Meeeeeeeee! Meeeeeeeee! Meeeeeeeee!
FYI, NCEP/NOAA outages are generally announced here in real time: https://www.nco.ncep.noaa.gov/status/messages/.
A priori some internet fiber was cut at Boulder and model download web site was completly unavailable between 0937Z FRI AUG 27 2021 and 1801Z FRI AUG 27 2021.
I guess the required info (and much more) is already provided on UI, via the Info control, for currently selected model:
The biggest white shark ever is swimming toward Europe, news say.
This web site displays its position in real time (as well as that of other swimming beasts).
And on that site, Weather Data Layers are provided by Windy:
This is the risk to take when using non-WMO weather stations. Nowadays everyone can buy on ebay and other amazons a so-called "weather station" for a couple of dollars, and then push on the web measures taken by any kind of sensors. Just be aware that many of these stations are not calibrated and thus not trustworthy.
Obviously the temperature sensors (at least) of station EW3441 are fucked off, while the owner is not aware or doesn't care about it. See more details here. Windy cannot handle this, it just displays without any control the measures sent by these stations. You should maybe ask more the owner of the station (maybe alanhenry53@hotmail.com).
As a conclusion: one should always trust WMO stations against personal weather stations.
All GFS 0.25° grib files provided by NCEP/NOAA after this upgrade do contain announced changes. I don't know if Windy downloads grids of all available parameters/levels: data is huge (>0.5 GB for each forecast), while downloaded grids may be filtered by both coverage, forecast, parameter and level.
Obviously not all available parameters and levels are available via Windy UI.
Anyway, introducing all parameters and levels on UI would be useless for most of the Windy users (e.g. some parameters are available for levels 0.1 hPa, 0.2 hPa, etc.); they would be only useful for research purpose.
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...
Of course "3D" is a language abuse (and so is "2.5D", too); nevertheless "3D" is nowadays generally understood as such by everyone, even by main contributors of modern GIS (e.g. ESRI).
I think the aim of Windy is not cartography (ArcGIS, Gogol Maps and other similar sites do this enough well; they hold the required money to do it); the main scope of Windy maps would be rather the Weather.
Thus, the so called "3D map" is just the Earth reduced to a dynamic sphere plotted on a flat web browser window. Of course it is a very rough approximation of the Terrestrial geoid... but finally who would like to get weather maps on such an ugly geoid, while "3D" does the deal for Weather maps? Moreover, holy "3D" actually has "4D": longitude, latitude, atmospheric level, and time validity of weather data layers.
About map projections: of course modern GIS can reproject on the fly any map data layer in thousands of different map projections, one more accurate than the other for a given point on Earth. But all this is pretty costly in terms of required hardware and map generation time. Thus, projections like the so-called Gogol (EPSG:900913), pseudo-projections like EPSG:4326, or famous "3D sphere", should be far enough pertinent for Weather maps on a free - or so cheap - web application. And I think Windy does all this at a pretty high performance rate: it is the most UI responsive public weather maps application I know.
See full announcement here, and 7 days observations online there.
https://www.windy.com/-Temperature-temp?temp,36.229,-116.767,9
Could be maybe related to currently selected map scale? Base map layer/style changes between zoom factor 11 and 12. E.g. where borders of Nevada, California and Arizona meet, map shows state borders at zooms 11-, bot not at zooms 12+
I checked a couple of dozens of cams in Ireland and England, and all images have a timestamp.
Would you have some case study where they don't?
If some 3rd party webcams don't send timestamps, I would not blame Windy programmers: they could not help here.
If "same point" means strictly same lon/lat (until the last decimal digit), then Windy should display always same values for a given parameter, same weather forecast model and same validity time, on all user sessions.
As values on a given position on map are interpolated from nearest model grid cells (e.g. for GFS 0.25°, each grid cell is a square of about 28X28Km), when two positions are slightly different, the interpolation results could be also slightly different.
You could try using existing Extreme forecast (Wind/Temperature/Rain), or Weather Warning (CAP Alerts) data layers, see screenhots below.
Nope, I don't care about having last word, I just want to help. Above was just said that forecasters - no, meteorologists don't draw cold/warm fronts, this is reserved to forecasters - advantageously use this way ECMWF CDB (and other) products.
If Windy users would need fronts, this is perfectly doable (and done on many professional applications). If users wouldn't like working with butterfly scenarios of Ensemble Models: graphical SIGWX products (BUFR format, available e.g. via SADIS), are available cheaper than forecast models and may overlay weather forecast model maps (of course with some extra work).
