海口地区GPS反演大气可降水量中加权平均温度模型构建及其应用
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李光伟, 黄光瑞, 邢峰华, 敖杰
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Construction of weighted mean temperature model in retrieval of atmospheric precipitable water from GPS in Haikou and its application
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LI Guangwei, HUANG Guangrui, XING Fenghua, AO Jie
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表4 2008—2012年海口站加入年积日的Tm多因子回归模型及统计检验结果
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Tab.4 Multi-factor regression models of Tm with day of year factor at Haikou station during 2008-2012 and their statistical tests results
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模型名称 | 模型公式 | a1 | a2 | a3 | a4 | RMSE/K | 决定系数 | FD1* | Tm=40.89+0.83Ts+a_doy | 1.52 | 2.10 | 0.12 | 1.82 | 2.068 | 0.6755 | FD9* | Tm=31.67+0.85Ts+0.035RH+a_doy | 1.65 | 2.10 | 0.16 | 1.71 | 2.043 | 0.6831 | FD11* | Tm=130.34+0.78Ts-0.078Ps+0.03RH+a_doy | 1.89 | 2.06 | 0.08 | 1.58 | 2.032 | 0.6863 | FD15 | Tm=-7.79+0.98Ts+0.06RH-0.11Pes+a_doy | 1.53 | 2.03 | 0.17 | 1.73 | 2.041 | 0.6837 | FD17* | Tm=119.08+1.47Ts-0.71Td-0.08Ps+0.17RH+a_doy | 1.87 | 2.04 | 0.08 | 1.56 | 2.030 | 0.6871 | FD19 | Tm=88.63+0.93Ts-0.08Ps+0.06RH-0.13Pes+a_doy | 1.76 | 1.99 | 0.08 | 1.60 | 2.030 | 0.6870 | FD20* | Tm=90.95+1.43Ts-0.55Td-0.08Ps+0.16RH-0.09Pes+a_doy | 1.78 | 1.99 | 0.08 | 1.58 | 2.029 | 0.6874 |
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