Developing an analysis technique for identification of wave structures in MATS data
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- Institutt for fysikk 
This thesis presents a method for analyzing data gathered during the MATSmission. The MATS mission is a Swedish satellite mission which aims toimprove our understanding of gravity waves in the mesosphere and theirinfluence on the atmosphere. The MATS satellite will be launched in 2019,and observations will mainly be done by imaging the limb of the atmosphere.The development of a technique for analyzing such data resulted in amodel which returns wave characteristics of waves identified within data setssimilar to what is expected from the MATS mission. The model was testedwith both synthetic data and more realistic data from a forward model madeto simulate MATS data. The synthetic data was made to simulate gravitywaves in the mesosphere, and was mainly used during the development ofthe model.The model developed treats and filters the data, and returns wave characteristicsof waves present within the data set. The results presented in thisthesis show that the model often mistakes noise and side lobes for waves,leading to an output not consistent with the expected results when syntheticdata is used. However, the model was able to find the wave characteristics ofdata accepted as wave peaks, leading to the conclusion that the problems andinaccuracies in the output are from the identification of waves, and not fromthe calculations of the wave characteristics. Thus, further work with filteringand identifying waves in data fields resembling MATS data is needed.