Using Numerical Weather Prediction Model Derived Tropospheric Slant Delays in GPS Processing: a Case Study

The troposphere is one of the most significant sources of error in precise GPS (Global Positioning System) positioning solutions nowadays. Uncertainties in troposphere estimation distort the height component especially. We have implemented the troposphere slant delays derived from a numerical weathe...

Full description

Bibliographic Details
Main Authors: Maaria Nordman, Reima Eresmaa, Markku Poutanen, Heikki Järvinen, Hannu Koivula, Juha-pekka Luntama
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2007
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.560.6485
http://www.geophysica.fi/pdf/geophysica_2007_43_1-2_049_nordman.pdf
id ftciteseerx:oai:CiteSeerX.psu:10.1.1.560.6485
record_format openpolar
spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.560.6485 2023-05-15T18:20:16+02:00 Using Numerical Weather Prediction Model Derived Tropospheric Slant Delays in GPS Processing: a Case Study Maaria Nordman Reima Eresmaa Markku Poutanen Heikki Järvinen Hannu Koivula Juha-pekka Luntama The Pennsylvania State University CiteSeerX Archives 2007 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.560.6485 http://www.geophysica.fi/pdf/geophysica_2007_43_1-2_049_nordman.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.560.6485 http://www.geophysica.fi/pdf/geophysica_2007_43_1-2_049_nordman.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.geophysica.fi/pdf/geophysica_2007_43_1-2_049_nordman.pdf text 2007 ftciteseerx 2016-01-08T12:01:44Z The troposphere is one of the most significant sources of error in precise GPS (Global Positioning System) positioning solutions nowadays. Uncertainties in troposphere estimation distort the height component especially. We have implemented the troposphere slant delays derived from a numerical weather prediction model to GPS processing. In this case study we calculated 24 vectors for 61 days, the length of the vectors varying between 110 and 1100 km. When the slant delay is used instead of a standard troposphere model the variation in the positions solution’s up component is reduced considerably. At Sodankylä station (67.42ºN, 26.39ºE), for example, the standard deviation decreases from 5.9 cm to 1.3 cm for this 61-day period if no site-specific troposphere parameters are estimated. We also found that the length of the vector did not greatly affect the variance in the slant delay based positioning solutions. Key words: global positioning system (GPS), tropospheric delay, numerical weather model (NWM) 1. Text Sodankylä Unknown Sodankylä ENVELOPE(26.600,26.600,67.417,67.417)
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
description The troposphere is one of the most significant sources of error in precise GPS (Global Positioning System) positioning solutions nowadays. Uncertainties in troposphere estimation distort the height component especially. We have implemented the troposphere slant delays derived from a numerical weather prediction model to GPS processing. In this case study we calculated 24 vectors for 61 days, the length of the vectors varying between 110 and 1100 km. When the slant delay is used instead of a standard troposphere model the variation in the positions solution’s up component is reduced considerably. At Sodankylä station (67.42ºN, 26.39ºE), for example, the standard deviation decreases from 5.9 cm to 1.3 cm for this 61-day period if no site-specific troposphere parameters are estimated. We also found that the length of the vector did not greatly affect the variance in the slant delay based positioning solutions. Key words: global positioning system (GPS), tropospheric delay, numerical weather model (NWM) 1.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author Maaria Nordman
Reima Eresmaa
Markku Poutanen
Heikki Järvinen
Hannu Koivula
Juha-pekka Luntama
spellingShingle Maaria Nordman
Reima Eresmaa
Markku Poutanen
Heikki Järvinen
Hannu Koivula
Juha-pekka Luntama
Using Numerical Weather Prediction Model Derived Tropospheric Slant Delays in GPS Processing: a Case Study
author_facet Maaria Nordman
Reima Eresmaa
Markku Poutanen
Heikki Järvinen
Hannu Koivula
Juha-pekka Luntama
author_sort Maaria Nordman
title Using Numerical Weather Prediction Model Derived Tropospheric Slant Delays in GPS Processing: a Case Study
title_short Using Numerical Weather Prediction Model Derived Tropospheric Slant Delays in GPS Processing: a Case Study
title_full Using Numerical Weather Prediction Model Derived Tropospheric Slant Delays in GPS Processing: a Case Study
title_fullStr Using Numerical Weather Prediction Model Derived Tropospheric Slant Delays in GPS Processing: a Case Study
title_full_unstemmed Using Numerical Weather Prediction Model Derived Tropospheric Slant Delays in GPS Processing: a Case Study
title_sort using numerical weather prediction model derived tropospheric slant delays in gps processing: a case study
publishDate 2007
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.560.6485
http://www.geophysica.fi/pdf/geophysica_2007_43_1-2_049_nordman.pdf
long_lat ENVELOPE(26.600,26.600,67.417,67.417)
geographic Sodankylä
geographic_facet Sodankylä
genre Sodankylä
genre_facet Sodankylä
op_source http://www.geophysica.fi/pdf/geophysica_2007_43_1-2_049_nordman.pdf
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.560.6485
http://www.geophysica.fi/pdf/geophysica_2007_43_1-2_049_nordman.pdf
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
_version_ 1766197777846501376