Research Article

Statistical Downscaling of ERA-Interim Forecast Precipitation Data in Complex Terrain Using LASSO Algorithm

Table 4

Comparison of downscaling methods, as well as the original ERA-Interim forecast data in precipitation occurrence in the validation period 1999–2010.

SiteCR
ERALOCIQMStepwiseLASSO

COV0.760.850.840.82 0.82
WFJ0.780.820.820.85 0.85
SAE0.830.840.840.84 0.84
GSB0.830.830.820.85 0.85
GUE0.780.810.820.83 0.83
PIL0.810.840.840.83 0.83
MLS0.760.830.830.84 0.84
SAM0.680.860.850.84 0.84
DOL0.860.880.880.86 0.85
CIM0.770.850.840.87 0.87
SBE0.740.830.820.86 0.86
ZER0.740.840.840.84 0.84
CHA0.800.850.850.83 0.83
DAV0.750.840.840.85 0.84
MVE0.740.830.830.85 0.85
NAP0.810.850.850.84 0.84
ULR0.750.840.830.84 0.84
SCU0.690.860.860.85 0.85
FRE0.820.870.870.85 0.85
DIS0.750.840.840.83 0.83
ROB0.760.840.830.86 0.86
ENG0.800.820.820.84 0.84
CDF0.840.860.870.85 0.85
PIO0.710.840.830.87 0.87
STG0.810.850.840.84 0.84
VIS0.680.850.850.85 0.85
RUE0.780.850.840.83 0.83
FAH0.810.860.860.85 0.85
INT0.790.850.850.85 0.85
CHU0.710.840.830.84 0.84
SMA0.800.860.860.83 0.83
BER 0.770.860.860.85 0.85
TAE0.800.860.860.85 0.85
GLA0.790.840.840.86 0.86
PAY0.760.860.850.85 0.85
WAE0.810.850.850.84 0.85
NEU0.770.870.860.85 0.85
SIO0.690.870.870.87 0.88
VAD0.760.860.850.85 0.85
PUY0.790.870.860.86 0.86
CGI0.780.880.880.87 0.87
LUZ0.770.840.840.84 0.84
REH0.790.850.850.83 0.84
GUT0.780.840.840.84 0.84
SHA0.780.850.850.83 0.83
ALT0.770.840.840.84 0.84
KLO0.790.850.850.84 0.84
WYN0.790.860.860.85 0.85
GVE0.780.880.870.86 0.86
AIG0.780.860.860.87 0.86

Average0.770.850.850.850.85