ISSN 1000-0526
CN 11-2282/P
CN 11-2282/P
Archive > Volume 43 Issue 5 > 2017,43(5):598-609. DOI:10.7519/j.issn.1000-0526.2017.05.009 Prev Next
Quality Control and Quality Analysis of Aircraft Meteorological Data
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Abstract:
In this paper, a quality control system was established based on the AMDAR quality control method from NCEP. Using oneyear AMDAR dataset, the system was tested and the characteristics of each AMDAR data quality type were examined. The main conclusions are as follows. (1) The hourly rejection rate of AMDAR data through year 2014 is 5.79%, and most of the rejections occur in near duplicate check. (2) There is a significant diurnal variation feature for both quantity and quality of AMDAR data. Duplicate reports increase with the growth of data quantity, while suspicious and disorderly reports decrease with the growth of data quantity. (3) The characteristics of the data quality are different in different height layers. Quality problems mainly occur in the nearsurface layer, and the heights where the power or the phase of aircraft are adjusted. (4) The result of near duplicate check is highly sensitive to the threshold of lat/lon, which mainly occurs in the upper layers, and the impact of height threshold happens in the lower layers. (5) The averaged global temperature after data quality control is higher than original reports at each height, while the averaged wind speed becomes lower than the original.
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