Numerical aspects of applying the fluctuation dissipation theorem to study climate system sensitivity to external forcings
Abstract The fluctuation dissipation theorem (FDT), a classical result coming from statistical mechanics, suggests that, under certain conditions, the system response to external forcing can be obtained using the statistics of natural fluctuation of the system. The application of the FDT to the most...
Published in: | Russian Journal of Numerical Analysis and Mathematical Modelling |
---|---|
Main Authors: | , |
Other Authors: | |
Format: | Article in Journal/Newspaper |
Language: | unknown |
Published: |
Walter de Gruyter GmbH
2016
|
Subjects: | |
Online Access: | http://dx.doi.org/10.1515/rnam-2016-0032 http://www.degruyter.com/view/j/rnam.2016.31.issue-6/rnam-2016-0032/rnam-2016-0032.xml https://www.degruyter.com/document/doi/10.1515/rnam-2016-0032/pdf |
id |
crdegruyter:10.1515/rnam-2016-0032 |
---|---|
record_format |
openpolar |
spelling |
crdegruyter:10.1515/rnam-2016-0032 2023-05-15T17:33:16+02:00 Numerical aspects of applying the fluctuation dissipation theorem to study climate system sensitivity to external forcings Gritsun, Andrey Branstator, Grant Russian Science Foundation 2016 http://dx.doi.org/10.1515/rnam-2016-0032 http://www.degruyter.com/view/j/rnam.2016.31.issue-6/rnam-2016-0032/rnam-2016-0032.xml https://www.degruyter.com/document/doi/10.1515/rnam-2016-0032/pdf unknown Walter de Gruyter GmbH Russian Journal of Numerical Analysis and Mathematical Modelling volume 31, issue 6 ISSN 1569-3988 0927-6467 Modeling and Simulation Numerical Analysis journal-article 2016 crdegruyter https://doi.org/10.1515/rnam-2016-0032 2022-07-08T14:11:21Z Abstract The fluctuation dissipation theorem (FDT), a classical result coming from statistical mechanics, suggests that, under certain conditions, the system response to external forcing can be obtained using the statistics of natural fluctuation of the system. The application of the FDT to the most sophisticated climate models and the real climate system represents a difficult problem due to the huge dimensionality of these systems and the lack of the data available for proper sampling of the system natural variability. As a consequence, one has to use some regularization procedures constraining the form of permitted perturbations. Naturally, the skill of the FDT depends on the type and parameters of the regularization procedure. In the present paper we apply FDT to predict the response of a recent version of the NCAR climate system model (CCSM4) to salinity and temperature forcing anomalies in the North Atlantic. We study the sensitivity of our results to the amount of available data and to key parameters used in our numerical algorithm. Article in Journal/Newspaper North Atlantic De Gruyter (via Crossref) Russian Journal of Numerical Analysis and Mathematical Modelling 31 6 |
institution |
Open Polar |
collection |
De Gruyter (via Crossref) |
op_collection_id |
crdegruyter |
language |
unknown |
topic |
Modeling and Simulation Numerical Analysis |
spellingShingle |
Modeling and Simulation Numerical Analysis Gritsun, Andrey Branstator, Grant Numerical aspects of applying the fluctuation dissipation theorem to study climate system sensitivity to external forcings |
topic_facet |
Modeling and Simulation Numerical Analysis |
description |
Abstract The fluctuation dissipation theorem (FDT), a classical result coming from statistical mechanics, suggests that, under certain conditions, the system response to external forcing can be obtained using the statistics of natural fluctuation of the system. The application of the FDT to the most sophisticated climate models and the real climate system represents a difficult problem due to the huge dimensionality of these systems and the lack of the data available for proper sampling of the system natural variability. As a consequence, one has to use some regularization procedures constraining the form of permitted perturbations. Naturally, the skill of the FDT depends on the type and parameters of the regularization procedure. In the present paper we apply FDT to predict the response of a recent version of the NCAR climate system model (CCSM4) to salinity and temperature forcing anomalies in the North Atlantic. We study the sensitivity of our results to the amount of available data and to key parameters used in our numerical algorithm. |
author2 |
Russian Science Foundation |
format |
Article in Journal/Newspaper |
author |
Gritsun, Andrey Branstator, Grant |
author_facet |
Gritsun, Andrey Branstator, Grant |
author_sort |
Gritsun, Andrey |
title |
Numerical aspects of applying the fluctuation dissipation theorem to study climate system sensitivity to external forcings |
title_short |
Numerical aspects of applying the fluctuation dissipation theorem to study climate system sensitivity to external forcings |
title_full |
Numerical aspects of applying the fluctuation dissipation theorem to study climate system sensitivity to external forcings |
title_fullStr |
Numerical aspects of applying the fluctuation dissipation theorem to study climate system sensitivity to external forcings |
title_full_unstemmed |
Numerical aspects of applying the fluctuation dissipation theorem to study climate system sensitivity to external forcings |
title_sort |
numerical aspects of applying the fluctuation dissipation theorem to study climate system sensitivity to external forcings |
publisher |
Walter de Gruyter GmbH |
publishDate |
2016 |
url |
http://dx.doi.org/10.1515/rnam-2016-0032 http://www.degruyter.com/view/j/rnam.2016.31.issue-6/rnam-2016-0032/rnam-2016-0032.xml https://www.degruyter.com/document/doi/10.1515/rnam-2016-0032/pdf |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Russian Journal of Numerical Analysis and Mathematical Modelling volume 31, issue 6 ISSN 1569-3988 0927-6467 |
op_doi |
https://doi.org/10.1515/rnam-2016-0032 |
container_title |
Russian Journal of Numerical Analysis and Mathematical Modelling |
container_volume |
31 |
container_issue |
6 |
_version_ |
1766131710193303552 |