MATLAB and Python Recipes for Earth Sciences
Martin H. Trauth, University of Potsdam, Germany
Computing the evolutionary spectrum of a short piano piece helps to recognize that music is the result of a complex interplay of temporal and spectral changes of sound. The MATLAB Audio Toolbox has numerous useful functions for spectrally analyzing music. Continue reading “Analyzing Music in the Time and Frequency Domain using MATLAB”
Color is an uncertain characteristic for the determination of minerals. Many minerals occur in a variety of different colors. Examples are quartz with its color variants amethyst, rose quartz or smoky quartz or feldspar with color variants like amazonite. However, if the minerals in a rock are reliably determined, their different coloring can be used to quantify them. In this example we use a simple RGB photo taken with a smartphone to determine the amounts of quartz, plagioclase, alkali feldspar and dark minerals such as biotite and hornblende in granite. To facilitate the differentiation of minerals, we use a principal component analysis (PCA), which is also used to unmix and classify spectral images such as satellite images (Trauth, 2020).
In paleoclimate time series amplitude of spectral peaks usually varies with time. Evolutionary power spectral analysis such as the FFT-based spectrogram and wavelet power spectral analysis helps. These methods, however, require interpolation of the time series to a grid of evenly-spaced times. Instead we can use the Lomb-Scargle Method for unevenly-spaced spectral analysis, computed for a sliding window, to map changes of the cyclicities through time.
Continue reading “Evolutionary Lomb-Scargle Power Spectral Analysis with MATLAB”
My colleague and friend Manfred Mudelsee has just published a remarkable book on the statistical analysis of climate extremes with Cambridge University Press. It is Manfred’s second book, after his very successful book on climate time series analysis (Springer, 2nd Edition, 2014). Continue reading “A New Book on Climate Extremes by Manfred Mudelsee”
During the worldwide SARS-CoV-2 pandemic, teaching at universities changed fundamentally within a few days. This also has an impact on the traditional MRES compact courses, which are now offered entirely online! The interactive online seminar on MATLAB Recipes for Earth Sciences will be held on 14–18 September 2020 (in English language) and 28 September–2 October 2020 (in German language).
Continue reading “50th and 51st Shortcourse on MRES – Interactive Online Seminars”
During the worldwide Sars-COV-2 pandemic, teaching in schools and universities changed fundamentally within a few days. Here are first experiences in teaching and learning with MATLAB. Continue reading “Teaching Data Analysis with MATLAB in COVID-19 Times”
I am pleased to announce a Quaternary Science Reviews virtual special issue on “Time Series Analysis for Earth, Climate and Life Interactions“. The VSI will contain overview articles on the currently used and new methods of time series analysis as well as application examples from the field of earth, climate and life. Interested authors of articles on the topic may contact me via email. Continue reading “QSR Virtual Special Issue on Time Series Analysis for Earth, Climate and Life Interactions”