06.02 - 10.02.2017  
Canberra, Australia

The AMOS/MSNZ Conference and ANZ Climate Forum 2017 will be held at the Australian National University, Canberra, Australia, from 7-10 February 2017.


Organised jointly by Australian Meteorological and Oceanographic Society (AMOS) and Meteorological Society of New Zealand (MSNZ), the conference will be held in conjunction with the Australian/New Zealand Climate Forum (ANZCF).


The overall theme is "Australasian weather, climate and oceans: past, present and future."


As well as sessions within the main conference program, interesting proposals for workshops or "boot camps" have been received. These will be held on Monday 6 February preceding the conference. The conference will organise computer laboratories and other teaching spaces to accommodate these workshops.

For a full list of sessions, go here:


The call for abstract submissions closes midnight 4 September 2016.
Submit abstracts here:

Preliminary program

The conference will run from 7–10 February, with the ANZCF incorporated within the conference on 9–10 February. Workshops and other peripheral sessions such as outreach meetings are being planned for Monday 6 February. It is envisioned that there will be two registration options, providing flexibility for participation: AMOS/MSNZ conference (4 days) ANZ Climate Forum only (2 days).

AMOS/MSNZ conference

It is expected that this conference will consist of up to four parallel sessions per day plus poster sessions. Two parallel sessions on both the 9 and 10 February will be dedicated to the ANZCF, covering topics orientated to the interests of those who are just wishing to attend the ANZCF.


This is the first time the ANZCF has been held for seven years. The sessions of the ANZCF will be orientated towards topics of potential interest to both AMOS attendees and those who just wish to attend the ANZCF and will include sessions of interest to a wide climate- and user-community. It is also envisioned that some ANZCF sessions will include interactive sessions to draw climate scientists and users of climate information together to discuss issues such as what climate users want, data collection and dissemination. Other topics may include climate education, policy makers and climate, deep-time climate, climate and history/environment/ecosystems.

Further information

Go to the conference website:


PAGES-supported sessions

Aus2k: 'Past climate reconstruction and modelling'
Conveners: Duncan Ackerley (Monash University), Helen McGregor (University of Wollongong), Kathryn Allen (University of Melbourne), Joelle Gergis (University of Melbourne), Drew Lorrey (NIWA, NZ), Steven Phipps (University of Tasmania).

Palaeoclimate research reveals processes and interactions that are not necessarily apparent in climate records of the modern era. In addition, palaeoclimate records provide constraints on climate sensitivity and natural climate patterns, which are critical for evaluating the models used to project future climate variability and change. Past climate research gives novel insights into climate over many time scales-from the seasonal through to millions of years-and as such will be of broad interest to the climatological and meteorological community. Furthermore, this session will provide an important forum for active researchers in Australia and New Zealand, involved with paleoclimate reconstructions and modelling, to engage with each other and the broader climate research community.

We anticipate a lively session that includes presentations related to all aspects and time scales of past climate, including those that bridge the gap between past and future changes in the climate system.

The topics covered are likely to include palaeoclimate reconstruction, climate modelling, data-model comparison, as well as work from international palaeoclimate synthesis efforts e.g. the PAGES 2k Network and INQUA SHAPE research from Australia and New Zealand.

Presentations that combine multiple datasets or methods, with a focus on understanding the underlying dynamical processes, are likely to feature.