The dataset "CTL10km" contains the GrADS files of the 10-km-grid dataset for the control experiment (CTL) in Yanase et al. (2022). The dataset is created by averaging 5 x 5 grids of the original 2-km-grid model outputs (see section 2.3). The output time is 1 hourly for two-dimensional data and 6 hourly for three-dimensional data from 1200 UTC on 10 October to 1200 UTC on 13 October 2019. This dataset is used for analyzing the structures of Typhoon Hagibis (2019) and its synoptic conditions, and also for deriving other variables such as potential vorticity and absolute angular momentum in Yanase et al. (2022).

[Two-dimensional data]
Descriptor file: var2.ctl
Data file: var2.grd
Variables:
 PSEA: sea level pressure (Pa)
 TS: surface temperature (K)
 QV: vertically integrated water vapor (kg m-2) 
 QT: vertically integrated total condensed water (kg m-2)
 SHF: surface sensible heat flux (W m-2)
 LHF: surface latent heat flux (W m-2)
 SMQR: accumulated rainfall from the initial time (mm)
 SMQS: accumulated snowfall from the initial time (mm)
 SMQG: accumulated graupel-fall from the initial time (mm)
 FIR1: infrared imagery (not used)
 FVS: visible imagery (not used)
 FIR3: water vapor imagery (not used)

[Three-dimensional data]
Descriptor file: var3.ctl
Data file: var3_YYYYMMDDHH.grd
 (YYYY is year, MM is month, DD is day, HH is hour)
Variables:
 U: zonal wind (m s-1)
 V: meridional wind (m s-1)
 W: vertical wind (m s-1)
 PRS: pressure (Pa)
 PT: potential temperature (K)
 DNS: density (kg m-3)
 TEM: temperature (degree Celsius)
 VOR: relative vorticity (s-1)
 QV: mixing ratio of water vapor (kg kg-1)
 QT: mixing ration of total condensed water (kg kg-1)
 RH: relative humidity (%)
 EPT: equivalent potential temperature (K)
 HCL: heating rate due to cloud microphysics (K s-1)
 HSENS: heating rate due to turbulent mixing (K s-1)