The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
An Improved Procedure for EI Niño Forecasting: Implications for Predictability
Abstract
A coupled ocean-atmosphere data assimilation procedure yields improved forecasts of El Niño for the 1980s compared with previous forecasting procedures. As in earlier forecasts with the same model, no oceanic data were used, and only wind information was assimilated. The improvement is attributed to the explicit consideration of air-sea interaction in the initialization. These results suggest that El Niño is more predictable than previously estimated, but that predictability may vary on decadal or longer time scales. This procedure also eliminates the well-known spring barrier to El Niño prediction, which implies that it may not be intrinsic to the real climate system.
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Citations
Cites
Atmospheric predictability experiments with a large numerical model
Lorenz, E. N. (1982) · Tellus A: Dynamic Meteorology and Oceanography · doi:10.3402/tellusa.v34i6.10836 · Cited by 450
Cited by
(1998) · Cited by 1,332
The Tropical Ocean‐Global Atmosphere observing system: A decade of progress
McPhaden, M. J., Busalacchi, A. J., Cheney, R., Donguy, J., Gage, K. S., Halpern, D., Ji, M., Julian, P., Meyers, G., Mitchum, G. T., et al. (1998) · Journal of Geophysical Research: Oceans · doi:10.1029/97jc02906 · Cited by 1,068
Self-citationA review of the predictability and prediction of ENSO
Latif, M., Anderson, D., Barnett, T., Cane, M., Kleeman, R., Leetmaa, A., O'Brien, J., Rosati, A., & Schneider, E. (1998) · Journal of Geophysical Research: Oceans · doi:10.1029/97jc03413 · Cited by 537
Self-citationEl Niño Southern Oscillation and tuna in the western Pacific
Lehodey, P., Bertignac, M., Hampton, J., Lewis, A., & Picaut, J. (1997) · Nature · doi:10.1038/39575 · Cited by 494
Behringer, D. W., Ji, M., & Leetmaa, A. (1998) · Monthly Weather Review · doi:10.1175/1520-0493(1998)126<1013:aicmfe>2.0.co;2 · Cited by 432
Metadata
- Authors
- Chen, D., Zebiak, S. E., Busalacchi, A. J., & Cane, M. A.
- Venue
- Science
- Published
- 1995-09-22
- Volume
- 269
- Issue
- 5231
- Pages
- 1699-1702
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2058489963
- Cited by
- 319
- References
- 1
- FWCI
- 28.04
- Type
- journal article
- Language
- en
- Open access
- closed
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- Chen, D., Zebiak, S. E., Busalacchi, A. J., & Cane, M. A. (1995). An Improved Procedure for EI Niño Forecasting: Implications for Predictability. Science. https://doi.org/10.1126/science.269.5231.1699
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.