Sensitivity Evaluation of Spectral Nudging Schemes in Historical Dynamical Downscaling for South Asia
Table 5
Comparison of the root-mean-square error (RMSE) and spatial correlation (SCORR) of SSBC_Def and SSBC_New for variables such as the wind vector (m s−1), relative humidity (%), temperature (°C), and geopotential height (m) at 850 hPa from the ERA-interim (see Figures 9 and 10 for more details). The bold and the bold italic parts for both JJA and DJF show stronger correlation and less errors.
Domain
Wind
Relative humidity
Air temperature
Geopotential height
SSBC_Def
SSBC_New
SSBC_Def
SSBC_New
SSBC_Def
SSBC_New
SSBC_Def
SSBC_New
RMSE
SCORR
RMSE
SCORR
RMSE
SCORR
RMSE
SCORR
RMSE
SCORR
RMSE
SCORR
RMSE
SCORR
RMSE
SCORR
JJA
CORDEX-SA
1.207
0.961
1.054
0.971
15.060
0.873
14.146
0.889
1.000
0.967
1.130
0.957
8.330
0.991
7.806
0.988
SA
1.275
0.940
1.100
0.950
15.597
0.730
14.595
0.795
0.763
0.960
0.987
0.938
9.201
0.993
7.730
0.993
MN
1.308
0.878
0.651
0.898
3.311
0.817
6.264
0.798
0.505
0.956
0.330
0.935
14.746
0.982
12.138
0.966
EIO
0.921
0.943
0.807
0.960
26.366
−0.469
23.287
0.237
0.731
0.983
0.580
0.959
5.622
0.974
5.022
0.996
WG
1.220
0.680
1.215
0.675
1.582
0.914
4.795
0.819
0.654
0.980
0.531
0.988
9.238
0.999
6.343
0.996
DJF
CORDEX-SA
1.003
0.908
0.932
0.925
13.080
0.855
12.891
0.864
0.761
0.995
0.812
0.995
5.335
0.951
6.849
0.926
SA
0.891
0.902
0.909
0.929
14.222
0.860
12.241
0.915
0.539
0.996
0.464
0.997
6.047
0.920
6.967
0.934
MN
0.732
0.852
0.910
0.790
13.144
0.897
8.311
0.895
0.568
0.962
0.666
0.939
5.568
0.984
6.534
0.966
EIO
1.162
0.817
0.991
0.880
18.228
0.500
15.390
0.733
0.331
0.494
0.347
0.482
5.637
0.596
3.898
0.690
WG
0.963
0.773
0.607
0.889
7.405
0.967
8.034
0.958
0.174
0.932
0.202
0.912
4.305
0.952
4.668
0.987
Note: the RMSE and SCORR for u and v wind were calculated separately and then the average was taken to calculate the statistics.
