A Review of Selected Spatial Interpolation Techniques for Tropospheric Delay Problem

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F13%3A00210254" target="_blank" >RIV/68407700:21110/13:00210254 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00025615:_____/13:#0001908

Výsledek na webu

<a href="http://congrexprojects.com/2013-events/13c15/introduction" target="_blank" >http://congrexprojects.com/2013-events/13c15/introduction</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

A Review of Selected Spatial Interpolation Techniques for Tropospheric Delay Problem

Popis výsledku v původním jazyce

Meteorological data from numerical weather models will play an important role in the new strategies of calculating tropospheric delay corrections usable in the processing of data from Global Navigation Satellite Systems. The first part of the paper givesthe introduction of selected techniques and the second part provides the assessment of strategies and the interpretation of results. Three interpolation techniques were studied - bi-linear interpolation as one of the most widely used techniques, the interpolation using cubic spline function and kriging as two alternative methods. The results showed that the bi-linear interpolation method may provide up to three times larger errors compared to the other methods.

Název v anglickém jazyce

A Review of Selected Spatial Interpolation Techniques for Tropospheric Delay Problem

Popis výsledku anglicky

Meteorological data from numerical weather models will play an important role in the new strategies of calculating tropospheric delay corrections usable in the processing of data from Global Navigation Satellite Systems. The first part of the paper givesthe introduction of selected techniques and the second part provides the assessment of strategies and the interpretation of results. Three interpolation techniques were studied - bi-linear interpolation as one of the most widely used techniques, the interpolation using cubic spline function and kriging as two alternative methods. The results showed that the bi-linear interpolation method may provide up to three times larger errors compared to the other methods.

Druh

O - Ostatní výsledky

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0090" target="_blank" >ED1.1.00/02.0090: NTIS - Nové technologie pro informační společnost</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů