Analysis of optical-microwave scintillometric measurements to determine evapotranspiration using RAWLAB’s data boosting and processing software

Coming from the German automotive industry, RAWLAB has developed a software-based approach that enables non-experts to work with measurement datasets from various sources, make them comparable, and applying complex data-analysis algorithms. Recently, the approach has been extended to include the field of scintillometry. This presentation will introduce the underlying data process and its possibilities resulting from the benefits of combining scintillometry expert knowledge with industry methods. These comprise the use of ASAM's (Association for Standardisation of Automation and Measuring Systems) ODS (Open Data Services) format to store and access any kind of data, as well as the feature to quickly publish any combination of results in automated reports available in e.g. .pdf, .docx, and .pptx formats. Furthermore, novel results and insights concerning the processing of scintillometer data will be discussed, as well as how the software can be used in the operational monitoring of diurnal evapotranspiration. Here we will focus on the use of spectrograms to observe the variation of scintillometer spectra throughout the day, newly derived coefficients for A_T and A_q valid for wavelengths between 0.3 - 3 mm, as well as on the preferred algorithms that allow users to get the best estimate for the total evapotranspiration over the course of a day. As an example, we will use two days of operational scintillometer data from the Lindenberg Observatory of the German Meteorological Service (DWD), Lindenberg, Germany, from June 2021 that were obtained during fair weather conditions with typical evapotranspiration summing up to about 3 mm per day.