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HashingZap ✝️

HashingZap ✝️

@HashZappa

Preparing for the end.

Katılım Mayıs 2022
420 Takip Edilen5.9K Takipçiler
HashingZap ✝️ retweetledi
Methuselah
Methuselah@EcdoPrep·
The earth is oblate. Fatter at the equator from centripetal forces. The contours on this map are 'isobars of crustal stress' from the difference in oblateness between our current N Pole and a Np' (31 E, 14 S) rotational axis. Notice that the East African Rift passes dead center through the area of maximum elevation loss (gets moved to the pole). In the Arctic, the Gakkel Ridge passes dead center through the area of maximum elevation gain. These two faults are orthogonal. Turned 90 degrees to each other, each passing through one of the two main pole position. I think this is not an accident- the crust has to accommodate two main modes of flexure, like a rugby ball being squished from the top then from the sides repeatedly. The 'tips' of the rugby ball are the Euler axes of the State 1 -> State 2 transition, roughly at Peru and Indonesia. They show some of the most complex, fragmented plate tectonics as they are the 'apex' that gets flex repeatedly in two perpendicular directions.
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HashingZap ✝️
HashingZap ✝️@HashZappa·
@W44808667q I mean its pretty obvious the difference. In the low res model the waters rush over all mountains. In the high res its funneled more realistically. Though maybe its only obvious to me because I stare at these things every day. 🤣
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W@W44808667q·
@HashZappa Hi it will not let me run the video side by side to at the same time to compare. It would be useful to have both videos in one extea extract wide video.
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HashingZap ✝️
HashingZap ✝️@HashZappa·
Here is a good example of why my simulations have slowed down. Below is the same exact ECDO model with the same exact calculations processed. The difference is one processes at .5° resolution and the other is .01° resolution. From 55k cells calculated to 140 million. It's clear I need to run the high resolution models more, but its an 8000% increase in compute and, thus, takes time to produce.
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HashingZap ✝️
HashingZap ✝️@HashZappa·
@CinePearlProd Because its poor resolution, which means it only takes 10 minutes of compute at most. So the left isn't accurate even if the model itself is right. That was why I shared both. I'll stick to sharing the 8000% increase in compute time models moving forward. lol
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HashingZap ✝️
HashingZap ✝️@HashZappa·
@CinePearlProd Sure, insomuch as this model being "right" at all. It's all still just an inundation model based on a list of assumptions that could end up being incorrect.
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Financial Dystopia
Financial Dystopia@financedystop·
Older generations need to start realizing if young people can’t get jobs, buy homes, or start families, things are not going to end well. That’s the basic social contract Work hard, build a life, own something, get married, have kids, feel like the future is worth investing in
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HashingZap ✝️
HashingZap ✝️@HashZappa·
@C0RRECT1ON @BeverlyMaxine It can be both depending on the situation. You can see slosh and ocean dynamics in the model and also land masses itself can displace oceans.
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Course Correction
Course Correction@C0RRECT1ON·
@HashZappa @BeverlyMaxine Do your models treat the inundation front differently because of the land sliding under the water rather than the water pushing over the land?
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HashingZap ✝️
HashingZap ✝️@HashZappa·
@stephXskystory crustal displacement is far more complicated than a core mantle decoupling The crust has varying thickness and mantle viscosity varies. The list goes on. lol
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Stephanie Buchanan
Stephanie Buchanan@stephXskystory·
I’m running into similar scaling issues as model fidelity increases. Once the mantle tomography, gravity field, LITHO1.0, topography, and other global datasets are coupled into the calculations, the computational cost grows extremely fast. What aspects of Ben’s model did he point out as difficult to represent under your current configuration? ECDO seems more straightforward to model because its geometry and boundary conditions are more defined.
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HashingZap ✝️
HashingZap ✝️@HashZappa·
I mean I'm in Idaho and still looking to move to the eastern slopes of the Rockies. We're a rural people family. I get why its harder for urban people to give up the modern conveniences provided. Even if this theory is true it could be a thousand years away or 20. Hard to justify uprooting an entire life based on a theory.
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HashingZap ✝️
HashingZap ✝️@HashZappa·
@stephXskystory I would like to update the rotational dynamics of ECDO once you begin to feel confident in your model. I don't calculate the rotation - just utilizing assumptions, which certainly impact the flood dynamics I DO calculate. Very excited to see your work progress.
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HashingZap ✝️
HashingZap ✝️@HashZappa·
I'm funneling 95% of my compute through the GPU since its much faster than CPU compute. I am running a 16GB 7800XT card, but I hope to upgrade to a 24GB 7900 XTX soon. I am pushing the top end of the 16GB VRAM on this card with ECDO modeling and it may limit me when I begin building out a true crustal displacement model. There will be must more to account for on the crustal displacement stuff. Ben actually pointed out a few things that made me realize I couldn't model his theory at all under my current configuration, which is why I am focusing on ECDO for now.
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Latest in space
Latest in space@latestinspace·
NEWS 🚨: The FCC just approved the first satellite designed to sell “sunlight on demand,” beaming reflected sunlight down to Earth after dark. The company wants 50,000 of them by 2035.
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HashingZap ✝️
HashingZap ✝️@HashZappa·
@basedpktakes Yeah, I'll be hoping to finalize this model soon. Just at a point of noting a comparison between resolution. NA was easiest to see how improved the model was the more compute I added to it. I'll try to get the full model published within the next few days on here.
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Based PK Takes
Based PK Takes@basedpktakes·
@HashZappa Would you be able to run this simulation for Asia? Specifically covering the Himalayas and Anatolia.
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HashingZap ✝️
HashingZap ✝️@HashZappa·
@favunc42052634 The ocean displacement and inundation is highest when the continent passes through the old equator.
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Type 1 Error Enjoyer
Type 1 Error Enjoyer@favunc42052634·
@HashZappa What assumptions do you use here? For example how high do you assume the maximum wave height could reach at the areas of maximum acceleration?
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HashingZap ✝️
HashingZap ✝️@HashZappa·
@ClaireIsQurious Maybe. This model is only looking at oceanic displacement. There would be all sorts of seismic destruction and potentially even mountain building in this type of event.
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Claire
Claire@ClaireIsQurious·
@HashZappa Your work is amazing, but something bothers me. When the water crashes over the west coast, aren't the San Andreas, Cascadia and San Juan deFuca faults all likely to collapse and start underwater tsumanis the other way?
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HashingZap ✝️
HashingZap ✝️@HashZappa·
@BeverlyMaxine The resolution captures better topography, thus can calculate water flows much more accurately. Why the lower resolution just shows all the mountain ranges getting swept over vs the higher resolution which better calculates the flows through the local topography.
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Bevinator
Bevinator@BeverlyMaxine·
@HashZappa Does the resolution determine why it seems like the Appalachians on the left are completely inundated, but not on the right?
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HashingZap ✝️
HashingZap ✝️@HashZappa·
Well done. You got me. It's easy to do nothing and claim everything. It's what modern science lives off of. Man-made CO2 and cow farts to two weeks to stop the spread. All they need are minions online to do no work and claim they know everything. Just call me a charlatan and go find a new person to shitpost at. 😚
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HashingZap ✝️
HashingZap ✝️@HashZappa·
@SunWeatherMan It defeats every model I've run - from the good ones to the very bad ones. The new valley of the sun is impervious to my trial and error.
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HashingZap ✝️
HashingZap ✝️@HashZappa·
@EcdoPrep I treat it like the pharaohs "allegedly" treated their workers to build the great pyramids.
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Methuselah
Methuselah@EcdoPrep·
@HashZappa Poor little GPU. Tell it it's better than getting flooded.
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