@rittels said in Remove cities and temps from map:

-no-labels

Figured it out, thank you!

@igormonteiro
A fire map is planned for a next future:
https://community.windy.com/topic/8779/free-climate-data-from-ecmwf-copernicus/8
Meanwhile you can visit this website which gives a global view of fires in the world:
https://firms.modaps.eosdis.nasa.gov/map/#z:6;c:-3.6,41.0;t:adv-points;d:2018-10-10..2018-10-11;l:firms_viirs,firms_modis_a,firms_modis_t

That's probably something we can try.

The thing is that different model report different things.
I think that EC has all of model elevation, actual elevation and sfc temp while GFS only has actual? elevation.

I have chosen to use the model elevation when available because what's below probably do not make a lot of sense ?

@ivo Thanks!

@johnckealy

what you have in place works fine (happy days!!!).....just need to go back to old school and picture that parcel ascent.

Cheers

@peterevans

Hi Peter. I am working on a flight planner, that you might find useful. The plugin calculates ground speed, from your IAS and Wind speed at your chosen alt, and determines the corrected ETE.

Can I ask: What is your airspeed ? (74kph). What are your waypoints?

More info here: https://community.windy.com/topic/5358/import-a-kml-kmz-file

@chadh
I read the site you mentioned but I didn't find nothing about earthquake forecasts.
Also https://www.quora.com/Is-Michael-Janitch-aka-Dutchsinse-able-to-accurately-forecast-earthquakes

Thanks !

I use the sfc temp +3 degree for now as an approx - probably too much in the morning or when the cloud cover is important.

The surface temperature reported by the model does not seem to work better (I may want to give it an another try later).

Does it answer your question or is the question more about the temperature gradient ?

I ended up loading detail-render instead and it fixed my issue.

Thanks !

Thanks @ivo

So the "better" way to retrieve favorites is

import favs from "@windy/favs"; // or // var favs = W.require('favs');

Then

favs.getAll();

returns:

{ "34.492/-119.702": {key: "34.492/-119.702", lat: 34.491843, lon: -119.702396, name: "Santa Barbara", type: "fav", …}, "36.768/-119.098": {key: "36.768/-119.098", lat: 36.768385, lon: -119.097719, name: "Dunlap", type: "fav", …}, … }

and

favs.getArray();

returns:

[ {key: "37.514/-121.882", lat: 37.513810842731, lon: -121.88215255737303, name: "Mission Peak", type: "fav", …}, {key: "37.365/-122.246", lat: 37.3650410873092, lon: -122.24594593048094, name: "Windy Hill", type: "fav", …}, {key: "34.492/-119.702", lat: 34.491843534372784, lon: -119.70239639282227, name: "Santa Barbara", type: "fav", …}, … ]

I'd love to see more info about the available data too.
May be the plugins repo on github would be a good place to add them ?