### A Pluto.jl notebook ### # v0.15.1 using Markdown using InteractiveUtils # This Pluto notebook uses @bind for interactivity. When running this notebook outside of Pluto, the following 'mock version' of @bind gives bound variables a default value (instead of an error). macro bind(def, element) quote local el = $(esc(element)) global $(esc(def)) = Core.applicable(Base.get, el) ? Base.get(el) : missing el end end # ╔═╡ 0a889312-d965-11eb-28e0-a72a1379850a using AIBECS # ╔═╡ 4d57848c-a2e7-4d5a-b848-f3822437da6a using Plots # ╔═╡ 361bbe46-bf9a-4a6c-834f-5a0660f9a0e6 using OceanBasins # ╔═╡ 325084cb-b233-4a63-8f8c-7ba32b7e8d43 using PlutoUI # ╔═╡ b0dd2638-2e67-4f29-899a-4dba8d25c960 md""" # [AIBECS.jl](https://github.com/JuliaOcean/AIBECS.jl) tutorial: Radiocarbon age In this notebook, you will simulate the radiocarbon age in the global ocean in just a few minutes! """ # ╔═╡ a1638e89-30b4-41e6-ae6c-9b0cd0c92fcd md""" !!! note This notebook is heavily inspired from [the radiocarbon tutorial in AIBECS.jl's documentation](https://juliaocean.github.io/AIBECS.jl/stable/tutorials/2_radiocarbon/). """ # ╔═╡ 604a6a0b-0fc4-47e4-9dc1-dbb56106852b md""" !!! warning On your first run, the installation of the packages, their precompilation, and the download of the data should take a few minutes. You can expect up to 10-minutes wait on a slow laptop with a slow internet connection... **Please be patient!** """ # ╔═╡ 41e825fa-43e2-4b33-9e25-98145cb4eb63 md""" ## Introduction Radiocarbon, ¹⁴C, is produced by cosmic rays hitting ¹⁴N atoms in the lower stratosphere and upper troposphere. ¹⁴C then quickly reacts with oxygen to produce ¹⁴CO₂, which eventually enters the ocean through air–sea gas exchange. As it travels the oceans, radiocarbon decays (halflife ~5730 yr). Deviations of ¹⁴C concentrations away from atmoshperic values serve as a tracer label for the time passed since a water parcel was last in contact with the atmosphere. We call this mean time the "radiocarbon age", and we are going to calculate it! ![](https://wserv4.esc.cam.ac.uk/pastclimate/wp-content/uploads/2014/09/Radiocarbon-cycle_2-e1410282981969.jpg) *image taken from [a "Past Oceans and Climate" blog post by Luke Skinner](https://wserv4.esc.cam.ac.uk/pastclimate/?page_id=19)* """ # ╔═╡ 1d84e220-7bca-489b-83d8-87fe26398435 md""" !!! tip "Tip: It's a clickable plot!" You can click on the plot above to select a (lat/lon) location!" """ # ╔═╡ 1d5df523-879e-4398-849e-d4b21003dd12 html"""

Tracer equation

""" # ╔═╡ 2b531ea8-87eb-4a63-aabc-e7520f18a893 md""" #### Continuous PDE The "real" three-dimensional PDE for $R(x,y,z)$ is $$\frac{\partial R}{\partial t} + \underbrace{\nabla \cdot \left[ \boldsymbol{u} - \mathbf{K} \cdot \nabla \right] R}_\mathsf{circulation} = \underbrace{ \frac{\lambda}{h} (R_\mathsf{atm} - R) (z ≤ h)}_\mathsf{air–sea~exchange} - \underbrace{R / \tau}_\mathsf{decay},$$ where $\frac{\partial R}{\partial t}$ is the rate of change of $R$ and $\nabla \cdot \left[ \boldsymbol{u} - \mathbf{K} \cdot \nabla \right] R$ is the flux divergence of $R$ due to the ocean circulation, here given by the mean advective currents $\boldsymbol{u}$ and an eddy-diffusivity matrix $\mathbf{K}$. The first term on the right-hand-side represents the air–sea gas exchange with a piston velocity $λ$ over a depth $h$ and $R / \tau$ is the radioactive decay rate, where $\tau$ is the radioactive decay timescale. In this notebook, the goal is to solve for the steady-state of the tracer equation. """ # ╔═╡ 59304232-cf0f-47ec-b993-86afcd2cc227 html"""

Discretize and linearize the PDE

For any model of ocean or atmospheric processes, we must discretize the equation onto a 3D grid. Below is an example of a very coarse ocean circulation model, with just 5 boxes for water"


image from François Primeau and Louis Primeau """ # ╔═╡ 5473f343-4dd5-4aef-88c9-4287a876d7f9 html"""

With AIBECS, the 3D field is rearranged into a column vector. Taking the toy model of ocean circulation above, this means that the 5 boxes are stacked together to form a 5-element column, like illustrated on the right.

The tracer equation given after discretization and reorganization into column vectors, is the "discrete" tracer equation. It is given by

""" # ╔═╡ fc00184b-9bcc-4833-9fc8-49ef2efbd3af md""" #### Discrete tracer equation The tracer equation we solve the steady-state of is $$\frac{\partial \boldsymbol{R}}{\partial t} + \mathbf{T} \, \boldsymbol{R} = \frac{\lambda}{h} (R_\mathsf{atm} - \boldsymbol{R}) (\boldsymbol{z} ≤ h) - \boldsymbol{R} / \tau.$$ where now $\boldsymbol{R}$ is a column vector of radiocarbon concentrations and $\mathbf{T}$ is a sparse matrix representing the ocean circulation. **The goal is to solve for the steady state, i.e.,** $$\frac{\partial \boldsymbol{R}}{\partial t} = 0.$$ """ # ╔═╡ ba54f82c-9e6c-409d-86bd-a85cc4609357 md""" ## Simulate radiocarbon age """ # ╔═╡ 38129859-df5e-4faa-a75c-8304b2bed55b md""" ### 1. Load AIBECS """ # ╔═╡ 56bf3614-092d-4891-b1aa-7b2c5e1ddcbc md""" ### 2. Chose a circulation model """ # ╔═╡ 4bbffe2c-0520-4e7b-bf38-0857454336ef md""" Load the circulation grid and matrix. Here I chose the `OCCA` matrix, which was built using the MIT general circulation model, but you can select other circulations, like the `OCIM2` one, for example (FYI, the OCCA matrix was made by Gael Forget, the organizer of this workshop). """ # ╔═╡ 35641e0f-537c-476a-86bd-d690d0989736 grd, T = OCCA.load() ; # ╔═╡ cb8c4c09-6783-42c1-b114-d2a20dbfa3f7 md""" !!! warning This cell downloads some data on the first run, so it may take a little time. It is also possible that it stumbles and errors. If it happens, just try to run it again! """ # ╔═╡ bcc5fa0f-7595-4a21-a057-1cbabf94a049 md""" !!! tip "Tip: You can swap circulations!" For example, you can use the Ocean Circulation Inverse Model (OCIM) matrices using ```julia grd, T = OCIM2.load() ; ``` These OCIM2 matrices come in different flavors, whcih you can select with the `version` keyword argument, e.g., with ```julia OCIM2.load(version="KiHIGH_He") ``` for increased isopycnal diffusivity, or use `version="KvHIGH_He"` for increased vertical diffusivity. """ # ╔═╡ d76ec9fb-77f4-4a14-afb2-713cbd03ffab md""" The grid, `grd`, contains a bunch of properties, like latitude, longitude, depth, and so on. """ # ╔═╡ ba5fb3fa-b9f8-43c3-881c-0dc26c399b70 fieldnames(typeof(grd)) # ╔═╡ 5862c0fe-ff2c-45c9-aef4-ab0635442ee5 md""" And `T` is the sparse matrix of the ocean circulation. """ # ╔═╡ ac71b40d-5f79-4881-9086-c71c89077499 T # ╔═╡ fe54d279-6d03-4892-9c0f-9dccb42b77a1 md""" ### 3. Local sources and sinks We lump the local sources and sinks (air–sea exchange and decay) into a `RHS` function. """ # ╔═╡ 3c300825-ef08-4e5d-ab29-9264bb8e1024 md""" Above you'll note that I "unpack" a bunch of scalar parameters. We'll deal with those in the next section. But first, let us define `z`, the column vector of all the depths of all the boxes, for which there is the `depthvec` function. """ # ╔═╡ 5b99fcb5-c3e1-4a01-84e6-334b26562301 z = depthvec(grd) # ╔═╡ daef9e51-08b5-4ab3-946a-703052ef1a34 function RHS(R,p) @unpack λ, h, Ratm, τ = p return @. λ / h * (Ratm - R) * (z ≤ h) - R / τ end # ╔═╡ c9f07270-f1ce-4b1b-b8b0-a4ab53440366 md""" ### 4. Parameters We define our variable parameters (those that I unpacked earlier) with a special `struct`. Here we do that with a little add-on package for units. But to do that we must first import some unit functions """ # ╔═╡ 021a82d2-4a7b-4768-9e49-bdcb2a2b5da4 import AIBECS: @units, units # ╔═╡ 7679b0ba-5a04-4af3-9f58-80644da08f9e md""" Now we define our parameter structure called `Params`. """ # ╔═╡ 202247cd-7a29-4f24-a5f9-831badce334f @units struct Params{U} <: AbstractParameters{U} λ::U | u"m/yr" h::U | u"m" τ::U | u"yr" Ratm::U | u"M" end # ╔═╡ 55292329-200f-4cf3-bb1d-e4cff6def15b md""" For the air–sea gas exchange, we use a constant piston velocity $\lambda$ of 50m / 10years. And for the radioactive decay we use a timescale $\tau$ of 5730/log(2) years. """ # ╔═╡ e533c789-73e5-4843-b58e-9b00c950aa0b p = Params(λ = 50u"m"/10u"yr", h = grd.δdepth[1], τ = 5730u"yr"/log(2), Ratm = 42.0u"nM") # ╔═╡ d4c9bb7f-7e92-4b42-af59-d74d7db3298c md""" !!! note "Note the units!" You can specify different units and AIBECS (thanks to [Unitful.jl](https://github.com/PainterQubits/Unitful.jl)), will do the conversions for you. """ # ╔═╡ fa2265a6-3bf5-4b29-9fcb-271d1215ea62 md""" ### 5. The "state" function and its Jacobian To simulate radiocarbon, AIBECS first collects all the terms of the rate of change into a big "state" function that depends on the state (here just the radiocarbon concentration vector $\boldsymbol{R}$ and the parameters $\boldsymbol{p}$), $$\boldsymbol{F}(\boldsymbol{R}, \boldsymbol{p}) = \frac{\partial \boldsymbol{R}}{\partial t}$$ and then AIBECS solves for the steady-state by looking for roots of $\boldsymbol{F}$, i.e., the $\boldsymbol{R}$ values such that $$\boldsymbol{F}(\boldsymbol{R}, \boldsymbol{p}) = 0$$ To find that root, AIBECS uses a quasi-Newton solver, which requires the Jacobian of $\boldsymbol{F}$ w.r.t. $\boldsymbol{R}$, which we denote by $\nabla_\boldsymbol{x}\boldsymbol{F}$, which is a sparse matrix just like $\mathbf{T}$. But don't worry, AIBECS can compute both of them for you using the `F_and_∇ₓF` function. """ # ╔═╡ 9a40e63d-bcb0-47d9-9daa-f98e6b2d90d7 F, ∇ₓF = F_and_∇ₓF(T, RHS) # ╔═╡ 4e82b6b7-abb8-4248-ad92-65e082c2eedc md""" ### 6. Run the simulation! We chose an initial guess for the values of $\boldsymbol{R}$ (here just zeros). """ # ╔═╡ 8875b4e6-95ca-4c31-a6c5-70fd7193f5a5 R₀ = zeros(length(z)) # an initial guess # ╔═╡ 77d30cef-dc91-4db1-886f-15b4787f1ec7 md""" We generate the steady-state problem (following SciML lingo)""" # ╔═╡ fa03c28c-5c2a-4764-9260-6acd9b5ec5a3 prob = SteadyStateProblem(F, ∇ₓF, R₀, p) ; # ╔═╡ da45685f-db9b-4c8a-a62b-0bc9cfc04311 md"""And we solve it.""" # ╔═╡ d3074335-0625-402a-b4d3-6ae65c8cd168 R = solve(prob, CTKAlg()).u # in SciML lingo, the solution array is in `.u` # ╔═╡ 4530a0c3-c05a-46ab-9510-aeac2d56da1a md""" !!! note Right now, the `CTKAlg()` solver is housed inside of AIBECS. Eventually however (and hopefully), AIBECS will rely on SciML's [NonlinearSolve.jl](https://github.com/SciML/NonlinearSolve.jl) to provide the many available solvers in Julia. """ # ╔═╡ 8a231ad0-e2a9-423a-b1b0-e600e0e3aac2 md""" Since radiocarbon decays with timescale $\tau$, if $t$ is the radiocarbon age as we follow a water parcel, then $$R = R_\mathsf{atm} \exp(-t/\tau)$$ Thus, we recover the radiocarbon age $t$ via $$t = \tau \log(R_\mathsf{atm} / R)$$ """ # ╔═╡ 59dd2d1e-78e2-431d-ad92-a7368b8e54ce C14age = let @unpack τ, Ratm = p @. τ * log(Ratm / R) * u"s" |> u"yr" end # ╔═╡ fdc77b5c-5a56-43bc-b304-89f1f064c9a5 md""" That's it, now let's plot this radiocarbon age! """ # ╔═╡ 5d8b2518-66a5-4ab2-992b-b80b98d1a498 md""" ### Plot it from all angles """ # ╔═╡ d9114195-74b2-4c2d-bc0a-151fa37bc46a md""" AIBECS comes with some plotting recipes for [Plots.jl](https://github.com/JuliaPlots/Plots.jl), so let's use it! """ # ╔═╡ 67ce45d2-96e7-470b-8f36-b062b5a51d7d md""" ### Horizontal slice """ # ╔═╡ c9ed1499-4bc6-45d6-921f-9e023fe28736 md""" One recipe, for example, is `plothorizontalslice`. Here is an example: """ # ╔═╡ c0c6a6b9-407d-4861-bb27-6e150ee3381d md""" !!! tip "Tip: These are reactive plots!" You can select the depth (see the slider), move it around to see maps at different depths. """ # ╔═╡ a508b27d-4a2d-4453-87e8-c6d330f65b6d md""" You can customize your plots to look better by combining recipes and attributes. For example, I like to see contour lines. That's what the function below does """ # ╔═╡ b4ac7dc7-6000-40c0-a081-c39bc3d286d9 md""" So that the horizontal slice looks better! """ # ╔═╡ e648c42a-9ebc-46f0-bdff-55d74a284009 md""" ### Meridional slice """ # ╔═╡ 2d338a77-33ee-4256-a728-fafb7d15c13a md""" There's also a recipe for meridional slices. Like above, we can customize it to get a pretty plot: """ # ╔═╡ eddb1866-9242-485a-9971-a0b1043d0eb7 md""" !!! tip "Tip: Take a different slice!" You can move the cell of the first plot (with the lat/lon selector) and pick a different location (through which the slice above is taken)! """ # ╔═╡ d444fc11-9113-41bb-86a8-792feabafe7f md""" ### Tracer vs depth profile """ # ╔═╡ 2dabc2fc-45f6-4454-855d-555f3eacefdf md""" !!! tip "Tip: Chose your best profile!" Select the profile location with the (lat/lon)-selector plot... """ # ╔═╡ 488c6914-0a09-475f-870b-6148dc6dadb3 md""" ### Zonal average """ # ╔═╡ 0268bff0-7ccd-404f-8424-78444885fb4a md""" We can take a zonal average as well (using the `plotzonalaverage` function) """ # ╔═╡ c9cb1b8e-bb4a-4f74-9e35-96ad9530413e md""" ### Global mean profile """ # ╔═╡ 9a95c55a-8e44-42d3-a52e-2f18d670811b md""" Or a mean profile """ # ╔═╡ a6407c69-ac39-4819-9429-239f43a5dc63 md""" That should be the end of the tutorial presentation. Below is a tiny little extra example of more customization. """ # ╔═╡ 56a1aa18-0134-4e4f-a6cc-3662316284dc md""" ## Extras for the breakout session! ### Compose with other packages """ # ╔═╡ 3db99f8c-f238-427c-8239-19a7d94401b7 md""" As an example, let's load the polygons of the 3 major basins and look at plots restriced to these areas """ # ╔═╡ e0267345-df37-410b-bcca-218e35388f87 OCEANS = oceanpolygons() # ╔═╡ 17c15ad0-c7b9-4a6e-9375-4bcc1f84a517 md""" !!! warning This cell downloads some data (ocean polygons) on the first run, so it may take a little time. It is also possible that it stumbles and errors. If it happens, just try to run it again! """ # ╔═╡ 246063c6-d2ca-4796-88c5-fa1489e6381b masks = ( ATL = isatlantic(latvec(grd), lonvec(grd), OCEANS), PAC = ispacific(latvec(grd), lonvec(grd), OCEANS), IND = isindian(latvec(grd), lonvec(grd), OCEANS), ) # ╔═╡ f7ad9931-1d92-4d08-a0ee-9393dd524f92 md""" ## Extra settings Below are cells that are not necessarily needed for this notebook but they facilitate some things. """ # ╔═╡ 25f7c2a3-a8a7-441e-8da1-b311fd355867 md""" ##### Always accept downloads The AIBECS.jl package provides functions to download different ocean circulations using the DataDeps.jl package, which ususally requires the user to accept each download individually. The cell below tells DataDeps.jl to always accept downloads, so that this notebook can be self-contained and fetch the circulation you want automatically. """ # ╔═╡ c08308c9-eade-4209-b755-2415542e542a ENV["DATADEPS_ALWAYS_ACCEPT"] = true # ╔═╡ cffb9e34-c2ab-40c2-8006-e1fd934fd066 md""" ##### Plot options """ # ╔═╡ d5a447b4-2d22-4466-b89f-de859ed9f09e clim=(0,2500) # ╔═╡ 22a18398-a6ac-4229-8a52-e984315bb699 cmap = cgrad(:davos, rev=true) # ╔═╡ c91b9d30-b8e0-457a-a958-2d5f60451b78 basin_colors = cgrad(:tableau_colorblind, categorical=true)[[4, 5, 2, 3]] # ╔═╡ e14f6526-c5e3-4c17-896e-2983c030f5e9 begin plotverticalmean(sum(k*mask for (k,mask) in enumerate(masks)), grd; title="Ocean basins", color=cgrad(basin_colors, categorical=true), clim=(-0.5,length(masks)+0.5), colorbar=false) annotate!(80, -15, "IND") annotate!(200, 0, "PAC") annotate!(315, 30, "ATL") end # ╔═╡ 9f2ece88-dbc7-495e-9ca5-6518af58caf8 # repeated plot options are colorbartitle, colormap, extra margin for colorbar title plot_options = (; colorbartitle="\nage", # The new line moves cbar label to avoid overlap but... right_margin=3Plots.mm, # but the moved cbar label needs more space! color=cmap, clim) # ╔═╡ d4521113-4a5c-4154-877f-7228885e0ac2 function myhorizontalslice(x, grd; depth, kwargs...) # Default heatmap plothorizontalslice(x, grd; depth, plot_options..., kwargs...) # Overlay filled contour (you can comment this one out for example) plothorizontalslice!(x, grd; depth, plot_options..., levs=0:100:2500, st=:contourf, lw=0) # and some black contours (for looks) plothorizontalslice!(x, grd; depth, plot_options..., levs=0:500:2500, st=:contour, c=:black, clabels=true) end # ╔═╡ 75b087ff-fb90-4a79-b95b-678157f4046e function myzonalaverage(x, grd; kwargs...) p = plotzonalaverage(x, grd; plot_options..., yunit=u"km", kwargs...) #plotzonalaverage!(p, x, grd; plot_options..., yunit=u"km", st=:contourf, levs=0:100:2500, lw=0, clabels=true, kwargs...) plotzonalaverage!(p, x, grd; plot_options..., yunit=u"km", st=:contour, levs=0:500:2500, c=:black, clabels=true, kwargs...) p end # ╔═╡ f0d1a772-2b1d-4feb-8d52-b9dbf29b3f45 myzonalaverage(C14age, grd; title="Global zonal average of radiocarbon age") # ╔═╡ 8f76c559-ef89-46c0-a792-75a1de96f6e5 plot([myzonalaverage(C14age, grd; mask, title="Zonal average ($m)") for (m,mask) in pairs(masks)]..., layout=(length(masks),1), size=(500,800)) # ╔═╡ ee1d8881-4dce-45d3-95fa-9bb33819ebe9 plothorizontalaverage(C14age, grd; plot_options..., c=1, xlim=clim, lab="", xlab="Horizontally averaged radiocarbon age", lw=3) # ╔═╡ 98508321-fb4b-4076-9c95-0d38f63303b8 let p = plot(xlim=clim, xlab="Basin averaged radiocarbon age", legend=:bottomleft) for (icolor, (m,mask)) in enumerate(pairs(masks)) plothorizontalaverage!(p, C14age, grd; mask, plot_options..., c=basin_colors[icolor+1], lw=3, lab="$m", ) end p end # ╔═╡ cc9fb021-35f9-4183-b992-40d82a5c1d2b md""" ## User interface """ # ╔═╡ b505808f-6a05-4f2a-b755-201065b9c5f5 function plotclicktracker(p::Plots.Plot; draggable::Bool=false) # we need to render the plot before its dimensions are available: # plot_render = repr(MIME"image/svg+xml"(), p) plot_render = repr(MIME"image/svg+xml"(), p) # these are the _bounding boxes_ of our plot big = bbox(p.layout) small = plotarea(p[1]) # the axis limits xl = xlims(p) yl = ylims(p) # with this information, we can form the linear transformation from # screen coordinate -> plot coordinate # this is done on the JS side, to avoid one step in the Julia side # we send the linear coefficients: r = ( x_offset = xl[1] - (xl[2] - xl[1]) * small.x0[1] / small.a[1], x_scale = (big.a[1] / small.a[1]) * (xl[2] - xl[1]), y_offset = (yl[2] - yl[1]) + (small.x0[2] / small.a[2]) * (yl[2] - yl[1]) + yl[1], y_scale = -(big.a[2]/ small.a[2]) * (yl[2] - yl[1]), x_min = xl[1], # TODO: add margin x_max = xl[2], y_min = yl[1], y_max = yl[2], ) HTML("""""") end # ╔═╡ 7a209d2b-06b8-4177-a728-14a6b7e364ed begin default_usage_error = :(error("Example usage:\n\n@intially [1,2] @bind x f(x)\n")) macro initially(::Any) default_usage_error end macro initially(default, bind_expr::Expr) if bind_expr.head != :macrocall || bind_expr.args[1] != Symbol("@bind") return default_usage_error end # warn if the first argument is a @bind if default isa Expr && default.head == :macrocall && default.args[1] == Symbol("@bind") return default_usage_error end esc(intially_function(default, bind_expr)) end function intially_function(default, bind_expr) sym = bind_expr.args[3] @gensym setval bond quote if !@isdefined($sym) $sym = $default end $setval = $sym $bond = @bind $sym $(bind_expr.args[4]) PlutoRunner.Bond if $sym isa Missing $sym = $setval end $bond end end end # ╔═╡ bd6d5348-56e9-45d0-8770-0499d437b0a6 depth_slider = @bind depth Slider(0:50:6000, show_value=true, default=500) # ╔═╡ d2a72eda-685e-4033-acc4-d384f2816e80 md""" depth = $(depth_slider) """ # ╔═╡ be2300ea-50a6-42b3-bc3b-3e65e01b3203 plothorizontalslice(C14age, grd; depth) # ╔═╡ 1d63cee3-0d5d-497d-b019-ce9c8865c4d4 md""" depth = $(depth_slider) """ # ╔═╡ 25379449-9118-4d18-8688-1bedccd454b9 myhorizontalslice(C14age, grd; depth, title="Radiocarbon age at $(depth)m") # ╔═╡ 2dbc5948-3c9e-4a93-9919-702fab2a992d function prettylon(lon) lon = round(Int, mod(lon + 180, 360) - 180) lon == 0 ? "0°" : lon > 0 ? "$(lon)°E" : "$(-lon)°W" end # ╔═╡ 1a9b44b4-415f-47aa-acae-dbef7c9af54a function prettylat(lat) lat = round(Int, lat) lat == 0 ? "Eq" : lat > 0 ? "$(lat)°N" : "$(-lat)°S" end # ╔═╡ dd59eee8-2265-4487-a875-a09aca2d9cb0 function slice_and_profile(click_coordinate) p = plothorizontalslice(C14age, grd; depth, title="Radiocarbon age at $(depth)m", color=cmap, clim, colorbar=false) plothorizontalslice!(p, C14age, grd; depth, seriestype=:contourf, levels=0:125:2500, clim, color=cmap, lw=0) plothorizontalslice!(p, C14age, grd; depth, seriestype=:contour, levels=0:250:5000, color=:black, contour_labels=true) # profile if !isnothing(click_coordinate) lon, lat = click_coordinate lon2, lat2 = prettylon(lon), prettylat(lat) scatter!(p, [lon], [lat], c=:black, lab="") annotate!(lon, lat-10, text("$(lon2), $(lat2)", 10, :red)) vline!(p, [lon], lab="", c=:red, linestyle=:dash) hline!(p, [lat], lab="", c=:red, linestyle=:dash) # profile pro = plotdepthprofile(C14age, grd; lonlat=(lon,lat), xlim=(0,3000), yunit=u"km", lab="", xlab="Age", lw=3) hline!(pro, [depth * u"m"], lab="", c=:red, linestyle=:dash) else pro = plothorizontalaverage(C14age, grd, xlim=(0,3000), yunit=u"km", lab="", xlab="Age") end xlims!(p, (0,360)) ylims!(p, (-90,90)) # home-made colorbar crange = range(clim..., length=100) cbar = contourf(crange * u"yr", [0,1], [crange crange]'; color=cmap, levels=0:125:2500, clim, colorbar=false, yticks=[], xlab="Radiocarbon age", lw=0) contour!(cbar, crange * u"yr", [0,1], [crange crange]'; color=:black, levels=0:250:5000) # combine plots p1 = plot(p, cbar, layout=grid(2, 1, heights=(0.925, 0.075))) plot(p1, pro, layout=grid(1, 2, widths=(0.8, 0.2)), size=(800,400), bottom_margin=3Plots.mm) end # ╔═╡ d8ac806d-99b8-4a69-a31d-a92711b274af mainplot = @initially [160.0,0.0] @bind x0 plotclicktracker(slice_and_profile(x0); draggable=true) # ╔═╡ e552da86-a408-4b3f-a0b6-eb9e9702ddc5 lon, lat = isnothing(x0) ? (180, 0) : x0 # a tuple of longitude and latitude sliders # ╔═╡ ebce3a87-1fd8-4f63-a7ac-c97476c15323 let p = plotmeridionalslice(C14age, grd; lon, title="Radiocarbon age at $(prettylon(lon))", plot_options...) # Overlay black contours (nicer on the eyes) plotmeridionalslice!(C14age, grd; lon, st=:contour, levs=0:250:3000, clabels=true, c=:black, plot_options...) # Overlay red lines for latitude of target latitude and depth #hline!([depth], lab="", c=:red, linestyle=:dash) #vline!([lat], lab="", c=:red, linestyle=:dash) end # ╔═╡ 66364ec2-d852-4d02-940f-feafd7deb53d plotdepthprofile(C14age, grd; lonlat=(lon,lat), title="Radiocarbon age at ($(prettylon(lon)), $(prettylat(lat)))", c=1, lw=3, xlim=clim, plot_options..., lab="" ) # ╔═╡ 00000000-0000-0000-0000-000000000001 PLUTO_PROJECT_TOML_CONTENTS = """ [deps] AIBECS = "ace601d6-714c-11e9-04e5-89b7fad23838" OceanBasins = "d1bb7020-b2be-4340-9d18-d24ca645bddb" Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80" PlutoUI = "7f904dfe-b85e-4ff6-b463-dae2292396a8" [compat] AIBECS = "~0.10.3" OceanBasins = "~0.1.7" Plots = "~1.19.3" PlutoUI = "~0.7.9" """ # ╔═╡ 00000000-0000-0000-0000-000000000002 PLUTO_MANIFEST_TOML_CONTENTS = """ # This file is machine-generated - editing it directly is not advised [[AIBECS]] deps = ["Bijectors", "CodecZlib", "DataDeps", "DataFrames", "Dates", "DiffEqBase", "Distances", "Distributions", "Downloads", "FieldMetadata", "Flatten", "ForwardDiff", "ImageFiltering", "Interpolations", "JLD2", "LinearAlgebra", "MetadataArrays", "NCDatasets", "NearestNeighbors", "OceanGrids", "Printf", "RecipesBase", "Reexport", "Shapefile", "SparseArrays", "StringDistances", "SuiteSparse", "UnPack", "Unitful", "UnitfulRecipes"] git-tree-sha1 = "b7d49b4697c28966338b819a5771f70b1da5d068" uuid = "ace601d6-714c-11e9-04e5-89b7fad23838" version = "0.10.3" [[AbstractFFTs]] deps = ["LinearAlgebra"] git-tree-sha1 = "485ee0867925449198280d4af84bdb46a2a404d0" uuid = "621f4979-c628-5d54-868e-fcf4e3e8185c" 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"Functors", "LinearAlgebra", "MappedArrays", "NNlib", "NonlinearSolve", "Random", "Reexport", "Requires", "SparseArrays", "Statistics", "StatsFuns"] git-tree-sha1 = "f032f0b27318b0ea5e35fc510759971fbba65179" uuid = "76274a88-744f-5084-9051-94815aaf08c4" version = "0.9.7" [[BinaryProvider]] deps = ["Libdl", "Logging", "SHA"] git-tree-sha1 = "ecdec412a9abc8db54c0efc5548c64dfce072058" uuid = "b99e7846-7c00-51b0-8f62-c81ae34c0232" version = "0.5.10" [[Bzip2_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "c3598e525718abcc440f69cc6d5f60dda0a1b61e" uuid = "6e34b625-4abd-537c-b88f-471c36dfa7a0" version = "1.0.6+5" [[CFTime]] deps = ["Dates", "Printf"] git-tree-sha1 = "bca6cb6ee746e6485ca4535f6cc29cf3579a0f20" uuid = "179af706-886a-5703-950a-314cd64e0468" version = "0.1.1" [[Cairo_jll]] deps = ["Artifacts", "Bzip2_jll", "Fontconfig_jll", "FreeType2_jll", "Glib_jll", "JLLWrappers", "LZO_jll", "Libdl", "Pixman_jll", "Pkg", "Xorg_libXext_jll", "Xorg_libXrender_jll", "Zlib_jll", "libpng_jll"] git-tree-sha1 = "e2f47f6d8337369411569fd45ae5753ca10394c6" uuid = "83423d85-b0ee-5818-9007-b63ccbeb887a" version = "1.16.0+6" [[CatIndices]] deps = ["CustomUnitRanges", "OffsetArrays"] git-tree-sha1 = "a0f80a09780eed9b1d106a1bf62041c2efc995bc" uuid = "aafaddc9-749c-510e-ac4f-586e18779b91" version = "0.2.2" [[ChainRulesCore]] deps = ["Compat", "LinearAlgebra", "SparseArrays"] git-tree-sha1 = "f53ca8d41e4753c41cdafa6ec5f7ce914b34be54" uuid = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4" version = "0.10.13" [[CodecZlib]] deps = ["TranscodingStreams", "Zlib_jll"] git-tree-sha1 = "ded953804d019afa9a3f98981d99b33e3db7b6da" uuid = "944b1d66-785c-5afd-91f1-9de20f533193" version = "0.7.0" [[ColorSchemes]] deps = ["ColorTypes", "Colors", "FixedPointNumbers", "Random", "StaticArrays"] git-tree-sha1 = "ed268efe58512df8c7e224d2e170afd76dd6a417" uuid = "35d6a980-a343-548e-a6ea-1d62b119f2f4" version = "3.13.0" [[ColorTypes]] deps = ["FixedPointNumbers", "Random"] git-tree-sha1 = 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"StaticArrays", "Tables"] git-tree-sha1 = "000e168f5cc9aded17b6999a560b7c11dda69095" uuid = "09ab397b-f2b6-538f-b94a-2f83cf4a842a" version = "0.6.0" [[SuiteSparse]] deps = ["Libdl", "LinearAlgebra", "Serialization", "SparseArrays"] uuid = "4607b0f0-06f3-5cda-b6b1-a6196a1729e9" [[Suppressor]] git-tree-sha1 = "a819d77f31f83e5792a76081eee1ea6342ab8787" uuid = "fd094767-a336-5f1f-9728-57cf17d0bbfb" version = "0.2.0" [[TOML]] deps = ["Dates"] uuid = "fa267f1f-6049-4f14-aa54-33bafae1ed76" [[TableTraits]] deps = ["IteratorInterfaceExtensions"] git-tree-sha1 = "c06b2f539df1c6efa794486abfb6ed2022561a39" uuid = "3783bdb8-4a98-5b6b-af9a-565f29a5fe9c" version = "1.0.1" [[Tables]] deps = ["DataAPI", "DataValueInterfaces", "IteratorInterfaceExtensions", "LinearAlgebra", "TableTraits", "Test"] git-tree-sha1 = "8ed4a3ea724dac32670b062be3ef1c1de6773ae8" uuid = "bd369af6-aec1-5ad0-b16a-f7cc5008161c" version = "1.4.4" [[Tar]] deps = ["ArgTools", "SHA"] uuid = "a4e569a6-e804-4fa4-b0f3-eef7a1d5b13e" [[Test]] deps = ["InteractiveUtils", "Logging", "Random", "Serialization"] uuid = "8dfed614-e22c-5e08-85e1-65c5234f0b40" [[ThreadingUtilities]] deps = ["ManualMemory"] git-tree-sha1 = "593009385e6536dc50baedc2c8bc1a3717ef358f" uuid = "8290d209-cae3-49c0-8002-c8c24d57dab5" version = "0.4.5" [[TiledIteration]] deps = ["OffsetArrays"] git-tree-sha1 = "52c5f816857bfb3291c7d25420b1f4aca0a74d18" uuid = "06e1c1a7-607b-532d-9fad-de7d9aa2abac" version = "0.3.0" [[TranscodingStreams]] deps = ["Random", "Test"] git-tree-sha1 = "7c53c35547de1c5b9d46a4797cf6d8253807108c" uuid = "3bb67fe8-82b1-5028-8e26-92a6c54297fa" version = "0.9.5" [[TreeViews]] deps = ["Test"] git-tree-sha1 = "8d0d7a3fe2f30d6a7f833a5f19f7c7a5b396eae6" uuid = "a2a6695c-b41b-5b7d-aed9-dbfdeacea5d7" version = "0.3.0" [[URIs]] git-tree-sha1 = "97bbe755a53fe859669cd907f2d96aee8d2c1355" uuid = "5c2747f8-b7ea-4ff2-ba2e-563bfd36b1d4" version = "1.3.0" [[UUIDs]] deps = ["Random", "SHA"] uuid = "cf7118a7-6976-5b1a-9a39-7adc72f591a4" [[UnPack]] git-tree-sha1 = "387c1f73762231e86e0c9c5443ce3b4a0a9a0c2b" uuid = "3a884ed6-31ef-47d7-9d2a-63182c4928ed" version = "1.0.2" [[Unicode]] uuid = "4ec0a83e-493e-50e2-b9ac-8f72acf5a8f5" [[Unitful]] deps = ["ConstructionBase", "Dates", "LinearAlgebra", "Random"] git-tree-sha1 = "a981a8ef8714cba2fd9780b22fd7a469e7aaf56d" uuid = "1986cc42-f94f-5a68-af5c-568840ba703d" version = "1.9.0" [[UnitfulRecipes]] deps = ["RecipesBase", "Unitful"] git-tree-sha1 = "d0bd83ffda53773c3ed181c23fe5a5655d0ff41e" uuid = "42071c24-d89e-48dd-8a24-8a12d9b8861f" version = "1.4.0" [[VectorizationBase]] deps = ["ArrayInterface", "Hwloc", "IfElse", "Libdl", "LinearAlgebra", "Static"] git-tree-sha1 = "ddeac5d8aad03c17bdc8efd45246e82fc52d12f4" uuid = "3d5dd08c-fd9d-11e8-17fa-ed2836048c2f" version = "0.20.24" [[Wayland_jll]] deps = ["Artifacts", "Expat_jll", "JLLWrappers", "Libdl", "Libffi_jll", "Pkg", "XML2_jll"] git-tree-sha1 = "3e61f0b86f90dacb0bc0e73a0c5a83f6a8636e23" uuid = "a2964d1f-97da-50d4-b82a-358c7fce9d89" version = "1.19.0+0" [[Wayland_protocols_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Wayland_jll"] git-tree-sha1 = "2839f1c1296940218e35df0bbb220f2a79686670" uuid = "2381bf8a-dfd0-557d-9999-79630e7b1b91" version = "1.18.0+4" [[WeakRefStrings]] deps = ["DataAPI", "Random", "Test"] git-tree-sha1 = "28807f85197eaad3cbd2330386fac1dcb9e7e11d" uuid = "ea10d353-3f73-51f8-a26c-33c1cb351aa5" version = "0.6.2" [[WoodburyMatrices]] deps = ["LinearAlgebra", "SparseArrays"] git-tree-sha1 = "59e2ad8fd1591ea019a5259bd012d7aee15f995c" uuid = "efce3f68-66dc-5838-9240-27a6d6f5f9b6" version = "0.5.3" [[XML2_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Libiconv_jll", "Pkg", "Zlib_jll"] git-tree-sha1 = "1acf5bdf07aa0907e0a37d3718bb88d4b687b74a" uuid = "02c8fc9c-b97f-50b9-bbe4-9be30ff0a78a" version = "2.9.12+0" [[XSLT_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Libgcrypt_jll", "Libgpg_error_jll", "Libiconv_jll", "Pkg", "XML2_jll", "Zlib_jll"] git-tree-sha1 = "91844873c4085240b95e795f692c4cec4d805f8a" uuid = "aed1982a-8fda-507f-9586-7b0439959a61" version = "1.1.34+0" [[Xorg_libX11_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libxcb_jll", "Xorg_xtrans_jll"] git-tree-sha1 = "5be649d550f3f4b95308bf0183b82e2582876527" uuid = "4f6342f7-b3d2-589e-9d20-edeb45f2b2bc" version = "1.6.9+4" [[Xorg_libXau_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "4e490d5c960c314f33885790ed410ff3a94ce67e" uuid = "0c0b7dd1-d40b-584c-a123-a41640f87eec" version = "1.0.9+4" [[Xorg_libXcursor_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libXfixes_jll", "Xorg_libXrender_jll"] git-tree-sha1 = "12e0eb3bc634fa2080c1c37fccf56f7c22989afd" uuid = "935fb764-8cf2-53bf-bb30-45bb1f8bf724" version = "1.2.0+4" [[Xorg_libXdmcp_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "4fe47bd2247248125c428978740e18a681372dd4" uuid = "a3789734-cfe1-5b06-b2d0-1dd0d9d62d05" version = "1.1.3+4" [[Xorg_libXext_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libX11_jll"] git-tree-sha1 = "b7c0aa8c376b31e4852b360222848637f481f8c3" uuid = "1082639a-0dae-5f34-9b06-72781eeb8cb3" version = "1.3.4+4" [[Xorg_libXfixes_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libX11_jll"] git-tree-sha1 = "0e0dc7431e7a0587559f9294aeec269471c991a4" uuid = "d091e8ba-531a-589c-9de9-94069b037ed8" version = "5.0.3+4" [[Xorg_libXi_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libXext_jll", "Xorg_libXfixes_jll"] git-tree-sha1 = "89b52bc2160aadc84d707093930ef0bffa641246" uuid = "a51aa0fd-4e3c-5386-b890-e753decda492" version = "1.7.10+4" [[Xorg_libXinerama_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libXext_jll"] git-tree-sha1 = "26be8b1c342929259317d8b9f7b53bf2bb73b123" uuid = "d1454406-59df-5ea1-beac-c340f2130bc3" version = "1.1.4+4" [[Xorg_libXrandr_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libXext_jll", "Xorg_libXrender_jll"] git-tree-sha1 = "34cea83cb726fb58f325887bf0612c6b3fb17631" uuid = "ec84b674-ba8e-5d96-8ba1-2a689ba10484" version = "1.5.2+4" [[Xorg_libXrender_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libX11_jll"] git-tree-sha1 = "19560f30fd49f4d4efbe7002a1037f8c43d43b96" uuid = "ea2f1a96-1ddc-540d-b46f-429655e07cfa" version = "0.9.10+4" [[Xorg_libpthread_stubs_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "6783737e45d3c59a4a4c4091f5f88cdcf0908cbb" uuid = "14d82f49-176c-5ed1-bb49-ad3f5cbd8c74" version = "0.1.0+3" [[Xorg_libxcb_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "XSLT_jll", "Xorg_libXau_jll", "Xorg_libXdmcp_jll", "Xorg_libpthread_stubs_jll"] git-tree-sha1 = "daf17f441228e7a3833846cd048892861cff16d6" uuid = "c7cfdc94-dc32-55de-ac96-5a1b8d977c5b" version = "1.13.0+3" [[Xorg_libxkbfile_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libX11_jll"] git-tree-sha1 = "926af861744212db0eb001d9e40b5d16292080b2" uuid = "cc61e674-0454-545c-8b26-ed2c68acab7a" version = "1.1.0+4" [[Xorg_xcb_util_image_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_xcb_util_jll"] git-tree-sha1 = "0fab0a40349ba1cba2c1da699243396ff8e94b97" uuid = "12413925-8142-5f55-bb0e-6d7ca50bb09b" version = "0.4.0+1" [[Xorg_xcb_util_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libxcb_jll"] git-tree-sha1 = "e7fd7b2881fa2eaa72717420894d3938177862d1" uuid = "2def613f-5ad1-5310-b15b-b15d46f528f5" version = "0.4.0+1" [[Xorg_xcb_util_keysyms_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_xcb_util_jll"] git-tree-sha1 = "d1151e2c45a544f32441a567d1690e701ec89b00" uuid = "975044d2-76e6-5fbe-bf08-97ce7c6574c7" version = "0.4.0+1" [[Xorg_xcb_util_renderutil_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_xcb_util_jll"] git-tree-sha1 = "dfd7a8f38d4613b6a575253b3174dd991ca6183e" uuid = "0d47668e-0667-5a69-a72c-f761630bfb7e" version = "0.3.9+1" [[Xorg_xcb_util_wm_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_xcb_util_jll"] git-tree-sha1 = "e78d10aab01a4a154142c5006ed44fd9e8e31b67" uuid = "c22f9ab0-d5fe-5066-847c-f4bb1cd4e361" version = "0.4.1+1" [[Xorg_xkbcomp_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libxkbfile_jll"] git-tree-sha1 = "4bcbf660f6c2e714f87e960a171b119d06ee163b" uuid = "35661453-b289-5fab-8a00-3d9160c6a3a4" version = "1.4.2+4" [[Xorg_xkeyboard_config_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_xkbcomp_jll"] git-tree-sha1 = "5c8424f8a67c3f2209646d4425f3d415fee5931d" uuid = "33bec58e-1273-512f-9401-5d533626f822" version = "2.27.0+4" [[Xorg_xtrans_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "79c31e7844f6ecf779705fbc12146eb190b7d845" uuid = "c5fb5394-a638-5e4d-96e5-b29de1b5cf10" version = "1.4.0+3" [[Zlib_jll]] deps = ["Libdl"] uuid = "83775a58-1f1d-513f-b197-d71354ab007a" [[Zstd_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "cc4bf3fdde8b7e3e9fa0351bdeedba1cf3b7f6e6" uuid = "3161d3a3-bdf6-5164-811a-617609db77b4" version = "1.5.0+0" [[ZygoteRules]] deps = ["MacroTools"] git-tree-sha1 = "9e7a1e8ca60b742e508a315c17eef5211e7fbfd7" uuid = "700de1a5-db45-46bc-99cf-38207098b444" version = "0.2.1" [[libass_jll]] deps = ["Artifacts", "Bzip2_jll", "FreeType2_jll", "FriBidi_jll", "JLLWrappers", "Libdl", "Pkg", "Zlib_jll"] git-tree-sha1 = "acc685bcf777b2202a904cdcb49ad34c2fa1880c" uuid = "0ac62f75-1d6f-5e53-bd7c-93b484bb37c0" version = "0.14.0+4" [[libfdk_aac_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "7a5780a0d9c6864184b3a2eeeb833a0c871f00ab" uuid = "f638f0a6-7fb0-5443-88ba-1cc74229b280" version = "0.1.6+4" [[libpng_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Zlib_jll"] git-tree-sha1 = "94d180a6d2b5e55e447e2d27a29ed04fe79eb30c" uuid = "b53b4c65-9356-5827-b1ea-8c7a1a84506f" version = "1.6.38+0" [[libvorbis_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Ogg_jll", "Pkg"] git-tree-sha1 = "c45f4e40e7aafe9d086379e5578947ec8b95a8fb" uuid = "f27f6e37-5d2b-51aa-960f-b287f2bc3b7a" version = "1.3.7+0" [[nghttp2_jll]] deps = ["Artifacts", "Libdl"] uuid = "8e850ede-7688-5339-a07c-302acd2aaf8d" [[p7zip_jll]] deps = ["Artifacts", "Libdl"] uuid = "3f19e933-33d8-53b3-aaab-bd5110c3b7a0" [[x264_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "d713c1ce4deac133e3334ee12f4adff07f81778f" uuid = "1270edf5-f2f9-52d2-97e9-ab00b5d0237a" version = "2020.7.14+2" [[x265_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] git-tree-sha1 = "487da2f8f2f0c8ee0e83f39d13037d6bbf0a45ab" uuid = "dfaa095f-4041-5dcd-9319-2fabd8486b76" version = "3.0.0+3" [[xkbcommon_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Wayland_jll", "Wayland_protocols_jll", "Xorg_libxcb_jll", "Xorg_xkeyboard_config_jll"] git-tree-sha1 = "ece2350174195bb31de1a63bea3a41ae1aa593b6" uuid = "d8fb68d0-12a3-5cfd-a85a-d49703b185fd" version = "0.9.1+5" """ # ╔═╡ Cell order: # ╟─b0dd2638-2e67-4f29-899a-4dba8d25c960 # ╟─a1638e89-30b4-41e6-ae6c-9b0cd0c92fcd # ╟─604a6a0b-0fc4-47e4-9dc1-dbb56106852b # ╟─41e825fa-43e2-4b33-9e25-98145cb4eb63 # ╟─d2a72eda-685e-4033-acc4-d384f2816e80 # ╠═d8ac806d-99b8-4a69-a31d-a92711b274af # ╟─1d84e220-7bca-489b-83d8-87fe26398435 # ╟─1d5df523-879e-4398-849e-d4b21003dd12 # ╟─2b531ea8-87eb-4a63-aabc-e7520f18a893 # ╟─59304232-cf0f-47ec-b993-86afcd2cc227 # ╟─5473f343-4dd5-4aef-88c9-4287a876d7f9 # ╟─fc00184b-9bcc-4833-9fc8-49ef2efbd3af # ╟─ba54f82c-9e6c-409d-86bd-a85cc4609357 # ╟─38129859-df5e-4faa-a75c-8304b2bed55b # ╠═0a889312-d965-11eb-28e0-a72a1379850a # ╟─56bf3614-092d-4891-b1aa-7b2c5e1ddcbc # ╟─4bbffe2c-0520-4e7b-bf38-0857454336ef # ╠═35641e0f-537c-476a-86bd-d690d0989736 # ╟─cb8c4c09-6783-42c1-b114-d2a20dbfa3f7 # ╟─bcc5fa0f-7595-4a21-a057-1cbabf94a049 # ╟─d76ec9fb-77f4-4a14-afb2-713cbd03ffab # ╠═ba5fb3fa-b9f8-43c3-881c-0dc26c399b70 # 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