Third Laptop: Lenovo ThinkPad P14s

My previous laptop was an ASUS UX331UN, and I wrote a post when I got it 6 years ago reviewing it [LINK]. It served me well, so I figured for a while that when it came time to replace it, I would most likely get another ASUS laptop. Over most of this year, I noticed progressively more often when using that laptop that it would make an odd whirring sound, and that would be especially noticeable when it would be shutting down. This motivated me to start considering to get a new laptop. More recently, the recent US presidential election result forced the issue for me, as I was concerned that the president-elect, once inaugurated, would impose heavy tariffs on many different countries that would significantly impede global supply chains that are essential for the manufacturing of electronic goods, including laptops. Thus, I thought carefully about and made the decision to buy a new laptop. Follow the jump to see more.

Some Dangers of Confusing "Changing One's Mind" with "Bayesian Updating"

Recent conversations with friends & colleagues about probability theory reminded me of conversations with a friend of mine in graduate school about the supposed virtues of making one's own reasoning in one's daily life more systematic through Bayesian inference. The basic idea, in rough qualitative terms, is that one's belief in a hypothesis can be quantified through a prior probability, and when one observes some data related to that hypothesis, one can use the probabilities of observing that data when that hypothesis does or does not hold to update one's belief in (becoming the posterior probability of) that hypothesis based on the data. An example of quantitative & qualitative explanations can be found on the site LessWrong [LINK]. However, even in graduate school and again more recently, I realized that it is very easy for one to talk oneself into believing that one is using systematic Bayesian reasoning while actually just rationalizing one's own prior beliefs & changes in beliefs after the fact. This can be illustrated mathematically in a few ways that are not exhaustive. Follow the jump to see more.

Disability, History, Wilderness, Natural Parks, and Urban Spaces (Part 2)

This post is a follow-up to a post [LINK] about an essay by the environmental history professor William Cronon, which in turn was about the ultimately delusional, dishonest, or hypocritical (the particular adjective depending on one's viewpoint) way that many Americans & Europeans since the 19th century have viewed the ideas of "wilderness" and of being close to said "wilderness". That essay, recommended to me by a friend, strongly resonated with me because of my own ambivalence, developed over the course of the 3 years that I physically lived in California with my opinions strongly shaped by my lifelong disability and events that happened to me related to that (particularly being hit by a car [LINK]), about the ways that people in the western half of the contiguous US value "wilderness" or natural parks that don't make a lot of sense to me or don't seem coherent to me based on how most natural parks in the US as designed today exclude people with disabilities in many different ways. Because I have written notes about these and other events & thoughts in my life consistently for the last several years, I think it makes the most sense to first structure this post chronologically to lay out the development of my ambivalent mindset toward the extent to which other people have a particular positive view of "wilderness" that they highly value and then summarize these points more coherently in another section. I should warn that the chronological narration is quite repetitive in writing only because similar ideas occurred to me in marginally different from different stimuli at many different points in my life. In any case, I think that presenting the chronological narration is the most honest way to present my mindset, because "showing my work" makes it much less likely to mislead anyone (including me, as my specific memories naturally become more hazy over time) into assuming that I have felt or thought a certain way for longer than I actually have. Follow the jump to see more.

Disability, History, Wilderness, Natural Parks, and Urban Spaces (Part 1)

Over the 3 years that I physically lived in California (as I worked remotely for UC Davis remotely from Maryland for 1 year before that), I became progressively more ambivalent about the reverential attitudes that many people in California and more broadly in the western half of the contiguous US (including the Northwest, Mountain West, and Southwest) have toward wilderness and natural parks and a little bitter that such reverence could directly be connected to the way that urban spaces in this part of the US feel far more neglected and bare-bones than urban spaces in the Northeast & Mid-Atlantic do; the bitterness is related to my personal need, as someone with a disability who does not drive, for spaces with good public transit, safely walkable paths, and dense mixed-use development. I had thought about these issues more especially during this year, but thus far, I had not considered writing blog posts about these thoughts. It was only after reading the essay "The Trouble with Wilderness" published in 1995 by William Cronon [LINK], recommended to me by a friend who thought that I might be sympathetic to the arguments in the essay, that I felt compelled to further flesh out & share my thoughts about these issues in this blog.

The essay explains the dichotomies & hypocrisies inherent in primarily middle-class and rich American perceptions of wilderness and how these attitudes arose. The author explains how until the 19th century in North America & Europe, and until even later in many other parts of the world, wilderness was seen by most urban cultures as dangerous, desolate, and leading people through such desolation to despair & amorality, the latter exemplified by Rudyard Kipling's popularization in the late 19th century of the savage "jungle law". Additionally, there were roots before the 19th century of the idea of spending time in wilderness as leading to religious experiences, but such experiences were clearly meant to evoke terrified awe (consistent with the little bit that I understand about Christianity regarding its emphasis on sin & guilt) as opposed to transcendent bliss, and they were associated with people exiling themselves from society for tough religious penance, whether in the cloisters of a monastery or in a forest far from the comforts of urban civilization. The author explains that the transformation of popular perceptions of wilderness from negative to positive came in the 19th century in Europe & North America, as the perceptions of religious experiences shifted to being more uniformly positive & comforting and simultaneously as local governments started building more amenities to tame wilderness into being a natural park for tourists; I suspect that this also coincided with Friedrich Nietzsche's work on the overman (the self-realized man striving for betterment in conjunction with enjoyment of the world) being interpreted as humanity having a greater degree of control over nature and with the rise of prosperity theology in the US, but I am not yet well enough read to comment intelligently on Nietzsche's work, and in any case, the author does not explicitly make such connections or arguments. The author describes how this shift in perception was reinforced at the same time specifically in the US by the promotion of frontier myths; I was previously familiar with how the frontier myth played into those reverential attitudes in the US toward wilderness, but I didn't make the connection until reading this essay of this myth to the way that the people, including Teddy Roosevelt, who pushed this myth & related reverence for natural parks were in fact rich white American men who grew up in urban comfort & benefited from industrialization and were rewriting the frontier myth in their own image, contradicting the reality that most people, including cowboys, who worked on the actual frontier were racially, sexually, or otherwise socioeconomically marginalized by the settled WASP-dominated society in the Northeast & Mid-Atlantic. The author ties this erasure of history to how the reverence for natural parks among many Americans who grow up in urban settings took root because of the combination of feeling alienated from industrial areas (which were genuinely dangerous & polluted places to live in the 19th & early 20th centuries) and being ignorant of what undeveloped land (wilderness) is really like. The author argues that such positive perceptions are counterproductive for understanding how humanity can actually live sustainably with nature as such attitudes unduly compartmentalize "nature" as being irretrievably separate from humanity, and when combined with negative attitudes about urban environments & rigid beliefs that humanity destroys everything that it touches in nature, this leads to the logical (within its own axioms) yet incredibly depressing nihilistic conclusion that humanity should cease to exist. The author emphasizes that comfortable & positive experiences in the wilderness are too often accessible only to rich people in urbanized areas (in the sense of having the time & transportation to get to natural peaks that have a lot of physical infrastructure & amenities built deliberately, irrespective of the level of luxury of a given private tour) and that this has been true since the 19th century in North America & Europe. Finally, the author argues that it would be better to appreciate & cultivate nature closer to home even in urban settings.

My friend was correct; I did indeed feel that this essay strongly resonated with me, as I have had similar thoughts about the effects of the frontier myth on popular reverence for natural parks in the US and about the myth versus reality of human infrastructure & amenities in natural parks being marketed as "true wilderness". It is worth noting too that the word "jungle" came from the Sanskrit/Hindi word "jaṅgala", which originally meant "desert" (emphasizing the aridity) and was later expanded to refer to any place hostile to human settlement, but its application to thick forests with overgrown understories was based on a misunderstanding by British colonizers in India in the 19th century (which does not surprise me); this is relevant to illustrating perceptions in other cultures of wilderness and of shifts in perception in the 19th century, as other scholars who have published similar essays or book chapters in books or collections edited by William Cronon have showed how the shift in English away from the word "jungle", which had negative connotations, to the word "rainforest" was associated with a softening of the popular image of such ecosystems (previously seen in Europe and by white North Americans as harsh & antithetical to humanity).

I have learned over the last few years of discoveries over the last few decades about the ways that indigenous societies in America (considered as a single continent), before European colonization, shaped environments that in the 20th century were assumed to be untouched wilderness. The shaping took the form of light-touch agroforestry, silviculture (forest cultivation), and polyculture (farming many plant or animal species together in ways that are sustainable due to those species' ecologically mutualistic relations, as opposed to the monoculture prevalent in industrialized farming). Examples include the Amazon rainforest [LINK] whose shaping supported large & diverse highly-developed cities [LINK], wildflowers in the deserts of California [LINK] making clear that even the term "wildflower" in that context is a misnomer that erases indigenous American work on cultivating those plants over many generations, and the temperate rainforests of British Columbia where biodiversity was much higher due to human selection near indigenous settlements than farther away [LINK]. These discoveries came after William Cronon published his essay, so I hope that he would be aware of these more recent discoveries (as he retired from his tenured faculty position only within the last few years). Learning about these things motivated me to learn a little more, from Wikipedia, about agroforestry, silviculture, and polyculture. They seem like promising ways to promote soil fertility, biodiversity, greater resilience against pests & natural disasters, ecological health, and human health. However, it is important to recognize the tradeoffs between these benefits and the need for extensive delicate & prolonged human labor, given the implications for our current population level & standard of living in the US, instead of uncritically romanticizing such practices as better in every way than current practices of monocultures & mechanized farms, especially if such romanticism is a reflexive opposition to white dominance in the various countries of America, with that opposition in turn arising from sympathy with indigenous peoples who have been & continue to be oppressed. In particular, livestock & machines currently struggle to work well with any farming method other than monocultures, so scalability would be a problem, though I am optimistic that AI tools could be paired with more carefully-designed machines to more effectively seed & harvest more complicated crop growths in forests or polycultures.

The essay by William Cronon didn't have as much about disability or the neglect of urban spaces, which are more salient to my experiences. Thus, the extent to which the essay resonated with me because of those issues was more because my mind was filling in those gaps. For this reason, I am making this post one in a multi-part series, with this part focusing more on the essay itself and more directly related issues of indigenous land cultivation (as William Cronon's treatment of indigenous issues, which is understandable given the state of popular knowledge & research in the US in 1995, is with a sad tone as if indigenous peoples in America had been completely wiped out & existed only in the past, ignoring the ways that indigenous peoples in America continue to preserve traditional land management practices & shape their lands accordingly, even if those things happen now on much smaller scales than they did before European colonization). The next post in this series will focus more on my experiences & thoughts from the standpoints of disability & urban neglect; I may have more posts afterwards only if there is a clear need to break the material into shorter posts and there is a clean way to separate the posts by topic.

My time at TRB CATE 2024

Last month, I attended the TRB 2024 Conference on Advancing Transportation Equity (TRB CATE 2024). The conference, which was held in Baltimore, was probably the most enjoyable conference that I have attended thus far (though I have not attended that many), for the following reasons mostly related to how good it was for networking. First, the number of attendees, which was around 500, was enough for almost all of the attendees to meet new people & network effectively; the presence of fewer attendees might lead to a situation where a large percentage of the attendees know each other, leading to other attendees feeling left out, while the presence of more attendees might lead to most attendees feeling overwhelmed by the prospect of meeting attendees unknown to them and therefore discouraged to do much other than spend time with known attendees (as often happens in the TRB Annual Meetings). Second, the conference was more focused on equity issues in transportation, so attendees were very passionate about this issue, and this led to more positive vibes & more fruitful discussions (in contrast to something like the TRB Annual Meeting, where the breadth of topics means that it is unlikely for someone working on pavement engineering to have much in common with someone working on public transit network redesigns). Third, conference organizers explicitly encouraged (at multiple points during the conference) attendees to network, and the schedule (especially including the presence of multiple poster sessions structured as receptions/mixers) included a lot of time for networking instead of being packed from start to finish with highly structured sessions.

I am especially grateful to my current employer for sponsoring my attendance given that I presented a poster about work from my previous job (and, interestingly enough, this was personally my first time presenting a poster in any professional setting). It reflects well on my current employer's willingness to take chances with their employees and supporting employees' presence at such conferences so that the employer's name is more publicized and the employee gets the professional development benefits of learning & networking. Additionally, I got to meet several of my colleagues in person, which felt even better given that most of us work remotely and many of them live in different parts of the US. As this conference happened during the second week of my current job, it really felt like an auspicious way to start this job.

Starting a Job at Cambridge Systematics

I am pleased to share that I have started a job at the transportation consulting company Cambridge Systematics as of 2 weeks ago, being based out of its office in the DC area (where I grew up). (Note that this company, which was founded in Cambridge, Massachusetts in the US, is a different company than the social media data mining company Cambridge Analytica, which was founded in Cambridge in the UK and was notable for its mining of user data from social media sites for the purpose of targeted political advertising in the 2016 presidential election in the US [LINK from Wikipedia].) The company takes on clients primarily from government agencies at the federal, state, and local levels to do work on long-range planning, travel demand forecasting, big data analytics & modeling for passenger & freight transportation, transportation safety planning, public transit planning & operations, and public transit & highway asset management. I will primarily be working on projects related to shared mobility, public transit, long-range planning, and transportation safety, but I will not necessarily be restricted to these areas.

I am excited to be working at this company, as it will give me a different perspective on transportation than I had within academia. Additionally, unlike in academia where I was focused on leading & managing a few projects over a long period of time in which those projects would lead to research products but might not necessarily have any more immediate tangible impact, in this company, I will be able to work on a wide variety of shorter-term projects that will have more immediate tangible impacts for people. I got into the transportation sector to help people with disabilities, and although many of the projects at this company might not directly relate to the needs of people with disabilities, I look forward to bringing up those issues where possible & applicable, using these projects to educate colleagues & clients about these issues where possible & applicable, and having tangible (even if incremental) positive influences on transportation for people with disabilities through the completion of these projects.

Reflection: Leaving UC Davis

This week is my last week as a postdoctoral researcher at the UC Davis Institute of Transportation Studies (ITS-Davis). I am glad that I was able to transition from physics to transportation policy within the setting of academia and to particularly to so at ITS-Davis, which is renowned for having multidisciplinary transportation research & education that has included an increasing focus on issues of equity & accessibility in transportation planning. I learned so much, not just about transportation per se (which, in a professional context, was totally new to me when I started this job) but also about hiring, advising, and managing graduate students, applying for grants, managing grant-funded projects, communicating with different audiences beyond academia in many different forms, working on projects that are not just academic research ending in a peer-reviewed journal article, forming & managing relationships with stakeholders from government agencies, community-based organizations, and other organizations, and expanding my professional network on my own. This ultimately became the right time for me to leave ITS-Davis, but I will be grateful for the experiences & opportunities that I had in it and for the people that I got to work with.

Finite Determinants of Linear Operators in Continuous Vector Spaces

Recently, I wondered whether it is possible for a linear operator in a continuous (infinite-dimensional) vector space to have a finite determinant. By "continuous vector space", I mean that the identity operator can be resolved for a complete orthonormal basis \( |\phi(x) \rangle \) for all \( x \) such that \( \langle \phi(x), \phi(x') \rangle = \delta(x - x') \) as \( \hat{1} = \int |\phi(x)\rangle\langle \phi(x)|~\mathrm{d}x \). If an operator \( \hat{A} \) has continuous matrix elements \( A(x, x') = \langle \phi(x), \hat{A}\phi(x') \rangle \), then it is easy to see that the conditions for its trace \( \operatorname{trace}(\hat{A}) = \int A(x, x)~\mathrm{d}x \) to be finite are that the integral must converge, so the "function" \( A(x, x) \) must asymptotically approach 0 strictly faster than \( 1/x \) as \( |x| \to \infty \) and must at most have singularities at finite points \( x_{0} \) that diverge strictly slower than \( 1/|x - x_{0}| \). This can be seen as the continuum limit of a sum over the diagonal. However, the determinant is harder to express in this way because it involves products over diagonals & subdiagonals that are harder to express in a continuum space.

For this post, I will only consider Hermitian positive-definite operators. The conditions that I will list for which the determinant exists for such operators are sufficient for the determinant to exist, but I am not convinced that they are necessary. If such operators have an eigenvalue decomposition \( \hat{A} = \int a(x) |\phi(x)\rangle\langle \phi(x)|~\mathrm{d}x \) where the vectors \( \{ |\phi(x) \rangle \} \) form a complete orthonormal basis and the eigenvalues satisfy \( a(x) > 0 \) for all \( x \), then one can make use of the identity \( \ln(\det(\hat{A})) = \operatorname{trace}(\ln(\hat{A})) \) to say that \( \ln(\det(\hat{A})) = \int \ln(a(x))~\mathrm{d}x \). For the right-hand side to converge, then \( \ln(a(x)) \) must asymptotically approach 0 with \( x \) as \( |x| \to \infty \) strictly faster than \( 1/x \), which means that \( a(x) \) must asymptotically 1 with \( x \) as \( |x| \to \infty \) strictly faster than \( \exp(1/x) \) (which is not the same as \( e^{-x} \)), and \( \ln(a(x)) \) can at most have singularities at finite points \( x_{0} \) that diverge strictly slower than \( 1/|x - x_{0}| \), which means that \( a(x) \) must either diverge to \( \infty \) strictly slower than \( \exp(1/|x - x_{0}|) \) or drop to 0 strictly slower than \( \exp(-1/|x - x_{0}|) \). For example, \( a(x) = \exp(1/(x^{2} + x_{0}^{2})) \) fits the bill; note that this is not the same as the Gaussian kernel \( \exp(-(x^{2} + x_{0}^{2})) \). Intuitively, this condition makes sense, because for a finite-dimensional diagonal matrix as the dimension becomes arbitrarily large, the diagonal elements must mostly be exactly or very close to 1 for the determinant to not grow arbitrarily large with the dimension.

In finite-dimensional vector spaces, it is also easy to compute the determinants of triangular matrices simply as the products of the diagonal elements. (This is why the determinant is most often computed by an algorithm like first computing the LU decomposition and then taking the product of the diagonal elements of the upper-triangular matrix, which for an \( N \times N \) matrix involves \( O(N^{3}) \) operations, as opposed to the Leibniz formula involving every permutation which involves \( O(N!N) \) operations.) In infinite-dimensional vector spaces, a matrix that is triangular in a countable basis can have the determinant computed similarly as in finite-dimensional vector spaces; if an operator \( \hat{A} \) in that basis has elements \( A_{ij} \), then using the definition \( \ln(|\det(\hat{A})|) = \prod_{i} \ln(|A_{ii}|) \), the determinant converges as long as the diagonal elements \( |A_{ii}| \) are mostly exactly or very close to 1, specifically such that as \( |i| \to \infty \), \( \ln(|A_{ii}|) \) decays to 0 strictly faster than \( 1/i \). (Note that \( i \) is an integer index written in slanted font, not the imaginary unit \( \operatorname{i} \) written in upright font.) However, I am not sure how to generalize this to operators that are expressed as triangular matrices in continuous bases.

Transitioning from microscopic to macroscopic and quantum to classical regimes

I recently read two things that were of interest to me having previously worked in physics. One was an article in The New Yorker magazine [LINK], in which the author does a good job of going over the successes of mathematical modeling in the physical sciences and contrasting this with the limitations of mathematical modeling in public health (showing, for example, how many models of the spread of contagions fail when governments & societies take fast & drastic collective actions to limit the spread), the failures of mathematical models in social sciences where the outputs of those models can create feedback loops with public sentiment (for example in political polling), and the way that many people who use machine learning models in different domains expect the fancy curve-fitting of those models to represent fundamental understanding when that might not really be so. The other was a journal article published in Physical Review Letters [LINK] about how it can be possible to test the extent to which a massive (as opposed to massless) object which exhibits the dynamics of a simple harmonic oscillator and prepared in a quantum coherent state can be tested for deviations from classical behavior using a protocol that does not depend on the mass of the object (although I question this given that the protocol depends on timed measurements that depend on the frequency of oscillation, and in many physics contexts the frequency does depend on the mass as \( \omega = \sqrt{k/m}\), but this is somewhat of a quibble). These two things got me to think about something that I realized I never got out of many years of formal undergraduate & graduate education in physics. This can be illustrated with the following example.

In introductory physics classes that focus on Newtonian mechanics, a prototypical problem involves a block, modeled as a point mass, sliding (with or without friction) down a fixed triangular incline in the constant gravitational field of the Earth. In the context of those classes, instructors will be careful to note that this is merely a model, and corrections could come from the inclusion of the variation of the Earth's gravitational field & surface curvature, the technical possibility of moving the triangular incline (which must be much more massive than the block in question), the shape of the block, variations in the touching surfaces, air resistance, et cetera. In later classes, instructors may point out corrections due to special relativity (i.e. the speed of light) and general relativity (as it relates to the Earth's gravitational field).

However, in later classes about quantum mechanics & statistical mechanics, instructors explain how different the models are from models of Newtonian mechanics at human scales, but they often promise that appropriate treatments of aggregates of microscopic constituents can consistently recover results from Newtonian mechanics, yet this promise is almost never fulfilled. In particular, wavefunctions that describe pure states of single microscopic particles are quite far removed from the simple dynamical variables describing blocks on inclined planes, although statistical mechanics can probabilistically describe the solid states of the block & inclined plane as well as the gaseous state of the surrounding air, it is not usually extended to describe the dynamics of the block sliding down the inclined plane. For example, if a block sliding down a fixed inclined plane of horizontal angle \( \theta \) in a uniform gravitational field is described as having equations of motion \( m\ddot{x} = mg\sin(\theta) \) where the \( x \)-axis is defined as pointing downward parallel to the slope of the inclined plane for increasing \( x \) and the \( y \)-axis points outward in the normal direction from the inclined plane, then I wish to see corrections of the form \( m\ddot{\vec{x}} = \sum_{\mu = 0}^{\infty} \sum_{\nu = 0}^{\infty} \hbar^{\mu} k_{\mathrm{B}}^{\nu} \vec{f}^{(\mu, \nu)} \) where the lowest-order term is \( \vec{f}^{(0, 0)} = mg\sin(\theta)\vec{e}_{x} \). I have never seen these sorts of quantum or statistical corrections to Newtonian equations of motion in simple (in the context of Newtonian mechanics) systems. Similarly, it is rare to see how quantum or statistical mechanical systems can, in appropriate limits, reproduce classical systems; I can only think of the quantum coherent state of the simple harmonic oscillator as well as how the Moyal bracket in the phase space formulation of quantum mechanics reduces to lowest order in \( \hbar \) to the Poisson bracket, and in the latter case, intuitive construction of the quantum phase space quasiprobability function is made more difficult (compared to construction of a classical phase space probability density function, as I did in a post [LINK] from a few years ago) by the fact that unlike the classical phase space probability density function, the quantum phase space quasiprobability function cannot be arbitrarily localized in phase space, it can take on negative values for certain wavefunctions, it is compressible in phase space with respect to its own evolution over time, and it is not obvious how it should look for a system of many particles constituting a macroscopic object like a block (in contrast to a classical phase space probability density function, which for such a system could just be a product of Dirac delta functions localizing each microscopic constituent to a point in phase space).

These considerations reminded me of a discussion I had last year with friends from college, who also did course 8 (physics) with me. We came to a consensus that while people who do not become physics majors should, as usual, get exposure to Newtonian physics and the basics of electricity & magnetism, people who become physics majors should have a curriculum over 3-4 years that exhibits a sensible conceptual progression. In particular, after seeing Newtonian mechanics, such students should then be exposed to Lagrangian & Hamiltonian formulations of classical mechanics. The Lagrangian formulation of classical mechanics should then be used to develop intuitions about mechanical waves, which in turn can lead to introductions to classical field theory and development of classical electromagnetic theory as a rich example of a classical field theory. (I would also personally recommend using the introduction of mechanical waves to introduce the linear algebraic treatment of waves and then reintroduce the linear algebraic treatment of waves into the treatment of linear classical field theories in general & linear classical electromagnetic theory in particular.) The Hamiltonian formulation of classical mechanics should then be used to develop intuitions about probability distributions in classical mechanics, which in turn can be used to develop intuitions about statistical mechanics. Optionally, at this point, the Hamiltonian formulation of classical mechanics can also be used to develop intuitions about nonlinear dynamics & chaos theory, but while this is good for the broader education of physics students, it is less immediately relevant for the introduction of quantum theory to come soon after (because quantum mechanics is linear). Finally, only after these things happen should quantum theory be introduced, such that there are clear connections of the wavefunction formulation of quantum mechanics to mechanical waves, the phase space formulation of quantum mechanics to classical phase space probability distributions, and the linear algebraic framework of quantum mechanics to linear algebraic treatments of classical field theories (including linear classical electromagnetic theory); this will ensure that students understand how ideas like superposition, interference, rotation through a Hilbert space, statistical uncertainty, and related ideas are not unique to quantum mechanics (which is unfortunately too often a consequence of the way quantum mechanics is typically introduced in undergraduate curricula, at least in the US). We also came to a consensus that in each course, there should be clear explanations of what prototypical systems are analytically solvable, what prototypical systems are not analytically solvable, and why (in each case).

Progression of Winter Storms across the Contiguous US

This winter has featured many winter storms over the contiguous US that have swept from the west coast to the east coast. In previous posts, I have discussed basic intuitions for why different climates occur in different regions [LINK], my assessment of the deficiencies of the Trewartha climate classification system [LINK], what I would change about the Trewartha climate classification system [LINK], how my proposed changes to the Trewartha climate classification system can be applied to understand what climates occur where in middle latitudes [LINK], why popular understanding of the effects of the Gulf Stream over the Atlantic Ocean on the climate of Europe is incorrect in many ways [LINK], and why different climates occur in coastal locations on different coasts at different latitudes [LINK]. These posts have suggested, among other things, that many winter storms on the east coast of the US would come from warm moist air from over the Gulf of Mexico or mild moist air from over the Atlantic Ocean colliding with cold dry air over the continent, but these collisions would be somewhat more sporadic because the prevailing westerlies, which would have dumped moisture primarily over the west coast, would be weak & dry by the time they reach the east coast. Thus, it is somewhat surprising to me that these winter storms seem to be driven by the prevailing westerlies over the continent. The following is my attempt to intuitively explain, based only on sea-/surface-level temperatures, air pressures, and air flows, why this happens. Again, I am not a trained climatologist or meteorologist; I can't guarantee that this information is accurate, and I can only say that my intuitions seem through my limited understanding to align with superficial aspects of more detailed explanations.

Why this happens in North America

This happens in North America mainly because of the arrangement of landmasses & seas/oceans. In the winter half of the year in North America, the subtropical ridge is strongest around 30 degrees in latitude (north of the equator) to the west of the continents of North America in the Pacific Ocean & of Africa in the Atlantic Ocean. Prevailing westerlies generated by the subtropical ridge over the Pacific Ocean bring moisture to the west coast of the US and turn clockwise due to the Coriolis force, meaning that around the time the prevailing westerlies reach the Rocky Mountains, they may have turned more toward the Gulf of Mexico, though this is not guaranteed to happen every time. In doing so, the prevailing westerlies, by this point colder & drier, can pick up warm moist air from the Gulf of Mexico. This clockwise turn by the Coriolis force is reversed within the Gulf of Mexico by southerly winds coming from air coming clockwise off of the subtropical ridge over the Atlantic Ocean, so this newly warmed & moistened air turns toward the east coast of the US, bringing moisture there before moving east & turning clockwise (again due to the Coriolis force) over the Atlantic Ocean toward Europe. This is how the subtropical ridge can function like a conveyor belt of moisture. Essentially, the continent of North America & the Atlantic Ocean are both narrow enough (with respect to the ranges of longitudes), and the Gulf of Mexico with warm water is favorably placed, to ensure that this can happen. That said, the prevailing westerlies will not always turn clockwise enough to go over the Gulf of Mexico and then counterclockwise enough to go over the east coast of the US, which is why the prevailing westerlies are more likely to bring moisture to the west coast of the US but only sporadically do so for the east coast of the US.

I should clarify that the storms that sweep across the contiguous US are often localized highly mobile systems of low pressure. They internally turn counterclockwise, but the motion of the centers of these storms is affected by the aforementioned prevailing westerlies coming from the subtropical ridges over the eastern Pacific Ocean & Atlantic Ocean in the northern hemisphere.

Why this does not happen in other continents

This does not happen in other continents because of unfavorable arrangements of landmasses & seas/oceans. I will give details for each continent in turn.

Eurasia

In the northern hemisphere, Eurasia & the Pacific Ocean are much wider (with respect to the range of longitudes) than North America & the Atlantic Ocean, so the conveyor belt effect is lost there; this point is amplified by the much stronger system of high pressure forming due to the settling of cold dry air over the continent in the winter half of the year. Additionally, the Indian Ocean (which would supply warm moist air) is not far enough from the equator and there are too many mountains in between for the Indian Ocean to function analogously to the Gulf of Mexico.

South America

The east coast of South America in the middle latitudes would refer to the east coast of Argentina. There is no major body of water immediately to the north (toward the equator) of Argentina analogous to the Gulf of Mexico, so although the subtropical ridge over the Atlantic Ocean to the west of South Africa is somewhat close by, the prevailing westerlies are largely dry by the time they reach Argentina and have no way of replenishing moisture & warmth before reaching the east coast.

Africa

In the southern hemisphere, Africa does not extend much into the middle latitudes. Thus, this issue is moot there.

Oceania

Oceania does not extend much into the middle latitudes and is surrounded by much more water, keeping the temperatures more moderate anyway (so there is less opportunity for big temperature contrasts between land & water to form, which would lead to stronger winter storms). Additionally, the Pacific Ocean in the southern hemisphere is much wider (with respect to the range of longitudes) than the Atlantic Ocean in the northern hemisphere, so the conveyor belt effect is lost there.

My time at the TRB 2024 Annual Meeting

Last month, I attended the TRB 2024 Annual Meeting. The conference, which was held in DC, was a lot of fun. The graduate student researcher working with me was able to present our work as a poster. Additionally, although I didn't meet as many people whom I had not met before, this was a good opportunity for me to deepen connections with people with whom I had connected more briefly in past conferences in person or remotely. In particular, these included people working like me at the intersection of transportation & disability as well as people working in the autonomous vehicle industry. Strengthening connections with people in the former group was especially important to me because of the relevance of my work, how few of us there are in the US, and being able to feel like I am part of a group of like-minded academic researchers (given that I lead so much of my work essentially alone in the context of academic researchers). Strengthening connections with people in the latter group was important to me because of recent turbulence in the space of autonomous vehicles and the need for consistent pushes for inclusion of people with disabilities as users of such vehicles.

Variations of Coastal Monsoon Climates with Latitude

I have learned about different aspects of the Earth's climate and shared what I've learned over 5 posts in 2022, including basic intuitions for why different climates occur in different regions [LINK], my assessment of the deficiencies of the Trewartha climate classification system [LINK], what I would change about the Trewartha climate classification system [LINK], how my proposed changes to the Trewartha climate classification system can be applied to understand what climates occur where in middle latitudes [LINK], and why popular understanding of the effects of the Gulf Stream over the Atlantic Ocean on the climate of Europe is incorrect in many ways [LINK]. Ultimately, my learning about different aspects of the climates of the world was done with the personal aim of understanding why cities on opposite coasts of the US at the same latitudes have such different climates, with those on the west coast having characteristically mild to hot arid rainless summers & cool (but not cold) rainy winters and those on the east coast having typically warm or hot humid rainy summers & cool or cold slightly drier but still rainy or snowy winters. I did learn about that to a great extent, but as I learned more, I started to question whether my previous intuitions (from when I started learning about different climates) were correct. Follow the jump to see more and the resolution to this problem. Again, I am not a trained climatologist or meteorologist; I can't guarantee that this information is accurate, and I can only say that my intuitions seem through my limited understanding to align with superficial aspects of more detailed explanations.