冀中南平原区气溶胶标高变化及估算模型研究

作为反映大气气溶胶垂直分布的重要参量,气溶胶标高被广泛应用于气溶胶反演及模型订正研究中.为研究气溶胶标高时空变化规律并构建其简易计算模型,基于2009～2016年气象站点观测资料及MODIS卫星反演数据,利用Peterson模型及多元回归分析对冀中南平原区气溶胶标高进行了估算分析.研究结果表明:区域气溶胶标高夏季最高,...

Variation of Aerosol Scale Height in South Central Hebei Plain and Its Evaluation Model

As an important parameter to reflect the vertical distribution of atmospheric aerosol, aerosol scale height (ASH) has been widely applied to aerosol inversion and model revision. The Peterson Model and Multiple Regression Analysis are employed to evaluate the temporal-spatial variation of aerosol scale height in South Central Hebei Plain (SCHP) and to build its evaluation model based on the meteorological observation data and MODIS satellite inversion data from 2009 to 2016. The results show that the ASH is highest in summer, then in spring and autumn, and lowest in winter. The annual mean ASH is lowest in 2016 during the study period. In addition, the ASH indicated the spatial distribution patterns with high in northeast and low in southwest. And the low ASH mainly located in the piedmont of Taihang Mountain, while the high ASH in the north areas of SCHP. The ASH is significantly correlated to the air temperature, air pressure, ground temperature, relative humidity, vapor pressure and visibility. Using the Multiple Regression Analysis, the empirical estimation model of ASH is built according to the meteorological factors. The analyzing results of empirical model indicate that the meteorological factors could account for the 61.8% variations of ASH. The relative error between MODIS-ASH and simulated ASH is almost less than 10%. Understanding the variation of ASH and estimating the ASH values has important implications for the inversion of aerosol concentration and for the management of atmospheric environment in SCHP.