Windy.com: global weather website with live filters
windy.com
windy.com
Windy.com: See the wind, temperature, rain and air quality around you - https://news.ycombinator.com/item?id=29882941 - Jan 2022 (35 comments)
Windy.com - https://news.ycombinator.com/item?id=28486389 - Sept 2021 (212 comments)
Windy.com - https://news.ycombinator.com/item?id=27843578 - July 2021 (1 comment)
Windy.com – lots of meteorological data presented well - https://news.ycombinator.com/item?id=21873630 - Dec 2019 (5 comments)
About Windy (2018) - https://news.ycombinator.com/item?id=21701065 - Dec 2019 (34 comments)
Typhoon Lands in Japan – Windy Storm-Tracking Platform - https://news.ycombinator.com/item?id=21232332 - Oct 2019 (44 comments)
Windy.com - https://news.ycombinator.com/item?id=15094639 - Aug 2017 (103 comments)
"Precipitable water values are expected to peak on Sunday night at around 2.50 inches, which would be 5 standard deviations from the mean for this time of year."
E.g. https://www.nhc.noaa.gov/text/refresh/MIATCDEP4+shtml/191444...
Another niche weather tool, Dark Sky, has always been a staple for me due to its hyperlocal rain predictions.
Small anecdote: there's a unique satisfaction in creating something of your own. A few years back, I started a home hobby weather project using an Arduino to collect microclimate data right from my backyard. It quickly became an expansive endeavor. I integrated it with a backend running on Kubernetes, had a React Native interface for mobile updates, and to maximize performance, parts of data processing were done using Rust and OCaml. I was exploring the trade-offs of the CAP theorem in real-time. You'd be surprised at how often "weather inconsistencies" were just my nodes not agreeing on state. It was less about weather forecasting accuracy and more about the adventure in distributed systems.
It ended up getting pretty expensive so scrapped it but I learned a lot from that project and remember it fondly
I'm using it to monitor Hurricane Hillary that is currently on its way to Los Angeles: https://www.windy.com/?19.808,-114.170,5
They also have a hurricane tracker that overlays the forecast cone: https://www.windy.com/-Hurricane-tracker/hurricanes/hilary?s...
Surfline [1] do an excellent (paid) regional analysis, and the best aspect is the long range outlook where they will incorporate any levels of uncertainty or conflict between the various weather models into their analysis. To the lay person there may be "the forecast", but interpreting the different models and incorporating local anomalies is very valuable.
Also excellent is the UK Met office 10 day trend[2], to get an idea of the uncertainty and macro patterns at play.
[1] https://www.surfline.com/surf-forecasts/north-cornwall/58581... [2] https://www.youtube.com/watch?v=rLccinRLccA&list=PLGVVqeJodR...
Example: https://forecast.weather.gov/product.php?site=OKX&issuedby=O...
You have always been able to roll your own code as well. There are Python libraries to produce verbose readouts of FAA METAR reports, for example.
1) underwater visibility around land masses is dependant on precipitation and swell conditions over the previous few days - i.e. the water will be murky if it's been pissing down and blowing a gale for the last 2 days. This is not so much a factor around offshore islands in deep water with strong currents.
2) In hilly areas, it's best to go out when there is an offshore wind, as the land mass shields the water from the wind, making the surface smoother.
3) people have preferences as to the direction and tide (incoming/outgoing/time after low/high tide).
4) It's great when the sun is out, and if you are spearfishing then you want the sun at your back so the fish can't see you.
In short there are a a lot of factors that, in some magical snorkeling forecast system, could all be rolled up into a score out of 10 for a specific geographical spot at a specific time.
And yes, Windy has dew point as a layer!
PS. Relevant username ;) Windsurfing, traditional sailing, both?
Kudos if there's any NOAA software engineers lurking.
with regards of quality of forecast I don't know: don't really know if they just aggregate other's data or make some kind of forecast themselves.
I like this app for being forward about the weather models that it uses and letting you choose between them. Most regular places that show weather present the work as "their" forecast, but they're typically repackaging weather model information. No pretense here.
I added a web-cam to my community site wetrockpolice [1] to help climbers identify when conditions get wet out in Red Rock Canyon, was free and easy to do!
It's an underused treasure, however simplistic the UI may be.
See: https://www.nhc.noaa.gov/refresh/graphics_ep4+shtml/204534.s...
You can find individual static maps (sadly very low resolution) here as well for Hurricane Hilary: https://www.nhc.noaa.gov/graphics_ep4.shtml?start#contents
[1] https://m.facebook.com/windyforecast/videos/windy-donations/...
I still have their previous android app version, the ungelded one. It's promising unspecified delights if I'd only just upgrade.
When Microsoft aimed for Bing to be better than Google, they've actually flew to CZ and asked the seznam.cz CEO to sell his company to them, he said no :D
https://twitter.com/ilblog/status/1489657900687626240?lang=c...
*https://apps.apple.com/us/app/myradar-weather-radar/id322439...
This is also very cool (awesome URL!), and I'll be mentioning it in my next blog post.
Here's hoping that the wind shear continues to stay strong enough to protect people from any bad hurricanes. Although I don't know what will happen if that ocean energy isn't "bled off" by a few big storms?
I may be biased being Norwegian myself, but it's my favorite weather app. No spam or ads or anything either.
It is a small tweak but has really made me realize how this year is so significantly above historical averages.
Where I live in BC, Canada we have been 8-10 degrees Celsius over the average for much of the summer, which has made me wonder how native vegetation is doing considering it likely hasn’t experienced this weather and is less adaptable than humans and other animals.
That, for example, the same apparatus was used, the same processing algos, the same measuring locations, etc.
the list is scrollable
It's interesting how they still need to do some fudging around the poles. Non-Euclidean geometry is hard, I guess. I wonder if that means the models are all done with Euclidean geometry or is it just a display thing?
Most often, final global models are output on to an orthogonal (plate-caree) lat/lon grid. Data at the poles (singularity) is always a bit fidly
US readers might want to look for the HRRRv4 model on the NOAA site which will be the most precise model for you.
It has a layer selector with temperature, wind, pressure and precipitation.
[0] https://community.windy.com/topic/6605/real-time-lightning-s...
And then there is the fact that weather radar captures a lot of phenomena that are not "weather".
Reliable at-ground-level rain measurement has to come from other sources, like automotive sensors, ground weather stations, RF propagation measurements in mobile networks, etc. The downside is that these often have much less coverage than the radar.
For my microclimate, I’ve found that Meteoblue is the only forecast that doesn’t forecast the high temperature 10 degrees too low when there is a heat wave.
That being said, you shouldn't treat these outputs as gospel. All these models will get the big picture correct, but they have limitations with respect to spatial resolution. So if you click on the Windy map and look at your local forecast, take it with a grain of salt - the model doesn't resolve down to the scale of your backyard. The status quo is for companies or agencies to use statistics or ML to "correct" the forecast against local observations, which dramatically improves the accuracy of forecasts like, "What will tomorrow's max temperature be" or, "what is the probability it will rain this evening?"
EDIT: https://i.imgur.com/WBiptdo.png for example on OSM, vs https://i.imgur.com/EsZCsA8.png on Windy
[1] https://en.mapy.cz [2] https://en.wikipedia.org/wiki/Ivo_Luka%C4%8Dovi%C4%8D
https://www.windy.com/-Rain-thunder-rain?rain,34.427,-119.70...