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| Influences of Non-standard Algorithm of Automatic Weather Station on Quality of Wind Observation Data |
| Received:June 28, 2018 Revised:August 25, 2018 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7643/ issn.1672-9242.2018.08.020 |
| KeyWord:automatic weather station wind direction wind speed wind rose diagram weighting moving average simple moving average vector moving average |
| Author | Institution |
| XU Wen-qing |
Southwest Technology and Engineering Research Institute, Chongqing , China |
| TANG Qi-huan |
Southwest Technology and Engineering Research Institute, Chongqing , China |
| FU Zhao-xu |
Southwest Technology and Engineering Research Institute, Chongqing , China |
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| Abstract: |
| Objective To make clear the degree of influences of nonstandard algorithm on quality of wind observation data. Methods The data of wind direction and wind speed collected over a long period of normal time were simultaneously counted by standard method and two non-standard methods to count the extreme wind speed in 16-position wind direction and its corresponding wind direction and time, the maximum wind speed and its corresponding wind direction and time, and 2-minute average wind speed, 10-minute average wind speed and the wind direction frequency, including, calm wind. The wind rose diagram of the corresponding parameters was drawn. The error between different algorithms was discussed by comparing the wind-rose graph with the same parameters of different algorithms. Results The statistical results of simple moving average method and vector moving average method for maximum wind speed, maximum wind speed and 10-minute average wind speed at 16 position were very close to the standard method. The statistical results of the five parameters of the simple moving average method of wind speed were very different from those of the standard method. Conclusion The nonstandard algorithm of automatic weather station will reduce the quality of wind observation data. It is essential to improve the quality of meteorological observation data by strengthening the quality management of the supplier of automatic weather station. |
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