Climate Time Series: Statistical Modeling and Dynamics
Simple models of the earths energy balance are instrumental for interpreting some qualitative aspects of the dynamics of paleo-climatic data. In the 1980s this led to the investigation of periodically forced dynamical systems of the reaction-diffusion type with small Gaussian noise, and a rough exp...
Main Author: | |
---|---|
Format: | Conference Object |
Language: | German |
Published: |
FernUniversität in Hagen
2012
|
Subjects: | |
Online Access: | https://dx.doi.org/10.5446/18551 https://av.tib.eu/media/18551 |
id |
ftdatacite:10.5446/18551 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.5446/18551 2023-05-15T16:28:17+02:00 Climate Time Series: Statistical Modeling and Dynamics Imkeller, Peter 2012 https://dx.doi.org/10.5446/18551 https://av.tib.eu/media/18551 de ger FernUniversität in Hagen Mathematics FOS Mathematics Conference MediaObject article Audiovisual 2012 ftdatacite https://doi.org/10.5446/18551 2021-11-05T12:55:41Z Simple models of the earths energy balance are instrumental for interpreting some qualitative aspects of the dynamics of paleo-climatic data. In the 1980s this led to the investigation of periodically forced dynamical systems of the reaction-diffusion type with small Gaussian noise, and a rough explanation of glacial cycles by Gaussian metastability. A spectral analysis of Greenland ice time series performed at the end of the 1990s representing average temperatures during the last ice age suggest an α -stable noise component with an α ∼ 1 : 75. Based on this observation, papers in the physics literature attempted an interpretation featuring dynamical systems perturbed by small Lévy noise. Conference Object Greenland DataCite Metadata Store (German National Library of Science and Technology) Greenland |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
German |
topic |
Mathematics FOS Mathematics |
spellingShingle |
Mathematics FOS Mathematics Imkeller, Peter Climate Time Series: Statistical Modeling and Dynamics |
topic_facet |
Mathematics FOS Mathematics |
description |
Simple models of the earths energy balance are instrumental for interpreting some qualitative aspects of the dynamics of paleo-climatic data. In the 1980s this led to the investigation of periodically forced dynamical systems of the reaction-diffusion type with small Gaussian noise, and a rough explanation of glacial cycles by Gaussian metastability. A spectral analysis of Greenland ice time series performed at the end of the 1990s representing average temperatures during the last ice age suggest an α -stable noise component with an α ∼ 1 : 75. Based on this observation, papers in the physics literature attempted an interpretation featuring dynamical systems perturbed by small Lévy noise. |
format |
Conference Object |
author |
Imkeller, Peter |
author_facet |
Imkeller, Peter |
author_sort |
Imkeller, Peter |
title |
Climate Time Series: Statistical Modeling and Dynamics |
title_short |
Climate Time Series: Statistical Modeling and Dynamics |
title_full |
Climate Time Series: Statistical Modeling and Dynamics |
title_fullStr |
Climate Time Series: Statistical Modeling and Dynamics |
title_full_unstemmed |
Climate Time Series: Statistical Modeling and Dynamics |
title_sort |
climate time series: statistical modeling and dynamics |
publisher |
FernUniversität in Hagen |
publishDate |
2012 |
url |
https://dx.doi.org/10.5446/18551 https://av.tib.eu/media/18551 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland |
genre_facet |
Greenland |
op_doi |
https://doi.org/10.5446/18551 |
_version_ |
1766017926434914304 |