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Map of the New York Harbor where Red triangles are HF radar sites SILD and PORT and blue triangle is NDBC Station ROBN4. Current measurements were taken and averaged from SILD in the bin shown in the figure along with from ESPreSSO as shown by the star.

Map of the New York Harbor where Red triangles are HF radar sites SILD and PORT and blue triangle is NDBC Station ROBN4. Current measurements were taken and averaged from SILD in the bin shown in the figure along with from ESPreSSO as shown by the star.

Source publication
Conference Paper
Full-text available
The Physical Oceanographic Real-Time System (PORTS) is operated in 26 regions of the United States including New York/New Jersey Harbor. This system provides observations and predictions of water level, currents, salinity and meteorological parameters that are used by mariners to safely navigate the coastal waters. HF radar surface current measurem...

Contexts in source publication

Context 1
... 25 MHz radars in the New York Harbor were the focus of this study. The study area can be seen in Figure 1. HF radar data was compared against wind measurements from the National Data Buoy Center (NDBC), discharge measurements from the United States Geological Survey's (USGS) stream gauges, data from the National Oceanic and Atmospheric Administration's Physical Oceanographic Real-Time System (NOAA PORTS), and Rutgers University's Experimental System for Predicting Shelf and Slope Optics Model (ESPreSSO). ...
Context 2
... order to make this comparison, time-series plots of wind measurements from NDBC buoy station ROBN4 were created for each of the large surface current events noticed on the HF radar record. This buoy is in enough proximity to the HF radar SILD on Staten Island to validate comparison, as can be seen in Figure 1. From January 1, 2015 to June 1, 2015 there were 7 large events in terms of surface currents in the New York Harbor that were compared with wind data in this study. ...
Context 3
... NOAA PORTS utilized HF radar data in its prediction of future oceanic conditions, there are undoubtedly times when these predictions are far from accurate, as can be seen in Figures 10 and 11. These instances may just be due to the influence of wind or river flows, as NOAA does not incorporate these factors into their predictions. ...
Context 4
... this comparison was deemed worthy because ESPreSSO's time-series plots of surface current velocities were almost completely wrong in relation to HF radar data. As can be seen in Figure 12, the range of the surface current velocities from the HF radar is about 80 to -90 while the range of surface current velocities in ESPreSSO is about 50 to -70, which is certainly an underestimate. More importantly, however, is the fact that the low pass signature from ESPreSSO is nearly the opposite of the signature from the HF radars. ...

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This paper recommends end to end quality assurance methods and quality control tests for High Frequency Radar Networks. We focus on the network that is operated by the Mid Atlantic Regional Association Coastal Ocean Observing System (MARACOOS). The network currently consists of 38 radars making real-time measurements of the surface currents over the continental shelf for a variety of applications including search and rescue planning, oil spill trajectory modelling and providing a transport context for marine biodiversity observing networks. MARACOOS has been delivering surface current measurements to the United States Coast Guard (USCG) since May 2009. Data quality is important for all applications; however, since the USCG uses this surface current information to plan life-saving missions, delivery of the best quality data is crucial. We have mapped the components of the HF radar data processing chain onto the data levels presented in the NASA Earth Science Reference Handbook and have applied quality assurance and quality control techniques at each data level to achieve the highest quality data. There are approximately 400 High Frequency radars (HFRs) deployed globally and the presented techniques can provide a foundation for data quality checks and standardization of the data collected by the large number of systems operating today.