在地基GPS气象学中,湿延迟(zenith wet delay,ZWD)与可降水量(precipitable water vapor,PWV)的转换系数K是一个重要的参数。本文利用中国低纬度地区(20.03°N^28.2°N)20个探空站2008~2011年的探空数据,分析了K值随测站纬度和...在地基GPS气象学中,湿延迟(zenith wet delay,ZWD)与可降水量(precipitable water vapor,PWV)的转换系数K是一个重要的参数。本文利用中国低纬度地区(20.03°N^28.2°N)20个探空站2008~2011年的探空数据,分析了K值随测站纬度和海拔的变化特征,并建立了一种无需站点气象数据,仅与站点纬度、年积日和海拔相关的区域转换系数K值模型。结果表明,各站平均K值分别随纬度、海拔的增大而减小,减小速率分别为0.0002/(°)和0.002/km;本文建立的区域模型的精度与单站模型或者通过加权平均温度(Tm)获得的转换系数K值的精度相当,可用于该区域无气象数据条件下GPS反演PWV。展开更多
In ground-based GPS meteorology, Tm is a key parameter to calculate the conversion factor that can convert the zenith wet delay（ZWD） to precipitable water vapor（PWV）. It is generally acknowledged that Tm is in an ...In ground-based GPS meteorology, Tm is a key parameter to calculate the conversion factor that can convert the zenith wet delay（ZWD） to precipitable water vapor（PWV）. It is generally acknowledged that Tm is in an approximate linear relationship with surface temperature Ts, and the relationship presents regional variation. This paper employed sliding average method to calculate correlation coefficients and linear regression coefficients between Tm and Ts at every 2°× 2.5° grid point using Ts data from European Centre for Medium-Range Weather Forecasts（ECMWF） and Tm data from ＂GGOS Atmosphere＂, yielding the grid and bilinear interpolation-based Tm Grid model. Tested by Tm and Ts grid data, Constellation Observation System of Meteorology, Ionosphere, and Climate（COSMIC） data and radiosonde data, the Tm Grid model shows a higher accuracy relative to the Bevis Tm-Ts relationship which is widely used nowadays. The Tm Grid model will be of certain practical value in high-precision PWV calculation.展开更多
文摘在地基GPS气象学中,湿延迟(zenith wet delay,ZWD)与可降水量(precipitable water vapor,PWV)的转换系数K是一个重要的参数。本文利用中国低纬度地区(20.03°N^28.2°N)20个探空站2008~2011年的探空数据,分析了K值随测站纬度和海拔的变化特征,并建立了一种无需站点气象数据,仅与站点纬度、年积日和海拔相关的区域转换系数K值模型。结果表明,各站平均K值分别随纬度、海拔的增大而减小,减小速率分别为0.0002/(°)和0.002/km;本文建立的区域模型的精度与单站模型或者通过加权平均温度(Tm)获得的转换系数K值的精度相当,可用于该区域无气象数据条件下GPS反演PWV。
基金supported by National Natural Science Foundation of China(41301377)by the Fundamental Research Funds for the Central Universities(2014214020202)by Surveying and Mapping Basic Research Program of National Administration of Surveying,Mapping and Geoinformation(13-02-09)
文摘In ground-based GPS meteorology, Tm is a key parameter to calculate the conversion factor that can convert the zenith wet delay（ZWD） to precipitable water vapor（PWV）. It is generally acknowledged that Tm is in an approximate linear relationship with surface temperature Ts, and the relationship presents regional variation. This paper employed sliding average method to calculate correlation coefficients and linear regression coefficients between Tm and Ts at every 2°× 2.5° grid point using Ts data from European Centre for Medium-Range Weather Forecasts（ECMWF） and Tm data from ＂GGOS Atmosphere＂, yielding the grid and bilinear interpolation-based Tm Grid model. Tested by Tm and Ts grid data, Constellation Observation System of Meteorology, Ionosphere, and Climate（COSMIC） data and radiosonde data, the Tm Grid model shows a higher accuracy relative to the Bevis Tm-Ts relationship which is widely used nowadays. The Tm Grid model will be of certain practical value in high-precision PWV calculation.
