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andlukyane.com | ||
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thatsmaths.com
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| | | | | 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... | |
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research.google
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| | | | | Posted by Samier Merchant, Google Research, and Nal Kalchbrenner, Google DeepMind Forecasting weather variables such as precipitation, temperature,... | |
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niklasriewald.com
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| | | | | 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... | |
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easystats.github.io
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| | | You probably already have heard of the parameters package, a light-weight package to extract, compute and explore the parameters of statistical models using R (if not, there is a related publication introducing the package's main features). In this post, we like to introduce a new feature that facilitates nicely rendered output in markdown or HTML format (including PDFs). This allows you to easily create pretty tables of model summaries, for a large variety of models. | ||
