• Wind Speed and Directions are always comes as wrong: please compare with real-time observations; Windy just plots on maps model forecasts provided by weather centers, it doesn't compute any forecast. Moreover, model forecasts computed on grids with 25 km / pixel resolution cannot be too precise over mountain/valley areas, where wind forecast values are particularly hard to predict.
• How we can understand 3 to 4 hrs ago that a specific cloud will come to a specific place?: just watch the forecast for next 3-4 hours (use the time bar).
• What is meant by >240 in this map: which data layer did you selected on that screenshot?
• No one replying: please, next time you post a question on such a community site, wait a bit more than 6 minutes for an answer...

@bobluck said in Option to set default view.:

Can’t I just set a preferred view and have it saved?

Yep, I think such a new feature, i.e. kind of option "keep currently enabled data overlays on next user sessions" (and why not current map coverage, too?), would be welcome for many use cases. At least for users who often use same data layers and/or map coverage...

WMO observing network contains both ships (voluntary observing ships or part of GTS network) and buoy stations.
Some met offices even use drones, turtles, whales, etc. as support for ocean weather sensors...
Buoys are generally static, ships are generally moving; both of them should have a series of standard weather sensors defined by WMO and provide messages of type SHIP or BUOY (which are extensions to the more generic SYNOP mesages). Ogimet web site (for example) provides part of them here (screenshot below).
WMO/GTS naming rules of all ocean observing stations are defined here.

Even more useful would be to get isolines rendering option to all pertinent data layers (not only pressure), and also to be also able to configure isolines interval value (like for color shading palettes), for each parameter.

This discussion (as well as many other community discussions, e.g. this one), makes me thinking that adding a collection of 3rd party, pertinent URLs to Windy UI would be really helpful to many users (and to Windy, too).

Of course such a 3rd party web sites are not intended to replace, nor to compete with Windy.com.
A good sample is the link provided in comment just above, which is for a web site specialized in dust forecast, provided by a research laboratory.
Windy.com has not the required resources to (and should not) compete with big research laboratories (e.g. official WMO product providers), but could advantageously provide such a pertinent list to its users; I guess everybody would win...

Such a pertinent URLs list may be pretty long, thus items may be grouped by category (e.g. "Weather Alerts", "LRF Models", "NWP Models Data Providers", "Local Forecasts Europe/NA/Asia/country/Etc)", "Satellite Imagery", etc.).
Its appearance may be also as discrete as needed (e.g. placed in the main Menu, just after Windy Plugins), in order to not change current look and feel of Windy UI.
Of course each URL link could and should have a full description (e.g. as OnMouseOver tooltip).

Btw., such a link to OSM Community web site could save a lot of time to both users and administrators and avoid all these long and boring posts about missing roads or wrong country names on Windy maps...

Moreover, as Windy has many occasional or permanent users and part of them are meteorologists, forecasters, pilots, I guess many of them would be happy to propose and share pertinent URLs which would be really helpful to users with less knowledge in these domains.
Btw., the community discussions already contain a pretty big collection of links to pertinent 3rd party web sites...

Windy only displays real time observations and values computed in weather forecast models, while fronts are not present in the latest.

Fronts are only drawn by expert forecasters in very specific weather forecast messages (e.g. SIGWX), based on the human analysys of different data sources: deterministic and ensemble weather models, real time observations (SYNOP/TEMP/etc.), satellite remote sensing and even climatological data and local knowledge. Such a message is only provided by specialized regional or national weather centers and cannot be computed by algorythms with enough accuracy.

Enter the keyword fronts in the Search control to get more info from community discussions related to this topic.

See also this article, which says: Frontal analysis in modern forecasting is still a critical part of a forecaster’s toolkit, and not just because fronts are often associated with precipitation. Fronts can strongly impact local weather conditions via wind changes, convective forcing, turbulence and more. While many computer-based weather visualization packages can identify frontal zones on the large scale, they usually lack nuance in positioning of the front on the regional and local scales, which poses issues for short-range forecasting of all kinds, especially aviation. Additionally, a thorough examination of surface observations to create a hand-analysis of surface pressure systems and fronts, even if not truly completed “by hand” and instead in a 3D mental model space, allows the forecaster to become intimately familiar with the current weather in a way that examining a computer frontal analysis cannot. Situational awareness is gained, as well as conceptual awareness of synoptic processes, mesoscale processes, storm-scale processes and topographic influences that are interacting to create the “wiggles” one sometimes sees in a front’s position. These wiggles, or surges, can be caused by outflow from an MCS merging with the larger synoptic scale cold front, are sometimes powered by a secondary push of cold air that has mixed down from upper levels, and for other reasons. Although it takes more time up front in the forecast process, the knowledge gained from this analysis process often makes the rest of the forecast process go much faster - many extraneous pressure level charts of basic state variables can be skipped and the forecaster can go directly to regional and local scale variables of interest to address the forecast problems of day.

Only automatic weather stations refresh at such a frequency.
You can also use observations for closest METAR weather stations (every 30m).
For clouds you can use images from METEOSAT satellite, refreshed every 15m. Radar data is also available in your area, but it doesn't provide clouds or wind observations.
Forecast models available on Windy only have validities for every hour (in best cases).

As said above, this thread could help (as a workaround, not as a solution).

Webapp, windy.com to be loaded via any recent web browser and Internet access.

See this related post

Just a thought: maybe Windy.com would win by proposing kinda preview of Premium power... With registered users, it could work, technically speaking (e.g. a couple of days of Premium features for each registered user). This should put an end to all these claims (which are legitimate or not)...

Remark about max zoom in 3D mode:

• one cannot get bigger map scale than zoom 6 (screenshot), which is not enough; user has to enable 2D to zoom more, then again 3D to zoom less... which is boring
• if Windy 3D technology would allow it (and I think it does), big map scales should not be limited by 3D
• other 3D web maps don't have such a limit (e.g. GogolMaps), or well allow zooming to much bigger map scales (e.g. MeteoEarth, NullSchool, DarkSky)

There is also this NOAA online calculator with corresponding formula.

If it is about windy.com web site: retrieving always same map coverage, zoom level and even weather data layers, may be done by using API URL as a favorite in your web browser; see details here

That particular webcam seems to be out of service since a while.
For active webcams, using link "provider's website" generally allows more time steps (e.g. this one)

Windy.com doesn't provide historical/climatological data; some other sites do, but generally detailed historical weather reports are not free:

• Wundergound provides some climatological mean values for nearest WMO station to a city; I guess they picked data from NOAA/CDO. E.g. here for Umluj
• MeteoBlue provides such a paid product for wind
• NOAA/CDO provides climatological reports for worldwide WMO stations
• generally, each national Met Office should provide climatological data in the past (cannot get https://www.pme.gov.sa/, which seems to be out of service right now)