Nonlinear effects in 4D-Var
<p>The ability of a data assimilation system to deal effectively with nonlinearities arising from the prognostic model or the relationship between the control variables and the available observations has received a lot of attention in theoretical studies based on very simplified test models...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2018-09-01
|
Series: | Nonlinear Processes in Geophysics |
Online Access: | https://www.nonlin-processes-geophys.net/25/713/2018/npg-25-713-2018.pdf |
id |
doaj-e4ae19ed80f141b5a6f64855707cdc41 |
---|---|
record_format |
Article |
spelling |
doaj-e4ae19ed80f141b5a6f64855707cdc412020-11-24T23:52:16ZengCopernicus PublicationsNonlinear Processes in Geophysics1023-58091607-79462018-09-012571372910.5194/npg-25-713-2018Nonlinear effects in 4D-VarM. Bonavita0P. Lean1E. Holm2European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, UKEuropean Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, UKEuropean Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, UK<p>The ability of a data assimilation system to deal effectively with nonlinearities arising from the prognostic model or the relationship between the control variables and the available observations has received a lot of attention in theoretical studies based on very simplified test models. Less work has been done to quantify the importance of nonlinearities in operational, state-of-the-art global data assimilation systems. In this paper we analyse the nonlinear effects present in ECMWF 4D-Var and evaluate the ability of the incremental formulation to solve the nonlinear assimilation problem in a realistic NWP environment. We find that nonlinearities have increased over the years due to a combination of increased model resolution and the ever-growing importance of observations that are nonlinearly related to the state. Incremental 4D-Var is well suited for dealing with these nonlinear effects, but at the cost of increasing the number of outer loop relinearisations. We then discuss strategies for accommodating the increasing number of sequential outer loops in the tight schedules of operational global NWP.</p>https://www.nonlin-processes-geophys.net/25/713/2018/npg-25-713-2018.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
M. Bonavita P. Lean E. Holm |
spellingShingle |
M. Bonavita P. Lean E. Holm Nonlinear effects in 4D-Var Nonlinear Processes in Geophysics |
author_facet |
M. Bonavita P. Lean E. Holm |
author_sort |
M. Bonavita |
title |
Nonlinear effects in 4D-Var |
title_short |
Nonlinear effects in 4D-Var |
title_full |
Nonlinear effects in 4D-Var |
title_fullStr |
Nonlinear effects in 4D-Var |
title_full_unstemmed |
Nonlinear effects in 4D-Var |
title_sort |
nonlinear effects in 4d-var |
publisher |
Copernicus Publications |
series |
Nonlinear Processes in Geophysics |
issn |
1023-5809 1607-7946 |
publishDate |
2018-09-01 |
description |
<p>The ability of a data assimilation system to deal effectively
with nonlinearities arising from the prognostic model or the relationship
between the control variables and the available observations has received a
lot of attention in theoretical studies based on very simplified test models.
Less work has been done to quantify the importance of nonlinearities in
operational, state-of-the-art global data assimilation systems. In this paper
we analyse the nonlinear effects present in ECMWF 4D-Var and evaluate the
ability of the incremental formulation to solve the nonlinear assimilation
problem in a realistic NWP environment. We find that nonlinearities have
increased over the years due to a combination of increased model resolution
and the ever-growing importance of observations that are nonlinearly related
to the state. Incremental 4D-Var is well suited for dealing with these
nonlinear effects, but at the cost of increasing the number of outer loop
relinearisations. We then discuss strategies for accommodating the increasing
number of sequential outer loops in the tight schedules of operational global
NWP.</p> |
url |
https://www.nonlin-processes-geophys.net/25/713/2018/npg-25-713-2018.pdf |
work_keys_str_mv |
AT mbonavita nonlineareffectsin4dvar AT plean nonlineareffectsin4dvar AT eholm nonlineareffectsin4dvar |
_version_ |
1725473981199286272 |