Articles | Volume 9, issue 3
https://doi.org/10.5194/cp-9-1141-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/cp-9-1141-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 May 2013
Research article |
| 17 May 2013
An assessment of particle filtering methods and nudging for climate state reconstructions
S. Dubinkina
Earth and Life Institute, Georges Lemaître Centre for Earth and Climate Research, Université catholique de Louvain, P.O. Box L4.03.07, 1348 Louvain-la-Neuve, Belgium
H. Goosse
Earth and Life Institute, Georges Lemaître Centre for Earth and Climate Research, Université catholique de Louvain, P.O. Box L4.03.07, 1348 Louvain-la-Neuve, Belgium
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Cited
23 citations as recorded by crossref.
- DASH: a MATLAB toolbox for paleoclimate data assimilation J. King et al. https://doi.org/10.5194/gmd-16-5653-2023
- cfr (v2024.1.26): a Python package for climate field reconstruction F. Zhu et al. https://doi.org/10.5194/gmd-17-3409-2024
- Testing particle filters on simple convective‐scale models Part l: A stochastic cloud model M. Haslehner et al. https://doi.org/10.1002/qj.2745
- Can we reconstruct the formation of large open-ocean polynyas in the Southern Ocean using ice core records? H. Goosse et al. https://doi.org/10.5194/cp-17-111-2021
- Testing particle filters on simple convective‐scale models. Part 2: A modified shallow‐water model M. Haslehner et al. https://doi.org/10.1002/qj.2757
- Decadal trends in the Antarctic sea ice extent ultimately controlled by ice–ocean feedback H. Goosse & V. Zunz https://doi.org/10.5194/tc-8-453-2014
- Assimilation of pseudo-tree-ring-width observations into an atmospheric general circulation model W. Acevedo et al. https://doi.org/10.5194/cp-13-545-2017
- Data assimilation in the geosciences: An overview of methods, issues, and perspectives A. Carrassi et al. https://doi.org/10.1002/wcc.535
- Applications of large deviation theory in geophysical fluid dynamics and climate science V. Gálfi et al. https://doi.org/10.1007/s40766-021-00020-z
- 古气候数据同化研究进展及展望 亮. 宁 et al. https://doi.org/10.1360/SSTe-2025-0255
- Impact of the initialisation on the predictability of the Southern Ocean sea ice at interannual to multi-decadal timescales V. Zunz et al. https://doi.org/10.1007/s00382-014-2344-9
- Nudging state-space models for Bayesian filtering under misspecified dynamics F. González et al. https://doi.org/10.1007/s11222-025-10648-0
- Progress and prospects of paleoclimate data assimilation L. Ning et al. https://doi.org/10.1007/s11430-025-1810-2
- Coupled data assimilation and parameter estimation in coupled ocean–atmosphere models: a review S. Zhang et al. https://doi.org/10.1007/s00382-020-05275-6
- Large Ensemble Particle Filter for Spatial Climate Reconstructions Using a Linear Inverse Model B. Jebri & M. Khodri https://doi.org/10.1029/2022MS003094
- Development and evaluation of a system of proxy data assimilation for paleoclimate reconstruction A. Okazaki & K. Yoshimura https://doi.org/10.5194/cp-13-379-2017
- Influence of freshwater input on the skill of decadal forecast of sea ice in the Southern Ocean V. Zunz & H. Goosse https://doi.org/10.5194/tc-9-541-2015
- An Adaptive Nudging Scheme with Spatially Varying Gain for Improving the Ability of Ocean Temperature Assimilation in SPEEDY-NEMO Y. Wang et al. https://doi.org/10.3390/jmse14010001
- Towards the assimilation of tree-ring-width records using ensemble Kalman filtering techniques W. Acevedo et al. https://doi.org/10.1007/s00382-015-2683-1
- Twin experiments with the equivalent weights particle filter and HadCM3 P. Browne & P. van Leeuwen https://doi.org/10.1002/qj.2621
- Tropical forcing of increased Southern Ocean climate variability revealed by a 140-year subantarctic temperature reconstruction C. Turney et al. https://doi.org/10.5194/cp-13-231-2017
- Paleoclimate data assimilation: Its motivation, progress and prospects M. Fang & X. Li https://doi.org/10.1007/s11430-015-5432-6
- 古气候数据同化<bold>: </bold>缘起<bold>、</bold>进展与展望 苗. 方 & 新. 李 https://doi.org/10.1360/N072015-00432
23 citations as recorded by crossref.
- DASH: a MATLAB toolbox for paleoclimate data assimilation J. King et al. https://doi.org/10.5194/gmd-16-5653-2023
- cfr (v2024.1.26): a Python package for climate field reconstruction F. Zhu et al. https://doi.org/10.5194/gmd-17-3409-2024
- Testing particle filters on simple convective‐scale models Part l: A stochastic cloud model M. Haslehner et al. https://doi.org/10.1002/qj.2745
- Can we reconstruct the formation of large open-ocean polynyas in the Southern Ocean using ice core records? H. Goosse et al. https://doi.org/10.5194/cp-17-111-2021
- Testing particle filters on simple convective‐scale models. Part 2: A modified shallow‐water model M. Haslehner et al. https://doi.org/10.1002/qj.2757
- Decadal trends in the Antarctic sea ice extent ultimately controlled by ice–ocean feedback H. Goosse & V. Zunz https://doi.org/10.5194/tc-8-453-2014
- Assimilation of pseudo-tree-ring-width observations into an atmospheric general circulation model W. Acevedo et al. https://doi.org/10.5194/cp-13-545-2017
- Data assimilation in the geosciences: An overview of methods, issues, and perspectives A. Carrassi et al. https://doi.org/10.1002/wcc.535
- Applications of large deviation theory in geophysical fluid dynamics and climate science V. Gálfi et al. https://doi.org/10.1007/s40766-021-00020-z
- 古气候数据同化研究进展及展望 亮. 宁 et al. https://doi.org/10.1360/SSTe-2025-0255
- Impact of the initialisation on the predictability of the Southern Ocean sea ice at interannual to multi-decadal timescales V. Zunz et al. https://doi.org/10.1007/s00382-014-2344-9
- Nudging state-space models for Bayesian filtering under misspecified dynamics F. González et al. https://doi.org/10.1007/s11222-025-10648-0
- Progress and prospects of paleoclimate data assimilation L. Ning et al. https://doi.org/10.1007/s11430-025-1810-2
- Coupled data assimilation and parameter estimation in coupled ocean–atmosphere models: a review S. Zhang et al. https://doi.org/10.1007/s00382-020-05275-6
- Large Ensemble Particle Filter for Spatial Climate Reconstructions Using a Linear Inverse Model B. Jebri & M. Khodri https://doi.org/10.1029/2022MS003094
- Development and evaluation of a system of proxy data assimilation for paleoclimate reconstruction A. Okazaki & K. Yoshimura https://doi.org/10.5194/cp-13-379-2017
- Influence of freshwater input on the skill of decadal forecast of sea ice in the Southern Ocean V. Zunz & H. Goosse https://doi.org/10.5194/tc-9-541-2015
- An Adaptive Nudging Scheme with Spatially Varying Gain for Improving the Ability of Ocean Temperature Assimilation in SPEEDY-NEMO Y. Wang et al. https://doi.org/10.3390/jmse14010001
- Towards the assimilation of tree-ring-width records using ensemble Kalman filtering techniques W. Acevedo et al. https://doi.org/10.1007/s00382-015-2683-1
- Twin experiments with the equivalent weights particle filter and HadCM3 P. Browne & P. van Leeuwen https://doi.org/10.1002/qj.2621
- Tropical forcing of increased Southern Ocean climate variability revealed by a 140-year subantarctic temperature reconstruction C. Turney et al. https://doi.org/10.5194/cp-13-231-2017
- Paleoclimate data assimilation: Its motivation, progress and prospects M. Fang & X. Li https://doi.org/10.1007/s11430-015-5432-6
- 古气候数据同化<bold>: </bold>缘起<bold>、</bold>进展与展望 苗. 方 & 新. 李 https://doi.org/10.1360/N072015-00432
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