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China-LSAT2.0 large ensemble data

2024-01-18

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_ice is the average land surface temperature with maximun ice surface area added.

And the China-LSAT2.0_tmax and China-LSAT2.0_tmin are the maximum temperature and minimum temperature respectively (to be updated).

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