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1,390 claims from 864 papers are on the record. 46 have been checked so far; the other 1,344 have no check with a result yet.

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Status: Unchecked ×Keyword: heat waves ×Clear all

4 claims from 3 papers

1. Earth and Planetary Sciences › Meteorological Phenomena and Simulations

   Analog Forecasting of Extreme‐Causing Weather Patterns Using Deep Learning

   Chattopadhyay, Nabizadeh and Hassanzadeh · Journal of Advances in Modeling Earth Systems · 2020

   The authors built a deep-learning analog forecasting framework using capsule networks to predict North American cold and heat waves days ahead from large-scale circulation patterns.

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   1. UncheckedIn this study, capsule neural networks predicted North American cold and heat waves from circulation patterns better than convolutional networks and logistic regression.“CapsNets outperform simpler techniques such as convolutional neural networks and logistic regression.”
   2. UncheckedAdding surface temperature to Z500 pressure-pattern data raises capsule network accuracy to about 80% and recall to about 88% for extreme-weather prediction.“Using both temperature and Z500, accuracies (recalls) with CapsNets increase to $\sim 80\%$ $(88\%)$, showing the promises of multi-modal data-driven frameworks for accurate/fast extreme weather predictions, which can augment NWP efforts in providing early warnings.”

2. Environmental Science › Climate variability and models

   AI‐Driven Weather Forecasts to Accelerate Climate Change Attribution of Heatwaves

   Jiménez‐Esteve, Barriopedro, Johnson and García‐Herrera · Earth s Future · 2025

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   1. Unchecked“This study demonstrates that AI‐based attribution enables near real‐time and anticipatory assessment of HWs, offering a scalable and computationally efficient alternative to conventional methods.”

3. Earth and Planetary Sciences › Meteorological Phenomena and Simulations

   Data-driven forecasts of extreme weather in East Asia: feasibility of operational use

   Oh, Bae, Son et al. · Weather and Climate Extremes · 2026

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   1. Unchecked“Overall forecast skills increase when MLWP models are initialized with ERA5 reanalysis, highlighting the importance of initial conditions even in MLWP.”