Strange Tallahassee weather

DgiggleMstickT · 1 day

qwertyyqwertt · 2 days

Ah yes. Here's the outflow boundary on radar after it passed through. And another image. I was on the west side trying to capture lightning photos a couple hours before sunset. Couldn't keep the shutter open long enough without getting the shot overexposed though. These evening storms didn't have much lightning. You take this photo or find it somewhere? A friend of mine captured this one.

qwertyyqwertt · 2 days

When was this?

vexxed82 · 2 days

Use imgur to host your images if upvotes is what you're searching for. Flickr doesn't play well on the Alien Blue mobile app and honestly, anything imgur hosted tends to get more traction. Reddit just likes imgur. Plus, a lot of it is in your title. We're now a couple days past the eclipse. That's forever in reddit time so people may ignore it before even clicking on it. Just sell it as an amazing stormy sunset over Chicago. This is an absolutely gorgeous photo, but it's got two strikes against it before even being looked at. Just my two cents. Again, amazing photo. Thank you for sharing it.

UniverseCalculus · 4 days

Yeah, it's confusing, but I was taught of it in terms of 1/8th's of the sky dome. The sky is the top half of a sphere (aka a sky dome). When ~1/8-2/8 (or 12.5%-25%) of the sky is filled by clouds, it's mostly sunny. When that increases to 3/8-5/8 (37.5%-62.5%), it turns to partly sunny/partly cloudy. 6/8 and 7/8 are mostly cloudy and 8/8 is cloudy/overcast.

Obviously, you can't use the word sunny at night, so you use partly/mostly cloudy instead.

I think this chart inside the article Sp4m linked defines it well.

tl;dr To answer your question specifically, mostly sunny has more sun than partly cloudy.

Sgt_Pepper91 · 9 days

Go buy a bag of ice. Put some in a bowl. Use the fan to blow air over ice. Then when the ice melts to water, you can put the cold water in a spray bottle and spray a fine mist in front of the fan and let it hit you. All of this wastes a lot less electricity than keeping your freezer open to cool a house/apartment.

But seriously...was it like in the 80s with a dewpoint in the low to mid 40s in Wisconsin today? That's PERFECT.

JoshsFace · 11 days

Awesome! I'll never forget the first strikes I caught on film. It was so exciting to see the strike and know I had the shutter open. I couldn't wait to get inside and see what it looked like. Congrats!

FrankNStein · 11 days

Combination of ground clutter/anomalous propagation. Weather channel app is supposed to filter all that stuff out, but since there is precipitation in the area, it looks like some of that got through. I'm not sure if they have a human in the loop before they send that product out. I didn't see anything wrong with the radar itself over the past hour anyway.

Here's a raw, unfiltered radar image in the northeast. Notice how much non precipitation stuff radar actually picks up on that needs to be removed. This stuff is really bad at night as inversions set up.

Saaty · 12 days

Your dad is in kindergarten?

Kueeny · 15 days

Aww, those are adorable! Here's our little one eating dinner! He's about 2 months old now.

straightballer · 16 days

Yeah, well, that's just, like, your opinion, man.

EDIT: I hope you sent some constructive criticism and not just the fact that you hate it.

straightballer · 16 days

Is it the best design? Absolutely not. It's a bit ugly. It's not made by a graphics artist (or at least I hope not). Is it a step in the right direction? I think so. And here's why. It's more functional. The old page only took up about 1/3 of your computer monitor. It looks like it's a mobile strip with the other 2/3 blank. It's squished. I have 20/20 vision and I admit it's small. I can't imagine anyone with poor vision wanting to read that.

They also moved the current conditions to the top of the page so that it's the first thing you see when you go to that page. I like that. Previously the current conditions were on the side in a tiny square box. Now currents have much more room all the way across the top. And as much as I hate it, they also integrated sharing via facebook, twitter, reddit, etc.

They added a graphical link to the hourly weather graph and all the links that were on the old page are still at the bottom under the same "Additional Forecasts and Information."

They removed the point and click map which I did find helpful, but perhaps they didn't see that useful for the rest of their user base.

Here's the thing...all these links and stuff could use some sort of background that allows the user to see it better. They haven't really changed much save for making it bigger. The biggest issue I see is that there aren't any placeholders for anything. That's the biggest distraction. All the links and information (except for the 7 day text) just appears to be floating in space. Other than that (and it is a big one), I really don't have an issue with it. I can see myself even getting used to this, but there are definitely improvements that could be made.

library_sheep · 17 days

I'm not familiar with Stormpulse, but CIMSS is a great site with a lot of data.

Volke_Spy · 17 days

A karma chameleon.

workitselfoutfine · 21 days

Worked for me. I live in a huge apartment complex. Everyone around me got one. I just had a slip that said, "We came, but you've opted out" or something along those lines. Totally worked for me.

workitselfoutfine · 21 days

Yes it works. I've opted out and the last delivery they just left me a door slip saying they came, but since I opted out, I didn't get one.

Edit: See you were probably referring to the reducing the junk mail link. Haven't tried that.

redditwriteit · 21 days

First of all, great picture...

I'm no lightning expert, but doesn't "bolt from the blue" refer to the fact that the strike appears to come from the (clear) sky away from the parent thundercloud and not necessarily have anything to do with polarity? Not all positive strikes are "bolts from the blue." Here are some examples I found.

This article defined "bolt from the blue lightning" as:

lightning that begins upward, but then moves sideways and then downward to hit the ground as much as three miles from a thunderstorm.

I don't see any downward path in the photo, nor where the strike makes contact with the ground. Every "bolt from the blue" article I've read mentions contact with the ground. The strike in the photo appears to be coming directly out of the cloud base as opposed to out, away from the cloud, and down to the ground. It's a great photo, but I'm not sure I would classify it as "bolt from the blue." Again, that's just my two cents as a meteorologist. Lightning is not my specific area of study.

bwcajohn · 22 days

Link?

stoomps · 22 days

That approach will work a lot of the times I think because a) climate will almost always (90+% of the time?) put you within 2 standard deviations of the normal (ie give you a range the temperature should be and b) yesterday's temp will generally level you out to what short term weather pattern is going on. The only times I can see this method failing is sharp temperature drops/rises in short periods of times.

Very interesting information!

Edit: How well does it work for precip?

Guyot11 · 22 days

Take these online classes. Everything you need to know and a lot more. They're about 20-30 minutes for each product, but so well worth it. The quick reference by armyofhipsters is good too.

EDIT: I have a bit more time to write some stuff out.

HCLASS (Hydrometeor classification). This is a best estimation at classifying what kind of hydrometeor is falling at altitude. It doesn't tell you anything about what's happening at the surface. IMO, the main thing this product is good for in severe weather is quickly identifying areas of potential hail (and quickly), but should really be used in conjunction with reflectivity and other products to confirm. The downside to this product is that it does not tell you what the 2nd best guess of the algorithm was. If two classifications were really close (eg the algorithm classified the hydrometeor as possibly hail or graupel) and hail won out by a slim margin, you don't get to know that graupel was a really close 2nd.

Correlation Coefficient: Tells you how well correlated hyrdometeors are. If everything has the same shape/size/type, they are well correlated and CC will have a value of 1 (aka 100%). Low values of CC (< .8) represent targets of sliver shape that are tumbling. This can be things like debris or even ice crystals. Basically this is a measure of how "alike" the targets are. As mentioned in the online classes, CC will be lower down radial of hail shafts due to non-uniform beam filling. CC also decreases as you get a mixture of hydrometeors (ie rain mixed with snow). CC is also great for determining the melting layer in the vertical. If you have any program that lets you take a cross section of CC, it's great for finding the melting layer. When CC is low, you have a mixture of targets. When CC is high, your targets are very uniform.

KDP (aka specific differential phase): This is basically your rain rate. However, this takes into account hydrometeor types and tries to take out things like non meteorological echoes. KDP is not shown where correlation coefficient is less than 0.9 (ie where it's likely not meteorological echoes). KDP also tries to filter out things like hail (KDP is near 0 with hail)...eg...old rain rates would give you high rain rates even though it was all hail. With KDP, only water coated hail will give you high KDP values. This will hopefully lead to better rainfall accumulation estimates. A big storm with huge hail will actually not show up with a large KDP value in the middle of the hail shaft. KDP is really used to better estimate rain rates. High KDP = high rain rate.

ZDR (aka differential reflectivity): This is simply horizontal minus the vertical and gives you an idea of shape. Greater than 0 means the shape is oblong, less than 0 means the shape is a sliver (in the vertical). High ZDR values means bigger rain drops.. Hail tends to have ZDR near 0 because hail tends to tumble and appear to be circular. ZDR can be biased one way or the other based on mixture of hydrometeors as well. If you have rain mixed with hail for example, the larger hail will bias ZDR toward 0 because ZDR is based on diameter to the 6th power. So in the presence of areas of large hail, ZDR will be lower. ZDR also has local minima in areas of debris with tornadoes.

Hope that helps. Once you start to understand it and why each product does what it does and the biases, you'll be able to pick out features. I'm still learning a lot as I look at different case studies, but at least now all those colors mean something when I'm looking at them.

wx_dan · 22 days

At least he didn't interrupt Criminal Minds

stoomps · 22 days

The reason I wanted YOU to quantify this was so that you could see we're not wrong so, so, so, often (at least not in the US, I can't speak for elsewhere).

There are several things wrong with the second example you posted. Namely that they're simply picking an icon at a random time of the day. The poster straight out mentions his poor methodology to measure accuracy. From the second example:

This is obviously not a great way of measuring a weather forecast's accuracy

Here's just a single probability of precipitation study...where they're a lot more accurate than you might think.

Even automated sites are pretty accurate. Just put in any city in the US and see how accurate everyone is as well as "Persistence" is (using the same weather as today for tomorrow). 75% is usually what you'll find.

My point is, I think that if you did some studies or quantified it yourself, I bet you would find we aren't really wrong all the time.

stoomps · 23 days

Done.

To me, POP has always been confidence * coverage area. The issue has always been how to effectively get the message of "WHY" across because, as you know, 40% POP doesn't mean the same thing every time and in every place. If people can understand "Why?" better, they might better understand the POP better.

stoomps · 23 days

because they are so, so, so often wrong.

I would really love to see you quantify this.

quasigeostrophic

TROPHY CASE

quasigeostrophic

TROPHY CASE

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