Experiments with Weather Data
I had been wanting to try experimenting with nowcasting since the death of Dark Sky and finally got around to it. This application essentially became a playground for me to experiment with various weather datasets and geospatial visualizations. Some interesting concepts that came from it: The nowcast is using pySTEPS optical flow under the hood: https://pysteps.readthedocs.io/en/latest/auto_examples/plot_.... This library is super cool. It bugged me that every radar visualization just gave you choppy snapshots in time, so I spent some time working on building a…
What it does
In the maker’s words, at launch
I had been wanting to try experimenting with nowcasting since the death of Dark Sky and finally got around to it. This application essentially became a playground for me to experiment with various weather datasets and geospatial visualizations. Some interesting concepts that came from it: The nowcast is using pySTEPS optical flow under the hood: https://pysteps.readthedocs.io/en/latest/auto_examples/plot_.... This library is super cool. It bugged me that every radar visualization just gave you choppy snapshots in time, so I spent some time working on building a smooth interpolation. The backend passes keyframes along with motion data from the optical flow analysis and then has a custom WebGL shader to do the interpolation which lets you scrub the timeline and have a smooth interpolation. The other forecast tiles and the main weather page are using the average of many different weather models. You can see every model that factors in on the models page: https://strataweather.com/models. This gives some indication of the divergence between models on the main page. Eventually I plan to score each model run and ensemble based on past performance (so you could say have a custom ensemble weight based on which models perform the best in your area). Haven't quite gotten around to that yet. The risk pages are using the last 14 years of weather data to identify natural hazard risks as a true probability of occurrence. So it formally defines what we mean by a specific natural hazard and identifies the probability of occurrence based on past data at each location. Some of the definitions need some tweaking but it's a neat visualization. Feel free to play around with it! It's running on a Hetzner box that I'm hoping will survive more users but we shall see!
Does the same job
all alternatives →
- ANA new, clean, and concise look at weather from My-Cast2011 · ▲5
We just released a new weather website using all sorts of awesome web technologies. We use ModestMaps to show tiled, animated radar and satellite data, Raphael.js to show historical averages and record high/lows, and MapQuest's new Nominatim service sitting on top of OpenStreetMap to do location lookups. We're really proud of this site and would love to hear your feedback and to have try it out: http://preview.my-cast.com/
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I miss Dark Sky, so I built my own weather app. Here's how GrayCloud works: * Raincast: minute-by-minute rain prediction and accumulation tracking for your exact location * Forecasts: 10 day forecasts use multiple high resolution sources and correct for bias at your location. * Alerts: rain starting, stopping, severe weather, daily summary and more * Widgets: home and lock screen widgets * Multi-platform: apple watch and mac apps I use NOAA and ECMWF models for core weather data and a custom model to compute rain accumulation and the next 60 minute radar movements. I also offer Apple…
linecast – weather, radar, tides and maps in the terminal14d ago · terminaltrove.com · ▲9I've been working on linecast, a free and open source collection of six terminal applications: weather, radar, sunshine, moon, tides, and maps. It's as if the Old Farmer's Almanac was built for Minitel. I made it because I'd been using the terminal a lot more over the past couple of years, I'm opinionated about weather forecast IA and design, and I liked the idea of making useful little terminal desk ornaments. The applications use ANSI color and Unicode braille characters rather than graphics. They reflow as the terminal is resized and derive their colors from your current terminal palette,…
- PTProbably the most comprehensive weather API currently available2020 · ▲22
This was posted before but I'm quite pleased to share a major update for https://oikolab.com. We now have available seven decades of hourly weather data starting from 1950 for any location in the world, thanks to the recent publication of ERA5 reanalysis data from European Centre for Medium-Range Weather Forecasts (ECMWF). ERA5 is gap-free, gridded dataset generated using data assimilation method (https://en.wikipedia.org/wiki/Data_assimilation), similar to NWP models but with the benefit of hindsight. As far as we're aware of, we're the first weather data…
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