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Quality assurance of surface wind observations from automated weather stations

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Jiménez, Pedro A. and González Rouco, J. Fidel and Navarro, Jorge and Montávez, Juan P. and García Bustamante, Elena (2010) Quality assurance of surface wind observations from automated weather stations. Journal of atmospheric and Oceanic Technology, 27 (7). pp. 1101-1122. ISSN 0739-0572

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Official URL: http://dx.doi.org/10.1175/2010JTECHA1404.1


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Abstract

Meteorological data of good quality arc important for understanding both global and regional climates In this respect, great efforts have been made to evaluate temperature- and precipitation-related records This study summarizes the evaluations made to date of the quality of wind speed and direction records acquired at 41 automated weather stations in the northeast of the Iberian Peninsula Observations were acquired from 1992 to 2005 at a temporal resolution of 10 and 30 min A quality assurance system was imposed to select) the records for 1) manipulation errors associated with storage and management of the data. 2) consistency limits to to ensure that observations ale within their natural limits of variation, and 3) temporal consistency to assess abnormally low/high variations in the individual time series In addition. the most important biases of the dataset are analyzed and corrected wherever possible A total of 1 8% wind speed and 3 7% wind direction records was assumed invalid. pointing to specific problems in wind measurement The study not only tiles to contribute to the science with the creation of a wind damsel of unmoved quality. but it also reports on potential errors that could be plc:sent in other wind datasets


Item Type:Article
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© 2010 American Meteorological Society. This project was accomplished within the collaboration agreement 091153 between UCM and CIEMAT, and it was partially funded by projects CGL2005-06966-C07/CLI and PSE-120000-2008-9 We thank the Navarra Government for providing us with the wind dataset used in this study. We also like to thank the reviewers for their helpful comments.

Uncontrolled Keywords:Meteorological data; Precipitation data; Daily temperature; Complex terrain; United-states; Climate data; Homogeneity; Maximum; Regionalization; Performance
Subjects:Sciences > Physics > Astrophysics
Sciences > Physics > Astronomy
ID Code:36226
Deposited On:08 Mar 2016 15:51
Last Modified:10 Dec 2018 15:05

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