Fetching the paper…
Reading the bibliography…
Heat waves are projected to increase in frequency and severity with global warming.
Kullback, S., and R. A. Leibler, 1951: On information and sufficiency. The Annals of Mathematical Statistics
1951
Earlier work this paper cites.
Sánchez-Benítez, A., R. García-Herrera, D. Barriopedro, P. M. Sousa, and R. M. Trigo, 2018: June 2017: The earliest European summer mega-heatwave of reanalysis period. Geophysical Research Letters
1962
Earlier work this paper cites.
Lorenz, E. N., 1969a: Atmospheric predictability as revealed by naturally occurring analogues. Journal of Atmospheric Sciences
1969
Earlier work this paper cites.
Lorenz, E. N., 1969b: The predictability of a flow which possesses many scales of motion. Tellus
1969
Earlier work this paper cites.
Palmer, T. N., 1993: Extended-range atmospheric prediction and the Lorenz model. Bulletin of the American Meteorological Society
1993
Earlier work this paper cites.
Hall, P., J. L. Horowitz, and B.-Y. Jing, 1995: On blocking rules for the bootstrap with dependent data. Biometrika
1995
Earlier work this paper cites.
Molteni, F., R. Buizza, T. N. Palmer, and T. Petroliagis, 1996: The ECMWF ensemble prediction system: Methodology and validation. Quarterly Journal of the Royal Meteorological Society
1996
Earlier work this paper cites.
Ronchi, C., R. Iacono, and P. S. Paolucci, 1996: The “cubed sphere”: A new method for the solution of partial differential equations in spherical geometry. Journal of Computational Physics
1996
Earlier work this paper cites.
Buizza, R., M. Milleer, and T. N. Palmer, 1999: Stochastic representation of model uncertainties in the ECMWF ensemble prediction system. Quarterly Journal of the Royal Meteorological Society
1999
Earlier work this paper cites.
Richardson, D. S., 2000: Skill and relative economic value of the ECMWF ensemble prediction system. Quarterly Journal of the Royal Meteorological Society
2000
Earlier work this paper cites.
Mass, C. F., D. Ovens, K. Westrick, and B. A. Colle, 2002: Does increasing horizontal resolution produce more skillful forecasts?: The results of two years of real-time numerical weather prediction over the pacific northwest. Bulletin of the American Meteorological Society
2002
Earlier work this paper cites.
Wu, W., M. A. Geller, and R. E. Dickinson, 2002: The response of soil moisture to long-term variability of precipitation. Journal of Hydrometeorology
2002
Earlier work this paper cites.
Zhu, Y., Z. Toth, R. Wobus, D. Richardson, and K. Mylne, 2002: The economic value of ensemble-based weather forecasts. Bulletin of the American Meteorological Society
2002
Earlier work this paper cites.
Accadia, C., S. Mariani, M. Casaioli, A. Lavagnini, and A. Speranza, 2003: Sensitivity of precipitation forecast skill scores to bilinear interpolation and a simple nearest-neighbor average method on high-resolution verification grids. Weather and Forecasting
2003
Earlier work this paper cites.
Ogi, M., Y. Tachibana, and K. Yamazaki, 2003: Impact of the wintertime north Atlantic oscillation (NAO) on the summertime atmospheric circulation. Geophysical Research Letters
2003
Earlier work this paper cites.
Sønderby, C. K., and Coauthors, 2020: MetNet: A neural weather model for precipitation forecasting. arXiv, 10.48550/ARXIV.2003.12140
2003
Earlier work this paper cites.
Huang, H., and Coauthors, 2020: UNet 3+: A Full-Scale connected UNet for medical image segmentation. 10.48550/arXiv.2004.08790 , 2004.08790
2004
Earlier work this paper cites.
Robine, J.-M., S. L. K. Cheung, S. Le Roy, H. Van Oyen, C. Griffiths, J.-P. Michel, and F. R. Herrmann, 2008: Death toll exceeded 70,000 in Europe during the summer of 2003. Comptes Rendus Biologies
2007
Earlier work this paper cites.
Vautard, R., and Coauthors, 2007: Summertime European heat and drought waves induced by wintertime Mediterranean rainfall deficit. Geophysical Research Letters
2007
Earlier work this paper cites.
Wright, C. K., K. M. de Beurs, and G. M. Henebry, 2014: Land surface anomalies preceding the 2010 Russian heat wave and a link to the north Atlantic oscillation. Environmental Research Letters
2010
Earlier work this paper cites.
Ferro, C. A. T., and D. B. Stephenson, 2011: Extremal dependence indices: Improved verification measures for deterministic forecasts of rare binary events. Weather and Forecasting
2011
Earlier work this paper cites.
Joyce, J. M., 2011: Kullback-Leibler Divergence
2011
Earlier work this paper cites.
Slingo, J., and T. Palmer, 2011: Uncertainty in weather and climate prediction. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
2011
Earlier work this paper cites.
Wang, G., A. J. Dolman, and A. Alessandri, 2011: A summer climate regime over Europe modulated by the north Atlantic oscillation. Hydrology and Earth System Sciences
2011
Earlier work this paper cites.
Orth, R., and S. I. Seneviratne, 2012: Analysis of soil moisture memory from observations in Europe. Journal of Geophysical Research: Atmospheres
2012
Earlier work this paper cites.
Kingma, D. P., and M. Welling, 2013: Auto-encoding variational Bayes. 10.48550/arxiv.1312.6114
2013
Earlier work this paper cites.
Teng, H., G. Branstator, H. Wang, G. A. Meehl, and W. M. Washington, 2013: Probability of US heat waves affected by a subseasonal planetary wave pattern. Nat. Geosci
2013
Earlier work this paper cites.
Yosinski, J., J. Clune, Y. Bengio, and H. Lipson, 2014: How transferable are features in deep neural networks? Advances in Neural Information Processing Systems
2014
Earlier work this paper cites.
He, K., X. Zhang, S. Ren, and J. Sun, 2015: Delving deep into rectifiers: Surpassing human-level performance on ImageNet classification. 10.48550/arXiv.1502.01852
2015
Cited alongside, same era.
Jacques-Coper, M., S. Brönnimann, O. Martius, C. S. Vera, and S. B. Cerne, 2015: Evidence for a modulation of the intraseasonal summer temperature in eastern patagonia by the Madden-Julian oscillation. Journal of Geophysical Research: Atmospheres
2015
Cited alongside, same era.
Rezende, D., and S. Mohamed, 2015: Variational inference with normalizing flows. Proceedings of the 32nd International Conference on Machine Learning
2015
Cited alongside, same era.
Ronneberger, O., P. Fischer, and T. Brox, 2015: U-Net: Convolutional networks for biomedical image segmentation. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015
2015
Cited alongside, same era.
Chattopadhyay, A., E. Nabizadeh, and P. Hassanzadeh, 2020: Analog forecasting of extreme-causing weather patterns using deep learning. Journal of Advances in Modeling Earth Systems
2020
Later among the works it cites.
ECMWF, 2020: IFS Documentation CY47R1 - Part V: Ensemble Prediction System
2020
Later among the works it cites.
Inubushi, M., and S. Goto, 2020: Transfer learning for nonlinear dynamics and its application to fluid turbulence. Physical Review E
2020
Later among the works it cites.
Lopez-Gomez, I., Y. Cohen, J. He, A. Jaruga, and T. Schneider, 2020: A generalized mixing length closure for eddy-diffusivity mass-flux schemes of turbulence and convection. Journal of Advances in Modeling Earth Systems
2020
Later among the works it cites.
Perkins-Kirkpatrick, S. E., and S. C. Lewis, 2020: Increasing trends in regional heatwaves. Nature Communications
2020
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Ullrich, P. A., and M. A. Taylor, 2015: Arbitrary-order conservative and consistent remapping and a theory of linear maps: Part I. Monthly Weather Review
2015
Cited alongside, same era.
ECMWF, 2016: IFS Documentation CY43R1 - Part V: Ensemble Prediction System
2016
Cited alongside, same era.
Ke, X., D. Wu, J. Rice, M. Kintner-Meyer, and N. Lu, 2016: Quantifying impacts of heat waves on power grid operation. Applied Energy
2016
Cited alongside, same era.
Malardel, S., N. Wedi, W. Deconinck, M. Diamantakis, C. Kuehnlein, G. Mozdzynski, M. Hamrud, and P. Smolarkiewicz, 2016: A new grid for the IFS. ECMWF Newsletter
2016
Cited alongside, same era.
Ullrich, P. A., D. Devendran, and H. Johansen, 2016: Arbitrary-order conservative and consistent remapping and a theory of linear maps: Part II. Monthly Weather Review
2016
Cited alongside, same era.
Xu, Z., G. FitzGerald, Y. Guo, B. Jalaludin, and S. Tong, 2016: Impact of heatwave on mortality under different heatwave definitions: A systematic review and meta-analysis. Environment International
2016
Cited alongside, same era.
Yu, F., and V. Koltun, 2016: Multi-scale context aggregation by dilated convolutions. 4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico, May 2-4, 2016, Conference Track Proceedings
2016
Cited alongside, same era.
Kingma, D. P., and J. Ba, 2017: Adam: A method for stochastic optimization. 10.48550/arXiv.1412.6980 , 1412.6980
2017
Cited alongside, same era.
Later among the works it cites.
Pesciullesi, G., P. Schwaller, T. Laino, and J.-L. Reymond, 2020: Transfer learning enables the molecular transformer to predict regio- and stereoselective reactions on carbohydrates. Nature Communications
2020
Later among the works it cites.
Qi, D., and A. J. Majda, 2020: Using machine learning to predict extreme events in complex systems. Proceedings of the National Academy of Sciences
2020
Later among the works it cites.
Rasp, S., P. D. Dueben, S. Scher, J. A. Weyn, S. Mouatadid, and N. Thuerey, 2020: WeatherBench: A benchmark data set for data-driven weather forecasting. Journal of Advances in Modeling Earth Systems
2020
Later among the works it cites.
Ruffault, J., and Coauthors, 2020: Increased likelihood of heat-induced large wildfires in the Mediterranean Basin. Scientific Reports
2020
Later among the works it cites.
Weyn, J. A., D. R. Durran, and R. Caruana, 2020: Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere. Journal of Advances in Modeling Earth Systems
2020
Later among the works it cites.
Benson, D. O., and P. A. Dirmeyer, 2021: Characterizing the relationship between temperature and soil moisture extremes and their role in the exacerbation of heat waves over the contiguous united states. J. Clim
2021
Later among the works it cites.
Brás, T. A., J. Seixas, N. Carvalhais, and J. Jägermeyr, 2021: Severity of drought and heatwave crop losses tripled over the last five decades in europe. Environmental Research Letters
2021
Later among the works it cites.
Guillaumin, A. P., and L. Zanna, 2021: Stochastic-deep learning parameterization of ocean momentum forcing. Journal of Advances in Modeling Earth Systems
2021
Later among the works it cites.
Lin, H., R. Mo, and F. Vitart, 2022: The 2021 western North American heatwave and its subseasonal predictions. Geophysical Research Letters
2021
Later among the works it cites.
Miller, D. E., Z. Wang, B. Li, D. S. Harnos, and T. Ford, 2021: Skillful subseasonal prediction of U.S. extreme warm days and standardized precipitation index in boreal summer. J. Clim
2021
Later among the works it cites.
Mo, R., H. Lin, and F. Vitart, 2022: An anomalous warm-season trans-Pacific atmospheric river linked to the 2021 western North America heatwave. Communications Earth & Environment
2021
Later among the works it cites.
Ravuri, S., and Coauthors, 2021: Skilful precipitation nowcasting using deep generative models of radar. Nature
2021
Later among the works it cites.
Scher, S., and G. Messori, 2021: Ensemble methods for neural network-based weather forecasts. Journal of Advances in Modeling Earth Systems
2021
Later among the works it cites.
Sundararajan, M., and S. Agrawal, 2021: The rain check. 4th Workshop on Visualization for AI Explainability
2021
Later among the works it cites.
Weyn, J. A., D. R. Durran, R. Caruana, and N. Cresswell-Clay, 2021: Sub-seasonal forecasting with a large ensemble of deep-learning weather prediction models. Journal of Advances in Modeling Earth Systems
2021
Later among the works it cites.
White, R. H., K. Kornhuber, O. Martius, and V. Wirth, 2021: From atmospheric waves to heatwaves: A waveguide perspective for understanding and predicting concurrent, persistent and extreme extratropical weather. Bulletin of the American Meteorological Society
2021
Later among the works it cites.
Espeholt, L., and Coauthors, 2022: Deep learning for twelve hour precipitation forecasts. Nature Communications
2022
Closest in time.
Jacques-Dumas, V., F. Ragone, P. Borgnat, P. Abry, and F. Bouchet, 2022: Deep learning-based extreme heatwave forecast. Frontiers in Climate
2022
Closest in time.
Keisler, R., 2022: Forecasting global weather with graph neural networks. 10.48550/arxiv.2202.07575
2022
Closest in time.
Lopez-Gomez, I., C. Christopoulos, H. L. L. Ervik, O. R. A. Dunbar, Y. Cohen, and T. Schneider, 2022: Training physics-based machine-learning parameterizations with gradient-free ensemble kalman methods. Journal of Advances in Modeling Earth Systems
2022
Closest in time.
Miloshevich, G., B. Cozian, P. Abry, P. Borgnat, and F. Bouchet, 2022: Probabilistic forecasts of extreme heatwaves using convolutional neural networks in a regime of lack of data. 10.48550/arxiv.2208.00971
2022
Closest in time.
Pathak, J., and Coauthors, 2022: FourCastNet: A global data-driven high-resolution weather model using adaptive fourier neural operators. 10.48550/arxiv.2202.11214
2022
Closest in time.
Hersbach, H., and Coauthors, 2020: The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society
2049
Closest in time.