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Found 7 papers, 6 papers with code
Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification
We benchmark it against the GAN-based Deep Generative Models of Rainfall (DGMR) and a statistical model, PySTEPS.
Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model
Predictions of thunderstorm-related hazards are needed in several sectors, including first responders, infrastructure management and aviation.
Seamless lightning nowcasting with recurrent-convolutional deep learning
A deep learning model is presented to nowcast the occurrence of lightning at a five-minute time resolution 60 minutes into the future.
Improvements to short-term weather prediction with recurrent-convolutional networks
The improvements consisted of a shallower model variant that is competitive against the deeper version, adoption of the AdaBelief optimizer, improved handling of one of the predicted variables where the training set was found not to represent the validation set well, and ensembling multiple models to improve the results further.
Spatiotemporal Weather Data Predictions with Shortcut Recurrent-Convolutional Networks: A Solution for the Weather4cast challenge
This paper presents the neural network model that was used by the author in the Weather4cast 2021 Challenge Stage 1, where the objective was to predict the time evolution of satellite-based weather data images.
Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields with a Generative Adversarial Network
The ability of conditional GANs to generate an ensemble of solutions for a given input lends itself naturally to stochastic downscaling, but the stochastic nature of GANs is not usually considered in super-resolution applications.
HARK Side of Deep Learning -- From Grad Student Descent to Automated Machine Learning
Recent advancements in machine learning research, i. e., deep learning, introduced methods that excel conventional algorithms as well as humans in several complex tasks, ranging from detection of objects in images and speech recognition to playing difficult strategic games.
