Bachelor Thesis
Development of an automated Quality Control program for the Integrated Surface Flux System
Lisa Dirks (02/2013-07/2013)
Support: Thomas Foken
In cooperation with NCAR, Boulder CO
Through the progress of memory and processing capacities in the last couple of years, the measurement, analysis and storage of much bigger amounts of meteorological data became feasible. In this work a quality control (QC) program was developed, which is based on a suite of tests and algorithms to inspect all kinds of meteorological data for erroneous data. This program is aimed to identify suspicious data and hence reduce the amount of data, that has to be inspected manually. The suite of tests can be divided into three different kind of tests. The first group of tests is based on statistical properties of the data. The second group of tests is based on the meteorological possible behavior of the measured variables. The third group of tests is based on the comparison of multiple measured variables. The developed suite of tests and algorithms was tested on data from field projects of the ISFS (Integrated Surface Flux System) of NCAR (National Center of Atmospheric Research).