Meteorology
The scientific study of the atmosphere and its phenomena, especially the processes that produce weather and enable forecasting.
A discipline is a lens, not an owner — the same idea can be viewed through many.
Concepts viewed through this lens
These numbers describe the current Thinking OS knowledge slice, not the whole field.
Disciplines it bridges to
Each bridge is built by ideas the two fields share, the thinking patterns that recur across both, and a representative relationship that shows how they connect.
Meteorologyconnects toEarth & Space Sciences
Shared concepts
Shared thinking patterns
Why this bridge exists
Climate model models Climate — climate model models Climate.
Explore this connection →Meteorologyconnects toPhysics
Shared concepts
Shared thinking patterns
Why this bridge exists
Convection causes Heat transfer — convection causes heat transfer.
Explore this connection →Meteorologyconnects toChemistry
Shared thinking patterns
Why this bridge exists
Weather front causes Precipitation — weather front causes precipitation.
Explore this connection →Meteorologyconnects toGeography
Shared concepts
Shared thinking patterns
Why this bridge exists
Climate influences Agriculture — Climate strongly influences agriculture.
Explore this connection →Meteorologyconnects toAtmospheric Science
Shared concepts
Shared thinking patterns
Why this bridge exists
Weather front causes Precipitation — weather front causes precipitation.
Explore this connection →Meteorologyconnects toClimatology
Shared thinking patterns
Why this bridge exists
Climate model models Climate — climate model models Climate.
Explore this connection →Meteorologyconnects toThermodynamics
Shared concepts
Shared thinking patterns
Why this bridge exists
Convection causes Heat transfer — convection causes heat transfer.
Explore this connection →Meteorologyconnects toBiology
Shared thinking patterns
Why this bridge exists
Climate influences Agriculture — Climate strongly influences agriculture.
Explore this connection →
Field shape — representation health
61/100 overall · 18 concepts
The eight dimensions measure Thinking OS coverage of this field, not the quality or importance of the discipline.
What kind of structure is this field?
Interpreted from the current atlas — how this field is represented, not a judgement of the field.
Representation health 61/100 — dense but shallow. Strongest: cross-disciplinary, taxonomy. Thinnest: factual depth, provenance.
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
80% of its relations reach into 29 other disciplines — an outward-facing field in the atlas.
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
Its 61 representation-health is above the 55 median of 210 similarly-sized disciplines (comparable by concept count).
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
Current atlas gaps: no dated concepts · no equations stored.
atlas representation · Measures the current Thinking OS representation, not the quality or importance of the field.
28% of its concepts have a single connection (mean internal degree 1.4) — a fairly cohesive internal structure.
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
How this lens connects
The kinds of relationship that characterise this discipline lens in the current slice.
Coverage matrix
How these concepts distribute across domains and concept families — real counts, not a score.
Ideas that connect this discipline outward
Concepts viewed through this lens that reach disciplines it does not itself carry — concept-level bridges (distinct from the discipline-to-discipline bridges below).
- ClimatereachesAgricultureAstronomyBiologyClimate ScienceClimatologyComplexity ScienceEarth & Space SciencesEcologyEconomicsEngineeringGeometryMathematical ModellingMathematicsOceanographyStatistical PhysicsSystems EngineeringSystems Science
- TemperaturereachesAstronomyAtmospheric ScienceChemical EngineeringChemistryEarth & Space SciencesEnvironmental SciencePhysical ChemistryThermodynamics
- AtmospherereachesAstronomyChemistryClimatologyEarth & Space SciencesGeologyPlanetary Science
- Water cyclereachesBiologyChemistryGlaciologyOceanography
- HumidityreachesAtmospheric ScienceBiologyChemistryOceanography
- WeatherreachesGeographyPhysicsStatistical Physics
Mental models that recur here
Stocks and flows ×3
A stock is an amount that accumulates; flows are the rates that add to or drain it. The stock changes only when inflow and outflow differ.
Feedback loop ×2
A loop where an effect feeds back to change its own cause. Reinforcing loops amplify change; balancing loops resist it.
Conservation ×1
Some quantity stays constant no matter how a system rearranges — it can move or transform but is never created or destroyed.
Emergence ×1
When many simple parts interacting by simple rules produce a pattern or behaviour that none of the parts has on its own.
Learning journeys that use it
People represented in this atlas
People tagged with this lens who have a recorded contribution. Not exhaustive, and not a ranking.
- Evangelista Torricelli
1608–1647
- Wasaburo Oishi
1874–1950
- Felix Maria von Exner-Ewarten
1876–1930
- 18 concepts are viewed through this lens.
- 11 of them bridge into other disciplines.
- Its signature thinking pattern is “Stocks and flows” (recurs in 3 concepts).
- The most common kind of connection here is “Kind & structure”.
- It is most tightly linked to Earth & Space Sciences.
Derived from the current graph structure — observations, not a judgement of the field.