10 One case is defined by a set of data and of choices, packed together
11 through the user interface of the module. The data are physical
12 measurements that have to be available before or during the case
13 execution. The simulation code(s) and the assimilation methods and
14 parameters has to be chosen, they define the execution properties of the
18 One iteration occurs when using iterative optimizers (e.g. 3DVAR), and it
19 is entirely hidden in the main YACS OptimizerLoop Node named
20 "compute_bloc". Nevertheless, the user can watch the iterative process
21 through the *YACS Container Log* window, which is updated during the
22 process, and using *Observers* attached to calculation variables.
25 Keyword to indicate the covariance matrix of *a posteriori* analysis
28 BMA (Background minus Analysis)
29 Difference between the simulation based on the background state and the
30 one base on the optimal state estimation, noted as :math:`\mathbf{x}^b -
33 OMA (Observation minus Analysis)
34 Difference between the observations and the result of the simulation based
35 on the optimal state estimation, the analysis, filtered to be compatible
36 with the observation, noted as :math:`\mathbf{y}^o -
37 \mathbf{H}\mathbf{x}^a`.
39 OMB (Observation minus Background)
40 Difference between the observations and the result of the simulation based
41 on the background state, filtered to be compatible with the observation,
42 noted as :math:`\mathbf{y}^o - \mathbf{H}\mathbf{x}^b`.
45 Keyword to indicate the Desroziers-Ivanov parameter measuring the
46 background part consistency of the data assimilation optimal state
47 estimation. It can be compared to 1.
50 Keyword to indicate the Desroziers-Ivanov parameter measuring the
51 observation part consistency of the data assimilation optimal state
52 estimation. It can be compared to 1.
54 MahalanobisConsistency
55 Keyword to indicate the Mahalanobis parameter measuring the consistency of
56 the data assimilation optimal state estimation. It can be compared to 1.
59 The optimal state estimation through a data assimilation or optimization
63 Difference between the observations and the result of the simulation based
64 on the background state, filtered to be compatible with the observation.
65 It is similar with OMB in static cases.
68 Keyword to indicate the minimization function, noted as :math:`J`.
71 Keyword to indicate the observation part of the minimization function,
75 Keyword to indicate the background part of the minimization function,