Last chance to register for Frontiers of Fluid Dynamics workshop

Friday 7 December is the last day to register for this interdisciplinary workshop sponsored by the Bureau of Meterology, the Australian Meteorological and Oceanographic Society, and UNSW School of Mathematics and Statistics.

Find out more:

When: 8:30am-5:30pm, 14 December 2018 (lunch provided).

Where: Bureau of Meteorology, 16/300 Elizabeth St, Sydney

Registration: (Deadline 7 December)

Frontiers in Fluid Dynamics workshop

Frontiers in Fluid Dynamics is an interdisciplinary workshop that aims to bring together researchers in academia, industry, and government working on all aspects of environmental and applied fluid dynamics, including forecasting, atmosphere-ocean modeling, observations and experiments.

Abstracts are invited for oral and poster presentations. Registration is free and lunch is provided. Students and early career researchers are particularly encouraged. The workshop will be followed by the AMOS-NSW public lecture and a workshop dinner in neighboring Surry Hills (self-funded).

When: 8:30am-5:30pm, 14 December 2018 (lunch provided).

Where: Bureau of Meteorology, 16/300 Elizabeth St, Sydney

Registration: (Deadline 7 December)

Invited speakers:

Plenary lecture (9:00am): “Ensemble ocean forecasting and other next generation developments: what are the likely impacts to defence and other applications in Australia and NSW?” Dr Gary Brassington (Australian Bureau of Meteorology)

AMOS-NSW public lecture (6:00pm): “Schools weather and air quality (SWAQ): where citizen science meets urban climate research.” Dr Angela Maharaj (UNSW).


Sponsored by:


Call for abstracts: Big data in oceanography and meteorology at AMOS-ICTMO 2019

Abstracts are invited for a special session on Big Data in Oceanography and Meteorology at the annual meeting of the Australian Meteorological & Oceanographic Society (AMOS) and the International Conference on Tropical Meteorology and Oceanography (ICTMO), held in Darwin, NT, from 11-15 June 2019.

AMOS-ICTMO 2019 will bring together experts in meteorology, oceanography, climate, and other related sciences from Australia and around the world as well as government representatives, NGOs, businesses and the media to focus on the latest research.

The following special session on big data will be convened by Moninya Roughan, Shane Keating, and Steefan Contractor. Abstracts for oral and poster presentations are to be submitted via the AMOS-ICTMO 2019 submission site. The deadline for submission is Sunday 18 November 2018.

Big Data in Oceanography and Meteorology: Challenges, Applications, and Data Products

Oceanographers and meteorologists are drowning in a tide of data. Data availability has increased steadily in recent years due to the move towards higher resolution modelling and the increase in observations. Observational density has increased because of an increase in frequency of measurements, introduction of new single and multi-instrument datasets and new remote-sensing platforms. As a result, studies of geophysical fluid dynamics are becoming increasingly data driven. In order to derive valuable insights and knowledge from large volumes of data, new methods and techniques are emerging in the field of big data for visualization, analysis, and data dispensation. Vast numbers of datasets are being published and released freely for analysis and sharing.

We invite talks that are broadly related to the field of big data and data products. We encourage presentations on analysis of data from the syntheses of programmes such as IMOS and CMIP5 analyses, projects that deliver products and insights to end users, or that focus on pattern analysis and identification of complex relationships, predictive modelling using supervised and unsupervised algorithms, tools for handling large datasets and for increasing computational efficiency, novel applications of statistical learning and high volume time series analysis, blending of diverse datasets, reproducibility of analysis, inherent structural uncertainties in data, best practices in big datasets and guidance on recommended use for new and existing datasets.