Alex Krull

Something different from the Unidata workshops?

Congratulations on the position, and glad to have your skill and expertise back in the agency.

that would make things a lot more efficient, but were not available then.

But even using available tools 10 years ago that I was not using, I could have been much more robust with my analysis and more efficient at performing it.

I would keep the same hypothesis, and the big picture method I would keep. There is a lot I would do differently with Python and my output organization. And this would mean using Python and netCDFs in ways that were possible 10 years ago. There is a lot of new Python tools available today

I feel some of those have to go to aviation museums. I mean for decades that was part of commercial flight culture.

Any sleet at all being reported? That's a pretty sharp freezing layer under that melting layer.

Welcome to town!

I will give that read assuming I got it as well.

Oh no. What announcement or email did I miss running errands this morning?

Wow!

That scares me. And what also scares me, are editors who can tell a review was done with a LLM or a paper larger produced with an LLM.

@dopplerchase.bsky.social @plustssn.autumnsky.us Okay that makes sense. As this starts to get used, especially if the probabilistic output gets used, checking the output to make sure things meteorologicaly makes sense will be critical.

to learn wetbulb and RH behaviors, but completely ignore the temp and dewpoints?

This is a good piece of information to know. In the winter time, it's generally useful to consider the consider the wet bulb temperature for p-type. The AI/ML output though, will keep temp and dewpoint separate. Therefore, wetbulb temps and RH could be inconsistent. Or further, would the AIFS try

During my grad school search in 2016, I would not have guessed that just under 10 years later UWM and UNL programs would be gone. 🤯

I've been extremely fortunate to have two excellent meteorology education journeys. My Valpo B.S. turned me into a scientist. My Nebraska M.S. turned me into a independent critical thinker. Today the UNL Earth & Atmospheric Sciences was eliminated. Feeling very defeated today.

I wish the board and admin office of UNL would address these, but every time the question is posed, they throw back the dollar sign with a big number on the savings. It hurts to see that knowing the value behind everything else that is not readily visible.

Yes, I really do think there would actually be quite a bit gained if you combined the SNR and EAS resources, but you have to keep the people to maintain that value and enhance it.

💯

Yes. EAS, altogether with its combined resources, most importantly the people, is a classic example of the total sum being augmented beyond the simple addition of all its individual components. There will be much less value if fragmented throughout the university.

this will expand much beyond UNL. I hope the board carefully reviews the APC findings and realizes the tremendous losses this will cause.

The statement says that courses for federal requirements will remain. But, I have no idea how this happens with the complete elimination of the program.

mention that consolidation or reorganization could help retain this value.

There are several partnerships and collaboration with other academic institutions and federal labs, and also spans multiple disciplines. These will be severed if the board votes along with the chancellor. The impacts from

Very disheartened by the UNL chancellor's decision to recommend the Earth & Atmospheric Sciences Department for elimination, despite the opposition from the Academic Planning Committee's vote.

Both the opposing and in favor summary noted the value EAS provides to the discipline, and both sides

Windy in Fort Worth.

That makes sense. Good use of MESH and why MESH is still a good parameter to have.

and the background environment (I know there is some stuff out there already), it could make for a very useful GR2 user defined placefile.

latent. By the time you see a signal in MESH, the hail is probably already happening. A PAR network with 60-90 second full volume scans would probably be needed to make MESH useful in real-time warnings ops. One potential avenue, is if we can find a robust relationship between radar signatures

Others have noted that MESH can often struggle in high shear environments, which might align with your note on Spring and Fall season where you likely have stronger mid and upper level flow.

MESH is a great review and research tool. Right now, with the current 88D network, its data flow is too

similar ZDR/KDP, but one produced softballs, and one only produced golf balls. Then, see if the background environments could tell the story better despite similar radar signatures.

A sounding archive similar to the tornado one may compliment this well. Particularly, understanding the CAPE below and above the freezing layer, estimate of SR flow. Then, relate that to dBz and other dual-pol observations. This can then provide context to why two storms had 70 dBz up yo 45kft and