Because the data is too large, we split the data intoseveral parts to upload. You’d better download them all and decompress them together.
China-LSAT2.0_tavg is the average land surface temperature without ice surface area.
• China-LSAT2.0_tavg_part1.zip
• China-LSAT2.0_tavg_part2.zip
• China-LSAT2.0_tavg_part3.zip
• China-LSAT2.0_tavg_part4.zip
China-LSAT2.0_tavg_ice is the average land surface temperature with maximun ice surface area added.
• China-LSAT2.0_tavg_ice_part1.zip
• China-LSAT2.0_tavg_ice_part2.zip
• China-LSAT2.0_tavg_ice_part3.zip
• China-LSAT2.0_tavg_ice_part4.zip
And the China-LSAT2.0_tmax and China-LSAT2.0_tmin are the maximum temperature and minimum temperature respectively (to be updated).
• China-LSAT2.0_tmax.part1.rar
• China-LSAT2.0_tmax.part2.rar
• China-LSAT2.0_tmax.part3.rar
• China-LSAT2.0_tmin.part1.rar
• China-LSAT2.0_tmin.part2.rar
• China-LSAT2.0_tmin.part3.rar
When you decompress the dataset, you'll find :
a) There are seven folders and they represent the data from seven kinds of EOTs training periods and spatial scales.
b) The NetCDF files in the folders are named:
masked_reSAT_αyr_βminyrfilter_γcrit.nc
The meaning of them are as follow:
Parameter | Operational options | Alternative options | |
α | LF filter periods | 15 years | 10, 15, 20 years |
β | Min number of years for LF filter | 2 years | 1, 2, 3 years |
γ | EOTs acceptance criterion | 0.2 | 0.10, 0.15, 0.20, 0.25 |
1979-2018_modes_option1 1979-2018_modes_option2 1979-2018_modes_operational 1979-2008_modes_option 1989-2018_modes_option evenyear_modes_option oddyear_modes_option | EOTs training periods and spatial scales | 1979-2018, Lx=4000, 3000, 2500, Ly=2500 | 1979-2018: Lx=3000,2000,1500, Ly=1500; 1979-2018: Lx=5000,4000,3500, Ly=3500; 1979-2018: Lx=4000,3000,2500, Ly=2500; 1979-2008: Lx=4000,3000,2500, Ly=2500; 1989-2018: Lx=4000,3000,2500, Ly=2500; even year: Lx=4000,3000,2500, Ly=2500; odd year: Lx=4000,3000,2500, Ly=2500 |
Table1 Parameter settings used for reconstruction scenarios and the operational option