The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The scientific challenge of understanding and estimating climate change
Open accessAbstract
Given the slow unfolding of what may become catastrophic changes to Earth’s climate, many are understandably distraught by failures of public policy to rise to the magnitude of the challenge. Few in the science community would think to question the scientific response to the unfolding changes. However, is the science community continuing to do its part to the best of its ability? In the domains where we can have the greatest influence, is the scientific community articulating a vision commensurate with the challenges posed by climate change? We think not.
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Citations
Cites
Trajectories of the Earth System in the Anthropocene
Steffen, W., Rockström, J., Richardson, K., Lenton, T. M., Folke, C., Liverman, D., Summerhayes, C. P., Barnosky, A. D., Cornell, S. E., Crucifix, M., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1810141115 · Cited by 3,139
The quiet revolution of numerical weather prediction
Bauer, P., Thorpe, A., & Brunet, G. (2015) · Nature · doi:10.1038/nature14956 · Cited by 2,729
DYAMOND: the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains
Stevens, B., Satoh, M., Auger, L., Biercamp, J., Bretherton, C. S., Chen, X., Düben, P., Judt, F., Khairoutdinov, M., Klocke, D., et al. (2019) · Progress in Earth and Planetary Science · doi:10.1186/s40645-019-0304-z · Cited by 586
Self-citationMauritsen, T., & Roeckner, E. (2020) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2019ms002037 · Cited by 89
Cited by
Neural general circulation models for weather and climate
Kochkov, D., Yuval, J., Langmore, I., Norgaard, P., Smith, J., Mooers, G., Klöwer, M., Lottes, J., Rasp, S., Düben, P., et al. (2024) · Nature · doi:10.1038/s41586-024-07744-y · Cited by 454
“9–22.”
BackgroundMaulu, S., Hasimuna, O. J., Haambiya, L. H., Monde, C., Musuka, C. G., Makorwa, T. H., Munganga, B. P., Phiri, K. J., & Nsekanabo, J. D. (2021) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2021.609097 · Cited by 423
(2023) · Climate Change 2021 – The Physical Science Basis · doi:10.1017/9781009157896.003 · Cited by 298
Improved Estimates of Changes in Upper Ocean Salinity and the Hydrological Cycle
Cheng, L., Trenberth, K. E., Gruber, N., Abraham, J. P., Fasullo, J. T., Li, G., Mann, M. E., Zhao, X., & Zhu, J. (2020) · Journal of Climate · doi:10.1175/jcli-d-20-0366.1 · Cited by 266
Fiedler, S., Crueger, T., D’Agostino, R., Peters, K., Becker, T., Leutwyler, D., Paccini, L., Burdanowitz, J., Buehler, S. A., Cortes, A. U., et al. (2020) · Monthly Weather Review · doi:10.1175/mwr-d-19-0404.1 · Cited by 166
Self-citation
Metadata
- Authors
- Palmer, T., & Stevens, B.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2019-12-02
- Volume
- 116
- Issue
- 49
- Pages
- 24390-24395
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2990674082
- Cited by
- 215
- References
- 4
- FWCI
- 14.32
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
