WolfStock1

What's SUM? (assuming it's an acronym) Looks like it trended down until the 1950's, and has generally been flat since then, aside from the past couple of years. Doesn't seem like it would be an indicator of climate change; if that's what you're thinking.

Wasn't there a big sleet-fest in '86 or '87? I was in Raleigh area, and I seem to recall us getting about 6" of sleet.

See that a lot here. Not an expert but pretty sure it's a radar artifact. I believe the algorithm increases the sensitivity at further distances, at certain wavelengths. Light precip or things fog or drizzle mess with that algorithm, making it look like there's a hole in the middle when there really isn't. Something like that. That's my story and I'm sticking to it.

Anyone know why Apple weather is so different than NWS forecasts? I don't use it but my wife does, and here's what hers shows this morning for Leesburg area for Sunday: Umm.. what? 24" of snow? Only 70% max chance of precip? Totally different than legit forecasts. Only thing I can figure is that the app doesn't have the ability to account for wintry mix / sleet, so it just does some kind of "snow equivalent" or something (?). No clue why chance of precip is only 70%.

You sure you're reading those charts right? That's not what I'm seeing. E.g. in the 1950-1995 period it looks like the average number of record highs was about 2,000 or maybe 2,200, whereas the average number of record lows was around 2,500, before they diverged starting around 1995. Not sure how you're asserting a big ratio like that at any point the 20th century, aside from *only* a few peaks in the 1930's. The key thing seems to be the divergence after 1995, with record highs increasingly outpacing record lows. That trend doesn't go back as much as you describe though.

Cripes man - not sure you really need to delve into the details of semantics with all your posts like that. From a scientific standpoint, there's no such thing as a "tie" when it comes to records. Temperatures are analog, with infinite granularity, and no two daily peaks are ever actually equal Perhaps there could be a tie from a measurement-device standpoint because no measurement device has infinite granularity - e.g. a given device may measure both 98.8 degrees and 99.2 degrees as "99" and consider it a tie. So thus how often one would expect a tie depends on the granularity of the measurement, and the units (F vs C). That's not mentioned in the OP. The main point I want to make though is - IT DOESN'T MATTER, because even in a "tie is considered another instance of a record" scenario - one would *still* expect a downward slope in the number of records over time. As you say - that's the nature of random number generation. Any new time an extreme peak is seen it means there's a lower possibility that peak (the record - be it a tie or not) will be achieved at any given point in the future, for any given sensor. As such - no I don't think the data presented could be considered "rigged". In part this is because the units and granularity of measurement aren't indicated, but also just the fact that the data trend is flat, and not downward-sloping (for daily record highs) indicates a general warming trend over the period. A rigged data set (e.g. if someone wanted to claim that warming wasn't going on) would show a downward-sloping trend.

Well - that's kind of the definition of "record" is not? The 2nd through Nth time you see a given temperature, it's no longer a record. (Presumably the left end of the data is truncated; e.g. any given station would have 365 record highs and 365 record lows in its first year; assuming non-leap-year)

Seems about right, and is consistent with a slow shift upwards in temperatures. In a no-change scenario one would expect both the number of record highs and the number of record lows to be decreasing over time. In a shifting-upwards scenario one would expect the number of record highs to be remaining about constant while the number of record lows decrease over time; those are apparent in those charts.

Looks like the timing of the peak was such that Europe got the best of it last night. Some spectacular pictures. France:

In general the policy shift hasn't been "anti-renewable" though - it's been towards weaning renewables off the government tit to self-sustaining mode. The cancellations have been when people and companies find that many of these projects are not actually financially viable. However that said - of note is that this started happening in late 2023 - long before the current administration came in and started implementing its policy shift. As such much of the failures of these projects had nothing to with policy - but rather a slow popping of the post-covid renewable energy bubble.

In general China is doubling-up their energy production - new fossil plants *and* new renewable (and nuclear) - because they can afford to. They can afford to because they pay their workers roughly 1/3 what US workers are paid, and because they generally don't worry about NIMBY or environmental impact like we do here in the US; e.g. their Medog Hydro project in Tibet. The US hasn't built a significant new dam in 50 years, let alone one close to the size of Medog or Three Gorges. (by comparison our largest - Grand Coulee - is about 1/8 the size of Medog and 1/3 the size of Three Gorges). It's not some kind of anti-renewable / pro=fossil policy that's holding back the US - it's a combination of higher regulation and environmental protection, NIMBYism, the fact that China is less prosperous than the US, and also simple geography.

I like the idea, though when presenting I wouldn't be so specific. It wouldn't just be for millennials of course; it would be interesting for us Gen Xers as well (thus allow for longer-term data if you can). Also I wouldn't state "look to find a location hundreds of miles south" - that makes it look like you're purposely biasing the data; instead perhaps just "look to find a location that most closely matches the location of childhood" and the the user come to their own conclusions (typically they would find it some distance north/south; depending on whether looking back to childhood from a given location or looking forward to present from a given childhood location).

From the way you describe it seems like your premise is that the climate (temperature in this case) is just a straight north-south gradient (?) and without seasonality. There are lots of places of course where the climate gets colder as you go south (e.g. into mountains); also it depends on the season - in many areas it gets hotter as you go north in the summer, but colder when you follow the same path in the winter. This is typical for instance as you move away from oceanside areas. E.g. Tampa's average peak high is 91 degrees, but if you go north to Tallahassee the average peak high is 93 degrees. But Tallahassee gets a lot colder than Tampa in the winter. So when shifting via warming the climate analog not only shifts around from season to season, but could even flip north/south depending on the location. That said - you could certain find some "pairs" of similar locations to do what you said. It just wouldn't work for a lot of locations.

Thanks.

Talk about political agenda - you love twisting everything that doesn't fit your narrative, don't you? There is no claim that there hasn't been an increase in the frequency of flooding in Miami. The "constant" just refers to the fact that Miami has experienced flooding all along - i.e. it's not something new to them; and therefore people who live there have to know how to deal with it. (As a tangible example of this - I recently rented a house on a Florida island that had recently experienced some hurricane flooding. The owner had recently done a couple of things - installed 2' stainless steel flood barriers in the doorways, and raised the output of the dryer from 6" off the ground to 4' off the ground. The barriers were already in place before the flooding; the dryer output thing got done after the flooding; apparently water got in there, though generally the house was fine.) It's noteworthy that you ignored the actual point and data presented, in your dismissal of my information based on my "political agenda". That's pretty typical of doomers I suppose - put your hands over your ears, shut your eyes, and ignore anything that doesn't fit your narrative, rather than presenting a counter-argument.