Journal of Applied Mathematics

Research Article

Estimating Potential Evapotranspiration by Missing Temperature Data Reconstruction

Table 1

Correlations of observed temperature data (a) and standardized residuals (b).

(a)


ID stations	11006	11022	11105	11144	11148	22004	22006	22027	22029	22041	22058

11006		0.689	0.78	0.541	0.673	0.719	0.676	0.636	0.539	0.548	0.571
11006		3787	3787	3787	3787	3787	3787	3787	3787	3787	3787

11022	0.689		0.748	0.56	0.635	0.697	0.643	0.583	0.53	0.533	0.582
11022	3787		3787	3787	3787	3787	3787	3787	3787	3787	3787

11105	0.78	0.748		0.57	0.675	0.822	0.746	0.679	0.515	0.555	0.62
11105	3787	3787		3787	3787	3787	3787	3787	3787	3787	3787

11144	0.541	0.56	0.57		0.501	0.567	0.521	0.487	0.386	0.44	0.446
11144	3787	3787	3787		3787	3787	3787	3787	3787	3787	3787

11148	0.673	0.635	0.675	0.501		0.657	0.645	0.613	0.551	0.601	0.536
11148	3787	3787	3787	3787		3787	3787	3787	3787	3787	3787

22004	0.719	0.697	0.822	0.567	0.657		0.727	0.693	0.524	0.537	0.618
22004	3787	3787	3787	3787	3787		3787	3787	3787	3787	3787

22006	0.676	0.643	0.746	0.521	0.645	0.727		0.614	0.52	0.535	0.588
22006	3787	3787	3787	3787	3787	3787		3787	3787	3787	3787

22027	0.636	0.583	0.679	0.487	0.613	0.693	0.614		0.478	0.529	0.535
22027	3787	3787	3787	3787	3787	3787	3787		3787	3787	3787

22029	0.539	0.53	0.515	0.386	0.551	0.524	0.52	0.478		0.54	0.428
22029	3787	3787	3787	3787	3787	3787	3787	3787		3787	3787

22041	0.548	0.533	0.555	0.44	0.601	0.537	0.535	0.529	0.54		0.471
22041	3787	3787	3787	3787	3787	3787	3787	3787	3787		3787

22058	0.571	0.582	0.62	0.446	0.536	0.618	0.588	0.535	0.428	0.471
22058	3787	3787	3787	3787	3787	3787	3787	3787	3787	3787

(b)


ID stations	11006	11022	11105	11144	11148	22004	22006	22027	22029	22041	22058

11006		0.976	0.999	0.989	1	0.999	0.999	0.997	0.92	0.99	0.955
11006		7670	7670	7670	7670	7670	7670	7670	7670	7670	7670

11022	0.976		0.983	0.997	0.972	0.985	0.965	0.956	0.983	0.997	0.997
11022	7670		7670	7670	7670	7670	7670	7670	7670	7670	7670

11105	0.999	0.983		0.994	0.999	1	0.997	0.994	0.934	0.994	0.966
11105	7670	7670		7670	7670	7670	7670	7670	7670	7670	7670

11144	0.989	0.997	0.994		0.986	0.995	0.981	0.975	0.968	1	0.989
11144	7670	7670	7670		7670	7670	7670	7670	7670	7670	7670

11148	1	0.972	0.999	0.986		0.998	1	0.998	0.913	0.987	0.95
11148	7670	7670	7670	7670		7670	7670	7670	7670	7670	7670

22004	0.999	0.985	1	0.995	0.998		0.996	0.992	0.938	0.995	0.968
22004	7670	7670	7670	7670	7670		7670	7670	7670	7670	7670

22006	0.999	0.965	0.997	0.981	1	0.996		1	0.902	0.982	0.941
22006	7670	7670	7670	7670	7670	7670		7670	7670	7670	7670

22027	0.997	0.956	0.994	0.975	0.998	0.992	1		0.887	0.976	0.93
22027	7670	7670	7670	7670	7670	7670	7670		7670	7670	7670

22029	0.92	0.983	0.934	0.968	0.913	0.938	0.902	0.887		0.967	0.995
22029	7670	7670	7670	7670	7670	7670	7670	7670		7670	7670

22041	0.99	0.997	0.994	1	0.987	0.995	0.982	0.976	0.967		0.988
22041	7670	7670	7670	7670	7670	7670	7670	7670	7670		7670

22058	0.955	0.997	0.966	0.989	0.95	0.968	0.941	0.93	0.995	0.988
22058	7670	7670	7670	7670	7670	7670	7670	7670	7670	7670