Published
climate
vr.tr.climate · thing-q7937
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 INF.KNW
Bundle → Layer → Finding → QuestionsClassifiersWhat it isWhy it existsDistinguishing featuresWhat robots and AI may and may not doMoral aspectsOwnersLinks to other meta-modelsIdentity and identifiersDirect propertiesRecognitionCapabilities and actionsHazards and failure modesStandards and interfacesContext of useSources
Bundle → Layer → Finding → Questions Filled
4 bundles · 8 layers · 8 findings · 16 questions
Place Local climate.
Normals
30-year averages.
Normals
Climate normals.
- What are the climate normals for this place, from the national meteorological service? measurement
- For which reference period? provenance
Type
Classification.
Type
Climate type.
- Which climate classification applies? definition
- Which system is used? provenance
Change Climate change.
Observed
Trends.
Observed
Observed change.
- How has the climate here changed, according to observations? measurement
- Which assessment reports summarise it? provenance
Projections
Future.
Projections
Projections.
- What do projections show under different scenarios? provenance
- How uncertain are they? boundary
Impacts Effects.
Sectors
Agriculture, health.
Sectors
Sector impacts.
- How does climate affect this sector here? provenance
- Which studies show it? provenance
Adaptation
Responses.
Adaptation
Adaptation.
- Which adaptation measures are recommended locally? provenance
- Who is responsible? provenance
Handling Neutrality.
Science
Consensus.
Science
Scientific assessment.
- Is scientific consensus represented accurately, with sources? boundary
- Which assessment body is cited? provenance
Policy
Debates.
Policy
Policy debates.
- Are policy positions attributed rather than endorsed? boundary
- Are multiple views represented fairly? boundary
Classifiers Filled
- Family
- Thing Registry
- Category
- Information and virtual systems
- Entry kind
- thing
- Plane
- INF
- Domain
- INF.KNW
- Other names and narrower kinds
- mountain climate, subarctic climate, Monsoon-influenced extremely cold subarctic climate, continental climate without dry season and with cold summer, Extremely cold subarctic climate, continental subarctic climate, monsoon-influenced subarctic climate, dry and cold summer continental climate, dry-summer, cold-winter, continental climate, climate of Africa, mesoclimate, subtropical arid-semiarid climate
What it is Filled
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.
Why it exists Filled
Let an agent handle climate by region, classification, normals, change and impacts, with sourced data and neutral presentation of policy debates.
Distinguishing features Filled
- Long-term statistics
- Regional types
- Changing due to human influence
- Drives ecosystems
What robots and AI may and may not do Filled
Must not
- Present one hot or cold spell as proof or disproof of climate change.
- Misrepresent the scientific consensus or the uncertainty in climate projections.
- Alter or cherry-pick climate records to support a claim.
- Present climate projections as precise local forecasts.
Only with a human decision
- Using climate projections in decisions on planning, insurance or investment that affect people.
May
- Report climate normals and trends from national weather services and assessment reports, citing them.
- Explain the difference between climate and weather and what a 30-year average shows.
Moral aspects Filled
- Climate change falls hardest on people who contributed least to it.
- Misinformation about climate delays decisions that protect lives.
Who is affected
- Communities exposed to climate risk
- Future generations
- Farmers and coastal residents
Owners Filled
Steward
The public: held in common; national weather services keep the records.
Master systems
- National climate records of weather services
Links to other meta-models Filled
parent
- Q106865236 - registry parent class
- Q1293220 - registry parent class
- Q52139 - registry parent class
related
- natural system - category
- climatology - field
- weather - short-term
- climate change - process
What else AI and robots need to interact with it Filled
Identity and identifiers required Filled
- Vercy registry: vr.tr.climate
- Wikidata: Q7937 (https://www.wikidata.org/wiki/Q7937)
- Koppen-Geiger code: letters such as Cfb classification
Direct properties not applicable Not applicable
Not applicable
Plane INF: no invented physical properties.
Recognition optional Filled
- Koppen codes such as Cfb or Dfc
- 30-year normals
- Weather is short-term
- Not directly visible; seen in landscapes, vegetation and long-term records.
Capabilities and actions required Filled
- find climate normals for a place
- classify climates
- distinguish climate from weather
- find climate change data and projections
Hazards and failure modes required Filled
- Confusing weather and climate
- Using outdated normals
- Misrepresenting scientific consensus
Standards and interfaces required Filled
- WMO climate normals guidance
- UN Framework Convention on Climate Change
- Building codes using climate zones
Context of use required Filled
- Planning, agriculture, building design, health and understanding climate change.
- tropical climates
- dry climates
- temperate climates
- continental and subarctic climates
- polar and mountain climates
Sources Filled
- Wikidata item Q7937: climate - identity and sense of the item
- Wikipedia: Climate - general description of the item
Open questions
- Should climate types be separate entries?
- How should climate data portals be linked?
- How should projections be presented?
Machine files
Provenance
thing registry research (pass 2) · unreviewed
Built from: models/things/publications/thing-q7937/spec.json