Symposium on the hydrometeorological usage of data from commercial microwave link networks

Detecting rainfall events in CML attenuation time series using convolutional neural networks

Jun 26, 2019, 10:50 AM

20m

large seminar room (KIT Campus Alpin)

Oral Specific HyMet CML research topics (presentations on Day2, posters on Day1) Specific research topics

Speaker

julius polz (KIT/IMK-IFU)

Description

CML data might exhibit high signal fluctuations, even during dry periods. At the same time the number of newly available CMLs is rising fast. It is necessary to develop a technique to recognise the pattern of rainfall in CML signal levels, that is (1) generalizing to previously unknown sensors, (2) stable in time and (3) showing better performance than established methods. We therefore introduce convolutional neural networks to the task of wet/dry classification and test them on data from a German-wide CML network.