作者: Sunil Bisnath , Karen M. Cove , Marcelo Santos , David Wells
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摘要: Long baseline, carrier-phase differential GPS positioning in a coastal environment poses unique challenges. It is well known that results degrade as baseline length increases due to several sources of error, including the error introduced by troposphere. The effect troposphere on has been extensively discussed numerous researchers, either comparing resolution tropospheric prediction models or assessing delay directly measurements and results. In order improve estimation environment, project undertaken University New Brunswick (UNB) Southern Mississippi (USM). includes extensive meteorological data collection Bay Fundy Canada. goal research examine methods for improving employing various data. This use surface parameters Numerical Weather Prediction (NWP) model For this research, NWP are accessed from Canadian Meteorological Centre’s (CMC) regional National Oceanic Atmospheric Administration’s (NOAA) product. Tropospheric delays modelled compared with those global models. Results paper will demonstrate using estimate environment.