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Lecture: Climate Modelling

The Science Behind Climate Reports

When climate activists say you should listen to the science they usually
refer to reports by the Intergovernmental Panel on Climate Change (IPCC). The IPCC is an Intergovernmental organization (IGO) providing an objective summary of scienctific results regarding climate change, its impacts and its reasons. The simulation of future climate is one
fundamental pillar within climate research. But what is behind it? How does the science sector look like? How do we gain these insights, what does it mean?

This lecture aims at answering these questions. In particular, it
provides an overview about some basic nomenclature for
a better understanding of what climate modelling is about.

The following topics will be addressed:


  • Who does climate modelling?

    Which institutes, infrastructures, universities, initiatives are
    behind it and which are the conferences climate scientists go to. What
    background do climate scientists have?
  • What is the difference between climate projections and weather
    predictions? Why is it called a climate projection
    and not climate prediction? While climate scientists are not able to
    predict weather at a specific date in a decade, why does it
    still make sense to propose general trends under certain conditions?
  • What is a climate model, what is an impact model and what is the
    difference between these? What are components and features
    of the different kind of models? Here, some examples will be shortly
    presented (e.g.atmosphere, ocean, land, sea ice).
  • Quite a few models are open source and freely accessible. If there is
    time I will shortly show you how you
    could install an impact model (example mHM) on your local PC. How
    accessible is the data used for the projections
    for the IPCC reports?
  • Overview over the used infrastructure (for example JUWELS, a
    supercomputer in J├╝lich), programming languages, software components

Info

Day: 2019-12-27
Start time: 17:30
Duration: 01:00
Room: Dijkstra
Track: Science
Language: en

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