Articles | Volume 11, issue 3
https://doi.org/10.5194/npg-11-393-2004
© Author(s) 2004. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/npg-11-393-2004
© Author(s) 2004. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Nonlinear dimensionality reduction in climate data
A. J. Gámez
Institut für Physik, Universität Potsdam, Postfach 601553, D-14415 Potsdam, Germany
C. S. Zhou
Institut für Physik, Universität Potsdam, Postfach 601553, D-14415 Potsdam, Germany
A. Timmermann
Leibniz Institut für Meereswissenschaften, IfM-GEOMAR, Düsternbrooker Weg 20, D-24105 Kiel, Germany
J. Kurths
Institut für Physik, Universität Potsdam, Postfach 601553, D-14415 Potsdam, Germany
Viewed
Total article views: 2,315 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,299 | 866 | 150 | 2,315 | 172 | 138 |
- HTML: 1,299
- PDF: 866
- XML: 150
- Total: 2,315
- BibTeX: 172
- EndNote: 138
Cited
35 citations as recorded by crossref.
- Nonlinear manifold learning for meshfree finite deformation thin‐shell analysis D. Millán et al. 10.1002/nme.4403
- Distinguishing the effects of internal and forced atmospheric variability in climate networks J. Deza et al. 10.5194/npg-21-617-2014
- Identifying multiple spatiotemporal patterns: A refined view on terrestrial photosynthetic activity M. Mahecha et al. 10.1016/j.patrec.2010.06.021
- How complex climate networks complement eigen techniques for the statistical analysis of climatological data J. Donges et al. 10.1007/s00382-015-2479-3
- Nonlinear dimensionality reduction: Alternative ordination approaches for extracting and visualizing biodiversity patterns in tropical montane forest vegetation data M. Mahecha et al. 10.1016/j.ecoinf.2007.05.002
- Data-driven stochastic model for cross-interacting processes with different time scales A. Gavrilov et al. 10.1063/5.0077302
- Modelling multivariate data systems: application to El Niño and the Annual Cycle A. Gámez 10.1088/1367-2630/9/12/432
- Spatiotemporal multiscaling analysis of impurity transport in plasma turbulence using proper orthogonal decomposition S. Futatani et al. 10.1063/1.3095865
- Optimal model-free prediction from multivariate time series J. Runge et al. 10.1103/PhysRevE.91.052909
- Low-frequency variability of European runoff L. Gudmundsson et al. 10.5194/hess-15-2853-2011
- Principal nonlinear dynamical modes of climate variability D. Mukhin et al. 10.1038/srep15510
- Nonlinear manifold learning for model reduction in finite elastodynamics D. Millán & M. Arroyo 10.1016/j.cma.2013.04.007
- Low-dimensional, free-energy landscapes of protein-folding reactions by nonlinear dimensionality reduction P. Das et al. 10.1073/pnas.0603553103
- Using Isomap to differentiate between anthropogenic and natural effects on groundwater dynamics in a complex geological setting S. Böttcher et al. 10.1016/j.jhydrol.2014.09.048
- Bayesian framework for simulation of dynamical systems from multidimensional data using recurrent neural network A. Seleznev et al. 10.1063/1.5128372
- Method for reconstructing nonlinear modes with adaptive structure from multidimensional data A. Gavrilov et al. 10.1063/1.4968852
- Evolving climate network perspectives on global surface air temperature effects of ENSO and strong volcanic eruptions T. Kittel et al. 10.1140/epjs/s11734-021-00269-9
- Tracing biogeochemical processes in stream water and groundwater using non-linear statistics G. Lischeid & J. Bittersohl 10.1016/j.jhydrol.2008.03.013
- Which processes prevail? C. Schilli et al. 10.1016/j.geoderma.2010.06.014
- 20th century intraseasonal Asian monsoon dynamics viewed from Isomap A. Hannachi & A. Turner 10.5194/npg-20-725-2013
- Bayesian optimization of empirical model with state-dependent stochastic forcing A. Gavrilov et al. 10.1016/j.chaos.2017.08.032
- Revealing biogeographical patterns by nonlinear ordinations and derived anisotropic spatial filters M. Mahecha & S. Schmidtlein 10.1111/j.1466-8238.2007.00368.x
- Probabilistic modeling of multivariate extreme non-Gaussian wind loads and its applications in envelope engineering B. Cui & P. Huang 10.1016/j.jobe.2024.111119
- Simulation of Complex Systems Using the Observed Data Based on Recurrent Artificial Neural Networks A. Seleznev et al. 10.1007/s11141-019-09945-2
- Subsurface Utility Extraction and Characterization: Combining GPR Symmetry and Polarization Attributes U. Boniger & J. Tronicke 10.1109/TGRS.2011.2163413
- Learning a Weather Dictionary of Atmospheric Patterns Using Latent Dirichlet Allocation L. Fery et al. 10.1029/2021GL096184
- Linear dynamical modes as new variables for data-driven ENSO forecast A. Gavrilov et al. 10.1007/s00382-018-4255-7
- Nonlinear reconstruction of global climate leading modes on decadal scales D. Mukhin et al. 10.1007/s00382-017-4013-2
- Identification of dynamical transitions in marine palaeoclimate records by recurrence network analysis J. Donges et al. 10.5194/npg-18-545-2011
- An adaptive sampling algorithm for reduced‐order models using Isomap R. Halder et al. 10.1002/nme.7427
- Coherent vorticity extraction in resistive drift-wave turbulence: Comparison of orthogonal wavelets versus proper orthogonal decomposition S. Futatani et al. 10.1016/j.crhy.2010.12.004
- Application of Deep Learning to Understanding ENSO Dynamics N. Shin et al. 10.1175/AIES-D-21-0011.1
- Non-linear visualization and analysis of large water quality data sets: a model-free basis for efficient monitoring and risk assessment G. Lischeid 10.1007/s00477-008-0266-y
- Analysis of 20th century surface air temperature using linear dynamical modes A. Gavrilov et al. 10.1063/5.0028246
- Detecting dominant changes in irregularly sampled multivariate water quality data sets C. Lehr et al. 10.5194/hess-22-4401-2018
Latest update: 21 Nov 2024