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Ray McGrath
,
Tido Semmler
,
Conor Sweeney
, and
Shiyu Wang

Abstract

Radiosonde data are a valuable resource in the detection of climate change in the upper atmosphere. Long time series of stratospheric temperature data, carefully screened and corrected to remove errors, are available for this purpose. Normal reporting practice usually ascribes a fixed time and position (the station location) to all data reported in the ascent. In reality, the ascent may take around 90 min to complete and the spatial drift of the radiosonde may exceed 200 km. This note examines the magnitude of the errors associated with this practice using simulated radiosonde data generated from the ECMWF reanalysis archive. The results suggest that the temperature errors, while generally small in the troposphere, are locally significant in the stratosphere, particularly in the jet stream areas. However, the impact of the drift errors on global climate statistics is very small. Errors in the wind and humidity data are also examined.

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EC-Earth

A Seamless Earth-System Prediction Approach in Action

Wilco Hazeleger
,
Camiel Severijns
,
Tido Semmler
,
Simona Ştefănescu
,
Shuting Yang
,
Xueli Wang
,
Klaus Wyser
,
Emanuel Dutra
,
José M. Baldasano
,
Richard Bintanja
,
Philippe Bougeault
,
Rodrigo Caballero
,
Annica M. L. Ekman
,
Jens H. Christensen
,
Bart van den Hurk
,
Pedro Jimenez
,
Colin Jones
,
Per Kållberg
,
Torben Koenigk
,
Ray McGrath
,
Pedro Miranda
,
Twan van Noije
,
Tim Palmer
,
José A. Parodi
,
Torben Schmith
,
Frank Selten
,
Trude Storelvmo
,
Andreas Sterl
,
Honoré Tapamo
,
Martin Vancoppenolle
,
Pedro Viterbo
, and
Ulrika Willén
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