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Determination of ozone loss rates over the Arctic and Antarctic using ozone sonde and satellite data

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Streibel,  M.
CGS Centre for Geological Storage, Geoengineering Centres, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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Zitation

Streibel, M. (2006): Determination of ozone loss rates over the Arctic and Antarctic using ozone sonde and satellite data, PhD Thesis.
URN: http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:kobv:517-opus-6570


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_331301
Zusammenfassung
The subject of this thesis is the destruction of ozone in the stratospheric polar vortex of the Arctic and Antarctic. It is caused by decomposition products of anthropogenic emitted Chlorofluorocarbons and Halons, radicals of chlorine and bromine. Studies which are dealing with the comparison of measured and modelled ozone loss show that the processes are known but that the quantitative development is not fully understood yet. The processes that lead to ozone destruction are similar in both polar vortices. But as a consequence of different meteorological conditions the chemical ozone loss in the arctic polar vortex is less dramatic than over the Antarctic. On average the Arctic polar vortex is stronger perturbed and exhibit a stronger annual variability. In order to distinguish between chemical ozone loss and the dynamical redistribution of ozone in the Arctic vortex the Match method was developed. Air parcels in the polar vortex are probed several times in order to quantify the chemical change in ozone. To identify those air parcels trajectories are calculated using wind fields. When it is possible to connect two measurements by a trajectory within certain quality criteria the difference in ozone can be calculated and is interpreted as chemical ozone loss. Such a coincidence is called a Match. The Match method is a statistical approach which needs many of those doubly probed air parcels in order to draw significant conclusions about the destruction of ozone. So the ozone destruction can be calculated for a certain period in time which gives ozone loss rates. In order to enhance the number of doubly probed air masses an active coordination was established. Within the scope of the thesis Match campaigns were performed during the Arctic winter 2002/2003 and for the first time during the Antarctic winter 2003. The achieved data was used in order to determine ozone loss rates in both polar vortices. The loss rates serve for the evaluation of numerical models but allow as well the direct comparison of ozone loss rates of both polar vortices. The beginning of the winter 2002/2003 is characterized by very low temperatures in the middle and lower stratosphere. Hence, the Match campaign started at the end of November. From January on the polar vortex was strongly dynamically disturbed at certain times. For the height region of 400 to 500 K potential temperature (15-23 km) ozone loss rates and the column loss were determined. The robustness of the ozone loss rates was checked with a variety of different tests. From beginning of the winter until October 2003 the Antarctic polar vortex was very cold and the expansion of the ozone hole area reached record values in late September. From the beginning of June until the beginning of October ozone loss has been calculated in a height region from 400 to 550 K potential temperature. The development of the ozone loss was almost identical on the different height levels. The increase in sunlight led to an increase in ozone loss rates. From mid September the ozone loss rates decreased rapidly and the ozone was completely destroyed between approx. 14 and 21 km. In the last part of the thesis a new algorithm is presented which is based on a multivariate regression in order to calculate ozone loss rates from ozone profiles made by different sensors. At the same time the systematic error between different sensors has to be considered. As an example the approach is shown for the Antarctic Winter 2003 on the 475 K potential temperature level. Beside the ozone profiles from the sondes, data from two satellites experiments have been used. The agreement between the ozone loss rates calculated by the multivariate regression method and those calculated by the single match approach is very good.