Advances in Meteorology / 2014 / Article / Tab 9 / Research Article
Prediction of Tropical Cyclones’ Characteristic Factors on Hainan Island Using Data Mining Technology Table 9 The results of statistical significance tests for each equation used to forecast corresponding characteristic factor in forecast model 1 and forecast model 2.
Forecast hour Area number Forecast model (1 or 2) -square/ value for LAT -square/ value for LON -square/ value for AP -square/ value for WS24 h 1 1 0.5883/9.52 × 10−11 0.6011/7.91 × 10−9 0.6222/4.46 × 10−10 0.7615/5.47 × 10−15 2 0.4493/2.26 × 10−32 0.5809/5.93 × 10−50 0.7030/1.31 × 10−68 0.7731/1.01 × 10−81 2 1 0.7177/1.86 × 10−14 0.4391/3.66 × 10−5 0.7556/5.03 × 10−16 0.7995/3.57 × 10−18 2 0.6808/5.17 × 10−101 0.6753/1.77 × 10−99 0.7481/2.13 × 10−122 0.7277/3.71 × 10−114 3 1 0.6471/6.36 × 10−11 0.6559/3.48 × 10−11 0.6310/1.83 × 10−10 0.6495/3.24 × 10−10 2 0.6802/6.46 × 10−94 0.7506/1.19 × 10−114 0.5509/1.40 × 10−62 0.5573/9.84 × 10−65 4 1 0.7572/1.05 × 10−12 0.5348/3.32 × 10−8 0.7594/1.15 × 10−13 0.8174/2.47 × 10−15 2 0.6405/4.83 × 10−42 0.6266/1.64 × 10−40 0.6903/1.01 × 10−44 0.7652/9.25 × 10−57 5 1 0.5031/2.40 × 10−6 0.5154/1.51 × 10−6 0.8732/2.73 × 10−14 0.8524/5.03 × 10−15 2 0.6239/2.84 × 10−35 0.6464/1.67 × 10−37 0.7835/6.98 × 10−52 0.7550/1.52 × 10−48 48 h 1 1 0.1337/0.0240 0.3943/3.91 × 10−5 0.3208/1.77 × 10−4 0.4725/5.34 × 10−6 2 0.2177/0.0049 0.0399/0.3398 0.2532/0.0016 0.4275/7.92 × 10−6 2 1 0.4515/9.05 × 10−6 0.2668/0.0218 0.6720/1.72 × 10−10 0.4622/5.99 × 10−6 2 0.4022/1.64 × 10−36 0.3095/6.51 × 10−26 0.2960/5.05 × 10−23 0.3332/6.27 × 10−27 3 1 0.2251/0.0218 0.3935/4.57 × 10−5 0.0026/0.7270 0.1362/0.1596 2 0.3073/6.18 × 10−25 0.4369/2.13 × 10−39 0.1768/2.51 × 10−12 0.2479/8.91 × 10−18 4 1 0.4992/9.60 × 10−7 0.3055/2.74 × 10−4 0.4303/1.53 × 10−5 0.6249/1.84 × 10−9 2 0.3323/3.77 × 10−16 0.3270/1.02 × 10−16 0.2471/1.70 × 10−9 0.3580/3.65 × 10−16 5 1 0.4546/6.19 × 10−5 0.2554/0.0043 0.3705/1.91 × 10−4 0.3535/0.0012 2 0.4219/1.09 × 10−18 0.3825/3.44 × 10−17 0.2120/2.18 × 10−7 0.3322/2.46 × 10−12