707 Matching Annotations
  1. Nov 2019
    1. elongated gyre. Rossby waves of very low frequency are active in setting up this western extension of the circulation

      beta plume image

    2. Forcing and β-plumes.

      beta plume

  2. Oct 2019
    1. FIG. 7. The horizontal distribution of (a),(b)v, (c),(d)vD, (e),(f)vQ, and (g),(h)vaqgat 500 hPa on day 0. Thewhite dashed contour lines denote a heavy-rainfall area (day 0 precipitation greater than 20 mm day21in ECN andgreater than 12 mm day21in the SUS

      Composite omega patterns add up to the total pretty well, on average

    2. To separate thesesignals, we decompose each meteorological variable intoan EPE-related background component (means fromday213 to day24 and from day14today113) and anEPE-related synoptic-scale component (the differencesbetween the total and the background component)

      This should have been mentioned sooner, this is like the 10th use of the word "background", and "synoptic"

    3. stronger coupling

      stronger coupling -- there it is

    1. The expression for can be cast in various forms that, although mathematically equivalent, are open to markedly different interpretation.

      QG omega equation: all forms

    1. sea ice

      sea ice is in ocean surface collections (hourly and monthly)

    2. MERRA-2 data collections

      2D datasets may be browsed at https://goldsmr4.gesdisc.eosdis.nasa.gov/dods/ 3D datasets at https://goldsmr5.gesdisc.eosdis.nasa.gov/dods/

      To use a data collection, you must make a NASA Earthdata account. You can put your USERNAME and PASSWORD in the URL like this: dods://USERNAME:PASSWORD@goldsmr5.gesdisc.eosdis.nasa.gov/dods/M2I3NVAER

      Enter that in the Data Choosers tab, General-->URLs, URL box in IDV's Dashboard. Or simpler software Panoply will accept it.

      Or, if you use the plain URL, IDV or Panopy or other software should prompt you for credentials.

    3. nst1_2d_int_Nx

      KE budget

    4. TableofContents

      TOC

    5. Budgets

      Budgets appendix

    1. the nature of turbulence isstrongly modulated by heat fluxes and drag (momen-tum fluxes) at the surface.

      back to a more narrative exposition, after the formalism-heavy section 9.1

    2. vertical profile of horizontal wind speed

      winds in the "log layer"

    3. profile of the variance ofvertical velocity

      dimensionless profile of turbulence

    4. t*is of order 15 min,which corresponds to the turnover time for the largestconvective eddy circulations, which extend from theEarth’s surface all the way up to the capping inversion

      turnover timescales

    5. Obukhov

      the height above the surface at which mechanical turbulence gives way to buoyant turbulence

    6. aero-dynamic roughness length, z0

      roughness lengths: always surprises me how small they are

    7. kinematic momentum fluxes

      again with the KINEMATIC fluxes (remember some question confusions in the exam?)

    8. friction velocity,

      friction velocity: the surface stress is the defining scale

    9. Deardorffvelocity

      Deardorff: surface heat flux is the defining scale

    10. roth-order closure. In thiscase, neither Eqs. (9.10) nor (9.11) is retained. Instead,the mean flow state is parameterized directly. Thisapproach, called similarity theory

      Zeroth order closure directly assumes the large scale solution

    11. gradient-transfer theory, K-theory, eddy-diffusivitytheory, or mixing-length theory.

      A common first-order closure: down-gradient flux

    12. Reynoldsaveraging—an applied mathematical method thateliminates small linearterms such as those associatedwith nonbreaking waves, but retains the non-

      Reynolds averaging

    13. nalogy with radiative fluxes in theexpression for radiative heating rates (4.52)

      CONVERGENCE of the statistical heat flux is a heating rate by the scales being treated statistically

    14. inematic heat fluxandhas units of (K m s1

      kinematic heat flux: just the T times velocity part

    15. imensionless Richardson number,

      dimensionless Richardson number: m^2/s^2 divided by m^2/s^2

    16. Laminar flow becomes turbulent when Ridrops below the critical value Ric0.25

      Critical richardson number

    17. Kelvin-Helmholtz (KH) instability

      shear instability, even when there is some static stability

    18. dvectionof TKEby the mean wind,Mismechanical generationof turbulence,Bis buoyantgeneration or consumptionof turbulence,Tris trans-portof turbulence energy by turbulence itself, and is the viscous dissipation rate.

      treating TKE as a continuous scalar that is advected, generated by shear, generated by buoyancy, diffused, and dissipated.

    19. ecific kinetic en

      specific KE, treating TKE as homogeneous

    20. covariance

      covariance is a flux, if one of the variables is a velocity and the other is a transportable property

    21. for any half-hour period, there is a well-definedmean temperature and velocity; the range of temper-ature and velocity fluctuations measured is bounded(i.e., no infinite values); and a statistically robust stan-dard deviation of the signal about the mean can becalculated. That is to say, the turbulence is not com-pletely random; it is quasi-rand
    22. behomogeneous

      stationary, homogeneous, isotropic -- but all defined (?) by the time-domain standard deviation here

    23. Turbulence is a natural response to instabilities inthe flow—a response that tends to reduce the insta-bility. This behavior is analogous to LeChatelier’sprinciplein chemistry.

      LeChatelier's principle, or a general law of systems even? https://en.wikipedia.org/wiki/Le_Chatelier%27s_principle

    24. luctuating

      fluctuations or deviations from the mean. In the time domain, we called these anomalies.

    25. KE cas-cades through medium-size eddies to be dissipated bymolecular viscosity at the small-eddy scale

      The cascade (in 3D turbulence)

    26. Scales of horizontal motion

      Scales of motion named

    27. Exercis

      Chapter 9 exercises

    28. The Atmospheric BoundaryLayer

      Chapter 9

    1. Initial Evaluation

      evaluation

    2. nalysis tendency of vertically integrated total water

      Analysis tendency of water

    3. TOA radiative fluxes

      Net radiative balances

    4. Observational Data Count

      Obs data count

    5. ivTABLE OF CONTENTS

      TOC

  3. Sep 2019
    1. local and non-local energy diffusion across the wavenumbers, with all Fourier modes feeling a sort of thermal bath described by a Gibbs-ensemble

      another idea of saturation or equilibrium

    2. based on the idea that only the mean flux, ϵin<math><msub is="true"><mrow is="true"><mi is="true">ϵ</mi></mrow><mrow is="true"><mi is="true">i</mi><mi is="true">n</mi></mrow></msub></math>, plays a statistical role in the inertial range [2]. In such a case, Kolmogorov derived the celebrated −5∕3<math><mo is="true">−</mo><mn is="true">5</mn><mo is="true">∕</mo><mn is="true">3</mn></math> power law

      yes it starts with the classic

    3. Up until now, all manipulations leading to the global and to the scale-by-scale energy balances (8) and (15)–(17) are exact. In order to proceed further we need to make some assumptions.

      framework only, so far

    4. The presence of a cascade requires that there exists a range of scales where all terms on the RHS of (15) are vanishingly small.

      peculiar logical / lexical construct

  4. Aug 2019
    1. The prescribed radiative cooling rate is at the default value (−1.5 K/day) in the first control simulation (BASE). It is reduced by half to −0.75 K/day throughout the troposphere in HEAT

      Small domain, so little cooling, must be quite intermittent

    2. 96 × 96 grid points with a horizontal spacing of 2 km. There are 50 vertical levels

      So coarse and small for these days...

  5. Jun 2019
    1. Equation (6) illustrates that the magnitude of effective buoyancy depends on the local second derivative of B, rather than the simple sign and magnitude of B

      Ohh 3D inverse Laplacian of HORIZONTAL Laplacian

  6. www.mv.helsinki.fi www.mv.helsinki.fi
    1. It cannot penetrate when something is taking its place

      Elicit and then teach to the misconceptions, I have heard in pedagogy advice that seems sound.

    2. defense of its members,

      Just funding cuts, or idea-based harassment? Some history I should hear about over a beer someday.

    3. long-enduring disintegration of science into specialties,we need to re-integratescientific reasoninginto a new holistic worldview.

      THERE IT IS! The zeitgeist hunger as I see it: Re-synthesis of reductionism's bits. With necessary and actually very useful approximations (essentials, not fundamentals!). Maybe the information age helps make it possible, and "semi-objective" (interpersonally shareable) if not unique (dominant Master Narratives). Infodynamics bookkeeping tools and concepts help. Multivocality of unifying narratives is an increasingly undeniable facet of the greater truth of the world.

    4. it is a profoundly human activity,

      yes, with the profound as well as the human being important words

    5. will be free from this struggle

      'twas ever thus, and ever thus shall be!

    6. problems of science are not so much in Nature itself but in our own thoughtsabout Nature

      Yes. Denying ourselves the power of causality narratives, especially high-level ones like (nonunique) teleology stories, because they are misinterpreted as attribution of those to nature.

    7. the dispositionof contemporary science itsel

      yes contemporary, different from modern.

    8. ebulousness of modern science

      this word modern needs unpacking into sub-schools of silliness

    9. he nature and necessity of explanations, and, above all, the fundamental,but often unrecognized,obstacles toobtaining them

      More reading I ought to do... when will I ever find time to write?

    10. Edmund Husserl

      Die Krisis (Belgrade 1936)?

    11. enaissance magic

      Alchemy

    12. odern science has convinced us that nothing that is obvious is true and that everything that is magical, improbable, extraordinary, gigantic, mi-croscopic, heartless, or outrageous is scientific

      modernity was radical in its 1920s day, now is an edifice or institution to be transcended

    13. the true nature of causality outside of my range

      Have you seen Judea Pearl's nice book summarizing how Statistics was contrived to hide the question, essentially by bullies? https://g.co/kgs/dHeCCK

    14. not random but teleological,yet without a presetgoal

      teleology is a strategy to better use the frail human mind (an aspect of epistemology), not a characteristic (or not) of nature!

    15. Everything is evolving

      Yes but most of the action is in cyclostationary orbits we can learn a lot from, and perhaps then apply to the slight secular trends.

    16. Given that todaythatfundamental scientific questions about time, space, matter, life, and consciousness remain unanswered, more precise measurements willnot help. Instead, weneed tounearth and reexaminethose of our beliefsfrom which the questions stem.

      awkward, has grammatical error - reframe

    17. the worldview

      "one's worldview", or "our chosen worldview"

    18. Mathematics is the language of expressing natural laws, but a correct syntax, as such,is noguaranteeofthe truth of a script

      Indeed- I consider it an accounting system. Surprising implications can be derived from familiar sometimes, but a sequence of equalities ("derivation") often just looks like 0=0 repeated again and again to prop up a narrative sometimes with some sleights of hand.

    19. Thequantumis understood as the elemental constituent of everything that exists. It is postulatedthat thiscould be the underlying reason why all processes are essentially alik

      Really, is that the key? Reeks of old-school "modern" physicist mindset.

      Isn't it a higher level law of order in time (infodynamics), not the identicality of the hyper-reductionist's "atom", that makes the macro-regularities?

    20. guides us through an examination

      is a guided examination (or litany?)

    21. Current problems of physics may well imply thatwe areon the verge ofrevealingeye-opening new insights

      vague. Omit?

    22. he theories themselves influence

      "filter bubbles" are the new "turtles all the way down"!

      Bayesian filter divergence (nonuniqueness) might be the infodynamic paradigm?

    23. I do not pretend to master modern science in all of its complexity

      Nor can any human any more, which is part of the profundity of the times. We need "statistical infodynamics" (and rational inattention theory from economics) because nobody can ever again know it all.

    24. nature this

      nature OF this

    25. the book draws oncommon sense, onpractical wisdom, and oneveryday experience

      Yes, the outdoor peasant mind meeting the stifling temple mind of entombed-truths science!

    26. Thermodynamics is considered a uni-versal theory

      Is it a special case of Infodynamics, with entropy = -information?

    27. this theory of nonequilibrium thermodynamics

      mention this sooner, before the excitable praise to the novelty? I was inspired by a Prigogine book back in high school before I could understand it.

    28. understanding and insight. In fact, this newly revealednatural law of time makes sense

      But did it require a slight redefining of "understanding", "sense", and "insight"? Post-modern, without throwing away the power of the modern? I shall read on.

    29. Why is evolutionary theory notformulated as a law of physics?

      YESSS!

    30. thoseprinciples of physicsthat

      how principles of physics might

    31. probing and

      and probing

    32. Can we discern the whole?

      There we go! Can we still see through the mesh blinders of reductionism?

    33. explained by the fact that everything that exists is comprised of the same elemental constituents, quanta of light

      Ugh, reductionism run wild. I thought this book would be about the re-synthesis, a gesture toward a useful and rigorous science of patterns and entities, building girders strong enough to perch above reductionism's abyss of microdeterminism as the be all and end all of scientific description?

    34. As surprising as it maybe, common patterns are ubiquitous

      Quite an artifact of an authorial mind deep in unfamiliar terrain, here in paragraph 2. Isn't the second phrase a tautology? I guess "common" has not been defined, and is used in an uncommon meaning here (to mean parallelism between distant layers of abstraction). If this is as true as tautology, who could find it surprising?? What mindset is presupposed of the reader here?

    1. the principle of least action does not, in itself, describe the trajectory of a planet or the course of a river, the free-energy principle will need to be unpacked carefully in each sphere of its application

      principle of least action in information theory

    2. the time-average of free energy, which is called “action” in physics

      free energy and action

    3. “reduce surprise,” you “live longer.”

      but "that which does not kill me makes me stronger"

    4. the aim of philosophy “is to understand how things in the broadest possible sense of the term hang together in the broadest possible sense of the term.”

      i drink, and i know things

    5. we harvest sensory signals that we can predict

      confirmation bias is our nature, ugh

    6. Dark-Room agents can only exist if they can exist. The tautology here is deliberate, it appeals to exactly the same tautology in natural selection (Why am I here? – because I have adaptive fitness: Why do I have adaptive fitness? – because I am here).

      like the Rotunno-Klemp-Weisman theory of squall lines: it doesn't predict them, it explains them if they happen to exist

    7. surprise is also the negative log-evidence for the model entailed by the agent

      defining surprise in agent terms

    8. the intriguing link between informational uncertainty and physical disorder. Mathematically, they are identica

      entropy

    9. Shannon set out this framework, with its beautifully simple, core idea of equating generation of information with reduction of uncertainty (i.e., “surprise”).

      shannon summary

    1. see Potochnik2017on the role of “rampant andunchecked” idealizations in science

      rrowrr

    2. productively argue about theaptness of modeling tools for their intended purposes

      aptness

    3. the boom of researchrelying on FEP just highlights there is room for deductive systematization and physics-first approaches in life science theorizing

      it's all good if activity and thinking is stimulated

    4. FEP is like all other scientific principles in being truth-apt

      apt to be true?

    5. whatevertautologies do, they don’t explain

      tautologies don't "explain"

    6. free-energy theorists attempt an enormous vari-ety of derivations from FEP. In that sense, FEP may be said to play the role of a firstprinciple

      a putative or postulated principle perhaps

    7. just a characterization

      just a characterization (that is, an accounting tool that is useful for some purposes)

    8. The tautology here is deliberate

      tautology, the anthropic principle

    9. the whole point of[FEP]istounifyalladaptiveautopoieticandself-organizingbehaviorunderonesimpleimperative; avoid surprises and you will last longer [...]

      or in other words the survivors we see because they last longer have avoided nasty surprises

    10. atautology,astipulative definition

      stipulative

    11. Free-energy theorists may simply reject the idea that adequate scientific repre-sentation of life science phenomena must target the component parts and operationsand internal organization of mechanisms.

      back to what comprises "explanatory power"

    12. Mechanists wouldtherefore conclude that FEP lacks explanatory power

      explanatory power for mechanists is something a teleological principle does not comprise

    13. constrain the possible structures and configurations that might perform those oper-ations; but they are equally keen to emphasize that structural decompositions intomodeled components within a mechanism can also constrain the possible functionsand configurations performed

      like the maximum entropy production principle might constrain either the thing that does the job, or how well the job can get done

    14. By redescribing systems’capacities in terms of their functional properties and dispositions, functional analysisoffers scientists a way to tackle the target phenomenon. But it also offers the potentialfor prediction and explanation

      sounds like my JMSJ paper topic

    15. individuated

      what does individuated mean?

    16. whether and when functional accounts of bio-logical phenomena suffice

      does teleology suffice

    17. explanatory power

      If only we could define THIS! (Explanatory Power to whose satisfaction?)

    18. apparently at odds with mechanists’ emphasisthat life science phenomena should be explained by appeal to mechanisms, and thatadequate strategies for explanation in the life sciences should involve decomposingthese mechanisms into component parts and operations

      reductionism vs. teleology

    19. Stipulative definitions, likelivingsystemasanattractingsetinaphasespaceoradaptivebehaviorasbehaviorthatreducesaverage surprise, provide the bridge principles that connect theoretical predicates fromdifferent disciplines, and that allow free-energy theorists to attempt the deductionsneeded to claim reductions of other principles to FEP

      yes stipulative definitions, nice word for self fulfilling definitions?

    20. free-energy
    21. phylogenetic and ontogenetic trajectories

      In biology, ontogeny recapitulates phylogeny. In organizing convection, phylogeny IS ontogeny.

    22. Since attracting sets are subsets of classically predefined phase spaces,organicists deny the assumption that all living systems’ characteristic behavior isaptly represented with an attracting set

      Yes if time is long, then the state space (Markov blanket) expands to include all other organisms (in lifetime) and species (in evolutionary time), and we are back to the game theory of contingent history.

    23. historicallygrounded

      yes time matters, lifetime and evolutionary time

    24. recognition) densityq(Ψ,μ)

      Is this a mapping? (is that what density is?) between the unknowable \Psi and some smaller (perhaps categorical recognition) perception vector \mu? But why isn't that just encompassed in M?

    25. nternal parametersμ

      μ was not defined. Also angle brackets <> (subscript q) are not defined.

      Is the word "variational" carrying a load here? Do I need to study that word?

    26. likelihoodp(D=dt+1|Ψψt+1,Aat,M) and prior densityp(Ψψt+1|M), which jointly specify the generativemodel “entailed by” the system’s phenotype

      phenotype here is used very broadly to include M (which is not indexed as a function of time)

    27. unsurprising

      Minimized surprise is the steady state condition for nonequilibrium systems perhaps. Complacency?

    28. the surprise of sampling some sensory outcome (or experiencing somesensory state) can be represented with the negative log probability:−logp(D=dt+1|at,M). This measure quantifies the improbability

      "surprise" is a nice term for improbability, or I like "missing information" from A Farewell to Entropy book.

    29. “are confined to a bounded subset of states and remain thereindefinitely”

      but the Markov blanket grows and grows with time for systems with memory, redefining the state space actually, so this statement ending in "indefinitely" sounds way too woolly to be satisfying.

    30. its epistemic status is unclear

      polite doubt about free energy as a master scalar principle for everything

    1. As a necessary condition for the reaction to occur at constant temperature and pressure, ΔG must be smaller than the non-PV (e.g. electrical) work, which is often equal to zero (hence ΔG must be negative

      Sign of dG determines if a thing will happen spontaneously

    1. Raymond Hide, whom I had met by chance during the last year of my PhD, told me of recent work by climatologist Paltridge [12] showing that the properties of Earth’s climate could be derived using the Principle of Maximum Entropy Production!

      maximum entropy production principle - early citation

    1. tropical convection induces a stationary equilibrium distribution.

      " convection induces a stationary equilibrium distribution." ?

      Induces?

    1. In addition, this transition condition for the cellular automaton adds a stochastic component in its evolution, compared with a strictly Boolean ruleset

      cumulus game of life stochastic game

    1. onditioning for the common history byreplacing time delayed mutual information by a variantof Eq.(4) resolves this aparent paradox.

      eliminate synchronization (infinite velocity of information flow)

    2. xample, take a bi-variate time series (seeFig. 3) of the breath rate and instantaneous heart rate ofa sleeping human suffering from sleep apne

      sleep apnea example. Heart rate ramps up to gasping episodes.

    3. much of the common informa-tion is due to the common history

      causality is tricky to isolate

    4. Either one can study transfer entropy as a function of theresolution, or one can fix a resolution for the scope of astudy.

      Here is the way I have wanted to measure macro-entropy without having it dominated by the micro (thermodynamic) entropy.

    5. transfer entropy behaves like mutual information.If computationally feasible, the influence of a known com-mon driving forceZmay be excluded by conditioning theprobabilities under the logarithm toznas well

      mutual information between including vs. excluding dependence of p on other processes

    6. This is the central concept of this paper

      transfer entropy, a measure of the information in a conditional dependence (like Granger causality?)

    1. preferred path forward for advancing physics in EMC models is one in which innovations from the community are socialized and introduced through strong collaborative working relationships between developers/scientists at EMC and thosein the broader community

      ok, but how?

    2. In the numerical modeling community it is not uncommon for developers to be confounded when model innovations that look better “on paper” -or seem to perform betterin different modeling frameworks –do not increase overall skill when implemented in complex, highly nonlinear modeling systems

      indeed

    3. their report and recommendations

      permissions denied, requested access

    4. MEG provided their analysis

      permission problems accessing this

  7. May 2019
    1. GCM) is nudged towards 6-h reanalyses. The nudging is applied either in the whole tropical band or in a regional summer monsoon domain

      a monsoon nudging domain

    1. using the nudging/relaxation methodology first outlined in Klinker and Sardeshmukh (1992) and used subsequently by others including Douville et al. (2011) and Hall et al. (2013)

      nudging references

    1. shallow CAPE measures the integrated buoyancy for undiluted parcels only up to the midtroposphere

      This gives control of the convection to lower troposphere (bottom heavy) adiabatic cooling by the 2nd vertical mode of w, but is not labeled an "inhibition" effect. Instead, a QE story about these simple algebraic equations' closure was preferred.

  8. Apr 2019
    1. sensitivities have been examined

      Holy moly that's a heap of citations

    2. standard deviation equal to current uncertainty estimates for radiosonde vertical profiles

      Here is the key: radiosonde "uncertainty" sets the magnitude, while vertical structure is here

    3. Changes to MP produce a similar order-of-magnitude response in convective hydrologic cycle, dynamics, and latent heating as changes to IC

      How can microphysics and thermodynamics be compared, if the changes are incommensurate (different units, etc.)?

    1. Modes of vertical thermodynamic and wind variabilityover the Maritime Continent

      tropical atmosphere vertical structure variability, see also (for representativeness error also) Fig. 11 of Mapes Ciesielski Johnson

    2. Non-rotated PCs (left panels) and rotated components(right panels) for all variables at the Ranai upper-air sounding site.

      About 5 DOFs in the vertical for all fields

    1. Yet a few features appear to be robust, such as the presence of layers of mass convergence at the top of moist layers, extrema of the area-averaged vertical velocity at the top of the subcloud layer and in the midtroposphere, and minima around the trade inversion near 2 km.
    2. The degree of agreement is rather good for this case, surprisingly so actually.

      rather an understatement, perhaps !!

    1. Horizontal wavenumber buoyancy flux spectra

      moist (RH50): all scales convect

    2. Any comprehensive theory for the mesoscale spectrum should account for the presence of intermittent but very broad band forcing of the mesoscale by latent heating

      all scales convect

    3. resonant triad interaction of two IGWs with a balanced vortex mode, in which the vortex catalyzes the transfer of energy from large- to small-wavelength IGWs

      very specific mechanism

    4. Moist processes primarily enhance the divergent part of the spectrum, which has a relatively shallow spectral slope that resembles −

      moist compared to dry

    5. scenario 2 would require a reconsideration of the cascade theory, as it implies that direct forcing of the mesoscale is important

      yes

    1. the authors have been unable to develop a simple explanation for why a −5/3 slope develops in the mesoscale range

      still a mystery

    2. forcing of and acts at all the scales, and unlike the classical turbulence theory, there is not a well-defined inertial subrange here. As also suggested by Waite and Snyder (2009), it is possible that the mesoscale kinetic energy spectrum does not arise from a cascade process.

      All scales convect, no inertial subrange or scale-local cascade is indicated. So where does -5/3 come from?

    3. spectrum budget terms

      Panel e) shows that all scales convect. It's such an initialized problem that it is hard to say more, the net budget is so positive.

    4. The buoyancy production generated by moist convection, while mainly injecting energy in the upper troposphere at small scales, could also contribute at larger scales, possibly as a result of the organization of convective cells into mesoscale convective systems.

      A weak statement of the result as I see it, which is that all scales convect.

    1. instead of an error cascade from smaller to larger scales (upscale growth), errors in more complex flows tend to grow uniformly at all scales (up-magnitude growth

      all scales convect perhaps

    2. Fig. 13. (a),(b) Spectral error growth in the predictability experiment compared with (c),(d) spectral error growth in idealized and turbulence

      Classic

    1. Figure 1 illustrates some of the factors controlling the NGMS

      A useful schematic (is the vertical axis p or z?)

    1. As in Fig. 3b, but

      Is it so hard to label or repeat a cue word or two?

    2. reflectivity and PV include all vertical levels

      an average? an integral? units? ok it is qualitatively clear enough.

    3. the maintenance of the stratiform component largely depends on the well-organized parent convective component

      "particle fountain" view, Fig 15 here123%3C1964:TDKAME%3E2.0.CO;2)

    4. θe anomaly

      worrisome how much T at 14km is involved

    5. the linear transition zones between radii of 40–50 and 70–80 km were set when modifying the diabatic heating/cooling

      stitches around the surgery

    6. SHC0 and SHC200

      "heating rate" of both signs

    7. Role

      Impacts, not sensitivities (or interactions).

    8. heating

      positive values only, or the whole heating rate field (of both signs)?

    9. stratiform cooling

      is this just the negative values within columns tagged as "stratiform"?

    10. in

      by?

    11. initialized at 62 h of CTL

      surgery details

    12. distinct vertical heating profiles as displayed in Fig. A1b

      the pre surgery diagnosis

    13. The partitioning algorithm depends on the horizontal distribution of simulated reflectivity and vertical velocity, using three criteria (Steiner et al. 1995): intensity of reflectivity, peakedness (excess of reflectivity over a background value), and area within an intensity-dependent radius around a convective grid. At each time step of integration, the modified WRF code can automatically identify whether each grid point is categorized into convective, stratiform, or other

      Texture of simulated reflectivity, based on algorithms for observed reflectivity.

    14. artificially modifying the convective and stratiform heating/cooling between 40- and 80-km radii

      intrusive internal surgery experiments

    1. We describe a method for specifying the mass flux based on the convective inhibition at the top of the subcloud layer and the amount of turbulence within it.

      Gratifying to see a statistical mechanics treatment of Ooyama's "dispatcher function" rather than the smotheringly acausal roundabout reasonings of QE overthinking.

    1. the pressure level at which the radiative cooling decays linearly to zero is decreased from 200 to 125 mb, resulting in a ∼2.5 km increase in the depth of the cooling

      Yes here is the cooling profile experiment Figs. 13-15

    2. shallower depth of imposed radiative cooling

      do they actually show that the profile of cooling affects wave speed? Yes, Figs. 13-15.

    1. Time–longitude diagram

      The model's waves

    2. emerge spontaneously

      Large-scale disturbance energy grows with time, so an energy budget is quite relevant. How do these waves evade the theoretical bind of ENB?

      (original ENB source here if first link fails)

    1. Equilibrium vs. activation controls

      How chemists draw a conditional instability

    2. two ways, discussed above, of breaking the problem into mutually exclusiveparts: scale separation, and moist-dry separation

      A conceptual error in prior thought-framings, even though we all know the equations for Q1 and Q2.

    3. The convective transports are a response to this forcing,and in the main produce the opposite effect - a warming and drying. Themean atmospheric state which we observe represents some balancebetween these opposing processes. However, as one might expect, this“balanced state” shifts in the direction of the forcing. The concept of a bal-anced state while convection is in progress is closely related to the quasi-equilibrium hypothesi

      Here is some refreshingly causal reasoning, unlike the laundering of causality through equilibrium in papers like ENB

    4. Composite temperature perturbation (solid) in the vicinity of MCS-like heating(profile shown dashed) in the imposed-heating model

      Compare to observational Q'T' temporal covariances here

    1. Large-scale upward motion in a convecting atmosphere increases convection and thus reduces the boundary-layer entropy, primarily through convective downdraughrs. Main- taining moht neutrality, the pee-atmosphere temperature is reduced. Thus the large-scale ascent ‘feels’ an effective, positive static stability

      Is this just a contortion of large-scale upward motion cools the environment, which invigorates convection that soon cools the average condition (although not necessarily the warmest moistest air that is entering updrafts) in subcloud layer, through its downdraft outflows. Here's a less controted (in my view) framing.

    2. must produce disturbances in the large-scale flow, rather than producing steady vertical transports

      Horrors, einstein! Disturbances, in our tidy world??

    3. no discontinuity in the heating

      HUH?

    4. superimposed on

      interesting framing

    5. latent heat energy released is two orders of magnitude greater than the amount needed to maintain the kinetic energy against frictional dissipation

      this is even more problematic: it compares microscale energy to macroscale energy

    6. it may become difficult to distinguish between the ‘large-scale’ and ‘convective’ motions

      there's some daylight

    7. conditionally unstable if it contains a nontrivial convective inhibition

      with respect to ENTRAINING real convective clouds, not undilute cheat-clouds

    8. statistical equilibrium was first applied systematically to the case of mist convection by Arakawa and Schubert (1974

      Come on... this is just a generalization of the older idea of "convective adjustment", as Arakawa (2004) admits i think

    9. description

      is it a "description", or a direction-of-causality presumption?