Research article
15 Dec 2017
Research article
| 15 Dec 2017
Inverse stochastic–dynamic models for high-resolution Greenland ice core records
Niklas Boers et al.
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Cited
15 citations as recorded by crossref.
- Intrinsic Pink-Noise Multidecadal Global Climate Dynamics Mode W. Moon et al. 10.1103/PhysRevLett.121.108701
- The effect of state dependence in a delay differential equation model for the El Niño Southern Oscillation A. Keane et al. 10.1098/rsta.2018.0121
- Stochastic rectification of fast oscillations on slow manifold closures M. Chekroun et al. 10.1073/pnas.2113650118
- A consistent statistical model selection for abrupt glacial climate changes J. Lohmann & P. Ditlevsen 10.1007/s00382-018-4519-2
- On the numerical integration of the Lorenz-96 model, with scalar additive noise, for benchmark twin experiments C. Grudzien et al. 10.5194/gmd-13-1903-2020
- Ocean circulation, ice shelf, and sea ice interactions explain Dansgaard–Oeschger cycles N. Boers et al. 10.1073/pnas.1802573115
- Is the glacial climate scale invariant? T. Mitsui et al. 10.1093/climsys/dzy011
- Reconstructing complex system dynamics from time series: a method comparison F. Hassanibesheli et al. 10.1088/1367-2630/ab9ce5
- Early-warning signals for Dansgaard-Oeschger events in a high-resolution ice core record N. Boers 10.1038/s41467-018-04881-7
- Applying interval stability concept to empirical model of middle Pleistocene transition E. Loskutov et al. 10.1063/5.0079963
- Efficient reduction for diagnosing Hopf bifurcation in delay differential systems: Applications to cloud-rain models M. Chekroun et al. 10.1063/5.0004697
- Dansgaard–Oeschger-like events of the penultimate climate cycle: the loess point of view D. Rousseau et al. 10.5194/cp-16-713-2020
- Neural closure models for dynamical systems A. Gupta & P. Lermusiaux 10.1098/rspa.2020.1004
- Eurasian contribution to the last glacial dust cycle: how are loess sequences built? D. Rousseau et al. 10.5194/cp-13-1181-2017
- A complete representation of uncertainties in layer-counted paleoclimatic archives N. Boers et al. 10.5194/cp-13-1169-2017
13 citations as recorded by crossref.
- Intrinsic Pink-Noise Multidecadal Global Climate Dynamics Mode W. Moon et al. 10.1103/PhysRevLett.121.108701
- The effect of state dependence in a delay differential equation model for the El Niño Southern Oscillation A. Keane et al. 10.1098/rsta.2018.0121
- Stochastic rectification of fast oscillations on slow manifold closures M. Chekroun et al. 10.1073/pnas.2113650118
- A consistent statistical model selection for abrupt glacial climate changes J. Lohmann & P. Ditlevsen 10.1007/s00382-018-4519-2
- On the numerical integration of the Lorenz-96 model, with scalar additive noise, for benchmark twin experiments C. Grudzien et al. 10.5194/gmd-13-1903-2020
- Ocean circulation, ice shelf, and sea ice interactions explain Dansgaard–Oeschger cycles N. Boers et al. 10.1073/pnas.1802573115
- Is the glacial climate scale invariant? T. Mitsui et al. 10.1093/climsys/dzy011
- Reconstructing complex system dynamics from time series: a method comparison F. Hassanibesheli et al. 10.1088/1367-2630/ab9ce5
- Early-warning signals for Dansgaard-Oeschger events in a high-resolution ice core record N. Boers 10.1038/s41467-018-04881-7
- Applying interval stability concept to empirical model of middle Pleistocene transition E. Loskutov et al. 10.1063/5.0079963
- Efficient reduction for diagnosing Hopf bifurcation in delay differential systems: Applications to cloud-rain models M. Chekroun et al. 10.1063/5.0004697
- Dansgaard–Oeschger-like events of the penultimate climate cycle: the loess point of view D. Rousseau et al. 10.5194/cp-16-713-2020
- Neural closure models for dynamical systems A. Gupta & P. Lermusiaux 10.1098/rspa.2020.1004
Latest update: 28 Jun 2022
Short summary
We use a Bayesian approach for inferring inverse, stochastic–dynamic models from northern Greenland (NGRIP) oxygen and dust records of subdecadal resolution for the interval 59 to 22 ka b2k. Our model reproduces the statistical and dynamical characteristics of the records, including the Dansgaard–Oeschger variability, with no need for external forcing. The crucial ingredients are cubic drift terms, nonlinear coupling terms between the oxygen and dust time series, and non-Markovian contributions.
We use a Bayesian approach for inferring inverse, stochastic–dynamic models from northern...
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