726 Matching Annotations
  1. Apr 2019
    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

    1. 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. 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.

    2. 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

    3. 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. 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

    3. 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

    4. the theory of CISK, as well as the representation of convection (Kuo 1965) that was implicitly based on it, has been an influential and lengthy dead-end road in atmospheric science

      Boom

    5. E is a bulk precipitation efficiency

      only within a certain favored back story... literally, here, it is a bulk shortcoming of latent heating to quite cancel adiabatic cooling

    6. virtually all extant simulations of convective clouds have proceeded in the ‘spin- down’ mode, in which convection is triggered by an aberration of the initial condition and thereafter uses the APE of the initial state, which is not resupplied

      early "warm bubble" simulations

    7. The inescapable conclusion from all these analyses is that lurge-scale ascent in convecting atmospheres is associated with a reduction of temperature; i.e. with a positive effective static stability

      why not look at observations? is it really inescapable? does it apply only to unconditional vertical motions (forcings)?

    8. The subcloud- layer entropy is reduced under the enhanced convective downdraughts associated with the ascent phase of the wave; this is, in equilibrium, associated with a reduction of the free-atmosphere temperature

      causality presumption contortions again

    9. the conceptual simplifications inherent in statistical-equilibrium thinking will prove to be a boon to a new generation of tropical dynamicists

      convective adjustment hasn't already been clear for a generation before 1974?

    10. the elementary requirement that heating and temperature fluctuations must be positively correlated in order that disturbance energy be produced seems to have been overlooked here

      But as the Stevens et al. comment paper shows, the present authors are overlooking observations

    11. The dominant thinking

      Do they characterize the "dominant thinking" fairly, or is it a bit of a straw man? Please reply (so I can what relpy alerts look like).

  2. www.jstage.jst.go.jp www.jstage.jst.go.jp
    1. Fig. 16. Quasi-equilibrium test

      "Quasi-equilibrium test" -- not causality evidence! This shows that QE can be acheived on these scales by the response of dynamics to heating, with no basis for inferring convection's responsiveness to a putative "forced" ascent.

    2. Quasi-equilibrium test

      It shows that QE can be acheived on these scales by the response of dynamics to heating, with no basis for inferring convection's responsiveness to a putative "forced" ascent.

    1. intensity is assumed to be modulated by convective available potential energy (CAPE), while occurrence frequency is modulated by the ratio of convective inhibition (CIN)

      Which is more important, available energy or triggering?

    1. the sum of the Archimedean buoyancy and the buoyancy-induced pressure gradient acceleration, because this is the actual buoyancy acceleration

      buoyancy acceleration, but how was the BPGF computed? It depends on geometry. Oh I see, they actually did an offline computation (Laplacian inversion) to compute the buoyancy-induced p', and then sampled it around the parcels.

    2. convective heating in the upper and lower troposphere is the same in the control run and, thus, cannot explain the differing convective sensitivities.

      This is too simplistic. Because of the great depth of the radiative cooling (extending well above where latent heating can balance it), the mean state is cold aloft so that eddy temperature flux convergence can do the job of balancing it. That means the parcels have abundant buoyancy aloft, and are less sensitive to small changes in it. See The first half of the third point in the abstract of my Water's Two Height Scales,… https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/qj.49712757708

    1. By many estimates, convective entrainment is the leading source of error in global climate models

      Everybody talks about (this aspect of) the weather but few do anything about it! Here is the ony new conceptual model for convection since the episodic mixing models of Raymond and Blyth, summarized in Raymond's "wiring diagrams"

      https://books.google.com/books?id=utC9BwAAQBAJ&pg=PA21&lpg=PA21&dq=wiring+diagrams+for+cumulus+clouds&source=bl&ots=l0VLHVzy41&sig=ACfU3U1PXeS-34I9dDBksryKwKYA2BJCUg&hl=en&sa=X&ved=2ahUKEwjguPap4rbhAhXqzVkKHcJ0Dm8Q6AEwCnoECAkQAQ#v=onepage&q=wiring%20diagrams%20for%20cumulus%20clouds&f=false

    1. The preferred stratification established by the model convection depends on the treat-ment of precipitation and ice processes, and especially on the poorly-understood pro-cesses that determine mass flux in downdrafts associated with the evaporation ofprecipitation.

      This test shows that responses to others' annotations do not appear in https://hypothes.is/users/brianmapes, only original annotations.

  3. Mar 2019
    1. At CSU, in the project's first phase, she is working with Nicholas Kedzuf, a master's student, to look at data and to establish a comprehensive inventory of ice particle properties. ("It's an absolute joy to work with such an excellent student," says Chiu.)

      Go Nick!

  4. Feb 2019
    1. u (= F2/ W) vanishesvery close toxl — 2-8. This corresponds to the greatest height reached by the plumefluid. As this fluid from the plume spreads out sideways, most of it will fall back somedistance, but certainly not as far as the height corresponding with xx 2-125 atwhich the density difference first vanishes

      overshoot and detrainment heights

    2. a simpler transfer assumption was madeby Taylor (1945) in the hope that it would represent the broad outlines of themechanics of a rising plume of buoyant air without the necessity for understandingin detail how the turbulent eddies mix the heated and the ambient air

      Taylor the great giant of the field see footnote at end

    3. The present treatment is based on this assumption, which relates the inflow intothe edge of a convective plume to some characteristic velocity in the plume

      Key entrainment assumption

    4. Two governing parameters are provided by the physical conditions of theproblem, F0 and G, and these must determine the scale of the motion

      Only 2 things can matter, then wrangle units

    Annotators

  5. Dec 2018
    1. We binned the parcels based on their buoyancy acceleration and vertical velocity at the bottom level right before they ascend to the next level.

      before and after encountering the perturbed T' layer

    1. taking advantage of the dynamical stability of these regions

      They are easily observable with spaceborne instruments and offer a less uncertain view on the radiative fluxes than the cloudy regions (Pincus et al. 2015). Our SMF metric may therefore prove efficient in tracking the circulation changes in the present climate by analyzing satellite data records.

    1. Both types of annotations appear when I log out. But my friend's annotations (on another page) are not visible to me. I don't understand groups, layers, and the lock icon that sometimes appears next to the word Public.

    1. boreal summer stationary-wave amplitude (SWA) had a significantly positive trend during 1979–2013

      http://iopscience.iop.org/article/10.1088/1748-9326/10/10/104009/meta#erl520543f1 observation

      we define the SWA for each model as the variance of 925-hPa streamfunction at the latitude of the maximum stationary waves in that model. SWA is measured in stationary wave units (SWU), defined as 1013 m4 s−2. In this study, we use a 50-yr time length to compute the linear trend of SWA because this length is longer than most time periods of internal variability of atmospheric circulation.

      c. Hydrological extremes To measure summer hydrological extremes, we count the number of days in a dry spell and the number of heavy-rainfall days in each summer. A dry spell is defined as an event of at least 3 consecutive days when daily precipitation is less than 1 mm, while a heavy-rainfall day is defined as a day when the precipitation exceeds the 99th percentile of daily precipitation in JJA during the period 1955–2005. We then count the number of dry-spell days and heavy-rainfall days at each grid point during JJA of each year.

    1. High leakage periods are also related to reduced inland convective rainfall over southeastern Africa in austral summer

      https://journals.ametsoc.org/na101/home/literatum/publisher/ams/journals/content/clim/2018/15200442-31.24/jcli-d-17-0647.1/20181127/images/large/jcli-d-17-0647.1-f10.jpeg

      other fields https://journals.ametsoc.org/na101/home/literatum/publisher/ams/journals/content/clim/2018/15200442-31.24/jcli-d-17-0647.1/20181127/images/large/jcli-d-17-0647.1-f8.jpeg

    2. recreate a number of total velocity fields by modifying the eddying component to assess the dependence of leakage variability on the eddies.

      method https://journals.ametsoc.org/na101/home/literatum/publisher/ams/journals/content/clim/2018/15200442-31.24/jcli-d-17-0647.1/20181127/images/large/jcli-d-17-0647.1-f2.jpeg

      example https://journals.ametsoc.org/na101/home/literatum/publisher/ams/journals/content/clim/2018/15200442-31.24/jcli-d-17-0647.1/20181127/images/large/jcli-d-17-0647.1-f3.jpeg

    1. hypotheses

      figure https://journals.ametsoc.org/na101/home/literatum/publisher/ams/journals/content/clim/2018/15200442-31.24/jcli-d-18-0154.1/20181127/images/large/jcli-d-18-0154.1-f2.jpeg

      Three hypotheses for the CRE balance are considered:

      The CRE balance results from a fortuitous coincidence.

      Feedbacks among cloud albedo, large-scale circulation, and SST cause the net CRE to be similar in neighboring regions of active and suppressed convection.

      Radiative heating of clouds causes medium and thin anvil cloud to persist longer than thick anvil, which causes the cloud population to have a neutral net CRE.

      Our results are consistent with the cloud–circulation–SST feedback hypothesis 2 and show that earlier criticism of this hypothesis is not supported by observations. Future work should focus on testing these hypotheses further.

      More on the latter: Since radiative heating extends the lifetime of anvils, but the effect is stronger for thin and medium clouds than for thick ones, Hartmann and Berry (2017) hypothesized that radiative heating could cause the cloud population to have a neutral net CRE.

    2. consistent with the hypothesis that the cancellation in CRE is caused by feedbacks among cloud albedo, large-scale circulation, and SST.

      https://journals.ametsoc.org/na101/home/literatum/publisher/ams/journals/content/clim/2018/15200442-31.24/jcli-d-18-0154.1/20181127/images/large/jcli-d-18-0154.1-f1.jpeg

      " if the SW and LW CRE are balanced as a result of some robust physical process, then it opens the possibility that such a process could maintain the balance in the future."

    1. improved winds and surface heat fluxes must go hand in hand with improved subseasonal and parameterized ocean processes. Implications

      agenda - whole programme and getting it right for right reasons, not compensations

    1. Jianping Duana,bxJianping DuanSearch for articles by this author, Lun LicxLun LiSearch for articles by this author, Zhuguo MaaxZhuguo MaSearch for articles by this author, Jan EsperdxJan EsperSearch for articles by this author, Ulf BüntgenexUlf BüntgenSearch for articles by this author, Elena XoplakifxElena XoplakiSearch for articles by this author, Dujuan ZhanggxDujuan ZhangSearch for articles by this author, Lily WanghxLily WangSearch for articles by this author, Hong YinixHong YinSearch for articles by this author, and Jürg Luterbacherf,j

      How was author order set? Not alphabetical at all.

    1. 21 papers if I count right.

      Dataset: 1 AGW oriented climate modeling work: 7 Model development/ evaluation: 3 Mode or branded phenomenon: 3 Ocean driven phenomena: 2; Volcano 1 Process oriented (clouds/rad) 3

      Forcing 3, response 4,

  6. Nov 2018