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www.atmos-meas-tech-discuss.net/5/411/2012/
doi:10.5194/amtd-5-411-2012
© Author(s) 2012. This work is distributed
under the Creative Commons Attribution 3.0 License.
Using Markov switching models to infer dry and rainy periods from telecommunication microwave link signals
1The Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland
2Laboratoire de Télédétection Environnementale (LTE), École polytechnique fédérale de Lausanne (EPFL), Lausanne, Switzerland
Abstract. A Markov switching algorithm is introduced to classify attenuation measurements from telecommunication microwave links into dry and rainy periods. It is based on a simple state-space model and has the advantage of not relying on empirically estimated threshold parameters. The algorithm is applied to data collected using a new and original experimental set-up in the vicinity of Zürich, Switzerland. The false dry and false rain detection rates of the algorithm are evaluated and compared to 3 other algorithms from the literature. The results show that, on average, the Markov switching model outperforms the other algorithms. It is also shown that the classification performance can be further improved if redundant information from multiple channels is used.
Discussion Paper (PDF, 4126 KB) Interactive Discussion (Final Response, 3 Comments) Manuscript under review for AMT
Citation: Wang, Z., Schleiss, M., Jaffrain, J., Berne, A., and Rieckermann, J.: Using Markov switching models to infer dry and rainy periods from telecommunication microwave link signals, Atmos. Meas. Tech. Discuss., 5, 411-445, doi:10.5194/amtd-5-411-2012, 2012. Bibtex EndNote Reference Manager XML
