Advances in weather prediction [PDF]
Science, 2019 Better weather and environmental forecasting will continue to improve well ...
Kerry Emanuel +2 more
openaire +5 more sources
Can deep learning beat numerical weather prediction? [PDF]
Philos Trans A Math Phys Eng Sci, 2021 The recent hype about artificial intelligence has sparked renewed interest in applying the successful deep learning (DL) methods for image recognition, speech recognition, robotics, strategic games and other application areas to the field of meteorology.
Schultz MG +7 more
europepmc +2 more sources
Sub‐Seasonal Forecasting With a Large Ensemble of Deep‐Learning Weather Prediction Models [PDF]
Journal of Advances in Modeling Earth Systems, 2021 We present an ensemble prediction system using a Deep Learning Weather Prediction (DLWP) model that recursively predicts six key atmospheric variables with six‐hour time resolution. This computationally efficient model uses convolutional neural networks (
Jonathan A. Weyn +3 more
semanticscholar +1 more source
Mean radiant temperature from global-scale numerical weather prediction models. [PDF]
Int J Biometeorol, 2020 In human biometeorology, the estimation of mean radiant temperature (MRT) is generally considered challenging. This work presents a general framework to compute the MRT at the global scale for a human subject placed in an outdoor environment and ...
Di Napoli C, Hogan RJ, Pappenberger F.
europepmc +2 more sources
Can Artificial Intelligence‐Based Weather Prediction Models Simulate the Butterfly Effect?
Geophysical Research Letters, 2023 We investigate error growth from small‐amplitude initial condition perturbations, simulated with a recent artificial intelligence‐based weather prediction model.
T. Selz, G. C. Craig
semanticscholar +1 more source
Improving Data‐Driven Global Weather Prediction Using Deep Convolutional Neural Networks on a Cubed Sphere [PDF]
Journal of Advances in Modeling Earth Systems, 2020 We present a significantly improved data‐driven global weather forecasting framework using a deep convolutional neural network (CNN) to forecast several basic atmospheric variables on a global grid.
Jonathan A. Weyn, D. Durran, R. Caruana
semanticscholar +1 more source
Machine Learning in Weather Prediction and Climate Analyses—Applications and Perspectives
Atmosphere, 2022 In this paper, we performed an analysis of the 500 most relevant scientific articles published since 2018, concerning machine learning methods in the field of climate and numerical weather prediction using the Google Scholar search engine.
B. Bochenek, Z. Ustrnul
semanticscholar +1 more source
Accelerating Weather Prediction Using Near-Memory Reconfigurable Fabric [PDF]
ACM Transactions on Reconfigurable Technology and Systems, 2021 Ongoing climate change calls for fast and accurate weather and climate modeling. However, when solving large-scale weather prediction simulations, state-of-the-art CPU and GPU implementations suffer from limited performance and high energy consumption ...
Gagandeep Singh +6 more
semanticscholar +1 more source
Deep Learning for Improving Numerical Weather Prediction of Heavy Rainfall
Journal of Advances in Modeling Earth Systems, 2022 The accurate prediction of rainfall, and in particular of the heaviest rainfall events, remains challenging for numerical weather prediction (NWP) models.
P. Hess, N. Boers
semanticscholar +1 more source
NERO: A Near High-Bandwidth Memory Stencil Accelerator for Weather Prediction Modeling [PDF]
International Conference on Field-Programmable Logic and Applications, 2020 Ongoing climate change calls for fast and accurate weather and climate modeling. However, when solving large-scale weather prediction simulations, state-of-the-art CPU and GPU implementations suffer from limited performance and high energy consumption ...
Gagandeep Singh +6 more
semanticscholar +1 more source