Control simulation experiments of extreme events with the Lorenz-96 model
<p>The control simulation experiment (CSE) is a recently developed approach to investigate the controllability of dynamical systems, extending the well-known observing system simulation experiment (OSSE) in meteorology. For effective control of chaotic dynamical systems, it is essential to exp...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2023-06-01
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| Series: | Nonlinear Processes in Geophysics |
| Online Access: | https://npg.copernicus.org/articles/30/117/2023/npg-30-117-2023.pdf |
| _version_ | 1797800760106287104 |
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| author | Q. Sun Q. Sun T. Miyoshi T. Miyoshi T. Miyoshi S. Richard S. Richard |
| author_facet | Q. Sun Q. Sun T. Miyoshi T. Miyoshi T. Miyoshi S. Richard S. Richard |
| author_sort | Q. Sun |
| collection | DOAJ |
| description | <p>The control simulation experiment (CSE) is a recently developed approach to investigate the controllability of dynamical systems,
extending the well-known observing system simulation experiment (OSSE) in meteorology.
For effective control of chaotic dynamical systems,
it is essential to exploit the high sensitivity to initial conditions for dragging a system away from an undesired regime by applying minimal perturbations.
In this study, we design a CSE for reducing the number of extreme events in the Lorenz-96 model. The 40 variables of this model represent idealized meteorological quantities evenly distributed on a latitude circle.
The reduction of occurrence of extreme events over 100-year runs of the model is discussed as a function of the parameters of the CSE:
the ensemble forecast length for detecting extreme events in advance,
the magnitude and localization of the perturbations,
and the quality and coverage of the observations.
The design of the CSE is aimed at reducing weather extremes when applied to more realistic weather prediction models.</p> |
| first_indexed | 2024-03-13T04:40:06Z |
| format | Article |
| id | doaj.art-285783ecf99248188c627ca1a12bcbd6 |
| institution | Directory Open Access Journal |
| issn | 1023-5809 1607-7946 |
| language | English |
| last_indexed | 2024-03-13T04:40:06Z |
| publishDate | 2023-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Nonlinear Processes in Geophysics |
| spelling | doaj.art-285783ecf99248188c627ca1a12bcbd62023-06-19T06:00:11ZengCopernicus PublicationsNonlinear Processes in Geophysics1023-58091607-79462023-06-013011712810.5194/npg-30-117-2023Control simulation experiments of extreme events with the Lorenz-96 modelQ. Sun0Q. Sun1T. Miyoshi2T. Miyoshi3T. Miyoshi4S. Richard5S. Richard6Data Assimilation Research Team, RIKEN Center for Computational Science (R-CCS), Kobe, 650-0047, JapanGraduate School of Mathematics, Nagoya University, Nagoya, 464-8601, JapanData Assimilation Research Team, RIKEN Center for Computational Science (R-CCS), Kobe, 650-0047, JapanPrediction Science Laboratory, RIKEN Cluster for Pioneering Research, Kobe, 650-0047, JapanRIKEN Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS), Kobe, 650-0047, JapanData Assimilation Research Team, RIKEN Center for Computational Science (R-CCS), Kobe, 650-0047, JapanGraduate School of Mathematics, Nagoya University, Nagoya, 464-8601, Japan<p>The control simulation experiment (CSE) is a recently developed approach to investigate the controllability of dynamical systems, extending the well-known observing system simulation experiment (OSSE) in meteorology. For effective control of chaotic dynamical systems, it is essential to exploit the high sensitivity to initial conditions for dragging a system away from an undesired regime by applying minimal perturbations. In this study, we design a CSE for reducing the number of extreme events in the Lorenz-96 model. The 40 variables of this model represent idealized meteorological quantities evenly distributed on a latitude circle. The reduction of occurrence of extreme events over 100-year runs of the model is discussed as a function of the parameters of the CSE: the ensemble forecast length for detecting extreme events in advance, the magnitude and localization of the perturbations, and the quality and coverage of the observations. The design of the CSE is aimed at reducing weather extremes when applied to more realistic weather prediction models.</p>https://npg.copernicus.org/articles/30/117/2023/npg-30-117-2023.pdf |
| spellingShingle | Q. Sun Q. Sun T. Miyoshi T. Miyoshi T. Miyoshi S. Richard S. Richard Control simulation experiments of extreme events with the Lorenz-96 model Nonlinear Processes in Geophysics |
| title | Control simulation experiments of extreme events with the Lorenz-96 model |
| title_full | Control simulation experiments of extreme events with the Lorenz-96 model |
| title_fullStr | Control simulation experiments of extreme events with the Lorenz-96 model |
| title_full_unstemmed | Control simulation experiments of extreme events with the Lorenz-96 model |
| title_short | Control simulation experiments of extreme events with the Lorenz-96 model |
| title_sort | control simulation experiments of extreme events with the lorenz 96 model |
| url | https://npg.copernicus.org/articles/30/117/2023/npg-30-117-2023.pdf |
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