Version 1
: Received: 10 February 2020 / Approved: 11 February 2020 / Online: 11 February 2020 (09:36:52 CET)
How to cite:
Ansari, K.; Bae, T.; Inyurt, S. Global Positioning System Interferometric Reflectometry for Accurate Tide Gauge Measurement: Insights from South Beach, Oregon, United States. Preprints2020, 2020020142. https://doi.org/10.20944/preprints202002.0142.v1
Ansari, K.; Bae, T.; Inyurt, S. Global Positioning System Interferometric Reflectometry for Accurate Tide Gauge Measurement: Insights from South Beach, Oregon, United States. Preprints 2020, 2020020142. https://doi.org/10.20944/preprints202002.0142.v1
Ansari, K.; Bae, T.; Inyurt, S. Global Positioning System Interferometric Reflectometry for Accurate Tide Gauge Measurement: Insights from South Beach, Oregon, United States. Preprints2020, 2020020142. https://doi.org/10.20944/preprints202002.0142.v1
APA Style
Ansari, K., Bae, T., & Inyurt, S. (2020). Global Positioning System Interferometric Reflectometry for Accurate Tide Gauge Measurement: Insights from South Beach, Oregon, United States. Preprints. https://doi.org/10.20944/preprints202002.0142.v1
Chicago/Turabian Style
Ansari, K., Tae-Suk Bae and Samed Inyurt. 2020 "Global Positioning System Interferometric Reflectometry for Accurate Tide Gauge Measurement: Insights from South Beach, Oregon, United States" Preprints. https://doi.org/10.20944/preprints202002.0142.v1
Abstract
Global Positioning System (GPS) stations located along coastal areas have the ability to measure tide gauge (TG) records by reflected signal reception from the sea water surface. In this study we used the GPS signal-to-noise ratio (SNR) data from the SEPT station (44.63 ⁰N, 124.05 ⁰W) located at South Beach, Oregon, USA, to estimate the TG records using only a few measurements. First, we derived the TG record from a GPS station (GPS-TG) and used traditional TG data from the National Water Level Observation Network (NWLON) sentinel station (Station ID: 9435380) located in Oregon for validation purposes because it was closest to the SEPT station. Our results show that the GPS-TG and NWLON-TG correlate well with the correlation coefficient (CC) of 0.942 and the root mean square (RMS) of their residuals was about 12.90 cm. The corresponding TG prediction by autoregressive moving average (ARMA-TG) and singular spectrum analysis (SSA-TG) models are evaluated for their effectiveness over the station. The comparative analysis demonstrates that the GPS-TG has improved correlation with ARMA-TG (CC of ~0.981 CC, RMS of ~4.80 cm), and SSA-TG (CC of ~0.998 CC, RMS of ~ 0.88 cm) compared to the NWLON-TG (CC of ~0.942 CC, RMS of ~12.90 cm) values. We believe the outcomes from this study contribute to a better understanding of the numerical modeling of TG records as well as other measurements based on reflectometry techniques.
Keywords
SSA; ARMA; GPS; TG; SEPT
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
