Paper Info
Title
Improving Data Quality for the Australian High Frequency Ocean Radar Network through Real-Time and Delayed-Mode Quality-Control Procedures.
Abstract
Quality-control procedures and their impact on data quality are described for the High-Frequency Ocean Radar (HFR) network in Australia, in particular for the commercial phased-array (WERA) HFR type. Threshold-based quality-control procedures were used to obtain radial velocity and signal-to-noise ratio (SNR), however, values were set through quantitative analyses with independent measurements available within the HFR coverage, when available, or from long-term data statistics. An artifact removal procedure was also applied to the spatial distribution of SNR for the first-order Bragg peaks, under the assumption the SNR is a valid proxy for radial velocity quality and that SNR decays with range from the receiver. The proposed iterative procedure was specially designed to remove anomalous observations associated with strong SNR peaks caused by the 50 Hz sources. The procedure iteratively fits a polynomial along the radial beam (1-D case) or a surface (2-D case) to the SNR associated with the radial velocity. Observations that exceed a detection threshold were then identified and flagged. After removing suspect data, new iterations were run with updated detection thresholds until no additional spikes were found or a maximum number of iterations was reached.
Year
DOI
Venue
2018
10.3390/rs10091476
REMOTE SENSING
Keywords
Field
DocType
HF ocean radar systems,quality control,remote-sensing
Data quality,Remote sensing,Quality control,Geology,Radar network
Journal
Volume
Issue
ISSN
10
9
2072-4292
Citations 
PageRank 
References 
1
0.63
1
Authors
4
Name
Order
Citations
PageRank
Simone Cosoli172.54
Badema Grcic210.63
Stuart de Vos310.63
Yasha Hetzel4242.74