For A Lecture on Scientific Meteorology within Statistical ("Pure") Physics Concepts

TL;DR

This paper explores the connections between modern statistical physics and meteorology, emphasizing historical context, scale differences, cloud properties, and recent scaling law studies, with a focus on technical time series analysis methods.

Contribution

It highlights the integration of statistical physics concepts into meteorology and reviews recent advances in scaling laws and time series analysis of atmospheric data.

Findings

Historical importance of Wroclaw in meteorology

Scaling laws for atmospheric variables

Application of modern statistical physics to meteorological data

Abstract

Various aspects of modern statistical physics and meteorology can be tied together. Critical comments have to be made. However, the historical importance of the University of Wroclaw in the field of meteorology should be first pointed out. Next, some basic difference about time and space scales between meteorology and climatology can be outlined. The nature and role of clouds both from a geometric and thermal point of view are recalled. Recent studies of scaling laws for atmospheric variables are mentioned, like studies on cirrus ice content, brightness temperature, liquid water path fluctuations, cloud base height fluctuations, .... Technical time series analysis approaches based on modern statistical physics considerations are outlined.