WRMTNG ? O GOT WRAPPED TO MT

---
Frank C. Wimberly
140 Calle Ojo Feliz,
Santa Fe, NM 87505

505 670-9918
Santa Fe, NM

On Tue, Jan 27, 2026, 10:56 PM Nicholas Thompson <[email protected]>
wrote:

> Roger,
>
> I am sorry.  I cant decode yourlast message.   Bye the bye, where are you
> thee days?
>
> Nick
>
>
> On Tue, Jan 27, 2026 at 9:59 PM Roger Critchlow <[email protected]> wrote:
>
>>                  AI Summary
>>
>>
>>>
>>>    - Nicholas sent an email to the FRIAM listserv containing only Morse
>>>    code and group information.
>>>    - Stephen replied to Nicholas and the FRIAM listserv with an empty
>>>    message body.
>>>
>>> By Gemini; there may be mistakes. Learn more
>>> <https://support.google.com/mail?p=gemini-summary-card&hl=en>
>>>
>>
>> .-- .-. -- - -. --. / ..--.. / ---  / --. --- - / .-- .-. .- .--. .--. .
>> -.. / - --- / -- -
>>
>>
>> https://statmodeling.stat.columbia.edu/2026/01/26/machine-learning-research-is-not-serious-research-and-therefore-hallucinated-references-are-not-necessarily-a-big-deal-agrees-a-prestigious-group-of-machine-learning-researchers/
>>
>> -- rec --
>>
>> On Tue, Jan 27, 2026 at 6:09 PM Stephen Guerin <
>> [email protected]> wrote:
>>
>>> Nick,
>>>
>>> I read *Assembling a Chimney*  as a structural account of storm
>>> formation rather than an energy-threshold story, and I found the clarity of
>>> the chimney metaphor and diagrams especially strong. Your distinction
>>> between notional and structural columns, and the way mixed layers, elevated
>>> mixed layers, and jet-level dynamics incrementally assemble (and cap)
>>> vertical coordination, makes clear that storms emerge when a continuous
>>> pathway is constructed, not when a single variable crosses a threshold.
>>>
>>> In my language, what you call a “structural column” is a *constraint
>>> geometry*: a configuration in which gradients stop acting merely as
>>> local forces and instead define the geometry that motion follows. Your
>>> consistent use of potential temperature (θ) already does this work. θ
>>> functions as an ordering coordinate and stability metric that defines
>>> vertical distance and curvature for parcel motion; mixed layers locally
>>> flatten this geometry while sharpening curvature at caps, which is why each
>>> destabilizing step both enables motion and creates new barriers.
>>>
>>> One distinction I find useful here is between *thermodynamic conjugate
>>> variables*, whose products have units of *energy*, and *action-level
>>> conjugates*, whose products have units of *action* (energy × time).
>>> Most of weather science lives—appropriately—in the first category:
>>> temperature–entropy, pressure–volume, chemical potential–mass, latent
>>> heat–phase fraction. These describe how energy is stored and transferred.
>>> But the chimney argument is really about when a system can support
>>> coherent, column-spanning transport, which naturally pulls in the second
>>> category: position–momentum, time–energy, angle–angular momentum—pairs that
>>> define geometry and path selection.
>>>
>>> A related point is that a *path formulation always exists*, but it is
>>> easy to hide it when space and time are treated as a fixed Cartesian
>>> theater on which dynamics unfold. When space and time themselves are
>>> treated as variables shaped by constraints, transport is most naturally
>>> described in terms of paths. Once the chimney geometry is assembled, motion
>>> through the column is no longer diffusive but *path-like*: parcels
>>> follow *least-action paths*, equivalently *geodesics on the assembled
>>> geometry*. The flux—mass, momentum, moisture—is not being pushed upward
>>> in a purely kinetic sense; rather, the *kinematic structure has changed*
>>> so that the straightest available paths now span the column. Kinetics still
>>> governs rates and intensities, but the phase transition itself is
>>> kinematic, determined by which paths are admissible at all.
>>>
>>> This is where reciprocity becomes important. Near equilibrium, variables
>>> appear in their familiar force–flux roles: gradients drive responses, and
>>> thermodynamic (energy-product) conjugates dominate. Far from equilibrium,
>>> some quantities switch roles and begin defining geometry rather than
>>> responding to it: momentum and vorticity stop being just fluxes and shape
>>> the column; moisture and latent heat reorganize buoyancy. In this regime,
>>> it can be more natural to think in terms of *paths between
>>> origin–destination pairs* than in terms of local forces—loosely, a
>>> handshake between where transport originates and where it must terminate,
>>> mediated by the geometry the system assembles.
>>>
>>> From that perspective, your closing question about where the remaining
>>> energy comes from can be reframed. The limiting factor is not additional
>>> energy so much as *completed geometry*. When the remaining caps are
>>> eroded and the constraint pathway connects from surface to jet, the same
>>> energy reorganizes motion efficiently because the least-action paths now
>>> exist. What looks like an energetic gap is really a geometric one.
>>>
>>> This is why your essay feels so current. In an era of data-rich
>>> forecasting and AI models that interpolate states well but struggle with
>>> regime change, your chimney construction reads as a phase-recognition
>>> framework: storms occur when constraints connect and flux begins to follow
>>> least-action (geodesic) paths through a newly assembled geometry.
>>>
>>> As a concrete aside, I’ve been playing with a few small interactive
>>> experiments inspired by our conversations that are essentially 
>>> *constraint-geometry
>>> toys* for the same ideas, partly for an upcoming class. One uses a
>>> Lattice Boltzmann flow where inlet height and boundary shape act as a
>>> static constraint geometry:
>>> https://harvardviz.live/cognitive-landscapes-group/streamtable.html
>>>
>>> Another lets you vary domain depth to see how *Bénard convection cell
>>> size locks to geometry*, often close to a 1:1 relationship:
>>> https://harvardviz.live/cognitive-landscapes-group/benard-cell.html
>>>
>>> And a third applies computer-vision filters to a timelapse of a real
>>> stream table used to teach stream meandering and post-fire debris flows:
>>> https://harvardviz.live/cognitive-landscapes-group/stream-vision.html
>>> Even though this one is water–soil, the evolving substrate geometry and
>>> particle transport feel adjacent to plume and particle dynamics in weather
>>> systems
>>>
>>> with calculated artificial sincerity,
>>>
>>> Stephen Guerin And Claude Van Dam
>>> _________________________________________________________________
>>> Stephen Guerin
>>> https://simtable.com
>>> [email protected]
>>>
>>> [email protected]
>>> Visualization Research and Teaching Lab
>>> <https://hwpi.harvard.edu/eps-visualization-research-laboratory/home>
>>> Harvard Earth and Planetary Science
>>> Landscape Architecture
>>> <https://www.gsd.harvard.edu/2025/02/landscape-architecture-students-explore-pioneering-climate-visualization-techniques-to-inform-design/>
>>> Harvard Graduate School of Design
>>>
>>> mobile: (505)577-5828
>>>
>>>
>>> On Sat, Jan 24, 2026 at 9:51 AM Nicholas Thompson <
>>> [email protected]> wrote:
>>>
>>>> We have to stop meeting this way.
>>>>
>>>> <http://goog_810206453>
>>>>
>>>> https://open.substack.com/pub/monist/p/assembling-a-chimney?r=4qtqk&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
>>>>
>>>> Come ON you guys.  There must be a FEW people interested in this.
>>>> Stephen?  Where are my pilots?  My complexitists?
>>>>
>>>> Next week will be thunderstorms and then I will stop pestering you for
>>>> a bit.
>>>>
>>>> Nick
>>>>
>>>> --
>>>> Nicholas S. Thompson
>>>> Emeritus Professor of Psychology and Ethology
>>>> Clark University
>>>> [email protected]
>>>> https://wordpress.clarku.edu/nthompson
>>>> https://substack.com/@monist
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>
>
> --
> Nicholas S. Thompson
> Emeritus Professor of Psychology and Ethology
> Clark University
> [email protected]
> https://wordpress.clarku.edu/nthompson
> https://substack.com/@monist
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