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Relative drifts and biases between six ozone limb satellite measurements from the last decade

N. Rahpoe ; M. Weber ; A. V. Rozanov ; K. Weigel ; H. Bovensmann ; J. P. Burrows ; A. Laeng ; G. Stiller ; T. von Clarmann ; E. Kyrölä ; V. F. Sofieva ; J. Tamminen ; K. Walker ; D. Degenstein ; A. E. Bourassa ; R. Hargreaves ; P. Bernath ; Joachim Urban (Institutionen för rymd- och geovetenskap, Global miljömätteknik och modellering) ; Donal P. Murtagh (Institutionen för rymd- och geovetenskap, Global miljömätteknik och modellering)
Atmospheric Measurement Techniques (1867-8548). Vol. 8 (2015), 10, p. 4369-4381.
[Artikel, refereegranskad vetenskaplig]

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.

Denna post skapades 2015-12-29. Senast ändrad 2016-01-07.
CPL Pubid: 229240


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Institutioner (Chalmers)

Institutionen för rymd- och geovetenskap, Global miljömätteknik och modellering (2010-2017)


Meteorologi och atmosfärforskning

Chalmers infrastruktur