PM_(2.5)对地表温度的影响及其应用
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摘要
采用线性最小二乘原理对从对流层顶10 km至地表0.8 km的温度探空廓线进行拟合,外插地表温度,讨论外插地表温度与实测温度的统计特性。将其应用于GPS气象中的加权平均温度模型发现,基于外插的地表温度能显著提高模型精度,提高约1.2～1.7 K。
In order to avoid the influence of human activities, this paper uses linear least squares to extrapolate surface temperature and to discuss the statistical characteristics of extrapolation surface temperature and the measured temperature. It then applies these results to the weighted average temperature model and finds that the surface temperature based on extrapolation can significantly improve the accuracy of the model by 1.2～1.7 K.
In order to avoid the influence of human activities, this paper uses linear least squares to extrapolate surface temperature and to discuss the statistical characteristics of extrapolation surface temperature and the measured temperature. It then applies these results to the weighted average temperature model and finds that the surface temperature based on extrapolation can significantly improve the accuracy of the model by 1.2～1.7 K.
引文
[1] Jacob D J,Winner D A.Effect of Climate Change on Air Quality[J].Atmospheric Environment,2009,43(1):51-63
[2] Tai A P K,Mickley L J,Jacob D J.Correlations between Fine Particulate Matter (PM2.5) and Meteorological Variables in the United States:Implications for the Sensitivity of PM2.5,to Climate Change[J].Atmospheric Environment,2010,44(32):3 976-3 984
[3] Gao Y,Zhang M,Liu X,et al.Change in Diurnal Variations of Meteorological Variables Induced by Anthropogenic Aerosols over the North China Plain in Summer 2008[J].EGU General Assembly Conference,2016,18:103-118
[4] Wang J,Wang S,Jiang J,et al.Impact of Aerosol-Meteorology Interactions on Fine Particle Pollution During China’s Severe Haze Episode in January 2013[J].Environmental Research Letters,2013,9(9):094002
[5] 夏祥鳌,王明星.气溶胶吸收及气候效应研究的新进展[J].地球科学进展,2004,19(4):630-635(Xia Xiang’ao,Wang Mingxing.Atmospheric Science:A Vigorous Frontier Science[J].Advances in Earth Science,2004,19(4):630-635)
[6] Bevis M,Businger S,Herring T A,et al.GPS Meteorology-Remote Sensing of Atmospheric Water Vapor Using the Global Positioning System[J].Global Engineering Education Conference,1992,59:844- 846
[7] Liu J H,Yao Y B.A New Weighted Mean Temperature Model in China[J].Advance in Space,2018,61:402-412
[2] Tai A P K,Mickley L J,Jacob D J.Correlations between Fine Particulate Matter (PM2.5) and Meteorological Variables in the United States:Implications for the Sensitivity of PM2.5,to Climate Change[J].Atmospheric Environment,2010,44(32):3 976-3 984
[3] Gao Y,Zhang M,Liu X,et al.Change in Diurnal Variations of Meteorological Variables Induced by Anthropogenic Aerosols over the North China Plain in Summer 2008[J].EGU General Assembly Conference,2016,18:103-118
[4] Wang J,Wang S,Jiang J,et al.Impact of Aerosol-Meteorology Interactions on Fine Particle Pollution During China’s Severe Haze Episode in January 2013[J].Environmental Research Letters,2013,9(9):094002
[5] 夏祥鳌,王明星.气溶胶吸收及气候效应研究的新进展[J].地球科学进展,2004,19(4):630-635(Xia Xiang’ao,Wang Mingxing.Atmospheric Science:A Vigorous Frontier Science[J].Advances in Earth Science,2004,19(4):630-635)
[6] Bevis M,Businger S,Herring T A,et al.GPS Meteorology-Remote Sensing of Atmospheric Water Vapor Using the Global Positioning System[J].Global Engineering Education Conference,1992,59:844- 846
[7] Liu J H,Yao Y B.A New Weighted Mean Temperature Model in China[J].Advance in Space,2018,61:402-412