Anchorage buoy station data quality control method and system
A technology of data quality and control methods, applied to measuring devices, using multiple variables to indicate weather conditions, instruments, etc., can solve the problems of data quality control gaps, application and server problems, etc., and achieve the goal of improving accuracy and strengthening quality control Effect
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Embodiment 1
[0085] The preset algorithm is the absolute deviation algorithm, and the expression is:
[0086]
[0087] Among them, X M Denoted as the pattern data, X N Expressed as the comparison data or the correction data, M represents the total number of anchored buoy stations, N represents the total number of times, i is the number of anchored buoy stations, j is the number of times, the absolute deviation value of the correction data When it is smaller than the absolute deviation value of the comparison data, the climatology threshold value is positive correction, otherwise it is negative correction.
Embodiment 2
[0089] The default algorithm is the correlation coefficient algorithm, and the specific expression is:
[0090]
[0091] Among them, X M Denoted as the pattern data, X N Expressed as the comparison data or the correction data, M represents the total number of anchored buoy stations, N represents the total number of times, i is the number of anchored buoy stations, j is the number of times, and the correlation coefficient of the correction data is greater than When the correlation coefficient of the comparison data is used, the climatology threshold value is positively corrected, otherwise it is negatively corrected.
[0092] In any of the above embodiments, preferably, the mode data is data observed by the anchor buoy station in GRAPES mode and / or EC mode.
[0093] In this embodiment, the visibility data of GRAPES was not obtained due to objective reasons, so the EC mode data was used for comparison with the anchored buoy data. It should be noted that, in order to avoid ...
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