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A new grid for the IFS
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“These differences may in part be caused by the methods used to regrid them from their respective native IFS resolutions of TL639 (0.28125◦) and TCo1279 (approx. 0.1◦, [36]) to a 0.25° equiangular grid.”
From Learning skillful medium-range global weather forecasting (2023) · cites this paper as [36]
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ERA5-Land: a state-of-the-art global reanalysis dataset for land applications
Muñoz-Sabater, J., Dutra, E., Agustí-Panareda, A., Albergel, C., Arduini, G., Balsamo, G., Boussetta, S., Choulga, M., Harrigan, S., Hersbach, H., et al. (2021) · Earth System Science Data · doi:10.5194/essd-13-4349-2021 · Cited by 5,540
Learning skillful medium-range global weather forecasting
Lam, R., Sanchez-Gonzalez, A., Willson, M., Wirnsberger, P., Fortunato, M., Alet, F., Ravuri, S., Ewalds, T., Eaton-Rosen, Z., Hu, W., et al. (2023) · Science · doi:10.1126/science.adi2336 · Cited by 1,466
A foundation model for the Earth system
Bodnar, C., Bruinsma, W. P., Lucic, A., Stanley, M., Allen, A., Brandstetter, J., Garvan, P., Riechert, M., Weyn, J. A., Dong, H., et al. (2025) · Nature · doi:10.1038/s41586-025-09005-y · Cited by 267
Global extreme heat forecasting using neural weather models
Lopez-Gomez, I., McGovern, A., Agrawal, S., & Hickey, J. (2023) · Artificial Intelligence for the Earth Systems · doi:10.1175/aies-d-22-0035.1 · Cited by 41
Metadata
- Authors
- Malardel, S., Wedi, N., Deconinck, W., Diamantakis, M., Kuehnlein, C., Mozdzynski, G., Hamrud, M., & Smolarkiewicz, P.
- Affiliations
- European Centre for Medium-Range Weather Forecasts (GB)
- Venue
- ECMWF
- Publisher
- ECMWF
- Published
- 2016
- OpenAlex
- W6944576743
- Cited by
- 104
- References
- 0
- Citations by year
- 2026: 8 · 2025: 20 · 2024: 14 · 2023: 8 · 2022: 8 · 2021: 23 · 2020: 6 · 2019: 11 · 2018: 3 · 2017: 2 · 2016: 1
- FWCI
- 3.04
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- European Centre for Medium-Range Weather Forecasts
- Topics
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
- Physical Sciences › Engineering › Computational Mechanics › Computational Fluid Dynamics and Aerodynamics
- Keywords
- numerical weather prediction, IFS, model grid, grid resolution, atmospheric models
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A new grid for the IFS. https://app.cochat.ai/papers/10.21957/zwdu9u5i
- The paper
- Malardel, S., Wedi, N., Deconinck, W., Diamantakis, M., Kuehnlein, C., Mozdzynski, G., Hamrud, M., & Smolarkiewicz, P. (2016). A new grid for the IFS. ECMWF. https://doi.org/10.21957/zwdu9u5i
