Leigh Orf's Thunderstorm Research
Leigh Orf's Thunderstorm Research
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Leigh Orf WISC TV brief interview
WISC TV reporter Kathryn Merck does a short interview with Leigh Orf about his tornado research.
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Відео

The Use of the CM1 Model on Supercomputers
Переглядів 1,3 тис.8 місяців тому
This lecture was produced by Leigh Orf for research collaborator David Bodine's freshman Python programming class at the University of Oklahoma. It is a "whirlwind tour" of how Leigh Orf uses CM1in his research, including some "behind the scenes" views of how he uses the CM1 model on supercomputers, as well as how he uses visualization software to create high-fidelity visualizations of thunders...
Leigh Orf presentation at THWARTS, 14 Aug 2023
Переглядів 2,7 тис.11 місяців тому
Tornado Hazard Wind Assessment and Reduction Symposium: THWARTS thwarts.cee.illinois.edu/ In this presentation I discuss some of the challenges of simulating tornadoes and share some recent cloud modeling results, with an eye towards a future of coupling these physical cloud models with wind engineering models so we can someday blow stuff down with simulated tornadoes where the debris model int...
El Reno 2011 visualization (2014)
Переглядів 4 тис.11 місяців тому
Another storm from the archives. Well, the same storm (El Reno 2011, 30 meter simulation) but some early rendering approaches with the VisIt software. This was my second and final submission to SIGGRAPH.
Supercell on a Carousel (2005)
Переглядів 62911 місяців тому
So, way back in 2005 or so, I submitted this video to SIGGRAPH, a graphics conference (it was not accepted). It was my first of two SIGGRAPH rejections, the second was a long rendering of the El Reno 2011 tornado before I had more finely honed my mad viz skillz. Anyhow... one from the archives! I used software called PoVRay (still being actively developed today) that was the only thing I could ...
Supercells In Polygondwanaland
Переглядів 2 тис.11 місяців тому
Over the past decades I've accumulated a lot of video from my research that has never seen the light of day. I've always wanted to do a long segment highlighting different aspects of supercells in a more artful form than my typical scientific presentations, but I knew it needed a decent soundtrack, and I don't have time to create my own music right now. A year or so ago I discovered this nifty ...
Illuminated Supercells
Переглядів 2,7 тис.11 місяців тому
I found a few new buttons on Paraview the other day. I subsequently went on a 'render bender' and this is the final result. Last year the software engineers at Kitware, authors of Paraview, included some GPU-native new lighting code that does things I've mostly only seen done with hard to use expensive proprietary software. Coupled with an NVIDIA Titan RTX GPU that had been spending far too muc...
Leigh Orf TV interviews at Steamboat 2023
Переглядів 528Рік тому
I had the pleasure of being interviewed live on camera by both Bill Bellis (KSNV, News 3 Las Vegas) and Jen Carfagno (The Weather Channel) during the 2023 Steamboat Weather Summit.
Leigh Orf's Dark Skies Severe Weather Seminar Presentation at Madison College
Переглядів 2,6 тис.Рік тому
Notes/errata: Poquonock / Windsor / Windsor Locks tornado documentary produced by Windsor Community Television: ua-cam.com/video/H1tyS3Jt4Rw/v-deo.html Madison, WI received a record 1 foot of snowfall the evening preceding the seminar. 8:27: Ted Fujita was, of course, at the University of Chicago, not Colorado (brain glitch)! 10:50 ...and I knew my time had come to enter the delta... 28:10 The ...
Simulations and Visualizations of Violent, Tornado-Producing Supercell Thunderstorms
Переглядів 4,5 тис.Рік тому
Notes / errata: This talk is Leigh Orf's presentation at the 2023 Steamboat Weather Summit in Steamboat Springs, CO. Link to my 2018 Weather Summit presentation: ua-cam.com/video/NFgV8PSlca0/v-deo.html 1:37 Actually I was 5, my sister was 4. Later on I'll also forget how old I am. Turns out I was 54 when I gave this talk. 3:20 Mrs LePage's age isn't 80, it's her street addresss 3:42 Excellent p...
Leigh Orf's talk at the 30th AMS Conference on Severe Local Storms
Переглядів 2,4 тис.Рік тому
"A vortex-relative perspective on tornadogenesis in a large-eddy supercell simulation containing a violent long-track tornado" by Leigh Orf, presented virtually at the 30th American Meteorological Society Conference on Severe Local Storms, held in Santa Fe, New Mexico.
The Top (4K)
Переглядів 2,1 тис.2 роки тому
Visualization of a large eddy simulation of a supercell thunderstorm, focusing on the overshooting top and anvil. Hardware: Frontera Software: CM1 Simulation domain size: 240x240x30 km Grid spacing: 30 m Rendering: VAPOR Sounding: Markowski (2020) Forcing: Naylor and Gilmore (2012) Funding: NSF References: Stanzione, D., J. West, R. T. Evans, T. Minyard, O. Ghattas, and D. K. Panda, 2020: Front...
The Use of Lossy Compression to Enable Breakthrough Science in Cloud Modeling
Переглядів 9002 роки тому
Leigh Orf's virtual presentation at the 102nd AMS / 8th Symposium on High Performance Computing for Weather, Water, and Climate Conference link: annual.ametsoc.org/index.cfm/2022/ Talk link: ams.confex.com/ams/102ANNUAL/meetingapp.cgi/Paper/398927
O R F ORF
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In case you were wondering how to pronounce 'Orf' [Excerpt from Doc Martin, Season 8 Episode 6, "Accidental Hero"]
THUNDERR 2021 Dr. Leigh Orf virtual lecture
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Leigh Orf's 90 minute talk at the International Advanced School on THUNDERSTORM OUTFLOWS AND THEIR IMPACT ON STRUCTURES October 4-8, 2021, Genova, Italy Main site: thunderr.edu Program: www.thunderr.eu/wp-content/uploads/2021/09/International-Advanced-School-on-Thunderstorm_FinalProgram_IAS_Workshop_ver2.pdf The lecture covers the physics of downbursts, the history of downburst research and mod...
LES simulations of supercell thunderstorms
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LES simulations of supercell thunderstorms
Data Management in the Petascale Computing Era: Challenges and Breakthroughs
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Data Management in the Petascale Computing Era: Challenges and Breakthroughs
Supercomputers and Supercells
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Supercomputers and Supercells
Leigh Orf Q&A #1
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Leigh Orf Q&A #1
Leigh Orf June 2021 research update
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Leigh Orf June 2021 research update
A 10-m resolution quarter trillion gridpoint tornadic supercell simulation
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A 10-m resolution quarter trillion gridpoint tornadic supercell simulation
Ultra-high resolution supercell simulations visualized with VAPOR v3
Переглядів 7 тис.4 роки тому
Ultra-high resolution supercell simulations visualized with VAPOR v3
Kelton Halbert presents "Simulation and Analysis of Severe Thunderstorms On Blue Waters"
Переглядів 4,4 тис.5 років тому
Kelton Halbert presents "Simulation and Analysis of Severe Thunderstorms On Blue Waters"
Leigh Orf's plenary talk at CSME-CFDSC Congress 2019 at Western University, Ontario
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Leigh Orf's plenary talk at CSME-CFDSC Congress 2019 at Western University, Ontario
Tornadoes and Technology: Simulating and Analyzing the World's Most Devastating Storms (Dark Skies)
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Tornadoes and Technology: Simulating and Analyzing the World's Most Devastating Storms (Dark Skies)
Supercells and Supercomputers: Simulating The Most Devastating Tornadoes (EAPS/Purdue)
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Supercells and Supercomputers: Simulating The Most Devastating Tornadoes (EAPS/Purdue)
Tornadoes and Technology: Simulating and Analyzing the World's Most Devastating Storms
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Tornadoes and Technology: Simulating and Analyzing the World's Most Devastating Storms
Leigh Orf presentation at 29th Conference on Severe Local Storms
Переглядів 2,5 тис.5 років тому
Leigh Orf presentation at 29th Conference on Severe Local Storms
Leigh Orf presentation at 2018 Blue Waters Symposium in Sunriver, OR, June 5, 2018
Переглядів 14 тис.6 років тому
Leigh Orf presentation at 2018 Blue Waters Symposium in Sunriver, OR, June 5, 2018
2018 CIMSS Modeling Seminar Presentation
Переглядів 8156 років тому
2018 CIMSS Modeling Seminar Presentation

КОМЕНТАРІ

  • @truthisoutthere6721
    @truthisoutthere6721 2 дні тому

    Not to be rude but you got your model wrong. I live in tornado alley and have been in five tornadoes including one that completely destroyed my house. I have seen them all form right in front of me. I guarantee you the tornado actually forms from the ground up. I don’t know how but that is what I have seen myself on all five tornadoes. Thank you but you need to figure this out.

  • @juanfervalencia
    @juanfervalencia 4 дні тому

    Dr. Orf can you recommend bibliography to understand this lecture?

  • @juanfervalencia
    @juanfervalencia 7 днів тому

    Please share this with everyone. By far the best explanation for the lay person.

  • @KayC352
    @KayC352 9 днів тому

    I heard crumbling castle playing on the radio a few months back but couldnt remember the name. Probably the most unexpected place I would find it again 😂

  • @olivertm1460
    @olivertm1460 26 днів тому

    a wHot now?

  • @charlotteoceane
    @charlotteoceane 26 днів тому

    Anyone else came back to this video after seeing Timmer's drone video of the Greenfield tornado?

  • @chrissgraniteparadise2656
    @chrissgraniteparadise2656 26 днів тому

    VERY COOL!!!

  • @wendysw714
    @wendysw714 Місяць тому

    Wow! That was cool! I am almost 59 years old/young--why am I using the word cool?!? 🤷 What other words have the same meaning as cool?

  • @xshaide
    @xshaide Місяць тому

    Would you be able to divulge the outputs you use to visualize the cloud matter in cm1? Thankyou

  • @williamduckworth305
    @williamduckworth305 Місяць тому

    But the funnel is the part that eats your house...

  • @user-xf8xc6cp1e
    @user-xf8xc6cp1e Місяць тому

    where is the audio

  • @redneckrevolt1
    @redneckrevolt1 Місяць тому

    This helps me understand so much more! I doubt I’ve ever met anyone who would know this much about how a tornado forms!

  • @fjs1111
    @fjs1111 Місяць тому

    Leigh, I commented once before in another video of yours. I'm quite an experienced software developer among other things and that is most impressive. It's always more difficult when you begin before the framework and modeling engines are developed/widely implemented. You've built quite the name for yourself, keep it up!

  • @redneckrevolt1
    @redneckrevolt1 Місяць тому

    Best video on tornados and how they form! Now I watch real tornados and understand where the twists are coming from!

  • @Vernon-gn9wb
    @Vernon-gn9wb Місяць тому

    Cletus! Its comin' right fer us!!!

  • @doctorshawzy6477
    @doctorshawzy6477 Місяць тому

    miso meso?

  • @jordansoflylogs8526
    @jordansoflylogs8526 Місяць тому

    this would make Tim and Pete so happy!! RIP Samaras Family!!!

  • @melodymonger
    @melodymonger Місяць тому

    I've been watching a lot of storm chaser videos lately and started wanting to learn more about mesocyclones, supercells, updrafts and downdrafts etc and this video is pure gold 🥇👏. This is why I ❤ simulation and visualization. So fascinating 🤓

  • @ILLUMINATI38436
    @ILLUMINATI38436 Місяць тому

    Kudos to Dorothy 👍

  • @rando4038
    @rando4038 Місяць тому

    To 5m resolution and beyond!

  • @MarilynMansonIsBetterThanRap
    @MarilynMansonIsBetterThanRap Місяць тому

    Please never say spawned a tornado you sound uneducated in research.

  • @robertmerkle6879
    @robertmerkle6879 Місяць тому

    Humble Brag: "I don't know what it means but it looks pretty cool..." This guy seems to be a computer scientist that minored in Sever Weather. Anyway, this is the coolest thing I have ever seen. Thankyou for sharing your work on yt!

  • @LeCharles07
    @LeCharles07 Місяць тому

    I need new hobbies. I recognized the 1985 Fort Worth crash reference from the episode of Mayday. :C

  • @xitheris1758
    @xitheris1758 Місяць тому

    It's difficult to find an older scientist. They tend to let their untested hypotheses become ossified beliefs. They often become so stuck in their ways that they end up resorting to the same attitudes common in pseudoscience. There seems to be a cycle that a scientific field can fall into. 1) A generation proposes hypotheses, performs experiments, and discovers breakthroughs. 2) The Discoverers mentor the next generation in formulating a model based on those breakthroughs. 3) The Model brings progress, excitement, funds, and public trust; the Modelmakers take over; and they push the Model. 4) The Modelmakers emotionally invest in the Model, and they come to not want their work superceeded. 5) Enough of the Modelmakers disallow questioning the Model that dogma develops against the Scientific Method. 6) Progress, excitement, funds, and public trust decrease; and the field shrinks in a negative feedback loop of toxic culture. 7) The Modelmakers retire or die, the dogma breaks down, and the field opens back up to the Scientific Method. 8) The field is revitalized as hypotheses are proposed, experiments performed, and breakthroughs discovered.

  • @xitheris1758
    @xitheris1758 Місяць тому

    Some back-of-the-envelope results: If the full supercell simulation he references here took 4 weeks and was done in 2017, then we're looking at about the 2060's to start using the real-time probability simulations he dreams of. 4 weeks/simulation * 7 days/week * 24 hours/day * 60 minutes/hour = 40,320 minutes/simulation We'll need at least 100 simulations, all completed within 10 minutes. Moore's Law is twice the computing speed every two years. So, we're looking at, 4*7*24*60*100/2^(X/2) Where X is the number of years after 2017. Solve for X, round up, and you get 38. 2017 plus 38 is 2055. Add another 10 years for various other factors, and we're at 2065. I'll still (barely) be working age by then, but I'd wager nobody in attendance at this meeting will be. We're still decades from tornado evaculations.

  • @xitheris1758
    @xitheris1758 Місяць тому

    I don't know much about tornadogenesis, but it looks like the big anticyclone that forms to the left of the smaller incoming cyclones plays a role in corralling their vorticities together. Is that already well-studied or is it not the case?

  • @exosphere3d
    @exosphere3d Місяць тому

    i was pretty sure i was the only one to remember that graupel was a thing, took quite a few searches especially considering that my memory of it was spelled "grovel". stunning viz work all around. i'm curious if you saw the recent awesome footage from Reed Timmer and how it must validate (or refine, or challenge) your understand of tornadic simulation. have you done a computation based on, and compared to, an actual super cell event? left side simulation, right side satellite photo....that style of video?

  • @mond000
    @mond000 Місяць тому

    I would imagine that a model like this could be used in conjunction with a mechanism to heat the air in certain spots to affect storm formation/intensity. Probably the state of the art of such tech would be classified and many decades ahead of this guy's work.

  • @cmerk72
    @cmerk72 Місяць тому

    Impressive work!

  • @iehudim
    @iehudim Місяць тому

    2024 a 500km just happens, multiple vortex

  • @andie_pants
    @andie_pants Місяць тому

    Dr. Orf is the GOAT! 🌪️🐐

  • @Edn4
    @Edn4 Місяць тому

    Neat! Kind of silly how they cut it down to two sentences

  • @Otyrr
    @Otyrr Місяць тому

    Have you found any interesting points yet as to what causes the anti-vortex forces that seem to eventually shut down tornadoes?

  • @alekverhovod
    @alekverhovod Місяць тому

    ..can produce the moving equivalent of a nuclear bomb... Testing of weather weapons based on the pulsed subcritical reaction of plutonium began in the USA in the mid-50s. This is why there is no PUBLIC radiology network in the US. Weather drones were at first primitive balloons with difficult radio control, but scientific progress has taken its toll and today they are incredibly effective. DON'T LOOK UP ) OPPENHEIMER - Creating The Nuke Scene Cortex Videos 15:44 the finger of satan... When you look at ANOTHER mushroom cloud of a supercell, does it HINT TO YOU ANYTHING? Then just take dosimeters and run to check the gamma level))) Oppengamer was the first to believe in gamma weapons, then he convinced the generals of the HIDDEN power of weather weapons based on PULSE nuclear reactions...and then the race began for “weapons-grade” plutonium supposedly to counter the Soviets... that’s very briefly) The generals were also shocked, but Oppy easily convinced them of the reality of this thing. Then it’s a matter of technology and finance... Plutonium core based meteodrones use HIGH RADIATION GAMMA IMPULSE for provokation HUGE water condensed process in previosly still atmosphere...meansured, please), GAMMA LEVEL near typical "supercell" It is necessary to measure gamma AT THE BEGINNING of the supercell formation process - while the drones are ACTIVE. This is the first half hour. The plutonium core of the meteodrone generates powerful radial gamma pulses in the dew point layer and this gives the PRIMARY impetus to the entire process of creating a pressure/temperature gradient. Gamma radiation ionizes moist air, it condenses into a powerful cloud, a pressure gradient arises and the supercell mechanism is activated - warm air from all sides tends to the center of the format. Has anyone asked the feds why there is no PUBLIC network of radiology stations in the USA? In Canada it exists, and these stations show very interesting data when supercells pass over them...

  • @shawnharrison7596
    @shawnharrison7596 Місяць тому

    Apparently, based on how the Ward chamber model worked with multiple vortices it allowed for a center where there was a downward draft which could be a path to a seat for the funnel vortex to sit in. Wall cloud has negative-particles and the debris shaft has positive+particles thus 2 different fluid types that don't mix.

  • @zzzubmno2755
    @zzzubmno2755 Місяць тому

    It has been a while (25yrs) since I used ArcGis or mapping software. I do remember it would take many hours to make maps and predictive projections. It must have taking many long hours to make this simulation and some really cool software. Thanks for the vid, that was interesting.

  • @paulstejskal
    @paulstejskal Місяць тому

    Wow this is awesome. Do we have simulations of a building supercell yet that leads to something like this? These storms have always been a curiosity to me. Another question is did you solve the io problem? Hopefully with SSDs it isn’t a problem now. I work in data storage too.

  • @ronniehobbs6031
    @ronniehobbs6031 Місяць тому

    Man this is exactly what I have been Looking for. I was struggling to visualize radar returns to how the tornado actually forms. It’s like he read my mind and gave an answer for everything I have ever wondered. Thank god for physics and science majors

  • @alexj835
    @alexj835 Місяць тому

    ILL - INI

  • @chironthefloof2920
    @chironthefloof2920 Місяць тому

    could you make a tutorial on how to do your own simulations with CM1? i don't have a supercomputer but i would love to be able to simulate my own tornadoes!

  • @beaverbuoy3011
    @beaverbuoy3011 Місяць тому

    !

  • @Nicolas-gp1br
    @Nicolas-gp1br Місяць тому

    Thank you for sharing this simulation on youtube, it was very interesting to watch! This makes me wonder if there have ever been attempts to find initial conditions that produce extremely strong or wide tornadoes. The physical limits of tornado intensity is something that I am very curious about but there doesn't seem to be much research on that. Have there ever been simulations that tried to produce such extreme tornadoes?

  • @johnathondavis5208
    @johnathondavis5208 Місяць тому

    Can this be made to "crunch" via GPU for us users? Like Folding@Home, etc.?

  • @0ptimal
    @0ptimal 2 місяці тому

    The stats show a very low chance of being hit by one, but i can tell you from experience if you live in tornado alley, the odds of dealing with a close call in a given year are pretty high. Even if they never actually drop one, those situations are frightening themselves. Having a massive radar indicated rotating supercell right over or aiming right for your home? Yet so many pay them little mind until they're there. No shelter, no plan, no awareness during tornadic events. I suppose thats a less stressful way to be but it does cost people. If there's a reasonable chance of one, im watching the radar until there's not. Even if it's overnight. Sleeping when there's a monster roaming the sky looking for a random place to annihilate? Hell no.

    • @alekverhovod
      @alekverhovod Місяць тому

      Plutonium core based meteodrones use HIGH RADIATION GAMMA IMPULSE for provokation HUGE water condensed process in previosly still atmosphere...meansured, please), GAMMA LEVEL near typical "supercell" & understand this message.

  • @maxmyzer9172
    @maxmyzer9172 2 місяці тому

    It would be cool if you simulated what radar from the simulation would look like and compared it to the actual. Level 2 files have the exact time of each ray, so it is possible to do it precisely

  • @liceous
    @liceous 2 місяці тому

    gorg

  • @Vito_Tuxedo
    @Vito_Tuxedo 2 місяці тому

    Here's what I want to know: If you run this program multiple times does it always evolve in exactly the same way every time?

    • @LeighOrfsThunderstormResearch
      @LeighOrfsThunderstormResearch 2 місяці тому

      An excellent question, near and dear to my heart! It's also the same question I asked the engineers working on the Blue Waters supercomputer before it was fully built - I wanted to know, and their own answer was they didn't know! The short answer to your question about bit-perfect reproducibility is "yes" but only under specific circumstances. The CM1 model I use is compiled into a binary executable from source code (like all models that run on supercomputers). If I use the same exact binary I should get the same exact results, down to the very last bit, so bit-identical. I have verified this. However, a while back I tried to reproduce a simulation using a newly compiled version of the model and immediately saw that the solution was very slightly different, and the differences got larger over time (this is expected to happen with models like CM1 which simulate highly nonlinear phenomena). So what happened? Updates to the compiler and updates to the libraries on the supercomputer. The source code did not change, but the results were different in the least significant bits of data, and these small changes amplified over time, like the "butterfly flaps its wings" scenario. In science, reproducibility is considered monumentally important. You may have heard news stories where social science or medical studies cannot be reproduced (usually they involve human subjects). This has been called the "reproducibility crisis." In my world of cloud modeling, I am no longer so worried about this because any given simulation is just one out of a nearly infinite number of outcomes. I can always create a new simulation, and often times I get a very similar result (i.e., a big fat EF5 tornado that lasts a long time) even when I recompile the model or run the model on a different machine. I am always careful to point these things out, and the atmospheric science community I think generally understands this. It's also why the focus from specific individual simulations has changed to *ensembles* of simulations where you look at a bunch of simulations in slightly different environments/configurations and do statistics on them. In ensembles, it is hoped that the statistics will not change much even if each individual run may have changed. But it is especially challenging to do ensembles at the scale I typically run my simulations at, since my whole approach is to push the hardware very hard. So I kind of consider each simulation to be similar to an actual storm chase - with a storm chase you only get one shot on a storm. For super big simulations (like the 10 meter El Reno 2011 simulation I did on Blue Waters) I will never get that bit-perfect result if I run it again because the machine that I ran it on no longer exists, and there will be very slight differences in mathematical operations on a different machine.

    • @Vito_Tuxedo
      @Vito_Tuxedo 2 місяці тому

      @@LeighOrfsThunderstormResearch - Thanks for your reply. Alas, it doesn't *_unequivocally_* answer the question, for at least two reasons. One of them you mentioned-namely, you haven't had the opportunity to run the simulation on the same hardware twice. If the way the program runs is dependent on idiosyncrasies that vary from one machine to another, then it would be impossible to answer the question with any certainty. Let me back up and tell you why I've asked the question. I'm not concerned about a "reproducibility crisis". That's a concern only for physicists and others who deal with simple systems. You're dealing with a complex system; the Newtonian paradigm doesn't apply. The question is, have you truly succeeded in modeling a complex system? Now, if you run the program multiple times on the *_same_* hardware and you get exactly the same result every time, you haven't created a successful model of a complex system. From my perspective, it's a "boring" result. That's not a criticism, and it certainly isn't in any way a deprecation of the massive amount of ingenious work that you've obviously done to create these awesome and unique simulations. Nor is an assertion that these sims are not a giant leap forward in understanding tornadogenesis. I rather expect the opposite is true...

    • @wewillrockyou1986
      @wewillrockyou1986 Місяць тому

      ​@@LeighOrfsThunderstormResearch​ I might be wrong on this, but I don't suppose these kinds of models are great candidates for being run on GPU based supercomputers? I would guess there's too much interdependence between different data points for that to be efficient, but maybe I'm wrong on that. Do you think newer systems are moving in the direction that would let you realistically run multiple iterations of the same model (maybe with slight noise added to the input data or model constants) in the next few years?

    • @Vernon-gn9wb
      @Vernon-gn9wb Місяць тому

      I love the fact that some of the stuff he's given acronyms to relates to some of my favorite animes

    • @Vernon-gn9wb
      @Vernon-gn9wb Місяць тому

      I'd love to see an flcl vorticity

  • @erikp2004
    @erikp2004 2 місяці тому

    Really cool

  • @coxric
    @coxric 2 місяці тому

    May 24, 2011 was my first tornado intercept and man was it a doozy. Intercepted near Binger/Lookeba and the supercell stayed intact for so long that my parents' neighborhood west of Guthrie suffered damage. Fascinating model visualization. I learned more about supercell structure and dynamics watching this than in years of observations.

    • @alekverhovod
      @alekverhovod Місяць тому

      Plutonium core based meteodrones use HIGH RADIATION GAMMA IMPULSE for provokation HUGE water condensed process in previosly still atmosphere...meansured, please), GAMMA LEVEL near typical "supercell" & understand this message.

  • @snoopyevans9447
    @snoopyevans9447 2 місяці тому

    The scv can be hilighted in great detail with reed timmers recent Iowa tornado