Relative drifts and biases between six ozone limb satellite measurements from the last decade
Artikel i vetenskaplig tidskrift, 2015

As part of European Space Agency's (ESA) climate change initiative, high vertical resolution ozone profiles from three instruments all aboard ESA's Envisat (GOMOS, MIPAS, SCIAMACHY) and ESA's third party missions (OSIRIS, SMR, ACE-FTS) are to be combined in order to create an essential climate variable data record for the last decade. A prerequisite before combining data is the examination of differences and drifts between the data sets. In this paper, we present a detailed analysis of ozone profile differences based on pairwise collocated measurements, including the evolution of the differences with time. Such a diagnosis is helpful to identify strengths and weaknesses of each data set that may vary in time and introduce uncertainties in long-term trend estimates. The analysis reveals that the relative drift between the sensors is not statistically significant for most pairs of instruments. The relative drift values can be used to estimate the added uncertainty in physical trends. The added drift uncertainty is estimated at about 3 % decade-1 (1s). Larger differences and variability in the differences are found in the lowermost stratosphere (below 20 km) and in the mesosphere.

Författare

N. Rahpoe

Universität Bremen

M. Weber

Universität Bremen

A. Rozanov

Universität Bremen

K. Weigel

Universität Bremen

H. Bovensmann

Universität Bremen

J. P. Burrows

Universität Bremen

A. Laeng

Karlsruher Institut für Technologie (KIT)

G. Stiller

Karlsruher Institut für Technologie (KIT)

T. von Clarmann

Karlsruher Institut für Technologie (KIT)

E. Kyrölä

Finnish Meteorological Institute

V. F. Sofieva

Finnish Meteorological Institute

J. Tamminen

Finnish Meteorological Institute

K. Walker

University of Toronto

D. Degenstein

University of Saskatchewan

A. E. Bourassa

University of Saskatchewan

R. Hargreaves

University of York

Old Dominion University

P. Bernath

University of York

Joachim Urban

Chalmers, Rymd- och geovetenskap, Global miljömätteknik och modellering

Donal Murtagh

Chalmers, Rymd- och geovetenskap, Global miljömätteknik och modellering

Atmospheric Measurement Techniques

1867-1381 (ISSN) 1867-8548 (eISSN)

Vol. 8 4369-4381

Ämneskategorier

Meteorologi och atmosfärforskning

DOI

10.5194/amt-8-4369-2015