This project will focus on the connection between conceptual climate models and high resolution general circulation models (GCMs). The student will analyse simplified models that represent teleconnection behaviour and calibrate them to reflect the settings of a GCM. The student will also have access to high dimensional GCM output and can compare an ensemble of “real-world” simulations to the behaviour of the conceptual model using statistical methods.
Tag Archive: python
What would happen if we suddenly warmed the entire ocean at the sea-surface? Would suddenly cooling it down cause an equal and opposite response? Using ocean climate models we have carried out these and many more extreme experiments. The student will explore the asymmetric and often surprising behaviour of the ocean.
Errors in identifying the fire scar - the portion of a long-lasting bushfire that is actively burning or smouldering, are the largest errors in forecasting emissions from these events. This project will develop and analyse fire progression tracking using data from the 2019 - 2020 bushfire season.
This project investigates access pathways of the relatively warm water to the continental shelf by analysing output from a coupled ocean – sea ice model. The student will gain experience in polar oceanography and in the analysis and visualisation of large numerical datasets using python.
Scott Wales (CLEX CMS) covers basic usage of Pyplot for creating plots and maps. The completed Jupyter notebook may be accessed from this post.
In this project, you will use unique data collected during the Antarctic winter to understand the interactions between PSCs, the tropopause, and very cold cirrus clouds which are present in the upper troposphere. You will also determine how small-scale changes in stratospheric winds influence the occurrence, composition and brightness of PSCs.
This project will explore the potential for developing site-based and event-based extreme weather indices for parametric crop insurance using reanalyses of atmospheric climate variables.
In this project we will look at one of the two following questions: Do marine heatwaves occur preferentially in certain seasons, and if so why? Do marine heatwaves produce a consistent response in ocean primary production?
In this project, the selected student will use the satellite-based data obtained from the National Snow and Ice Data Center (NSIDC) to give an overall comparison of the sea ice variations in Arctic and Antarctic during the recent decades.
Claire Carouge (CLEX CMS) continues the Python introduction.