Research Article

Statistical Analysis of Relationship between Daytime Lidar-Derived Planetary Boundary Layer Height and Relevant Atmospheric Variables in the Semiarid Region in Northwest China

Table 4

Statistical correlations between PBLH and air temperature at different heights and at different times (r: Pearson correlation coefficient).

Height 10:00 12:00 14:00 16:00 18:00
(m)rrrrr

00.570.750.660.640.63
1000.550.740.660.640.62
2000.530.730.650.630.61
3000.520.720.650.620.60
4000.480.710.650.610.59
5000.450.700.650.600.58
6000.410.680.640.590.57
7000.390.670.640.570.56
8000.360.650.640.560.55
9000.340.640.640.550.54
10000.320.630.640.540.53
12500.280.590.630.500.50
15000.250.580.630.480.48
17500.260.570.630.480.48
20000.260.570.630.470.47
22500.250.560.620.460.46
25000.260.560.620.460.46
27500.250.550.620.450.45
30000.260.550.620.450.45
32500.250.540.610.430.43
35000.250.540.610.430.43
37500.240.530.600.420.42
40000.250.530.600.420.42
42500.250.530.600.420.42
45000.250.530.600.410.41
47500.250.530.600.410.41
50000.250.530.590.410.41

Significant correlation at the 0.05 significance level.
Significant correlation at the 0.01 significance level.