HaLo All American 14255 Posts user info edit post |
^Good. Android users don’t deserve nice things 7/6/2020 6:32:27 PM |
synapse play so hard 60935 Posts user info edit post |
Fuck apparently not now I have to dredge around for a new weather app 7/6/2020 8:52:59 PM |
TreeTwista10 minisoldr 148436 Posts user info edit post |
there are only hundreds to choose from
such as MyRadar
[Edited on July 6, 2020 at 9:00 PM. Reason : .] 7/6/2020 8:55:15 PM |
synapse play so hard 60935 Posts user info edit post |
There are hundreds but I've never seen anything as good as Dark Sky
(Hence the characterization of dredging) 7/6/2020 10:33:56 PM |
wdprice3 BinaryBuffonary 45912 Posts user info edit post |
^3. this. 7/8/2020 1:30:53 PM |
darkone (\/) (;,,,;) (\/) 11610 Posts user info edit post |
What do you want from a weather app?
DarkSky's key features are that they downscaled certain weather variables based on terrain and land use and that they used motion interpolation on weather radar for prediction of near-term precipitation onset. I'm sure they also have some secret sauce about how they weight forecasts from different numeric models to arrive at a deterministic forecast. Other than that, they use the same numeric models as everyone else. There's not a lot of proprietary weather tools and information out there and of the ones that do exist, few are actually good. 7/8/2020 3:04:25 PM |
synapse play so hard 60935 Posts user info edit post |
English holmes 7/8/2020 10:41:25 PM |
StTexan Suggestions??? 7141 Posts user info edit post |
^^is it seriously that fucking good? 7/9/2020 12:29:47 AM |
darkone (\/) (;,,,;) (\/) 11610 Posts user info edit post |
From my perspective, DarkSky impressed people for two reasons:
First, the developers realized that below a certain size scale, the biggest impact on the temperature at a given location was elevation and land-use. So they used that to take weather observations and predictions made on of a spatial scale of 1 - 10 km and interpolated those data to the scale of 10s of meters with good success. Basically they just used your location elevation information to make the temperature forecast more precise. That doesn't mean it was more accurate however.
The really cool thing they didn't that no one had done for a phone app before was motion projection for radar data. Basically, you see blobs of precipitation on radar. You analyze their movement over successive observations to calculate a motion vector. Then you use that vector to translate the blob forward in time. As such, their app could say, "It's going to rain in 22 minutes." and they would usually be pretty close. It's not a novel approach in the weather research community, but in was for a phone app. Over short periods of time, it's usually not a horrible assumption that a storm is going to maintain it's size, shape, intensity, speed, and direction.
DarkSky used to have blog posts which talked about this but they've been memory-holed.
As for weather predictions, all the models are run by governments and are either free (NOAA) or available to anyone willing to pay the licensing fees (ECMWF). Everyone works with the same data. Private models do exist, but there typically targets for specialist industries like wind power who like to know about specific parameters not captured by the public models. There are a variety of companies who try to sell their own forecasts based on some statistically informed weighting of the various public models. I don't think I've see anyone offer rigorous proof that they're making better predictions. There's very little "secret sauce" when it comes to weather forecasts. Human forecasters still exist because they're still pretty good an identifying when a model has missed something and gone off the rails.
DarkSky also had a good API which made them popular with developers. 7/10/2020 11:23:19 AM |
wdprice3 BinaryBuffonary 45912 Posts user info edit post |
I liked DS because of the interface and radar. The predictions were nice, but probably had <75% accuracy. 7/10/2020 12:01:58 PM |
darkone (\/) (;,,,;) (\/) 11610 Posts user info edit post |
The best radar app is RadarScope, but it's targeted at professionals. 7/11/2020 4:35:52 PM |
StTexan Suggestions??? 7141 Posts user info edit post |
^^^So when the Fish would be in front of a map during a snow storm and be “this is what the model is showing, but i think this could be less than map shows” etc?
Give a firm example of accuracy and precision. Is it guessing rain and 80 when it ends up being mostly cloudy and 93? 7/11/2020 11:38:26 PM |
darkone (\/) (;,,,;) (\/) 11610 Posts user info edit post |
One could teach a whole semester-long class on forecast verification and assessment. 7/12/2020 1:39:18 PM |
colangus All American 749 Posts user info edit post |
I just got fucked out of $300. I sent back a pair of AirPod Pros back in May (2nd pair I returned as the 1st pair didn't fit correctly). Both times they gave me a label w/ tracking.... both tracking numbers were wrong.
Both times they sent me - for no apparent reason- the shitty free pair of plugin earbuds you get w/ the old iphone/ipod (audio plug, not power).. I was like WTF?!?!
I've reached out via chat and phone.... every time they tell me a SR support rep will call me in 5 days... never hear back. 7/17/2020 4:40:37 PM |
wdprice3 BinaryBuffonary 45912 Posts user info edit post |
synapse
you find a new app yet? I've been using the free version of NOAA weather radar & live alerts. it's ok I guess 7/20/2020 9:09:07 AM |
GrimReap3r All American 2732 Posts user info edit post |
^for radar, RadarScope is the way to go for sure. 7/20/2020 9:19:48 AM |