Estimation of atmospheric signals from daily gravity field solution

Abstract

In this thesis the question will be solved, if it is possible to extract gravity signals from the atmosphere in the measured gravity field of the earth. At the beginning, this will be done by comparing the Daily Wiese Solutions, which are simulated measured gravity fields of the earth and the atmosphere, to have an idea in which way the data is created and how the basic data have already similarities. In the following analysis, two possibilities are tested to estimate the atmosphere. The analysis is based on the idea that the estimation of the atmosphere proves the atmospheric signals in the gravity field of the earth. One possibility is to use masks to extract the desired signals, while the other way is to add the differences of two daily solutions to a start field. There it can be seen, that the first method offers the best correlation with the given atmosphere. The latter method has a lower correlation but has the advantage to require a lower number of atmospheric models. Also the requirement of low pass filters in further atmospheric estimations is shown. Two anomalies which are detected are intensity peaks in the estimated atmosphere, which could be related to extreme weather at that time and also the big variation between points in the upper part of the field and in the lower part.