The WMO 2014 Scientific Assessment of Ozone Depletion is available here.
The ozone layer protects life on Earth from ultraviolet solar radiation and plays an important role on the radiation budget of the atmosphere. Its evolution is intimately coupled to climate change. Ozone_cci aims at generating new high-quality satellite data sets that are essential to assess the fate of atmospheric ozone and better understand its link with anthropogenic activities. Read more »
Venue: Ludwig-Maximilians University, Munich Read more »
As part of the Ozone-CCI project, the full cloud-free dataset from IASI/MetOp which provides a twice daily global coverage, have been reprocessed with the latest FORLI-O3 V1. The figure shows the zonal representation as a function of time of daily IASI O3 number density (1x1012 molecules/cm3) at 35 km (top), 19 km (middle), 10 km (middle) and 6 km (bottom) which are altitude levels corresponding to maximum of sensitivity in four decorrelated partial columns.
credit: Catherine Wespes Read more »
As part of the Ozone-CCI project, the full OMI/Aura mission has been recently reprocessed using the BIRA-IASB total ozone retrieval algorithm GODFITv3. With a high spatial resolution and a daily full coverage, the OMI instrument allows a careful monitoring of the atmosphere and of the specific events, such as the ozone hole. Read more »
(a) GOME-2 surface to 450 hPa layer ozone gridded (1.125) monthly mean for September 2008. Pixels have been strictly cloud-cleared such that only pixels with a cloud fraction of <0.2 and cloud top pressure of >700 hPa remain; (b) a priori for GOME-2 retrieval (all pixels); (c) TOMCAT model with satellite sampling, (d) TOMCAT model with GOME-2 averaging kernels also applied; (e) correlation of (a) and (c) with associated bias and standard deviation; (f) correlation of (a) and (d). The vertical and horizontal black lines in panels (e) and (f) indicate the respective standard deviations of those data sampled along the TOMCAT axis, and the numbers of points in log10 units are indicated by the colour bar. Read more »
HARMOZ dataset created in the Ozone-cci project has been used in the recent WMO ozone assessment for evaluation of ozone trends
Figure adapted from WMO ozone assessment (2014): ozone trend in % per decade derived from average ozone anomalies of the HARMOZ data set. Gray shading indicates regions where the trends are not significant at the 2σ level. Read more »