CLIMATE PHYSICS AI / ADRIAN DUNKLEY

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The full view retains the technical content, figures and sources. The plain-language explanation introduces the ideas without changing the findings.

Terms explained

P6 · INTERACTIVE 3D COMPANION

Test soil heat flux and temperature error

Watch heat move through a synthetic soil column. Compare the hidden temperature with estimates made using a perturbed flux and a local safeguard.

The question
The scene is explained by the stage captions and model notes below.
Real geographic contextCalculated synthetic fields
ReferenceEstimate

Loading the 3D scene…

0:00 / 0:45

Assumed diffusivity multiplier for the synthetic column.

Assumed replacement error, not the error of a paper checkpoint.

Local operator-error budget in the synthetic column’s time units; not a measured operating threshold.

Drag to rotate. Focus the scene to zoom with the wheel; arrow keys rotate and + / − zoom. Click a cell to inspect its transfers.

The question

Does a more tightly checked heat-transfer calculation recover a hidden temperature more accurately? Follow the observed depths and the hidden target in the constructed soil column.

Synthetic soil profile; the displayed temperatures and errors are not results from the paper’s USCRN stations.

Data, views and methods

Calculated values

What this browser model represents

The two columns show a constructed 0–50 cm soil profile and the selected comparison field. The outlined depth is the hidden 20 cm target. Gold markers beside the estimate show the calculated model flux; they are illustrative transfer markers, not individual molecules.

The browser perturbs an exact heat flux and checks the local operator error. Its constructed reference also contains a source omitted from the comparison models, so a small operator error need not give a small temperature error. No paper neural-flux checkpoint is trained or loaded.

The paper’s task is retrospective reconstruction with full-window auxiliary observations. This viewer does not demonstrate operational forecasts or a sensor-failure deployment.

Method in the paper

∂ₜT = κ₀ ∂z[g(θ) ∂zT]

The paper’s assumed heat equation uses observed moisture θ in a prescribed multiplier g. Given moisture, it is linear in temperature.

Assumed equation in P6

local operator error ≠ recovered-field error

The gate checks a known local map and its derivative. That does not bound model mismatch or the final temperature reconstruction.

Teacher and gate in P6

Geography and figure design

Terrain is a sampled Mapzen/Tilezen elevation mesh, with a 62.5 m display spacing over an 8 km square. Source tiles have approximately 36 m pixel spacing at this latitude; display spacing does not establish survey accuracy. Colours show the calculated field, while terrain heights provide location context. WebGL displays a 129 × 129 terrain grid; the CPU compatibility view resamples the same elevations to 33 × 33 for responsiveness. Neither display resolution is an accuracy claim. The location selector does not change the numerical model. P6 soil columns and P7 touching heat cells use diagram dimensions. Changing the cube count changes the synthetic lattice and replays the elapsed scenario; it does not refine an atmospheric forecast. P8 markers use requested pilot coordinates, with illustrative model values. P1 column heights repeat rainfall, or absolute error in Difference view, at diagram scale; they are not millimetres on the terrain. P8 column heights repeat the probability or absolute error; their signs come from the colour scale and inspector. P6 shows zero in the reference column when displaying error. Coastline extrusion, sensor shapes, heat-volume sizes and particle speeds are explanatory symbols; they are not surveyed buildings, physical parcel sizes or measured motion.

Sources: Mapzen/Tilezen Terrain Tiles; USGS and NOAA terrain attribution; Natural Earth, public domain. Regional outlines are at 1:10 million, displayed with an equirectangular projection at 17°N. Terrain uses a local equirectangular display. Elevation exaggeration is shown above the scene.

Sequential field colours follow viridis; signed errors use a centred blue–orange scale. The colour limits stay fixed as the example runs; values outside them are counted in the legend. The plan view removes perspective. Figure design follows Crameri et al. (2020); pause and reduced motion follow WCAG motion guidance. The browser export retains a source caption. No atmospheric model skill follows from this animation.

Asset versions and checksums · Coordinate definitions · Numerical model source

Source sections

Neural flux stencils and oracle-assisted safeguards for soil-temperature reconstruction: a controlled negative result

Terms explained

Select a term to read its meaning in this study.

Reconstruction

Estimating missing states using information from an observation window. When later observations help estimate an earlier state, the task differs from forecasting the future.

Flux

The rate at which a quantity crosses a surface. A transfer over a time interval is the accumulated amount that crosses it.

Oracle

An exact or specially informed calculation available inside an experiment. A method that needs this information may not be usable when the correct answer is unknown.

PINN

A physics-informed neural network: a learned function trained partly by penalising disagreement with specified equations. A small penalty does not prove that every prediction is physically correct.

RMSE

Root-mean-square error. It measures the size of prediction errors and gives larger errors extra weight. Lower is better when the data and units are the same.