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Research draft

climate

vr.tr.climate · INF.KNW

Let an agent handle climate by region, classification, normals, change and impacts, with sourced data and neutral presentation of policy debates.

Thing Registry Information and virtual systems

Research draft, second pass

A second pass drafted this model: the structure a model of this thing needs, and what is known about it in the world. The line under this one says how the second half was obtained - researched against sources, or recalled without web access, in which case nothing here was read anywhere and every claim is a lead to verify. Unreviewed either way.

written by Claude from model knowledge without web access - no source was read, every claim is a lead to verify

Researched by: Claude

Purpose and description

Let an agent handle climate by region, classification, normals, change and impacts, with sourced data and neutral presentation of policy debates.

The long-term pattern of weather in a region, usually described by averages and variability of temperature, precipitation, wind and other variables over 30 years or more; classified by systems such as Koppen-Geiger.

What it is for: Planning, agriculture, building design, health and understanding climate change.

It can be find climate normals for a place; classify climates; distinguish climate from weather; find climate change data and projections.

Distinguishing features

Long-term statistics

Regional types

Changing due to human influence

Drives ecosystems

What it looks like

Not directly visible; seen in landscapes, vegetation and long-term records.

How it is recognised

Koppen codes such as Cfb or Dfc

30-year normals

Weather is short-term

Related models

is a kind of - category

natural system

is studied by - field

climatology

is contrasted with - short-term

weather

is changing due to - process

climate change

In practice

Families and kinds

tropical climates

dry climates

temperate climates

continental and subarctic climates

polar and mountain climates

Identifiers

Koppen-Geiger code letters such as Cfb classification

Standards and regulation

WMO climate normals guidance

UN Framework Convention on Climate Change

Building codes using climate zones

Failure modes and hazards

Confusing weather and climate

Using outdated normals

Misrepresenting scientific consensus

Also called

mountain climatesubarctic climateMonsoon-influenced extremely cold subarctic climatecontinental climate without dry season and with cold summerExtremely cold subarctic climatecontinental subarctic climatemonsoon-influenced subarctic climatedry and cold summer continental climatedry-summer, cold-winter, continental climateclimate of Africamesoclimatesubtropical arid-semiarid climateStrahler-Zhou Shuzhen's climatic classificationbioclimatehydroclimateclimate normalclimate of South Americamonsoon climatepaleoclimateair pollutionclimate of Europearidmacroclimatetropical climaterefrigerated climateMesothermalcontinental climatepluvialhumid climatepolar climateClimate of BelarusIllyric climatetransition climateAstroclimateEarth's climatedry climateclimate of the Americasmicrothermalclimate of Asiasubtropical climate

+64

Where this came from

wikidata · CC0 1.0

Source repository Registry entry point

Also registered as vr.tr.climate-state

Drafted structure

Bundle to layer to finding to question, as the second pass will find it: 4 bundles · 8 layers · 8 findings · 16 questions.

Place Local climate.

Data describe climate.

Normals

30-year averages.

Normals

Climate normals.

  1. What are the climate normals for this place, from the national meteorological service? measurement
  2. For which reference period? provenance

Type

Classification.

Type

Climate type.

  1. Which climate classification applies? definition
  2. Which system is used? provenance
Change Climate change.

Science assesses change.

Observed

Trends.

Observed

Observed change.

  1. How has the climate here changed, according to observations? measurement
  2. Which assessment reports summarise it? provenance

Projections

Future.

Projections

Projections.

  1. What do projections show under different scenarios? provenance
  2. How uncertain are they? boundary
Impacts Effects.

Climate affects life.

Sectors

Agriculture, health.

Sectors

Sector impacts.

  1. How does climate affect this sector here? provenance
  2. Which studies show it? provenance

Adaptation

Responses.

Adaptation

Adaptation.

  1. Which adaptation measures are recommended locally? provenance
  2. Who is responsible? provenance
Handling Neutrality.

Science and policy differ.

Science

Consensus.

Science

Scientific assessment.

  1. Is scientific consensus represented accurately, with sources? boundary
  2. Which assessment body is cited? provenance

Policy

Debates.

Policy

Policy debates.

  1. Are policy positions attributed rather than endorsed? boundary
  2. Are multiple views represented fairly? boundary

What the second pass must settle

  • Should climate types be separate entries?
  • How should climate data portals be linked?
  • How should projections be presented?
Draft as JSON