Student Workshop on Data Assimilation (1—2 December 2016)
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.
Topics:
- 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)M
- Peter Steinle (Bureau of Meteorology): Ensemble VAR
- John Le Marshall (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
- Jeff Anderson (UCAR): An Interactive Introduction to the Ensemble Kalman Filter
Abstracts from the presenters:- View | Download (PDF)
Note: YOU MUST REGISTER FOR SECURITY PURPOSES,
however there is no registration fee.
Please follow this link for the Student Workshop Program
ORGANISERS :
- Terry O'Kane, CSIRO (Email: terence.okane@csiro.au)
- Peter Steinle, Bureau of Meteorology (Email: p.steinle@bom.gov.au)
