2018
DOI: 10.1029/2018ja025621
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Statistical Characteristics of Polar Cap Patches Observed by RISR‐C

Abstract: Polar cap “patches” are ~100 to 1,000 km islands of high‐density plasma at polar latitudes, which can cause scintillation to communication and navigation signals. An automatic algorithm for patch identification has been developed and applied to the observations from the Resolute Bay Incoherent Scatter Radar‐Canada during January to March and September to December, 2016. Four hundred thirty‐seven patches have been identified, and their statistical characteristics have been studied, including their occurrence ra… Show more

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Cited by 23 publications
(31 citation statements)
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“…Note that this value might increase to 30% or less if a 60‐min sliding window de‐trending method is utilized (not shown here). Nevertheless, these amplitudes remain substantially smaller than typical patch amplitudes around 200% (Ren et al, ).…”
Section: Resultsmentioning
confidence: 72%
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“…Note that this value might increase to 30% or less if a 60‐min sliding window de‐trending method is utilized (not shown here). Nevertheless, these amplitudes remain substantially smaller than typical patch amplitudes around 200% (Ren et al, ).…”
Section: Resultsmentioning
confidence: 72%
“…(2) The scale size of zonal wave fronts was persistently much larger than that of plasma structures such as polar patches. Nevertheless, these amplitudes remain substantially smaller than typical patch amplitudes around 200% (Ren et al, 2018). The wave fronts of these zonal structures formed almost continuous vertical lines in the keogram and were very well organized periodically, suggesting significant spatial coherence of the structures.…”
Section: High Latitudesmentioning
confidence: 79%
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“…Despite this, an automated method for the detection of patches in ISR data has yet to be developed, even though such algorithms have been created for other instruments and data sets (which we will discuss in the next section). (Authors note: Unbeknownst to the authors of this article, Ren et al () submitted a manuscript introducing a patch detection algorithm for the RISR‐C radar less than a month after the current article was first submitted.) The principal goals of the work reported here are (1) to remedy this ISR shortcoming by establishing an algorithm that effectively identifies patches within the field‐of‐view (FOV) of the RISR‐N and (2) to show first results emerging from this procedure.…”
Section: Introductionmentioning
confidence: 99%
“…While earlier such studies were focusing on the patch density (e.g., Coley & Heelis, 1998;David et al, 2016;Jin et al, 2019;Moen et al, 2007Moen et al, , 2015Ren et al, 2018;Sojka et al, 1994). While earlier such studies were focusing on the patch density (e.g., Coley & Heelis, 1998;David et al, 2016;Jin et al, 2019;Moen et al, 2007Moen et al, , 2015Ren et al, 2018;Sojka et al, 1994).…”
Section: 1029/2019ja027020mentioning
confidence: 99%