

Workshop on Recent Advances in Data Assimilation for Ocean Prediction and Reanalysis.
LOCATION
University of Reading
Whiteknights, Reading RG6 6AH
Data assimilation (DA), where observations and models are merged, is a key part of modern prediction and reanalysis systems for both the atmosphere and ocean. In this workshop the focus will be on oceanic DA, which has unique challenges not found in atmospheric DA. In particular, the ocean is much more observationally sparse than the atmosphere, especially in the subsurface. Furthermore, the presence of land gives rise to complex boundaries, preventing the use of some techniques found in atmospheric DA. However, as the ocean evolves significantly more slowly than the atmosphere non-linearities tend to be less significant, making some aspects of the DA problem easier.
Over the course of this workshop, presentations will be given on recent and ongoing developments in ocean data assimilation that are taking place at many leading UK oceanographic institutions. The meeting will also be a forum for looking at future developments that could improve ocean (or ocean/atmosphere coupled) DA systems in the years ahead.
Agenda
20th Jul 2023 11:00 - 17:00
Session schedule
HideTime | Title | Speaker |
---|---|---|
11:00 | Welcome | Prof A S Lawless FRMetS |
11:10 | Assimilation of Sea Ice Thickness. | Dr Martin & D Carneiro |
11:40 | Assimilation of Surface Velocity Data | Dr J Waters |
12:10 | Assimilation of Satellite Carbon Data into a Biogeochemistry Model | Dr D Partridge |
12:40 | Lunch | - - - |
13:40 | A Smoother for Improved Ocean Reanalyses | Dr R Bannister |
14:10 | Model to Model Data Assimilation for Shelf Seas Model | Prof G Shapiro |
14:40 | Hybrid Data Assimilation in ECMWF Ocean Data Assimilation Systems | Dr P Browne |
15:10 | Tea/Coffee Break | - - - |
15:40 | Discussion: Practical Ocean DA in the Next 5 Years. What Advancements are Needed; Where Should We Concentrate Our Effort? | - - - |
17:00 | Close | - - - |
Registration
REGISTRATION IS NOW CLOSED
Data assimilation (DA), where observations and models are merged, is a key part of modern prediction and reanalysis systems for both the atmosphere and ocean. In this workshop the focus will be on oceanic DA, which has unique challenges not found in atmospheric DA. In particular, the ocean is much more observationally sparse than the atmosphere, especially in the subsurface. Furthermore, the presence of land gives rise to complex boundaries, preventing the use of some techniques found in atmospheric DA. However, as the ocean evolves significantly more slowly than the atmosphere non-linearities tend to be less significant, making some aspects of the DA problem easier.
Over the course of this workshop, presentations will be given on recent and ongoing developments in ocean data assimilation that are taking place at many leading UK oceanographic institutions. The meeting will also be a forum for looking at future developments that could improve ocean (or ocean/atmosphere coupled) DA systems in the years ahead.
Agenda
20th Jul 2023 11:00 - 17:00
Session schedule
HideTime | Title | Speaker |
---|---|---|
11:00 | Welcome | Prof A S Lawless FRMetS |
11:10 | Assimilation of Sea Ice Thickness. | Dr Martin & D Carneiro |
11:40 | Assimilation of Surface Velocity Data | Dr J Waters |
12:10 | Assimilation of Satellite Carbon Data into a Biogeochemistry Model | Dr D Partridge |
12:40 | Lunch | - - - |
13:40 | A Smoother for Improved Ocean Reanalyses | Dr R Bannister |
14:10 | Model to Model Data Assimilation for Shelf Seas Model | Prof G Shapiro |
14:40 | Hybrid Data Assimilation in ECMWF Ocean Data Assimilation Systems | Dr P Browne |
15:10 | Tea/Coffee Break | - - - |
15:40 | Discussion: Practical Ocean DA in the Next 5 Years. What Advancements are Needed; Where Should We Concentrate Our Effort? | - - - |
17:00 | Close | - - - |