An introduction to weather forecasting with deep learning

R-bloggers 2020-09-01

[This article was first published on RStudio AI Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Same with weekly climatology: Looking back at how warm it was, at a given location, that same week two years ago, does not in general sound like a bad strategy.

Second, the DL baseline shown is as basic as it can get, architecture- as well as parameter-wise. More sophisticated and powerful architectures have been developed that not just by far surpass the baselines, but can even compete with physical models (cf. especially Rasp and Thuerey [@rasp2020purely] already mentioned above). Unfortunately, models like that need to be trained on a lot of data.

However, other weather-related applications (other than medium-range forecasting, that is) may be more in reach for individuals interested in the topic. For those, we hope we have given a useful introduction. Thanks for reading!

// add bootstrap table styles to pandoc tables function bootstrapStylePandocTables() { $('tr.header').parent('thead').parent('table').addClass('table table-condensed'); } $(document).ready(function () { bootstrapStylePandocTables(); });

$(document).ready(function () { window.buildTabsets("TOC"); }); $(document).ready(function () { $('.tabset-dropdown > .nav-tabs > li').click(function () { $(this).parent().toggleClass('nav-tabs-open') }); });

(function () { var script = document.createElement("script"); script.type = "text/javascript"; script.src = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"; document.getElementsByTagName("head")[0].appendChild(script); })();

var vglnk = {key: '949efb41171ac6ec1bf7f206d57e90b8'}; (function(d, t) { var s = d.createElement(t); s.type = 'text/javascript'; s.async = true; // s.defer = true; // s.src = '//cdn.viglink.com/api/vglnk.js'; s.src = 'https://www.r-bloggers.com/wp-content/uploads/2020/08/vglnk.js'; var r = d.getElementsByTagName(t)[0]; r.parentNode.insertBefore(s, r); }(document, 'script'));

To leave a comment for the author, please follow the link and comment on their blog: RStudio AI Blog.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

The post An introduction to weather forecasting with deep learning first appeared on R-bloggers.