Articles | Volume 11, issue 1
https://doi.org/10.5194/os-11-187-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/os-11-187-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 Feb 2015
Research article |
| 06 Feb 2015
Roles of initial ocean surface and subsurface states on successfully predicting 2006–2007 El Niño with an intermediate coupled model
F. Zheng
CORRESPONDING AUTHOR
International Center for Climate and Environment Science (ICCES), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
J. Zhu
International Center for Climate and Environment Science (ICCES), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
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Cited
20 citations as recorded by crossref.
- The impact of ocean data assimilation on seasonal predictions based on the National Climate Center climate system model W. Zhou et al. 10.1007/s13131-021-1732-3
- A possible bias of simulating the post-2000 changing ENSO F. Zheng et al. 10.1007/s11434-015-0912-y
- An ensemble-based SST nudging method proposed for correcting the subsurface temperature field in climate model X. Chen et al. 10.1007/s13131-020-1568-2
- Impact of satellite and regional in-situ profile data assimilation on a high-resolution ocean prediction system in the Northwest Pacific I. Chang et al. 10.3389/fmars.2023.1085542
- The ‘Two oceans and one sea’ extended range numerical prediction system with an ultra-high resolution atmosphere-ocean-land regional coupled model S. Zhang et al. 10.1080/16742834.2018.1494498
- Roles of initial ocean states on predicting the 2002/03 central Pacific El Niño F. Zheng et al. 10.1007/s13131-015-0770-0
- ENSO hindcast skill of the IAP-DecPreS near-term climate prediction system: comparison of full-field and anomaly initialization Q. SUN et al. 10.1080/16742834.2018.1411753
- Estimating the Role of SST in Atmospheric Surface Wind Variability over the Tropical Atlantic and Pacific I. Richter & T. Doi 10.1175/JCLI-D-18-0468.1
- A Review of Research on Tropical Air-Sea Interaction, ENSO Dynamics, and ENSO Prediction in China H. Ren et al. 10.1007/s13351-020-9155-1
- Key Processes on Triggering the Moderate 2020/21 La Niña Event as Depicted by the Clustering Approach T. Cao et al. 10.3389/feart.2022.822854
- Evaluation of Oceanic Surface Observation for Reproducing the Upper Ocean Structure in ECHAM5/MPI‐OM H. Luo et al. 10.1002/2017JC013413
- Contrasting the skills and biases of deterministic predictions for the two types of El Niño F. Zheng & J. Yu 10.1007/s00376-017-6324-y
- The cloud‐radiative effect when simulating strength asymmetry in two types of El Niño events using CMIP5 models X. Fang et al. 10.1002/2014JC010683
- Evaluation of the tropical variability from the Beijing Climate Center’s real-time operational global Ocean Data Assimilation System W. Zhou et al. 10.1007/s00376-015-4282-9
- A Simple Bias Correction Scheme in Ocean Data Assimilation C. Yan & J. Zhu 10.3390/jmse11010205
- Analysis of Long-Term Meteorological Observation for Weather and Climate Fundamental Data over the Northern Tibetan Plateau F. Huang & W. Ma 10.1155/2016/4878353
- Improved ensemble-mean forecasting of ENSO events by a zero-mean stochastic error model of an intermediate coupled model F. Zheng & J. Zhu 10.1007/s00382-016-3048-0
- On the “spring predictability barrier” for strong El Niño events as derived from an intermediate coupled model ensemble prediction system Q. Qi et al. 10.1007/s11430-017-9087-2
- A Reasonable Mean Dynamic Topography State on Improving the Ability of Assimilating the Altimetry Observations into a Coupled Climate System Model: An Example With CAS‐ESM‐C X. Dong et al. 10.1029/2020JC016760
- On Oceanic Initial State Errors in the Ensemble Data Assimilation for a Coupled General Circulation Model Y. Chen et al. 10.1029/2022MS003106
20 citations as recorded by crossref.
- The impact of ocean data assimilation on seasonal predictions based on the National Climate Center climate system model W. Zhou et al. 10.1007/s13131-021-1732-3
- A possible bias of simulating the post-2000 changing ENSO F. Zheng et al. 10.1007/s11434-015-0912-y
- An ensemble-based SST nudging method proposed for correcting the subsurface temperature field in climate model X. Chen et al. 10.1007/s13131-020-1568-2
- Impact of satellite and regional in-situ profile data assimilation on a high-resolution ocean prediction system in the Northwest Pacific I. Chang et al. 10.3389/fmars.2023.1085542
- The ‘Two oceans and one sea’ extended range numerical prediction system with an ultra-high resolution atmosphere-ocean-land regional coupled model S. Zhang et al. 10.1080/16742834.2018.1494498
- Roles of initial ocean states on predicting the 2002/03 central Pacific El Niño F. Zheng et al. 10.1007/s13131-015-0770-0
- ENSO hindcast skill of the IAP-DecPreS near-term climate prediction system: comparison of full-field and anomaly initialization Q. SUN et al. 10.1080/16742834.2018.1411753
- Estimating the Role of SST in Atmospheric Surface Wind Variability over the Tropical Atlantic and Pacific I. Richter & T. Doi 10.1175/JCLI-D-18-0468.1
- A Review of Research on Tropical Air-Sea Interaction, ENSO Dynamics, and ENSO Prediction in China H. Ren et al. 10.1007/s13351-020-9155-1
- Key Processes on Triggering the Moderate 2020/21 La Niña Event as Depicted by the Clustering Approach T. Cao et al. 10.3389/feart.2022.822854
- Evaluation of Oceanic Surface Observation for Reproducing the Upper Ocean Structure in ECHAM5/MPI‐OM H. Luo et al. 10.1002/2017JC013413
- Contrasting the skills and biases of deterministic predictions for the two types of El Niño F. Zheng & J. Yu 10.1007/s00376-017-6324-y
- The cloud‐radiative effect when simulating strength asymmetry in two types of El Niño events using CMIP5 models X. Fang et al. 10.1002/2014JC010683
- Evaluation of the tropical variability from the Beijing Climate Center’s real-time operational global Ocean Data Assimilation System W. Zhou et al. 10.1007/s00376-015-4282-9
- A Simple Bias Correction Scheme in Ocean Data Assimilation C. Yan & J. Zhu 10.3390/jmse11010205
- Analysis of Long-Term Meteorological Observation for Weather and Climate Fundamental Data over the Northern Tibetan Plateau F. Huang & W. Ma 10.1155/2016/4878353
- Improved ensemble-mean forecasting of ENSO events by a zero-mean stochastic error model of an intermediate coupled model F. Zheng & J. Zhu 10.1007/s00382-016-3048-0
- On the “spring predictability barrier” for strong El Niño events as derived from an intermediate coupled model ensemble prediction system Q. Qi et al. 10.1007/s11430-017-9087-2
- A Reasonable Mean Dynamic Topography State on Improving the Ability of Assimilating the Altimetry Observations into a Coupled Climate System Model: An Example With CAS‐ESM‐C X. Dong et al. 10.1029/2020JC016760
- On Oceanic Initial State Errors in the Ensemble Data Assimilation for a Coupled General Circulation Model Y. Chen et al. 10.1029/2022MS003106
Latest update: 03 Oct 2023
