It would seem to me, that the best way to do long-scale climate models of a body ; knowing its composition in layers over time is really important to be able to calculate the flow of the layers of composition as particles.
Think of the experiment of light as wave/particle...
Glacial/geological scales operate as thus ; as physical masses of particles, but move in more wave-like manners - so you'll have material suspended and located in the overall mass based on how they were consumed as a particle, but the characterists of the glacial mass will appear to be acting like fluid waves.
So maybe if you know the timeline of a glacial flow, you can predict where the most particulate-glacial-slurry is held (thus minerals, biologic wash off in certain events etc.
Perhaps? Not sure I'm following the methodology you're suggesting. Most (perhaps all?) of the climate models I've read about or played with are based on energy balance. (energy in vs energy out)
Start with Solar insolation (energy in) then subtract all the ways that energy leaves the planet (reflection and radiatively from the atmosphere.) Then add that the planet is its own heat source (molten core and all that) and that energy contribution. Then add variable convection to the atmosphere based on latitude. The list goes on and on (which is kind of like harmonics in a Fourier series).
Then random things pop out like how reducing the weight of ice (by melting) increases volcanic activity kinds of things.
We could use a reverse-mycelium method of acruateley mapping actual climate change, as opposed to NRO satellites with filter information.
Create a sensor (this is the reverse mycelium part) - which is effectively the FRUIT of the mycelium plant - the Mushroom.
These sensors havea range of features, but they measure aspests of soils, light, air quality, etc...
And they look like solar garden lights - but they then talk back to a system whereby they all compare notes - the Mycelium - and adjust and then are read to predict the patterns based on inputs from the other sensors of windflow with particulate...
YES this is what the NRO and the NROAA(?) [people that look from space] do - but here you just start deploying such systems such as PURPLE air monitors do...
Or adding features to those...
I think we can have a much more fine-tuned climate model if the air sensors were made larger, deeper penetrating into the earth and be able to correlate a bunch more standard measurements we typically take for a specific are (Ph, moisture, elements that can be detected, rainfall, etc - we need "smart land bouys"
>>reducing the weight of ice (by melting) increases volcanic activity kinds of things
Thank you! I was literally just thinking about how hydro-geologics(?) have an impact on the earth - e.g ;;
Do lunar tidal forces affect frozen water differently than liquid water, salt water, fresh water - if the waters have a homogenoius gravitational density for each state - then the state of these will affect lunar pulls? given each's volumes geo distributed around the globe? (the solutions affect the volume - so does a cubic meter of saline, vs sea, vs, bottled, vs spring waters have a different gravitational mass - so the distribution of the various states in global scale qty may have some impact on earths (spin?Wobble?Tides?Climate?)
/sci-fi - thanks for letting me think that out loud.
Thus as the climate changes, the wobble changes, thus the prescession, etc...
?
I wonder if you were to suspend spheres of water in different solutiuons or states inside the giant antarctic neutrino detector - with sensors for each sphere, if you would have different readings of the neutrino interactions...
So basically an array of neutrino-reflectors - such that if you detect a neutrino into the ice array - then it goes through another material sphere (whichever medium your choice is) and then the output from there....
That would be interesting to see how to affect neutrino behavior on a materials basis... and if you can LLM the heck out of all data - you get the idea...
--
So if you can aside from detecting neutrinos - you have hover materials with aversion or fondness...
point is that one may be able to take ingress, inflection/reflection (through material substance types) and learn how to reflect and steer neutrinos - unless they 100% peice their normal regardless of any input.?)
I came up with an hypothosis ; particles amd waves work orthoganly -
The particles will have the energy in direction A <-- They only flow in direction, but have zero control
But a wave is the ability to PUSH
So if its a recipricating PULSE, it has the wave of PUSH - this velocity can be proximity - (RSSI) type...
so aside from lidar (which I have spoke on) - you reflect the UVs (i met an PHD on this and he revealed) --- so LOAA is scanning material types - and thus is in the position to TARGET material,,,
Think of the experiment of light as wave/particle...
Glacial/geological scales operate as thus ; as physical masses of particles, but move in more wave-like manners - so you'll have material suspended and located in the overall mass based on how they were consumed as a particle, but the characterists of the glacial mass will appear to be acting like fluid waves.
So maybe if you know the timeline of a glacial flow, you can predict where the most particulate-glacial-slurry is held (thus minerals, biologic wash off in certain events etc.