Relative drifts and biases between six ozone limb satellite measurements from the last decade
Journal article, 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.
Author
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
Karlsruhe Institute of Technology (KIT)
G. Stiller
Karlsruhe Institute of Technology (KIT)
T. von Clarmann
Karlsruhe Institute of Technology (KIT)
E. Kyrölä
Finnish Meteorological Institute (FMI)
V. F. Sofieva
Finnish Meteorological Institute (FMI)
J. Tamminen
Finnish Meteorological Institute (FMI)
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, Earth and Space Sciences, Global Environmental Measurements and Modelling
Donal Murtagh
Chalmers, Earth and Space Sciences, Global Environmental Measurements and Modelling
Atmospheric Measurement Techniques
1867-1381 (ISSN) 1867-8548 (eISSN)
Vol. 8 10 4369-4381Subject Categories
Meteorology and Atmospheric Sciences
DOI
10.5194/amt-8-4369-2015