Climatology
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.
Climatologyconnects toEarth & Space Sciences
Shared concepts
Shared thinking patterns
Why this bridge exists
Desertification depends on Climate change — desertification depends on climate change.
Explore this connection →Climatologyconnects toGeography
Shared thinking patterns
Why this bridge exists
Greenhouse gas causes Greenhouse effect — greenhouse gas causes Greenhouse effect.
Explore this connection →Climatologyconnects toPhysics
Shared thinking patterns
Why this bridge exists
Greenhouse gas causes Greenhouse effect — greenhouse gas causes Greenhouse effect.
Explore this connection →Climatologyconnects toEnvironmental Science
Shared thinking patterns
Why this bridge exists
Climate science explains Climate change — It explains observed change.
Explore this connection →Climatologyconnects toAtmospheric Science
Shared thinking patterns
Why this bridge exists
Greenhouse gas causes Greenhouse effect — greenhouse gas causes Greenhouse effect.
Explore this connection →Climatologyconnects toMeteorology
Shared thinking patterns
Why this bridge exists
Climate model models Climate — climate model models Climate.
Explore this connection →Climatologyconnects toBiology
Shared thinking patterns
Why this bridge exists
Reinforcing loop causes Exponential growth — Reinforcing loops drive exponential growth.
Explore this connection →Climatologyconnects toEconomics
Shared concepts
Shared thinking patterns
Why this bridge exists
Reinforcing loop causes Exponential growth — Reinforcing loops drive exponential growth.
Explore this connection →
Field shape — representation health
53/100 overall · 14 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 53/100 — relation-poor. Strongest: cross-disciplinary, taxonomy. Thinnest: factual depth, provenance.
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
87% of its relations reach into 23 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 53 representation-health is below the 55 median of 219 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.
atlas representation · Measures the current Thinking OS representation, not the quality or importance of the field.
29% of its concepts have a single connection (mean internal degree 0.6) — 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).
- Reinforcing loopreachesAlgebraAtmospheric ScienceBiologyComplexity ScienceEcologyEngineeringFinanceGeographyHuman-Computer InteractionMathematicsPhysicsSystems Biology
- Climate modelreachesAtmospheric ScienceClimate ScienceEnvironmental ScienceGeographyMathematical ModellingMathematicsMeteorologyPhysicsSystems Science
- Carbon sinkreachesBiologyChemistryEnvironmental ScienceForestryGeographyGeologySustainability Science
- SeasonalityreachesAtmospheric ScienceBiologyEarth & Space SciencesEnvironmental ScienceGeographyMeteorologyPhysics
- Tipping pointreachesAtmospheric ScienceEconomicsEnvironmental ScienceGeographyMeteorologyPhysicsSystems Science
- Climate changereachesAtmospheric ScienceClimate ScienceEnvironmental ScienceGeographyMeteorologyPhysics
Mental models that recur here
Feedback loop ×6
A loop where an effect feeds back to change its own cause. Reinforcing loops amplify change; balancing loops resist it.
Thresholds & tipping points ×5
A level below which little happens and above which the behaviour changes sharply — sometimes irreversibly.
Compounding ×1
When each step's growth is added to the base so the next step grows too — producing accelerating, exponential change rather than a steady line.
Information ×1
Anything that reduces uncertainty. It can be encoded into a signal, sent across a channel, and decoded — and noise can corrupt it on the way.
People represented in this atlas
People tagged with this lens who have a recorded contribution. Not exhaustive, and not a ranking.
- Julius von Hann
1839–1921
- Milutin Milanković
1879–1958
- Georg Kaser
1953–present
- 14 concepts are viewed through this lens.
- 9 of them bridge into other disciplines.
- Its signature thinking pattern is “Feedback loop” (recurs in 6 concepts).
- The most common kind of connection here is “Cause & effect”.
- It is most tightly linked to Earth & Space Sciences.
Derived from the current graph structure — observations, not a judgement of the field.