Global Navigation Satellite System (GNSS) signals reflected off the sea surface can be used for remote sensing of the sea level. We present results from a GNSS-based tide gauge using standard geodetic-type GNSS receivers for receiving both the reflected and the direct GNSS signals. The local sea level is then obtained using relative geodetic processing of the carrier phase delay.We show results from our analysis of 100 days of GNSS data from the Onsala Space Observatory (OSO). The GNSS-derived sea level is compared to a weighted average of sea level observations from two stilling well gauges located 18 km and 33 km away from OSO. The comparison shows a high level of agreement with a correlation coefficient of 0.96. Furthermore, the standard...
This paper presents a method to derive local sea level variations using data from a single geodetic-...
Global sea level rise and local sea level variations due to climate change has the potential for a s...
We present sea level observations derived from the analysis of signal-to-noise ratio (SNR) data reco...
By receiving Global Navigation Satellite System (GNSS) signals that are reflected off the sea surfac...
Sea level rise due to global warming is predicted to have a large impact on human society, especiall...
Sea-level rise due to global warming is predicted to have a large impact on human society, especiall...
A continuous monitoring of coastal sea level changes is important for human society since it is pred...
We present first results from the analysis of high-rate obser-vations with a GNSS-based tide gauge a...
We present first results from the analysis of high-rate observations with a GNSS-based tide gauge at...
A continuous monitoring of sea level changes is im-portant for human society since more than 50 % of...
We use standard geodetic Global Navigation Satellite System (GNSS) equipment to perform remote sensi...
Global Positioning System (GPS) tide gauges have been realized in different configurations, e.g., wi...
Information on sea level and its changes are important in connection to global change processes. For...
International audienceWe propose to derive local sea level variations by using the Signal-to-Noise R...
Several experiments have been carried out with the GNSS-based tide gauge at the Onsala Space Observa...
This paper presents a method to derive local sea level variations using data from a single geodetic-...
Global sea level rise and local sea level variations due to climate change has the potential for a s...
We present sea level observations derived from the analysis of signal-to-noise ratio (SNR) data reco...
By receiving Global Navigation Satellite System (GNSS) signals that are reflected off the sea surfac...
Sea level rise due to global warming is predicted to have a large impact on human society, especiall...
Sea-level rise due to global warming is predicted to have a large impact on human society, especiall...
A continuous monitoring of coastal sea level changes is important for human society since it is pred...
We present first results from the analysis of high-rate obser-vations with a GNSS-based tide gauge a...
We present first results from the analysis of high-rate observations with a GNSS-based tide gauge at...
A continuous monitoring of sea level changes is im-portant for human society since more than 50 % of...
We use standard geodetic Global Navigation Satellite System (GNSS) equipment to perform remote sensi...
Global Positioning System (GPS) tide gauges have been realized in different configurations, e.g., wi...
Information on sea level and its changes are important in connection to global change processes. For...
International audienceWe propose to derive local sea level variations by using the Signal-to-Noise R...
Several experiments have been carried out with the GNSS-based tide gauge at the Onsala Space Observa...
This paper presents a method to derive local sea level variations using data from a single geodetic-...
Global sea level rise and local sea level variations due to climate change has the potential for a s...
We present sea level observations derived from the analysis of signal-to-noise ratio (SNR) data reco...