| 76 | | 1. Is the current partition between built-in, interface and external components of assimilation a reasonable trade-off, or should we move the boundary? It was agreed that the 3 existing building blocks (OBS, ASM, TAM) should be maintained and further developed in such a way to increase their usefulness by assimilation groups, but also by modeling groups (e.g. using TAM for sensitivity studies). |
| 77 | | 1. While TAM and ASM modules have no equivalent alternatives in the community, the OBS component is an issue since some groups are developing alternative tools to interface NEMO simulations with observational data sets (for assimilation or diagnostic purposes). In the future, one should ensure that the OBS component evolves in such a way that it could be used more systematically by more groups, using more diverse observational data sets. |
| 78 | | 1. Should we have a generic interface for data assimilation schemes based on a modular approach with structures (without writing to the disk) ? There was no clear-cut position reached on this question, but we believe that this approach should be encouraged in the long term, and further discussed with the assimilation user community (which was not widely represented in the audience). |
| 79 | | 1. In the future, should NEMO include a capability to produce probabilistic information (i.e. ensemble model trajectories), in addition to deterministic runs ? This was recognized as an important goal to be considered in the future, especially by NEMO members concerned with assimilation issues. However, there are several key applications that would benefit from such a capability, which extend beyond the strict scope of ensemble assimilation (e.g. for non-linear modelling sensitivity studies in complement to the linearized TAM approach, uncertainty estimation for climate projections, studies of intrinsic variability and chaotic properties of the ocean, stochastic modelling of model errors etc.). It would be great if this capability would enable on-line computation of ensemble means and spread, as well as various ensemble statistics with observational data. This topic will require further brainstorming in order to define an appropriate roadmap for including this option in future NEMO systems. |
| | 76 | 1. Is the current partition between built-in, interface and external components of assimilation a reasonable trade-off, or should we move the boundary? It was agreed that the 3 existing building blocks (OBS, ASM, TAM) should be maintained and further developed in such a way to increase their usefulness by assimilation groups, but also by modeling groups (e.g. using TAM for sensitivity studies). |
| | 77 | 1. While TAM and ASM modules have no equivalent alternatives in the community, the OBS component is an issue since some groups are developing alternative tools to interface NEMO simulations with observational data sets (for assimilation or diagnostic purposes). In the future, one should ensure that the OBS component evolves in such a way that it could be used more systematically by more groups, using more diverse observational data sets. |
| | 78 | 1. Should we have a generic interface for data assimilation schemes based on a modular approach with structures (without writing to the disk) ? There was no clear-cut position reached on this question, but we believe that this approach should be encouraged in the long term, and further discussed with the assimilation user community (which was not widely represented in the audience). |
| | 79 | 1. In the future, should NEMO include a capability to produce probabilistic information (i.e. ensemble model trajectories), in addition to deterministic runs ? This was recognized as an important goal to be considered in the future, especially by NEMO members concerned with assimilation issues. However, there are several key applications that would benefit from such a capability, which extend beyond the strict scope of ensemble assimilation (e.g. for non-linear modelling sensitivity studies in complement to the linearized TAM approach, uncertainty estimation for climate projections, studies of intrinsic variability and chaotic properties of the ocean, stochastic modelling of model errors etc.). It would be great if this capability would enable on-line computation of ensemble means and spread, as well as various ensemble statistics with observational data. This topic will require further brainstorming in order to define an appropriate roadmap for including this option in future NEMO systems. |
