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You are here		andlukyane.com Paper Review: Deep Learning for Day Forecasts from Sparse Observations - Andrey Lukyanenko
\|	\|	deepmind.google GenCast predicts weather and the risks of extreme conditions with state-of-the-art accuracy - Google DeepMind	3.7 parsecs away Travel
\|	\|	New AI model advances the prediction of weather uncertainties and risks, delivering faster, more accurate forecasts up to 15 days ahead	3.7 parsecs away Travel
\|	\|	niklasriewald.com Paper Review: "MetNet: A Neural Weather Model for Precipitation Forecasting" \| Niklas Riewald	2.7 parsecs away Travel
\|	\|	Is it possible to replace numerical weather prediction with deep learning? Certainly not yet. But first work is being done to investigate this question. In this post I want to discuss a paper called "MetNet: A Neural Weather Model for Precipitation Forecasting" that Google Research published back in March 2020 and in which they try...	2.7 parsecs away Travel
\|	\|	thatsmaths.com DLWP: A New Age of Weather Forecasting - ThatsMaths	3.5 parsecs away Travel
\|	\|	Before the age of computers, weather forecasters analysed observations plotted on paper charts, drew isobars and other features and - based on their previous knowledge and experience - constructed charts of conditions at a future time, often one day ahead. They combined observational data and rules of thumb based on physical principles to predict what...	3.5 parsecs away Travel
\|	\|	research.google MetNet-2: Deep Learning for 12-Hour Precipitation Forecasting	7.0 parsecs away Travel
\|		Posted by Nal Kalchbrenner and Lasse Espeholt, Google Research Deep learning has successfully been applied to a wide range of important challenges,...	7.0 parsecs away Travel