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 »
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 »
Linear total ozone trend estimates 1995–2013 from satellite data GTO-ECV CCI Read more »
Credits: S. Safieddine (LATMOS)
Reference to paper : Safieddine, S., Boynard, A., Coheur, P.-F., Hurtmans, D., Pfister, G., Quennehen, B., Thomas, J. L., Raut, J.-C., Law, K. S., Klimont, Z., Hadji-Lazaro, J., George, M., and Clerbaux, C.: Summertime tropospheric ozone assessment over the Mediterranean region using the thermal infrared IASI/MetOp sounder and the WRF-Chem model, Atmos. Chem. Phys., 14, 10119-10131, doi:10.5194/acp-14-10119-2014, 2014. Read more »
The percentage bias between MIPAS ozone data processed at IMK and those of five selected comparison instruments are small in the stratosphere. In the mesosphere (above 50 km) and in the tropopause region (10-15 km) the deviations are larger but also the agreement between the comparison instruments is far less pronounced there.
This validation study assesses both biases and the precision of the measurements. A large number of comparison instruments was involved: the satellite-borne instruments ACE-FTS, GOMOS, HALOE, HIRDLS, IASI, MLS, OSIRIS, POAM, SAGE II, SBUV, SCIAMACHY, SMILES, SMR; ground-based Umkehr measurements and the balloon-borne Mark IV spectrometer. Better agreement with reference instruments than for the previous data version is found: the known high bias around the ozone vmr peak is significantly reduced and the vertical resolution at 35 km has been improved.
For more details see: http://www.atmos-meas-tech.net/7/3971/2014/amt-7-3971-2014.pdf Read more »
Within ESA's Climate Change Initiative, IMK MIPAS ozone data were chosen out of four independent data sets as best suitable MIPAS data product to be used for the "Essential Climate Variable Ozone". The figure shows particularly low standard deviations of the MIPAS IMK ozone product.
In the framework of ESA's Climate Change Initiative multiple ozone data sets are combined to form the "Essential Climate Variable Ozone". Four MIPAS datasets are available, provided by different institutions: the official ESA dataset, based on a data processor developed under leadership of IFAC-CNR in Florence, a dataset based on tomographical processing developed at Bologna University, an optimal estimation based dataset from Oxford University, and the ozone product generated with the research processor developed and operated by IMK in cooperation with the IAA-CSIC in Granada. Finally the project's round robin panel has selected the IMK algorithm. Read more »