Physics
Scientific paper
Aug 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005georl..3216808p&link_type=abstract
Geophysical Research Letters, Volume 32, Issue 16, CiteID L16808
Physics
12
Atmospheric Composition And Structure: Aerosols And Particles (0345, 4801, 4906), Atmospheric Composition And Structure: Instruments And Techniques, Atmospheric Processes: Theoretical Modeling, Atmospheric Processes: Remote Sensing, Atmospheric Processes: Instruments And Techniques
Scientific paper
We present a new Umkehr ozone profile retrieval algorithm (UMK04) that has been optimized for the study of monthly mean anomalies (MMA) to assess climate variability in multi-year time series. Although the Umkehr technique is too noisy to monitor short-term variability in atmospheric ozone, it is capable of monitoring long-term changes in MMA with less then 5% uncertainty in the stratosphere, and with no influence from a priori information. By examining the information content of UMK04 we conclude that Umkehr data contain useful information about long-term ozone trend down to the surface, provided the data are analyzed as column ozone amounts in 8-layers, consisting of two ~9.6 km layers in the lower atmosphere (253-1013, 63-253 hPa), five ~4.8 km layers (32-63, 16-32, 8-16, 4-8, 2-4 hPa) in the stratosphere, plus a broad top layer spanning from 0-4 hPa.
Bhartia Pawan K.
Deluisi John J.
Petropavlovskikh Irina
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