MATLAB and Python Recipes for Earth Sciences
Martin H. Trauth, University of Potsdam, Germany
Since the release of ChatGPT by OpenAI and subsequently numerous other AI-based tools, we as scientists have been both fascinated by the possibilities but also see the risks associated with the use of these tools in research and teaching. In this context, Scholar AI is offered as a tool that helps us to summarise extensive literature on a subject area. Here is the result of an experiment I did this morning.
Continue reading “Using Scholar AI to Synthetize Scientific Literature”
Here is a nice application of the script from MRES to count sand grains in microscopic images. In September 2013 a biologist from the National Museums of Kenya joint us on an expedition to the Suguta Valley in the Northern Kenya Rift. At that time hundreds of thousands of lesser flamingos left the Central Kenia Rift, especially from the Nakuru basin, and went to the Suguta Valley. The biologist started to count the flamingos, while I immediately thought about doing this automatically with a little MATLAB script.
The University of Potsdam offers numerous international degree programmes, in English and without tuition fees, which includes the new international Master’s programm in Geosciences. This week, the university’s information day will take place on 6–7 June 2024. Continue reading “Hello World – Studying Geosciences at the University of Potsdam”
Here you find the FORTRAN77 code and of my paper “TURBO: a dynamic-probabilistic simulation to study the effects of bioturbation on paleoceanographic time series” published in the Elsevier journal Computers & Geosciences. Continue reading “FORTRAN77 Code of “TURBO: a dynamic-probabilistic simulation …” (Trauth, Computers & Geosciences)”
Artificial neural networks (ANNs) are widely used in the geosciences. There are numerous convenient tools in MATLAB and the Deep Learning Toolbox that make it easy to get started, but the examples used in the documentation, tutorials and are usually very complex. Here is a very simple MATLAB example.
Continue reading “An Artificial Neural Network with Backpropagation in 6 Steps”
I received a negative review on Amazon. That’s always a bad thing, whether or not it is justified (see this older example). As Amazon no longer allows a reply, I’m posting it here, because other readers are probably also bothered by the way the first edition of the Python book dealt with missing subchapters and illustrations compared to the MATLAB book. And there is good news, in the second edition we have solved the problem!
We published a new paper on early warning signals of the termination of the African Humid Period(s) in the journal Nature Communications. A very close look at the sediments of the Chew Bahir Basin in South Ethiopia provides new insights into the structure of climate transitions in Africa. Wet climate did not simply become drier; it flickered rapidly between wet and dry, which posed major challenges for the humans in the region. Continue reading “New Paper on “Early warning signals of the termination of the African Humid Period(s)” Published in Nature Communications”
In Juli 2024, the 6th edition of “MATLAB Recipes for Earth Sciences” (Springer 2024) and the 2nd edition of “Python Recipes for Earth Sciences” (Springer 2024) will be released. Continue reading “New Editions (2024) of MATLAB and Python Recipes for Earth Sciences”