Interpolation of Missing Precipitation Data Using Kernel Estimations for Hydrologic Modeling

Table 9

Sample calculation with certain number.

(a) Epanechnikov

Date	2.10.	2.11.	2.12.	2.13.	2.14.
Prec.	15.0	17.2	6.0	9.1	0.0
Ep. weight	0.417	0.667	—	0.667	0.417
Prec.·weight	6.26	11.47	—	6.07	0.00
Estimation			5.95

(b) Quartic

Date	2.10.	2.11.	2.12.	2.13.	2.14.
Prec.	15.0	17.2	6.0	9.1	0.0
Qu. weight	0.289	0.741	—	0.741	0.289
Prec.·weight	4.34	12.75	—	6.74	0.00
Estimation			5.96

(c) Triweight

Date	2.10.	2.11.	2.12.	2.13.	2.14.
Prec.	15.0	17.2	6.0	9.1	0.0
Tw. weight	0.188	0.768	—	0.768	0.188
Prec.·weight	2.82	13.21	—	6.99	0.00
Estimation			5.75

(d) Tricube

Date	2.10.	2.11.	2.12.	2.13.	2.14.
Prec.	15.0	17.2	6.0	9.1	0.0
Tc. weight	0.301	0.772	—	0.772	0.301
Prec.·weight	4.52	13.28	—	7.03	0.00
Estimation			6.20

(e) Cosine

Date	2.10.	2.11.	2.12.	2.13.	2.14.
Prec.	15.0	17.2	6.0	9.1	0.0
Co. weight	0.393	0.680	—	0.680	0.393
Prec.·weight	5.90	11.70	—	6.19	0.00
Estimation			5.94