检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:王顺 WANG Shun(Shanghai Investigation,Design and Research Institute Co Ltd,388 Yat-sen Road,Shanghai 200434,China)
机构地区:[1]上海勘测设计研究院有限公司,上海市200434
出 处:《大地测量与地球动力学》2024年第1期5-9,共5页Journal of Geodesy and Geodynamics
基 金:国家自然科学基金(42001412)。
摘 要:针对GPT3模型在模拟大气剖面时存在精度不足的问题,在剖析其垂直修正方法的基础上,通过引入新的温度递减率和气压垂直改正算法,提出一种改进的GPT3模型,即GPT3v模型,并使用探空资料、NCEP再分析资料和GNSS数据验证新模型的精度。结果表明,垂直方向上GPT3v模型估计的温度、气压、天顶总延迟平均RMSE分别为6.0 K、7.9 hPa和23.0 mm,相比于GPT3模型的11.1 K、19.0 hPa和47.8 mm,精度分别提高46%、58%和52%。而当IGS测站与其周围4个模型格网点存在较大高差时,GPT3模型会存在较大的对流层延迟估计误差,GPT3v模型则能较好地解决这一问题。相较于GPT3模型,GPT3v模型在高空以及地形复杂区域具有更好的应用效果。In order to solve the problem of insufficient accuracy of the GPT3 model in simulating atmospheric profile,this paper analyzes its vertical correction method and then proposes an improved GPT3 model,namely GPT3v model,by introducing new temperature decline rate and pressure vertical correction algorithm.The new model is validated using sounding data,NCEP reanalysis data and GNSS data validation.The results show that in the vertical direction,the average RMSE values of temperature,pressure,and total zenith delay estimated by the GPT3v model are 6.0 K,7.9 hPa,and 23.0 mm,respectively.Its accuracy is improved by 46%,58%,and 52%,respectively,compared with the GPT3 model’s 11.1 K,19.0 hPa,and 47.8 mm.The compared result of GNSS ZTDs shows that when there is a significant height difference between the station height and the surrounding four model grid points,the GPT3 model has a significant tropospheric delay estimation error,and the GPT3v model effectively overcomes this problem.These results demonstrate that the GPT3v model is superior to GPT3 in high-altitude and complex terrain areas.
分 类 号:P228[天文地球—大地测量学与测量工程]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.222