Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Composing a surrogate observation operator for sequential data
  assimilation   In data assimilation, state estimation is not straightforward when the
observation operator is unknown. This study proposes a method for composing a
surrogate operator when the true operator is unknown. A neural network is used
to improve the surrogate model iteratively to decrease the difference between
the observations and the results of the surrogate model. A twin experiment
suggests that the proposed method outperforms approaches that tentatively use a
specific operator throughout the data assimilation process.

27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
12
The categories of this paper are: nucl-th
33
The categories of this paper are: plasm-ph
21
The categories of this paper are: adap-org
36
The categories of this paper are: cmp-lg
28
The categories of this paper are: alg-geom
30
The categories of this paper are: q-alg
7
The categories of this paper are: hep-th
8
The categories of this paper are: hep-ex
29
The categories of this paper are: funct-an
2
The categories of this paper are: math
14
The categories of this paper are: math-ph
15
The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th
6
The categories of this paper are: astro-ph