The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Initialized near-term regional climate change prediction
Open accessAbstract
Climate models are seen by many to be unverifiable. However, near-term climate predictions up to 10 years into the future carried out recently with these models can be rigorously verified against observations. Near-term climate prediction is a new information tool for the climate adaptation and service communities, which often make decisions on near-term time scales, and for which the most basic information is unfortunately very scarce. The Fifth Coupled Model Intercomparison Project set of co-ordinated climate-model experiments includes a set of near-term predictions in which several modelling groups participated and whose forecast quality we illustrate here. We show that climate forecast systems have skill in predicting the Earth’s temperature at regional scales over the past 50 years and illustrate the trustworthiness of their predictions. Most of the skill can be attributed to changes in atmospheric composition, but also partly to the initialization of the predictions. Near-term climate prediction is an information tool used in climate adaptation services. This study analyses the quality of the predictions, showing that near-term climate forecasts have good skill in predicting temperature at regional scales, where most of the skill is attributed to atmospheric composition changes.
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Cites
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Sultan, B., & Gaetani, M. (2016) · Frontiers in Plant Science · doi:10.3389/fpls.2016.01262 · Cited by 553
A signal-to-noise paradox in climate science
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Robust skill of decadal climate predictions
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Self-citationInitialized Earth System prediction from subseasonal to decadal timescales
Meehl, G. A., Richter, J. H., Teng, H., Capotondi, A., Cobb, K., Doblas-Reyes, F., Donat, M. G., England, M. H., Fyfe, J. C., Han, W., et al. (2021) · Nature Reviews Earth & Environment · doi:10.1038/s43017-021-00155-x · Cited by 231
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Metadata
- Authors
- Doblas-Reyes, F. J., Andreu-Burillo, I., Chikamoto, Y., García-Serrano, J., Guemas, V., Kimoto, M., Mochizuki, T., Rodrigues, L. R. L., & van Oldenborgh, G. J.
- Venue
- Nature Communications
- Published
- 2013-04-16
- Volume
- 4
- Issue
- 1
- Pages
- 1715-1715
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2121303799
- Cited by
- 332
- References
- 52
- FWCI
- 22.92
- Type
- journal article
- Language
- en
- Open access
- hybrid
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