BUCSS

BUCSS 2020

Cities nowadays provide facilities and services, business opportunities and cultural attractions of unprecedented complexity, triggering more than a half of the world population to strive for comfort and safety. The scientific community, local authorities, stakeholders and the public show high and constant interest for monitoring and evaluating the environmental impact of the metropolitan regions, in order to better use the current resources and prepare for future challenges. Cities are thus vital in the response to climate change and urban population increase. Urban-induced effects and impacts owing to long-lived emissions of greenhouse gases trigger physical and socio-economic consequences that affect the livelihoods of urban dwellers. Such challenges call for enduring scientific advancements, improved training and increased awareness of topical issues. 

The Bochum Urban Climate Summer School 2020 (#BUCSS20) aims to provide a general introduction to the many facets of urban climatology, biometeorology and urban climate informatics, a newly evolving research field that uses artificial intelligence, e.g., machine learning or deep learning, to process non-traditional big data sources for urban climate applications. BUCSS20’s goal is to provide structured information and skill-building capabilities related to urban climate monitoring, remote sensing and modelling, thereby strengthening an active pool of young scientists that tackle the major urban sustainability challenges facing future generations. Those attending can expect to gain an understanding of the state-of-the-art via lectures and hands-on tutorials, on the following topics:

  •  A general introduction to urban climate (informatics)
  •  (Thermal) remote sensing in urban areas
  •  Crowd-sourcing for monitoring urban systems
  •  Urban climate modelling at various spatial scales

The summer school, taking place between 17-21 August 2020, is primarily intended for master (ECTS available) and doctoral students, but also adresses PostDocs who already have basic knowledge and interest for urban climate issues. Basic background and skills in urban climate modelling, remote sensing and programming are an advantage yet not required.