Articles | Volume 13, issue 5
https://doi.org/10.5194/cp-13-545-2017
© Author(s) 2017. 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-13-545-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
31 May 2017
Research article |
| 31 May 2017
Assimilation of pseudo-tree-ring-width observations into an atmospheric general circulation model
Walter Acevedo
Institut für Meteorologie, Freie Universität Berlin, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
Institut für Mathematik, Universität Potsdam, Karl-Liebknecht-Strasse 24–25, 14476 Potsdam, Germany
Bijan Fallah
CORRESPONDING AUTHOR
Institut für Meteorologie, Freie Universität Berlin, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
Sebastian Reich
Institut für Mathematik, Universität Potsdam, Karl-Liebknecht-Strasse 24–25, 14476 Potsdam, Germany
Ulrich Cubasch
Institut für Meteorologie, Freie Universität Berlin, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
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Cited
20 citations as recorded by crossref.
- A pseudoproxy emulation of the PAGES 2k database using a hierarchy of proxy system models F. Zhu et al. https://doi.org/10.1038/s41597-023-02489-1
- A pseudoproxy assessment of data assimilation for reconstructing the atmosphere–ocean dynamics of hydroclimate extremes N. Steiger & J. Smerdon https://doi.org/10.5194/cp-13-1435-2017
- Consistent multidecadal variability in global temperature reconstructions and simulations over the Common Era R. Neukom et al. https://doi.org/10.1038/s41561-019-0400-0
- New frontiers in tree-ring research J. Pearl et al. https://doi.org/10.1177/0959683620902230
- Testing the performance of dendroclimatic process-based models at global scale with the PAGES2k tree-ring width database J. Rezsöhazy et al. https://doi.org/10.1007/s00382-021-05789-7
- Last Millennium Reanalysis with an expanded proxy database and seasonal proxy modeling R. Tardif et al. https://doi.org/10.5194/cp-15-1251-2019
- Global Evaluation of Proxy System Models for Stable Water Isotopes With Realistic Atmospheric Forcing A. Okazaki & K. Yoshimura https://doi.org/10.1029/2018JD029463
- Paleoclimate data assimilation with CLIMBER-X: An ensemble Kalman filter for the last deglaciation A. Masoum et al. https://doi.org/10.1371/journal.pone.0300138
- Observation error estimation in climate proxies with data assimilation and innovation statistics A. Okazaki et al. https://doi.org/10.5194/cp-21-1801-2025
- Assimilating an expanded tree ring dataset to reconstruct the millennial air temperature fields for the Northern Hemisphere M. Fang et al. https://doi.org/10.1002/joc.7528
- cfr (v2024.1.26): a Python package for climate field reconstruction F. Zhu et al. https://doi.org/10.5194/gmd-17-3409-2024
- Evaluation of iterative Kalman smoother schemes for multi-decadal past climate analysis with comprehensive Earth system models J. García-Pintado & A. Paul https://doi.org/10.5194/gmd-11-5051-2018
- Towards high-resolution climate reconstruction using an off-line data assimilation and COSMO-CLM 5.00 model B. Fallah et al. https://doi.org/10.5194/cp-14-1345-2018
- Revisiting Online and Offline Data Assimilation Comparison for Paleoclimate Reconstruction: An Idealized OSSE Study A. Okazaki et al. https://doi.org/10.1029/2020JD034214
- Using a process-based dendroclimatic proxy system model in a data assimilation framework: a test case in the Southern Hemisphere over the past centuries J. Rezsöhazy et al. https://doi.org/10.5194/cp-18-2093-2022
- An Artificial Neural Networks‐Based Tree Ring Width Proxy System Model for Paleoclimate Data Assimilation M. Fang & X. Li https://doi.org/10.1029/2018MS001525
- A local particle filter and its Gaussian mixture extension implemented with minor modifications to the LETKF S. Kotsuki et al. https://doi.org/10.5194/gmd-15-8325-2022
- DASH: a MATLAB toolbox for paleoclimate data assimilation J. King et al. https://doi.org/10.5194/gmd-16-5653-2023
- Advances in Paleoclimate Data Assimilation J. Tierney et al. https://doi.org/10.1146/annurev-earth-032320-064209
- Insights into the BRT (Boosted Regression Trees) Method in the Study of the Climate-Growth Relationship of Masson Pine in Subtropical China H. Gu et al. https://doi.org/10.3390/f10030228
20 citations as recorded by crossref.
- A pseudoproxy emulation of the PAGES 2k database using a hierarchy of proxy system models F. Zhu et al. https://doi.org/10.1038/s41597-023-02489-1
- A pseudoproxy assessment of data assimilation for reconstructing the atmosphere–ocean dynamics of hydroclimate extremes N. Steiger & J. Smerdon https://doi.org/10.5194/cp-13-1435-2017
- Consistent multidecadal variability in global temperature reconstructions and simulations over the Common Era R. Neukom et al. https://doi.org/10.1038/s41561-019-0400-0
- New frontiers in tree-ring research J. Pearl et al. https://doi.org/10.1177/0959683620902230
- Testing the performance of dendroclimatic process-based models at global scale with the PAGES2k tree-ring width database J. Rezsöhazy et al. https://doi.org/10.1007/s00382-021-05789-7
- Last Millennium Reanalysis with an expanded proxy database and seasonal proxy modeling R. Tardif et al. https://doi.org/10.5194/cp-15-1251-2019
- Global Evaluation of Proxy System Models for Stable Water Isotopes With Realistic Atmospheric Forcing A. Okazaki & K. Yoshimura https://doi.org/10.1029/2018JD029463
- Paleoclimate data assimilation with CLIMBER-X: An ensemble Kalman filter for the last deglaciation A. Masoum et al. https://doi.org/10.1371/journal.pone.0300138
- Observation error estimation in climate proxies with data assimilation and innovation statistics A. Okazaki et al. https://doi.org/10.5194/cp-21-1801-2025
- Assimilating an expanded tree ring dataset to reconstruct the millennial air temperature fields for the Northern Hemisphere M. Fang et al. https://doi.org/10.1002/joc.7528
- cfr (v2024.1.26): a Python package for climate field reconstruction F. Zhu et al. https://doi.org/10.5194/gmd-17-3409-2024
- Evaluation of iterative Kalman smoother schemes for multi-decadal past climate analysis with comprehensive Earth system models J. García-Pintado & A. Paul https://doi.org/10.5194/gmd-11-5051-2018
- Towards high-resolution climate reconstruction using an off-line data assimilation and COSMO-CLM 5.00 model B. Fallah et al. https://doi.org/10.5194/cp-14-1345-2018
- Revisiting Online and Offline Data Assimilation Comparison for Paleoclimate Reconstruction: An Idealized OSSE Study A. Okazaki et al. https://doi.org/10.1029/2020JD034214
- Using a process-based dendroclimatic proxy system model in a data assimilation framework: a test case in the Southern Hemisphere over the past centuries J. Rezsöhazy et al. https://doi.org/10.5194/cp-18-2093-2022
- An Artificial Neural Networks‐Based Tree Ring Width Proxy System Model for Paleoclimate Data Assimilation M. Fang & X. Li https://doi.org/10.1029/2018MS001525
- A local particle filter and its Gaussian mixture extension implemented with minor modifications to the LETKF S. Kotsuki et al. https://doi.org/10.5194/gmd-15-8325-2022
- DASH: a MATLAB toolbox for paleoclimate data assimilation J. King et al. https://doi.org/10.5194/gmd-16-5653-2023
- Advances in Paleoclimate Data Assimilation J. Tierney et al. https://doi.org/10.1146/annurev-earth-032320-064209
- Insights into the BRT (Boosted Regression Trees) Method in the Study of the Climate-Growth Relationship of Masson Pine in Subtropical China H. Gu et al. https://doi.org/10.3390/f10030228
Saved (final revised paper)
Latest update: 04 Jul 2026
Short summary
The purpose of this study is to contribute to the present knowledge of paleo data assimilation techniques by addressing the following two questions: (i) Does the off-line regime naturally appear for the assimilation of tree-ring-width records into an AGCM? (ii) Is the fuzzy logic (FL)-based extension of a forward model still useful to improve the performance of a time-averaged ensemble Kalman filter technique when a climate model is used?
The purpose of this study is to contribute to the present knowledge of paleo data assimilation...
