Retrieving of GNSS Tropospheric Delays From RTKLib in Real-time and Post-processing Mode
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F18%3A10236611" target="_blank" >RIV/61989100:27350/18:10236611 - isvavai.cz</a>
Výsledek na webu
<a href="http://www.springer.com/us/book/9783319612966" target="_blank" >http://www.springer.com/us/book/9783319612966</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Retrieving of GNSS Tropospheric Delays From RTKLib in Real-time and Post-processing Mode
Popis výsledku v původním jazyce
Global Navigation Satellite Systems (GNSS) allow a precise estimation of atmospheric water vapour what is successfully used in weather forecasting, namely in Numerical Weather Prediction (NWP) models. In this study the quality of real-time and post-processed zenith total delay (ZTD) values from GPS (Global Positioning System) Precise Point Positioning (PPP) technique processing is investigated. GPS observations from a month-long period and eight European stations were processed in RTKLIB program package. Two versions of real-time processing solutions using different real-time IGS (International Global Navigation Satellite Systems Service) products (IGS01, IGS03) and two versions of post-processed solutions using different strategies were evaluated. Obtained ZTDs were compared with the final IGS ZTD product. The mean RMSE (root-mean-square error) was 10.3 mm for real-time solution based on the IGS03 real-time product and 12.2 mm for the other solution based on the IGS01 product. Both post-processed solutions reached a mean RMSE of about 5 mm. The better real-time ZTD solution from RTKLIB using IGS03 product was therefore close to the 10mm value defined as a target ZTD accuracy necessary for their usage in NWP models and nowcasting applications in meteorology.
Název v anglickém jazyce
Retrieving of GNSS Tropospheric Delays From RTKLib in Real-time and Post-processing Mode
Popis výsledku anglicky
Global Navigation Satellite Systems (GNSS) allow a precise estimation of atmospheric water vapour what is successfully used in weather forecasting, namely in Numerical Weather Prediction (NWP) models. In this study the quality of real-time and post-processed zenith total delay (ZTD) values from GPS (Global Positioning System) Precise Point Positioning (PPP) technique processing is investigated. GPS observations from a month-long period and eight European stations were processed in RTKLIB program package. Two versions of real-time processing solutions using different real-time IGS (International Global Navigation Satellite Systems Service) products (IGS01, IGS03) and two versions of post-processed solutions using different strategies were evaluated. Obtained ZTDs were compared with the final IGS ZTD product. The mean RMSE (root-mean-square error) was 10.3 mm for real-time solution based on the IGS03 real-time product and 12.2 mm for the other solution based on the IGS01 product. Both post-processed solutions reached a mean RMSE of about 5 mm. The better real-time ZTD solution from RTKLIB using IGS03 product was therefore close to the 10mm value defined as a target ZTD accuracy necessary for their usage in NWP models and nowcasting applications in meteorology.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
10509 - Meteorology and atmospheric sciences
Návaznosti výsledku
Projekt
—
Návaznosti
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Lecture notes in geoinformation and cartography. Volume 1
ISBN
978-3-319-61296-6
ISSN
1863-2246
e-ISSN
1863-2351
Počet stran výsledku
14
Strana od-do
181-194
Název nakladatele
Springer
Místo vydání
Cham
Místo konání akce
Ostrava
Datum konání akce
22. 3. 2017
Typ akce podle státní příslušnosti
CST - Celostátní akce
Kód UT WoS článku
000457178200013