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Keyword: 2021 Pacific Northwest heatwave Clear all
4 claims from 2 papers
Earth and Planetary Sciences › Meteorological Phenomena and Simulations
Validating Deep Learning Weather Forecast Models on Recent High-Impact Extreme Events
Pasche, Wider, Zhang, Zscheischler and Engelke · Artificial Intelligence for the Earth Systems · 2024
Unchecked1 claimShow the claim
- UncheckedMachine-learning weather models matched HRES accuracy locally during the Pacific Northwest heatwave but did worse when averaged over space and time.“We find that ML weather prediction models locally achieve similar accuracy to HRES on the record-shattering Pacific Northwest heatwave but underperform when aggregated over space and time.”
Earth and Planetary Sciences › Meteorological Phenomena and Simulations
Predictability Limit of the 2021 Pacific Northwest Heatwave from Deep-Learning Sensitivity Analysis
Vonich and Hakim · arXiv (Cornell University) · 2024
The authors used deep-learning gradient methods to tune initial conditions and reduce forecast errors for the 2021 Pacific Northwest heatwave, finding improvement out to about 23 days.
Unchecked3 claimsShow 3 claims
- UncheckedOptimising starting conditions in the GraphCast model cut 10-day forecast errors over the Pacific Northwest by over 90% for the June 2021 heatwave.“We apply this approach to forecasts of the June 2021 Pacific Northwest heatwave using the GraphCast model, yielding over 90% reduction in 10-day forecast errors over the Pacific Northwest.”
- Unchecked“Similar improvements are found for Pangu-Weather model forecasts initialized with the GraphCast-derived optimal, suggesting that model error is not an important part of the initial perturbations.”
- UncheckedLengthening the optimisation window, the authors find the heatwave forecast can be improved out to about 23 days, at the upper end of recent predictability estimates.“Extending the length of the optimization window, we find forecast improvement to about 23 days, suggesting atmospheric predictability at the upper end of recent estimates.”
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