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Titel |
Altitude misestimation caused by the Vaisala RS80 pressure bias and its impact on meteorological profiles |
VerfasserIn |
Y. Inai, M. Shiotani, M. Fujiwara, F. Hasebe, H. Vömel |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1867-1381
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Digitales Dokument |
URL |
Erschienen |
In: Atmospheric Measurement Techniques ; 8, no. 10 ; Nr. 8, no. 10 (2015-10-02), S.4043-4054 |
Datensatznummer |
250116623
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Publikation (Nr.) |
copernicus.org/amt-8-4043-2015.pdf |
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Zusammenfassung |
Previous research has found that conventional radiosondes equipped with a
traditional pressure sensor can be subject to a pressure bias, particularly
in the stratosphere. This study examines this pressure bias and the resulting
altitude misestimation, and its impact on temperature, ozone, and water vapor
profiles is considered using data obtained between December 2003 and January 2010
during the Soundings of Ozone and Water in the Equatorial Region (SOWER)
campaigns. The payload consisted of a radiosonde (Vaisala RS80), ozone and
water vapor sondes, and a global positioning system (GPS) sensor. More than
30 soundings are used in this study. As GPS height data are thought to be
highly accurate, they can be used to calculate pressure. The RS80 pressure
bias in the tropical stratosphere is estimated to be −0.4 ± 0.2 hPa
(1σ) between 20 and 30 km. As this pressure bias is negative
throughout the stratosphere, it leads to systematic overestimation of
geopotential height by 43 ± 23, 110 ± 40, and 240 ± 92 m
(1σ) at 20, 25, and 30 km, respectively when it is calculated by using
the hypsometric equation. Because of the altitude overestimation, we see some
offsets in observation parameters having a vertical gradient such as
temperature, ozone, and water vapor. Those offsets in the meteorological
soundings obtained using the RS80 may have generated an artificial trend in
the meteorological records when radiosondes were changed from the RS80, which
had no GPS unit, to the new ones with a GPS unit. Therefore, it is important
to take those offsets into account in climate change studies. |
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