Advances in Meteorology / 2015 / Article / Tab 9

Research Article

Interpolation of Missing Precipitation Data Using Kernel Estimations for Hydrologic Modeling

Table 9

Sample calculation with certain number.
(a) Epanechnikov

Date2.10.2.11.2.12.2.13.2.14.

Prec.15.017.26.09.10.0

Ep. weight0.4170.6670.6670.417

Prec.·weight6.2611.476.070.00

Estimation5.95

(b) Quartic

Date2.10.2.11.2.12.2.13.2.14.

Prec.15.017.26.09.10.0

Qu. weight0.2890.7410.7410.289

Prec.·weight4.3412.756.740.00

Estimation5.96

(c) Triweight

Date2.10.2.11.2.12.2.13.2.14.

Prec.15.017.26.09.10.0

Tw. weight0.1880.7680.7680.188

Prec.·weight2.8213.216.990.00

Estimation5.75

(d) Tricube

Date2.10.2.11.2.12.2.13.2.14.

Prec.15.017.26.09.10.0

Tc. weight0.3010.7720.7720.301

Prec.·weight4.5213.287.030.00

Estimation6.20

(e) Cosine

Date2.10.2.11.2.12.2.13.2.14.

Prec.15.017.26.09.10.0

Co. weight0.3930.6800.6800.393

Prec.·weight5.9011.706.190.00

Estimation5.94