Modules

Prerequisites

Contents

In the lecture professional aspects of microclimates are addressed, such as: • definition of microclimates • physical systems • differences in atmospheric conditions • influence of elevation and land use types • radiation budget • UHI • local scale wind systems and ventilation • ABL and NBL The exercise consists of two parts: Part 1 Exercises • analysis of spatio-temporal atmospheric data, e.g. in-situ measurements and spatial-explicit data • IT-based training using GIS and programming languages such as Python • Statistical analysis and machine learning approaches Part 2 Field campaign: • one coherent field campaign including measurements of microclimatological conditions

Learning outcomes

The module offers in-depth insight into spatio-temporal atmospheric phenomena with special reference to urban areas and their periphery. Students acquire a basic knowledge of cross-scale processes and mechanisms related to local (topo-) climates, get the competence to carry out climatological analysis in space and time applying IT-based methodologies such as statistical analyses and machine learning approaches.

Assessment

1. Weekly exercises in form of data analyses and visualization (30%) 2. Submission of a research project (70%), 8-10 pages; c. 2000-3000 words