The role of statistics in science

Traditionally within the different disciplines of earth science the scientists are divided into two groups: modelers and observationalists. In this view the modellers are those who do theory, possibly with pen and paper alone, and the observationalist go into the field and get dirty hands. That this view is a little bit outdated, won’t be anything new. In my opinion, it really started with the establishment of remote sensing that this division reunited (Yes, reunite, because in the old days, there were a lot of scientists who did everything). As I am a learned meteorologist, from my view it is quite common that this division is not really existent anymore. Both types of scientists sit in front of their computer, both are programming and both have to write papers with a lot of mathematical equations. In other fields, the division might be still more obvious (e.g. Geology), but for many its only the type of data someone is working with, which classify someone as observationalist or modeller. Continue reading

Programming in a scientific environment – An overview

As a scientist in earth science, who is working more on the theoretical side, the daily work consists in large parts of programming. Nevertheless, even with the importance programming has nowadays in this field, I hear again and again from people that they had not got a systematical education on this during their studies. Of cause, I agree, learning by doing plays a very important part to become a good programmer, but without further insights into the background of programming it can be quite hard to generate the benefits of a well planed structured programm. Continue reading