Surface Processes are the interrelated and interdependent systems that drive a large part of the rock cycle and fashion the world we experience every day. Most...

Surface Processes are the interrelated and interdependent systems that drive a large part of the rock cycle and fashion the world we experience every day. Most of Earth's history has been pieced together from the study of sediments and sedimentary rocks and the information they contain about surface processes, climate and environments. Practical classes and a short fieldtrip will be used to demonstrate surface processes in action through time and to teach the identification and application of common sedimentary rocks and structures in the field, in hand specimen and graphic logs. In particular, students examine process and products in modern, Quaternary and deep-time environments.

By the end of this modules students will have an understanding of:

surface and near-surface processes and products;
	the systematic classification of sediments and the ability to identify common sedimentary rocks and structures in the field, in hand specimen and in graphic logs;
	global change through time.

BASIC CONCEPTS IN CLIMATE MODELLING|CLIMATE CHANGE

The Climate Modelling module aims to introduce and critique a range of models commonly used to understand past and predict future climate change.

The module...

The Climate Modelling module aims to introduce and critique a range of models commonly used to understand past and predict future climate change.

The module will cover the fundamental physics, construction, testing, and use of various climate models. This will include box models, intermediate complexity models and fully-coupled General Circulation Models (GCMs). The course will explain how physical processes are incorporated within each type of model, as well as examine how models are calibrated and compared. The course will discuss error analysis and confidence limits on model output. The course is built around analysing a climate change experiment using research-grade GCM.

The module will be delivered through:
- Lectures (providing concepts, methods, examples and literature context)
- Practical sessions (extended practical sessions reinforcing technical aspects of understanding and providing hands-on experience of relevant software and computational problems)
- Moodle resources (hosting reading lists, lecture handouts, pre-recorded lectures, datasets, guides and practical support materials)

Students wishing to take this module should also be taking either Climate Dynamics (GEOG0118) or Scientific Computing (GEOG0111) or an equivalent with permission from the module convenor.