Geodetic Observatory Pecny GNSS Analysis Supporting Solid Earth Tide Modelling
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F22%3APU143210" target="_blank" >RIV/00216305:26110/22:PU143210 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00025615:_____/22:N0000035
Výsledek na webu
<a href="http://hdl.handle.net/11012/203399" target="_blank" >http://hdl.handle.net/11012/203399</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Geodetic Observatory Pecny GNSS Analysis Supporting Solid Earth Tide Modelling
Popis výsledku v původním jazyce
The TILDE project deals with local solid Earth tide (LSET) modeling based on direct LSET observations using long-term GNSS time series. Geodetic Observatory Pecný of the RIGTC contributes to the TILDE project by processing GNSS data. We collected GNSS data from 98 stations, which were divided into three subnetworks. Quality control of all observational data was performed using advanced tools from the G-Nut library. High-accuracy GNSS processing using the GNSS-PPP method was performed using REPRO_2020 precise products by the CODE. The results were coordinate displacement component data. Based on these data, LSET models from individual critical areas will be created. These LSET models can be used to assess the risks of earthquakes and volcanic activity caused due to LSET.
Název v anglickém jazyce
Geodetic Observatory Pecny GNSS Analysis Supporting Solid Earth Tide Modelling
Popis výsledku anglicky
The TILDE project deals with local solid Earth tide (LSET) modeling based on direct LSET observations using long-term GNSS time series. Geodetic Observatory Pecný of the RIGTC contributes to the TILDE project by processing GNSS data. We collected GNSS data from 98 stations, which were divided into three subnetworks. Quality control of all observational data was performed using advanced tools from the G-Nut library. High-accuracy GNSS processing using the GNSS-PPP method was performed using REPRO_2020 precise products by the CODE. The results were coordinate displacement component data. Based on these data, LSET models from individual critical areas will be created. These LSET models can be used to assess the risks of earthquakes and volcanic activity caused due to LSET.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
10308 - Astronomy (including astrophysics,space science)
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů