Workshops

A 3hr 'BYO laptop' workshop to demonstrate how to use and explore weather radar data. This will be done using the freely available OceanPOL (RV Investigator) dataset. It can be used to explore a broad range of phenomena, including severe thunderstorms, tropical convection, and Southern Ocean precipitation. Furthermore, long-term records can be applied for climate science to develop climatological investigations and evaluate simulations. Participants of the workshop will gain an understanding of strengths and limitations of weather radar observations and will be guided through a series of Python notebooks that demonstrate applications.

This hands-on interactive workshop will demonstrate innovative online educational resources for University-level courses in atmosphere, ocean, and climate science. We will work through a suite of web-enabled labs built with Google Colaboratory, a cloud-based python notebook server, and Dedalus, an open-source fluid dynamics solver that allows students to enter equations in human-readable format. The labs give students the opportunity to run research-quality numerical simulations, visualize model output, and interrogate data sets --- all from a web browser. The labs and accompanying teaching materials are available freely online with support from the Dedalus Project, the ARC Centre of Excellence in Climate Extremes, and the Universitas 21 Global Education Fund.

Python is rapidly emerging as the programming language of choice for data analysis in the weather, climate and ocean sciences. By consulting online tutorials and help pages, most researchers in this community are able to pick up the basic syntax and programming constructs. This self-taught knowledge is sufficient to get work done, but it often involves spending hours to do things that should take minutes, reinventing a lot of wheels, and a nagging uncertainty at the end of it all regarding the reliability and reproducibility of the results. To help address these issues, a Carpentries workshop has been held on the day prior to the AMOS annual conference every year since 2013, and we'd like to keep that tradition going at ICSHMO.

The Carpentries (https://carpentries.org/) is a non-profit organisation that teaches foundational coding and data science skills to researchers worldwide. Together with the regular hosts of the annual AMOS workshop, they have developed a set of lesson materials tailored specifically to the needs of atmosphere and ocean scientists (https://carpentrieslab.github.io/python-aos-lesson/). The workshop is a full day and requires wifi access and a room large enough to accommodate participants and their laptops, with space for tutors to circulate the room helping people. The instructor also needs a projector.

We have local New Zealanders (from NIWA) willing to deliver an in-person workshop and the Australians who ran the AMOS 2021 virtual workshop are willing to do so again, so running both in-person and virtual workshops (i.e. concurrent but separate events) is an option.

Python is rapidly emerging as the programming language of choice for data analysis in the weather, climate and ocean sciences. By consulting online tutorials and help pages, most researchers in this community are able to pick up the basic syntax and programming constructs. This self-taught knowledge is sufficient to get work done, but it often involves spending hours to do things that should take minutes, reinventing a lot of wheels, and a nagging uncertainty at the end of it all regarding the reliability and reproducibility of the results. To help address these issues, a Carpentries workshop has been held on the day prior to the AMOS annual conference every year since 2013, and we'd like to keep that tradition going at ICSHMO.

The Carpentries (https://carpentries.org/) is a non-profit organisation that teaches foundational coding and data science skills to researchers worldwide. Together with the regular hosts of the annual AMOS workshop, they have developed a set of lesson materials tailored specifically to the needs of atmosphere and ocean scientists (https://carpentrieslab.github.io/python-aos-lesson/). The workshop is a full day and requires wifi access and a room large enough to accommodate participants and their laptops, with space for tutors to circulate the room helping people. The instructor also needs a projector.

We have local New Zealanders (from NIWA) willing to deliver an in-person workshop and the Australians who ran the AMOS 2021 virtual workshop are willing to do so again, so running both in-person and virtual workshops (i.e. concurrent but separate events) is an option.