | Longitude of each matched FY-4A pixel | Float | ° |
| Surface type | Land-surface type of each matched FY-4A pixel | String | — |
| Input | Satellite data for each pixel block (3×21×3×3) | Float | — |
| Label | Label of the target pixel for each pixel block | Integer | — |
Features for each input matrix
| Feature | Description | Units |
|---|---|---|
| 1 | FY-4A AGRI Band 1 (0.45-0.49 μm) | — |
| 2 | FY-4A AGRI Band 2 (0.55-0.75 μm) | — |
| 3 | FY-4A AGRI Band 3 (0.75-0.90 μm) | — |
| 4 | FY-4A AGRI Band 4 (1.36-1.39 μm) | — |
| 5 | FY-4A AGRI Band 5 (1.58-1.64 μm) | — |
| 6 | FY-4A AGRI Band 6 (2.10-2.35 μm) | — |
| 7 | FY-4A AGRI Band 8 (3.50-4.00 μm) | K |
| 8 | FY-4A AGRI Band 9 (5.80-6.70 μm) | K |
| 9 | FY-4A AGRI Band 10 (6.90-7.30 μm) | K |
| 10 | FY-4A AGRI Band 11 (8.00-9.00 μm) | K |
| 11 | FY-4A AGRI Band 12 (10.3-11.3 μm) | K |
| 12 | FY-4A AGRI Band 13 (11.5-12.5 μm) | K |
| 13 | FY-4A AGRI Band 14 (13.2-13.8 μm) | K |
| 14 | Solar azimuth angle | ° |
| 15 | Solar zenith angle | ° |
| 16 | Solar glint angle | ° |
| 17 | Satellite azimuth angle | ° |
| 18 | Satellite zenith angle | ° |
| 19 | Surface elevation | m |
| 20 | Pixel longitude | ° |
| 21 | Pixel latitude | ° |
Variables in yyyymmddHHMM_yyyymmddHHMM_Atmos_i.dat
| Variable | Description | Data type | Unit |
|---|---|---|---|
| Index | Index of each tatget FY-4A pixel | Integer | -- |
| Pressure levels | Pressures of all layers for the i-th pixel in each pixel block | Float | hPa |
| Temperature profile | Temperature of all layers for the i-th pixel in each pixel block | Float | K |
| Water vapour profile | Water vapour concentration of all layers for the i-th pixel in each pixel block | Float | kg/kg |
| Ozone profile | Ozone concentration of all layers for the i-th pixel in each pixel block | Float | kg/kg |
| 2-m temperature | 2-m temperature of the i-th pixel in each pixel block | Float | K |
| 2-m water vapour | 2-m water vapour concentration of the i-th pixel in each pixel block | Float | kg/kg |
| 2-m pressure | 2-m pressure of the i-th pixel in each pixel block | Float | hPa |
| 10-m wind u | 10-m eastward wind speed of the i-th pixel in each pixel block | Float | m/s |
| 10-m wind v | 10-m northward wind speed of the i-th pixel in each pixel block | Float | m/s |
| Skin temperature | Land-surface temperature of the i-th pixel in each pixel block | Float | K |
| Elevation | Elevation of the i-th pixel in each pixel block | Float | km |
| Latitude | Latitude of the i-th pixel in each pixel block | Float | ° |
| Longitude | Longitude of the i-th pixel in each pixel block | Float | ° |
| Satellite zenith | Satellite zenith angle of the i-th pixel in each pixel block | Float | ° |
| Satellite azimuth | Satellite azimuth angle of the i-th pixel in each pixel block | Float | ° |
| Sun zenith | Sun zenith angle of the i-th pixel in each pixel block | Float | ° |
| Sun azimuth | Sun azimuth angle of the i-th pixel in each pixel block | Float | ° |
| Albedo1 | Land-surface albedo of the i-th pixel in each pixel block for FY-4A band 1 | Float | — |
| Albedo2 | Land-surface albedo of the i-th pixel in each pixel block for FY-4A band 2 | Float | — |
| Albedo3 | Land-surface albedo of the i-th pixel in each pixel block for FY-4A band 3 | Float | — |
| Albedo4 | Land-surface albedo of the i-th pixel in each pixel block for FY-4A band 4 | Float | — |
| Albedo5 | Land-surface albedo of the i-th pixel in each pixel block for FY-4A band 5 | Float | — |
| Albedo6 | Land-surface albedo of the i-th pixel in each pixel block for FY-4A band 6 | Float | — |
| Emissivity8 | Land-surface emissivity of the i-th pixel in each pixel block for FY-4A band 8 | Float | — |
| Emissivity11 | Land-surface emissivity of the i-th pixel in each pixel block for FY-4A band 11 | Float | — |
| Emissivity12 | Land-surface emissivity of the i-th pixel in each pixel block for FY-4A band 12 | Float | — |
| Emissivity13 | Land-surface emissivity of the i-th pixel in each pixel block for FY-4A band 13 | Float | — |
Variables in yyyymmddHHMM_yyyymmddHHMM_Aerosol_i.dat
| Variable | Description | Data type | Unit |
|---|---|---|---|
| Index | Index of each matched FY-4A pixel | Integer | kg/kg |
| BCAR | Black carbon aerosol mixing ratio | Float | kg/kg |
| DUS1 | Dust aerosol (0.03—0.55 μm) mixing ratio | Float | kg/kg |
| DUS2 | Dust aerosol (0.55—0.90 μm) mixing ratio | Float | kg/kg |
| DUS3 | Dust aerosol (0.90—20.0 μm) mixing ratio | Float | kg/kg |
| SULP | Sulphate aerosol mixing ratio | Float | kg/kg |
| SSA1 | Sea salt aerosol (0.03—0.50 μm) mixing ratio | Float | kg/kg |
| SSA2 | Sea salt aerosol (0.50—5.00 μm) mixing ratio | Float | kg/kg |
| SSA3 | Sea salt aerosol (5.00—20.0 μm) mixing ratio | Float | kg/kg |
| OMAT | Hydrophilic organic matter aerosol mixing ratio | Float | kg/kg |
Usage
Load from Hugging Face
from huggingface_hub import snapshot_download
REPO_ID = "SimonSongHit/fengyun4A-cloud-detection-dataset"
cache_path = "G:/hf_cache" # Replace it with your cache path
print("Downloading dataset...")
root_dir = snapshot_download(
repo_id=REPO_ID,
repo_type="dataset",
cache_dir=cache_path
)
print("Data path:", root_dir)
Use with TabPFN
A detailed usage example is provided in the notebook Dataset_download_and_usage_example.ipynb.
Data Sources
This dataset integrates multiple satellite and reanalysis data sources:
- FY-4A satellite data: National Satellite Meteorological Center (NSMC)
- MODIS land-surface products (MCD12C1, MYD10C1, MCD43A3, MOD11B1): NASA Earthdata Search
- CALIPSO cloud-layer product: NASA Earthdata Search
- ERA5 reanalysis data: Copernicus Climate Data Store
- EAC4 reanalysis data:Copernicus Atmosphere Data Store
License
- MODIS and CALIPSO data are provided by :contentReference[oaicite:0]{index=0} and are subject to their Data Usage Policy.
- ERA5 data are provided by :contentReference[oaicite:1]{index=1} and are subject to their Data Usage Policy.
- EAC4 data are provided by :contentReference[oaicite:2]{index=2} and are subject to their Data Usage Policy.
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