FY-4-CD: A multi-source integrated dataset for Fengyun-4 cloud detection

This work introduces FY-4-CD, a comprehensive dataset for cloud detection tailored to the Fengyun-4 geostationary satellites, comprising 741,042samples. Each folder contains cloud detection samples collected during the time period (UTC) indicated by the folder name, and includes the following four types of files:

yyyymmddHHMM_yyyymmddHHMM.hdf5 provides 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.dat provides 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.dat provides vertical profiles of nine aerosol species for the i-th pixel (i=1,…,9) in each pixel block at the middle time instance.

yyyymmddHHMM_yyyymmddHHMM_RTTOV_i.hdf5 provides RTTOV-simulated data 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 28 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

{yyyymmddHHMM_yyyymmddHHMM}_RTTOV_1.hdf5 {yyyymmddHHMM_yyyymmddHHMM}_RTTOV_2.hdf5 {yyyymmddHHMM_yyyymmddHHMM}_RTTOV_3.hdf5 {yyyymmddHHMM_yyyymmddHHMM}_RTTOV_4.hdf5 {yyyymmddHHMM_yyyymmddHHMM}_RTTOV_5.hdf5 {yyyymmddHHMM_yyyymmddHHMM}_RTTOV_6.hdf5 {yyyymmddHHMM_yyyymmddHHMM}_RTTOV_7.hdf5 {yyyymmddHHMM_yyyymmddHHMM}_RTTOV_8.hdf5 {yyyymmddHHMM_yyyymmddHHMM}_RTTOV_9.hdf5