Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Long short-term memory embedded nudging schemes for nonlinear data
  assimilation of geophysical flows   Reduced rank nonlinear filters are increasingly utilized in data assimilation
of geophysical flows, but often require a set of ensemble forward simulations
to estimate forecast covariance. On the other hand, predictor-corrector type
nudging approaches are still attractive due to their simplicity of
implementation when more complex methods need to be avoided. However, optimal
estimate of nudging gain matrix might be cumbersome. In this paper, we put
forth a fully nonintrusive recurrent neural network approach based on a long
short-term memory (LSTM) embedding architecture to estimate the nudging term,
which plays a role not only to force the state trajectories to the observations
but also acts as a stabilizer. Furthermore, our approach relies on the power of
archival data and the trained model can be retrained effectively due to power
of transfer learning in any neural network applications. In order to verify the
feasibility of the proposed approach, we perform twin experiments using Lorenz
96 system. Our results demonstrate that the proposed LSTM nudging approach
yields more accurate estimates than both extended Kalman filter (EKF) and
ensemble Kalman filter (EnKF) when only sparse observations are available. With
the availability of emerging AI-friendly and modular hardware technologies and
heterogeneous computing platforms, we articulate that our simplistic nudging
framework turns out to be computationally more efficient than either the EKF or
EnKF approaches.

8
The categories of this paper are: hep-ex
34
The categories of this paper are: chem-ph
21
The categories of this paper are: adap-org
12
The categories of this paper are: nucl-th
19
The categories of this paper are: eess
24
The categories of this paper are: dg-ga
28
The categories of this paper are: alg-geom
5
The categories of this paper are: gr-qc
23
The categories of this paper are: solv-int
35
The categories of this paper are: mtrl-th
18
The categories of this paper are: econ
26
The categories of this paper are: bayes-an
30
The categories of this paper are: q-alg
17
The categories of this paper are: q-fin
11
The categories of this paper are: hep-lat
10
The categories of this paper are: q-bio