ASSESSMENT OF RECENT GLOBAL GRAVITY FIELD MODELS BY GNSS/LEVELLING DATA

IF 3.1 Q2 ENGINEERING, GEOLOGICAL International Journal of Engineering and Geosciences Pub Date : 2022-06-24 DOI:10.26833/ijeg.1070042
N. Yilmaz
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Abstract

This paper focuses on making a comparing of GNSS/Levelling data and data obtained from global geopotential models. For comparison, geoid undulations obtained by GNSS/Levelling method and geoid undulations obtained from global geopotential models have been used. As global geopotential models, SGG-UGM-2, XGM2019e_2159, GO_CONS_GCF_2_TIM_R6e, ITSG-Grace2018s, EIGEN-GRGS.RL04.MEAN-FIELD, GOCO06s, GO_CONS_GCF_2_TIM_R6, GO_CONS_GCF_2_DIR_R6 global gravity field models are used. The data sets used in the development of the models are altimetry, satellite (e.g., GRACE, GOCE, LAGEOS), ground data (e.g., terrestrial, shipborne and airborne measurements) and topography. The differences between the geoid undulations obtained from the GNSS/Levelling method and the geoid undulations obtained from the global geoid models have been taken. Some statistical criteria for these differences have been calculated. These criteria, such as smallest, biggest, average, standard deviation, Square Mean RMS statistical values of deviations between GNSS/Levelling geoid and global geopotential models, are taken into consideration when comparing the models. According to the comparison, the global gravity field model that best fits the GNSS/Levelling is selected.
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用gnss /水准资料评估最近的全球重力场模型
本文重点对GNSS/Leveling数据与全球位势模型的数据进行了比较。为了进行比较,使用了GNSS/Leveling方法获得的大地水准面起伏和全球位势模型获得的大地水平面起伏。作为全球位势模型,使用了SGG-UGM-2、XGM2019e_2159、GO_CONS_GCF_2_TIM_R6e、ITSG-GGrace2018s、EIGEN-GRGS.RL04.MEAN-FIELD、GOCO06s、GO_CONS_GCF_2_TIM_R6、GO_CONSF_GCF_2_DIR_R6全球重力场模型。模型开发中使用的数据集包括测高、卫星(如GRACE、GOCE、LAGEOS)、地面数据(如陆地、船载和机载测量)和地形。采用GNSS/Leveling方法获得的大地水准面起伏与全球大地水准面模型获得的大地水平面起伏之间的差异。已经计算出了这些差异的一些统计标准。在比较模型时,考虑了这些标准,如GNSS/水准面大地水准面和全球位势模型之间偏差的最小、最大、平均、标准差、均方RMS统计值。通过比较,选择了最适合GNSS/Leveling的全球重力场模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.00
自引率
0.00%
发文量
12
审稿时长
30 weeks
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