quality control of the rmi's aws wind observations
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ID: 214799
2016
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Abstract
Wind observations are important for a wide range of domains including among
others meteorology, agriculture and extreme wind engineering. To ensure the
provision of high quality surface wind data over Belgium, a new
semi-automated data quality control (QC) has been developed and applied to
wind observations from the automated weather stations operated by the Royal
Meteorological Institute of Belgium. This new QC applies to 10 m 10 min
averaged wind speed and direction, 10 m gust speed and direction, 2 m 10 min
averaged wind speed and 30 m 10 min averaged wind speed records. After an
existence test, automated procedures check the data for limits consistency,
internal consistency, temporal consistency and spatial consistency. At the
end of the automated QC, a decision algorithm attributes a flag to each
particular data point. Each day, the QC staff analyzes the preceding day's
observations in the light of the assigned quality flags.
| Reference Key |
bertrand2016advancesquality
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|---|---|
| Authors | ;C. Bertrand;L. González Sotelino;M. Journée |
| Journal | proceedings of the 2017 ieee russia section young researchers in electrical and electronic engineering conference, elconrus 2017 |
| Year | 2016 |
| DOI |
10.5194/asr-13-13-2016
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| URL | |
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