The DOI matches its DataCite record.
Verification of extreme weather events: Discrete predictands
Open accessOverview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The tracker we used for GraphCast is based on our reimplementation of ECMWF's tracker [35].”
From Learning skillful medium-range global weather forecasting (2023) · cites this paper as [35]
Citations
Cited by
Sorted by citations
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
FuXi-Extreme: Improving extreme rainfall and wind forecasts with diffusion model
Zhong, X., Chen, L., Liu, J., Lin, C., Qi, Y., & Li, H. (2024) · Science China Earth Sciences · doi:10.1007/s11430-023-1427-x · Cited by 37
Metadata
- Authors
- Magnusson, L., Richardson, D., & Haiden, T.
- Affiliations
- European Centre for Medium-Range Weather Forecasts (GB)
- Venue
- ECMWF
- Publisher
- ECMWF
- Published
- 2014
- OpenAlex
- W6963649141
- Cited by
- 8
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 1 · 2021: 1 · 2019: 2
- FWCI
- 0.00
- 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 › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
- Keywords
- extreme weather events, verification, forecast verification
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Verification of extreme weather events: Discrete predictands. https://app.cochat.ai/papers/10.21957/1iql31n2c
- The paper
- Magnusson, L., Richardson, D., & Haiden, T. (2014). Verification of extreme weather events: Discrete predictands. ECMWF. https://doi.org/10.21957/1iql31n2c
