## Chat Transcript
Climate Models Knowledge Graph Exploration
👤 **User**
@climatemodelskg
---
🧠 **Assistant**
I'll help you explore the climatemodelskg knowledge graph. Let me start by getting information about this knowledge graph and understanding its structure.
Great! I now have access to the **Climate Models Knowledge Graph**, which is designed to support evaluation and development of climate models. Let me provide you with an overview:
### About Climate Models KG
This knowledge graph integrates structured information about climate models, experiments, and research outputs. It contains:
- **1.4 million triples** describing **55,890 entities** across **48 classes**
- Focus on climate model documentation, linking models to experiments, institutes, variables, and geographic coverage
- **394 Sources** (GCMs, RCMs) linked to **481 Experiments** conducted by **132 Institutes**
- **2,907 climate Variables** measured across extensive geographic coverage:
- 30,062 Cities
- 252 Countries
- 3,893 subdivisions
- ~400,000 geographic locations for regional climate models
- Supports CMIP6-related research and regional climate modeling studies
### Key Entity Types
The knowledge graph includes 47 different classes, such as:
- **Climate Models**: Source, Model, RCM (Regional Climate Models)
- **Experiments**: Experiment, ExperimentFamily, SubExperiment
- **Geographic Entities**: City, Country, Country_Subdivision, Continent
- **Climate Variables**: Temperature, precipitation, and other measurable quantities
- **Research Outputs**: Paper, Result, Method
- **Model Components**: PhysicalScheme, SourceComponent, Realm
- **Analysis Tools**: Metric, Instrument, ObservationalDataset
### What Can I Help You With?
I can help you:
1. **Explore climate models** - Find information about specific GCMs or RCMs
2. **Query experiments** - Discover which experiments were conducted, by whom, and with what models
3. **Analyze variables** - Find climate variables, their units, and relationships
4. **Research papers** - Search for papers by topic, method, or model
5. **Geographic queries** - Find models or experiments covering specific regions
6. **Relationships** - Explore how models, experiments, institutes, and variables connect
What would you like to explore in the Climate Models Knowledge Graph?
---
👤 **User**
Visualize schema
---
🧠 **Assistant**
I'll create a visual representation of the Climate Models KG schema using a Mermaid class diagram.
```mermaid
classDiagram
%% Core Climate Model Classes
class Source {
+uuid
Models (GCMs/RCMs)
}
class Model {
+name
Computational climate representation
}
class RCM {
+name
Regional Climate Model
}
class SourceComponent {
+name
Model component/module
}
class SourceType {
+name
Classification category
}
%% Experiment Classes
class Experiment {
+experiment_title
Climate model experiment
}
class ExperimentFamily {
+name
Group of related experiments
}
class SubExperiment {
+name
Experiment variant
}
class Ensemble {
+name
Collection of model runs
}
class Member {
+name
Individual ensemble member
}
%% Institution and Organization
class Institute {
+name
Research institution
}
class Project {
+name
Coordinated research initiative
}
class MIPEra {
+name
Model Intercomparison Project era
}
%% Variables and Data
class Variable {
+cf_standard_name
+variable_long_name
+variable_units
Measurable climate quantity
}
class ObservationalDataset {
+name
Empirical measurements
}
class Frequency {
+name
Temporal resolution
}
class Resolution {
+name
Spatial/temporal granularity
}
%% Physical and Environmental
class PhysicalScheme {
+name
Parameterization of processes
}
class Realm {
+name
Earth system component
}
class Domain {
+name
Spatial domain
}
class Forcing {
+name
External climate driver
}
class PhysicalFeature {
+name
Geographic characteristic
}
%% Geographic Classes
class City {
+name
Urban settlement
}
class Country {
+name
Sovereign nation
}
class Country_Subdivision {
+name
State/province/region
}
class Continent {
+name
Major landmass
}
class Water_Bodies {
+name
Lakes, rivers, seas, oceans
}
%% Research and Analysis
class Paper {
+id
+title
+paper_id
Scientific publication
}
class Method {
+name
Computational/analytical technique
}
class Metric {
+name
Quantitative measure
}
class Result {
+name
Outcome/finding
}
class Task {
+name
+paper_id
Specific objective
}
class Problem {
+name
Scientific challenge
}
class Innovation {
+name
Novel approach
}
class Field {
+name
Scientific discipline
}
class Keyword {
+name
Descriptive term
}
%% Events and Hazards
class Natural_Hazard {
+name
Naturally occurring risk event
}
class NaturalHazardType {
+name
Hazard category
}
class Weather_Event {
+name
+uuid
Meteorological occurrence
}
class Teleconnection {
+name
Climate pattern correlation
}
class Ocean_Circulation {
+name
+added_from_paper_id
Water movement patterns
}
%% Other Classes
class Activity {
+name
Climate modeling activity
}
class SimulationType {
+name
Simulation category
}
class GridLabel {
+name
Grid configuration identifier
}
class Instrument {
+name
Measurement device
}
class Platform {
+name
Computational infrastructure
}
%% Core Model Relationships
Source --|> RCM : specialization
Model --> Source : CORRESPONDS_TO
Source --> SourceComponent : HAS_SOURCE_COMPONENT
Source --> SourceType : IS_OF_TYPE
Source --> Source : INHERITED_FROM
Source --> SourceComponent : HAS_SUBSEQUENT_VERSION
%% Model Configuration
Source --> Realm : APPLIES_TO_REALM
Source --> PhysicalScheme : USES_PHYSICAL_SCHEME
Source --> PhysicalFeature : HAS_PHYSICAL_FEATURE
Source --> Metric : HAS_METRIC
Source --> SimulationType : HAS_SIMULATION_TYPE
%% Experiment Relationships
Source --> Experiment : USED_IN_EXPERIMENT
Experiment --> SubExperiment : HAS_SUB_EXPERIMENT
Experiment --> Ensemble : INCLUDES_ENSEMBLE_MEMBER
Experiment --> Institute : PERFORMED_BY_INSTITUTE
Experiment --> Forcing : USES_FORCING
ExperimentFamily --> Experiment : INCLUDES_EXPERIMENT
Source --> Ensemble : PART_OF_ENSEMBLE
%% Ensemble and Members
Source --> Member : ASSOCIATED_WITH_MEMBER
%% Institute and Organization
Source --> Institute : PRODUCED_BY_INSTITUTE
Source --> MIPEra : BELONGS_TO_MIP_ERA
Institute --> Project : PARTICIPATED_IN
RCM --> Project : PART_OF_PROJECT
%% Regional Climate Models
RCM --> Domain : COVERS_DOMAIN
RCM --> Water_Bodies : COVERS_REGION
RCM --> Source : DRIVEN_BY_SOURCE
%% Variables and Data
SourceComponent --> Variable : PRODUCES_VARIABLE
Variable --> Resolution : HAS_SPATIAL_RESOLUTION
Source --> Frequency : SAMPLED_AT_FREQUENCY
%% Activities
Source --> Activity : GENERATED_BY_ACTIVITY
Activity --> Realm : FOCUSES_ON_REALM
%% Geographic Relationships
Country_Subdivision --> Country : IN_COUNTRY
Country --> Continent : IN_CONTINENT
%% Paper Relationships
Paper --> Method : PAPER_APPLIES_METHOD
Paper --> Model : PAPER_HAS_MODEL
Paper --> Result : PAPER_HAS_RESULT
Paper --> Innovation : PAPER_HAS_INNOVATION
Paper --> Problem : PAPER_SOLVES_PROBLEM
Paper --> Task : PAPER_WORKS_ON_TASK
Paper --> Metric : PAPER_USES_METRIC
Paper --> Field : PAPER_BELONGS_TO_FIELD
Paper --> Keyword : PAPER_HAS_KEYWORD
Paper --> ObservationalDataset : PAPER_EXPERIMENTS_ON_OBSERVATIONAL_DATASET
Paper --> Natural_Hazard : PAPER_MENTIONS
%% Method Relationships
Method --> Model : METHOD_USES_MODEL
Method --> Result : METHOD_HAS_RESULT
Method --> Innovation : METHOD_HAS_INNOVATION
Method --> Problem : METHOD_SOLVES_PROBLEM
Method --> Task : METHOD_WORKS_ON_TASK
Method --> Metric : METHOD_USES_METRIC
Method --> ObservationalDataset : METHOD_EXPERIMENTS_ON_OBSERVATIONAL_DATASET
%% Model Relationships
Model --> Result : MODEL_HAS_RESULT
Model --> Problem : MODEL_SOLVES_PROBLEM
Model --> Task : MODEL_WORKS_FOR_TASK
Model --> Metric : MODEL_USES_METRIC
Model --> ObservationalDataset : MODEL_EXPERIMENTS_ON_OBSERVATIONAL_DATASET
%% Task Relationships
Task --> Problem : TASK_FACES_PROBLEM
Task --> Metric : TASK_USES_METRIC
Task --> ObservationalDataset : TASK_EXPERIMENTS_ON_OBSERVATIONAL_DATASET
%% Result Relationships
Result --> Metric : RESULT_HAS_METRIC
```
I've created a comprehensive visualization of the Climate Models KG schema! The diagram shows:
### Key Components:
**1. Core Model Classes**
- Source, Model, RCM (Regional Climate Models)
- SourceComponent, SourceType
**2. Experiment Infrastructure**
- Experiments, ExperimentFamily, SubExperiment
- Ensemble, Member
**3. Institutions & Organization**
- Institute, Project, MIPEra (Model Intercomparison Project eras)
**4. Variables & Data**
- Variable (with climate measurements)
- ObservationalDataset, Frequency, Resolution
**5. Physical Components**
- PhysicalScheme, Realm (atmosphere, ocean, land, ice)
- Domain, Forcing, PhysicalFeature
**6. Geographic Entities**
- City, Country, Country_Subdivision, Continent
- Water_Bodies
**7. Research & Analysis**
- Paper, Method, Metric, Result
- Task, Problem, Innovation, Field, Keyword
**8. Events & Phenomena**
- Natural_Hazard, Weather_Event
- Teleconnection, Ocean_Circulation
The relationships show how everything connects - from climate models being used in experiments conducted by institutes, to papers that apply methods to solve problems using specific models and producing results.
*Created by [mcp-proto-okn](https://github.com/sbl-sdsc/mcp-proto-okn) 0.5.0 on 2026-01-17*
Model: claude-sonnet-4-20250514
