Table 1.
City | PRE | ARH | SD | AWS | AT | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Lag | CCF | SE | Lag | CCF | SE | Lag | CCF | SE | Lag | CCF | SE | Lag | CCF | SE | |
Binzhou | 0 | −0.036 | 0.015 | 26 | −0.044 | 0.015 | 1 | 0.077 | 0.015 | 3 | 0.110 | 0.015 | 88 | −0.057 | 0.015 |
Dezhou | 67 | −0.058 | 0.015 | 62 | −0.076 | 0.015 | 26 | 0.052 | 0.015 | 10 | 0.074 | 0.015 | 86 | −0.098 | 0.015 |
Dongying | 70 | −0.043 | 0.015 | 76 | −0.065 | 0.015 | 0 | 0.073 | 0.015 | 1 | 0.116 | 0.015 | 90 | −0.081 | 0.015 |
Heze | 0 | −0.053 | 0.015 | 37 | 0.043 | 0.015 | 0 | 0.051 | 0.015 | 86 | −0.063 | 0.015 | 87 | −0.069 | 0.015 |
Jinan | 10 | 0.039 | 0.015 | 57 | −0.043 | 0.015 | 5 | 0.074 | 0.015 | 17 | 0.085 | 0.015 | 3 | 0.101 | 0.015 |
Jining | 8 | 0.041 | 0.015 | 68 | −0.106 | 0.015 | 56 | −0.056 | 0.015 | 18 | 0.122 | 0.015 | 0 | 0.108 | 0.105 |
Liaocheng | 44 | 0.038 | 0.015 | 87 | 0.039 | 0.015 | 6 | 0.053 | 0.015 | 47 | −0.038 | 0.015 | 0 | 0.048 | 0.015 |
Linyi | 26 | −0.031 | 0.015 | 83 | −0.066 | 0.015 | 2 | 0.068 | 0.015 | 11 | 0.082 | 0.015 | 85 | −0.092 | 0.015 |
Qingdao | 18 | 0.052 | 0.015 | 3 | 0.057 | 0.015 | 47 | 0.057 | 0.015 | 87 | 0.071 | 0.015 | 5 | 0.104 | 0.015 |
Rizhao | 32 | 0.037 | 0.015 | 84 | −0.071 | 0.015 | 0 | 0.05 | 0.015 | 36 | 0.044 | 0.015 | 83 | −0.086 | 0.015 |
Weihai | 79 | −0.041 | 0.015 | 16 | 0.087 | 0.015 | 1 | 0.053 | 0.015 | 88 | 0.084 | 0.015 | 90 | −0.156 | 0.015 |
Weifang | 9 | 0.046 | 0.015 | 89 | −0.051 | 0.015 | 26 | 0.058 | 0.015 | 45 | 0.092 | 0.015 | 0 | 0.100 | 0.015 |
Yantai | 10 | 0.054 | 0.015 | 89 | −0.088 | 0.015 | 1 | 0.074 | 0.015 | 81 | 0.080 | 0.015 | 88 | −0.175 | 0.015 |
Zibo | 65 | −0.035 | 0.015 | 77 | −0.062 | 0.015 | 29 | 0.060 | 0.015 | 21 | 0.059 | 0.015 | 84 | −0.056 | 0.015 |
Abbreviations: ARH average relative humidity, AT average temperature, AWS average wind speed, CCF cross-correlation coefficient, PRE precipitation, SD sunshine duration, SE standard error