• 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...

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...

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.

@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...

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.

Both bearing and distance implies two points/positions; pointing to a map location is only one point, which displays its coordinates.
Distance is available on "Distance and Planning" feature.
Or well did I missed something?

This is not a bug and couldn't be fixed; it is the result of merging products from different satellites in order to get a worldwide mosaic.
The "long line" is just the border between different coverage areas of sensors installed on different geostationary satellites.
See more details in this related topic.

You could try Main Menu / Settings / Smooth Satellite Animation (On/Off), as explained in the original post.

Providing Long Range Forecast (LRF) for weather should remain out of the scope of honest, public weather sites like Windy, as it would require huge scientific and computational effort.

There are many so-called "Almanacs" that boast of providing weather forecasts over months or even years: none of them are trustworthy.
A good sample for such an Almanac is here (ouch! they even use Windy widgets :o))); as one can see, it is rather kinda horoscope...

Best would be to use directly WMO's LRF centers when required; they generally provide public data with pertinent documentation.
The full list is here, a good sample (DWD) is here.

I meant "bad drivers" (even if the same would be also true about car thefts :o)))

What a weather web site has in common with car theft?
Whatever... car thieves might use Windy to their advantage to plan their moves :o)))
.

See these related threads.

Something like this?

Just click on the map on your point of interest to get lon/lat coordinates of that point.

What do you expect to get as a single "Wind" or "cloud" forecast values for a country like Russia, Germany or United States?

You would rather need forecast values on each point (or each city) within such an area; they are already available on Windy maps, just click.

There is not possible to get weather forecast for a whole country (excepting maybe for "point" countries like Vatican or San Marino :o))), as weather doesn't care about administrative areas and generally keeps coherent over small areas.

Did you tried to press conjointly keyboard keys "Ctrl" and "-" to reduce the zoom factor of the web browser window?
A priori the zoom factor on your screenshot is about 200% (instead default 100%)

Ouch, such a global resolution would be a bit better than 0.01° (1111m at 0° Lat), i.e. 100x360x100x180 = 648 M cells/grid for each parameter/level.
To be compared to current global weather forecast model GFS 0.25° (1 M cells/grid).
I guess displaying grids of such a model on public web applications should also wait for future high-speed internet cables and hardware :o)))

Should be WMO station ID 85471: