Bureau of Meteorology R & D Annual Workshop 2016
The Research and Development Branch of the Bureau of Meteorology is pleased to announce its Annual workshop is to be held at the Head office of the Bureau of Meteorology 700 Collins Street, Docklands from the 5-9 December 2016. The Workshop brings together Australian experts from the Bureau of Meteorology, CSIRO, the Universities and Research Centres, as well as a number of prominent overseas scientists. This year’s Workshop will focus on Data Assimilation across numerous themes. It will address the challenges and vision for the future of this relatively large application of the scientific method. Themes to be discussed include:-
- Ensemble DA
- Atmospheric DA
- Satellite DA
- Oceanic DA
- Land DA
- Reanalysis/Coupled DA\
- Forecast Sensitivity
- Advanced Methods and Generalised Model Data Fusion
Early career scientists are encouraged to attend the Student Workshop (1-2 December 2016) being held in conjunction with this five day meeting.
Dates and venue:
1-2 December 2016 – Student Workshop on Data Assimilation
5-9 December 2016 – Annual R & D workshop on Data Assimilation
Bureau of Meteorology, 700 Collins Street, Melbourne.
Program: To be announced. Speakers are by invitation.
International speakers include :- Drs Craig Bishop NRL USA, Dr Clara Draper, NASA Goddard USA, Dr Jeffrey Anderson, UCAR USA, Dr Adam Clayton, UKMO, Dr Mark Buehner Environ, Canada, Dr Tijana Janjic Univ. of Munich and Michael Tsyrulnikov Hydromet, Moscow.
Registration: Free. Registration is required for attendance. Registration details to be announced.
Contact : Ms V Jemmeson email@example.com
Scientific Committee: Peter Steinle (Convenor), Jin Lee, Yonghong Yin, Imtiaz Dharssi, Pavel Sakov, Ms Val Jemmeson (Bureau of Meteorology) Georg Gottwald (USyd), Terry O’Kane CSIRO
Bureau of Meteorology
Data Assimilation Student Workshop
1-2 December, 2016
Prior to the Bureau of Meteorology’s forthcoming December 5-9 Annual Modelling Workshop on Data Assimilation, a Student Workshop on Data Assimilation will be held over 2 days.
Data assimilation for forecast initialization and state estimation represents a severe challenge from both a theoretical and technical perspective. That said, numerical weather prediction founded on model data synthesis, is arguably one of 20th century science’s great achievements and one on which we are reliant on a daily basis.
The intensive 2 day program will provide participants with a broad understanding of the major methodological approaches to data assimilation for high dimensional multi-scale geophysical applications.
The workshop also aims to introduce advanced honours students and early PhD candidates to the methods currently employed in data assimilation with an emphasis on the application to initialization for both numerical weather and ocean forecasting.
The workshop will be structured around a series of lectures by leading local experts covering a range of sub-disciplines. Interaction and dialogue between students and lecturers will be actively encouraged.
- The main focus of the workshop is a pedagogical presentation of the major methods of modern data assimilation currently employed in operational forecasting centres. Presentations will have sufficient detail such that attendees will receive a sound grounding in the underpinning mathematics as well as some appreciation for the difficulties faced when confronted with real world applications.
- Satellite observations are crucial for weather prediction and over recent years, new sensors have come online, for example for ocean forecasting. A particular additional focus of the Workshop will be on the methods for assimilation of satellite products from the atmosphere and ocean surface.
The aforementioned topics will be discussed in detail in the Annual Modelling Workshop of the Bureau of Meteorology the following week, to which students are encouraged to attend.
Presenters of the Student Workshop:
- Pavel Sakov(Bureau of Meteorology) : The ensemble Kalman filter
- Jeff Kepert Bureau of Meteorology) : Variational data assimilation (VAR)
- Peter Steinle (Bureau of Meteorology) : Ensemble VAR
- John LeMarshall (Bureau of Meteorology): Assimilation of satellite data for numerical weather prediction.
- Paul Sandery (Bureau of Meteorology): Assimilation of satellite data for mesoscale ocean forecasting
- Shane Keating (UNSW): Stochastic data assimilation methods for satellite data
- Emlyn Jones (CSIRO): Particle filters
- Terry O’Kane (CSIRO): Strongly nonlinear and non-Gaussian systems
- Richard Matear (CSIRO): Data assimilation methods for biogeochemical data
- Benoit Legresy (CSIRO): Ocean satellite products
Note: There is no registration fee.
For further information please contact : Ms Val Jemmeson – firstname.lastname@example.org
Terry O’Kane, CSIRO (email@example.com)
Peter Steinle, Bureau of Meteorology (firstname.lastname@example.org)