# Test

### From IMAGE

## Contents

- 1 All variables per component to check
- 2 Agricultural economy
- 3 Air pollution and energy policies
- 4 Aquatic biodiversity
- 5 Atmospheric composition and climate
- 6 Carbon cycle and natural vegetation
- 7 Climate policy
- 8 Crops and grass
- 9 Drivers
- 10 Ecosystem services
- 11 Emissions
- 12 Energy conversion
- 13 Energy demand
- 14 Energy supply
- 15 Flood risks
- 16 Forest management
- 17 Human development
- 18 Land and biodiversity policies
- 19 Land cover and land use
- 20 Land degradation
- 21 Land-use allocation
- 22 Livestock systems
- 23 Nutrients
- 24 Terrestrial biodiversity
- 25 Water

### All variables per component to check

### Agricultural economy

InputVariables:- Biofuel policy (driver)
- Capital supply (driver)
- GDP per capita (driver)
- Labour supply (driver)
- Land supply (model (from/to model))

- Population (driver)
- Potential crop and grass yield - grid (model (from/to model))
- Technological change (crops and livestocks) (driver)
- Trade policy (driver)

- Income and price elasticities (external parameter)

- Commodity price (model (end-indicator))
- Crop production (model (from/to model))
- Demand (all commodities) (model (end-indicator))
- Food availability per capita (model (from/to model))

- Livestock production (model (from/to model))
- Management intensity crops (model (from/to model))
- Management intensity livestock (model (from/to model))
- Trade (all commodities) (model (end-indicator))

### Air pollution and energy policies

InputVariables:

Parameters:

### Aquatic biodiversity

InputVariables:- Land cover, land use - grid (model (from/to model))
- N and P discharge to surface water - grid (model (from/to model))

- River discharge - grid (model (from/to model))

- Digital water network - grid (external parameter)
- Empirical MSA effect values (external parameter)
- GLWD (global lakes and wetlands database) - grid (external parameter)

- Lake depth - grid (external parameter)
- Water temperature - grid (external parameter)

- Algal blooms in lakes (model (end-indicator))

- Aquatic MSA - grid (model (end-indicator))

### Atmospheric composition and climate

InputVariables:- BC, OC and NOx emissions (model (from/to model))
- CO and NMVOC emissions (model (from/to model))
- CO2 emission from energy and industry (model (from/to model))
- Cloudiness - grid (historical data)
- Land-use CO2 emissions - grid (model (from/to model))

- NEP (net ecosystem production) - grid (model (from/to model))
- Non-CO2 GHG emissions (CH4, N2O and Halocarbons) (model (from/to model))
- Number of wet days - grid (historical data)
- SO2 emissions (model (from/to model))

- GCM pattern (temperature, precipitation) - grid (external parameter)
- MAGICC parameter settings (external parameter)

- Radiative forcing factors (external parameter)
- Sulphate pattern - grid (external parameter)

- CO2 concentration (model (from/to model))
- Cloudiness - grid (historical data)
- Global mean temperature (model (from/to model))
- Non-CO2 GHG concentrations (model (end-indicator))
- Number of wet days - grid (historical data)

- Ocean carbon uptake (model (from/to model))
- Precipitation - grid (model (from/to model))
- Radiative forcing (model (end-indicator))
- Temperature - grid (model (from/to model))

### Carbon cycle and natural vegetation

InputVariables:- CO2 concentration (model (from/to model))
- Cloudiness - grid (historical data)
- Forest management type - grid (model (from/to model))
- Irrigation water supply - grid (model (from/to model))
- Land cover, land use - grid (model (from/to model))

- Number of wet days - grid (historical data)
- Precipitation - grid (model (from/to model))
- Temperature - grid (model (from/to model))
- Timber use fraction (model (from/to model))

- Soil properties - grid (external parameter)

- Carbon pools in soil and timber - grid (model (from/to model))
- Carbon pools in vegetation - grid (model (from/to model))
- Land-use CO2 emissions - grid (model (from/to model))
- NEP (net ecosystem production) - grid (model (from/to model))

- NPP (net primary production) - grid (model (from/to model))
- Potential natural vegetation - grid (model (from/to model))
- Soil respiration - grid (model (end-indicator))
- Terrestrial C balance

### Climate policy

InputVariables:- Adaptation level (driver)
- BC, OC and NOx emissions (model (from/to model))
- CO and NMVOC emissions (model (from/to model))
- CO2 emission from energy and industry (model (from/to model))
- Climate target (driver)
- Domestic climate policy (driver)
- Equity principles (driver)

- GDP per capita (driver)
- Land-use CO2 emissions - grid (model (from/to model))
- Marginal abatement cost (model (from/to model))
- Non-CO2 GHG emissions (CH4, N2O and Halocarbons) (model (from/to model))
- Population (driver)
- SO2 emissions (model (from/to model))

- Other energy and land-use models (external parameter)

- Adaptation costs (model (end-indicator))
- Carbon price (model (from/to model))
- Consumption loss (model (end-indicator))
- Emission abatement (model (from/to model))

- Emission trading (model (end-indicator))
- Global emission pathways (model (end-indicator))
- Mitigation costs (model (end-indicator))
- Residual damage (model (end-indicator))

### Crops and grass

InputVariables:- Change in soil properties - grid (model (from/to model))
- Cloudiness - grid (historical data)
- Irrigation water supply - grid (model (from/to model))
- Land cover, land use - grid (model (from/to model))

- Management intensity crops (model (from/to model))
- Number of wet days - grid (historical data)
- Precipitation - grid (model (from/to model))
- Temperature - grid (model (from/to model))

- Residue management (external parameter)

- Soil properties - grid (external parameter)

- Actual crop and grass production - grid (model (from/to model))
- Crop irrigation water demand - grid (model (from/to model))
- Irrigation water consumption - grid (model (end-indicator))

- Potential bioenergy yield - grid (model (from/to model))
- Potential crop and grass yield - grid (model (from/to model))
- Rainwater consumption - grid (model (end-indicator))

### Drivers

InputVariables:

Parameters:

### Ecosystem services

InputVariables:- Cloudiness - grid (historical data)
- Crop production (model (from/to model))
- Erosion risk - grid (model (from/to model))
- GDP per capita - grid (driver)
- Land use and land-use intensity - grid (model (from/to model))
- Livestock production (model (from/to model))
- NEP (net ecosystem production) - grid (model (from/to model))

- Number of wet days - grid (historical data)
- Ocean carbon uptake (model (from/to model))
- Precipitation - grid (model (from/to model))
- Protected area - grid (driver)
- River discharge - grid (model (from/to model))
- Statistics on inundation depth - grid (model (from/to model))
- Temperature - grid (model (from/to model))

- Accessibility - grid (external parameter)
- Distance to water - grid (external parameter)
- Ecosystem services effect values (external parameter)

- Fish landing - grid (external parameter)
- No-go areas - grid (external parameter)
- Topography - grid (external parameter)

- Carbon sequestration - grid (model (end-indicator))
- Flood protection - grid (model (end-indicator))
- Food availability, including fish and wild food (model (end-indicator))
- Pollination - grid (model (end-indicator))

- Presence of natural pest control - grid (model (end-indicator))
- Reduced erosion risk - grid (model (end-indicator))
- Suitability for nature-based tourism - grid (model (end-indicator))
- Water availability - grid (model (end-indicator))

### Emissions

InputVariables:- Animal stocks (model (from/to model))
- Emission abatement (model (from/to model))
- Energy and industry activity level (model (from/to model))

- Feed crop requirement (model (from/to model))
- GDP per capita (driver)
- Land cover, land use - grid (model (from/to model))

- Emission factors (external parameter)

- Relationship income and emission factor (external parameter)

- BC, OC and NOx emissions (model (from/to model))
- CO and NMVOC emissions (model (from/to model))
- CO2 emission from energy and industry (model (from/to model))

- Nitrogen deposition - grid (model (from/to model))
- Non-CO2 GHG emissions (CH4, N2O and Halocarbons) (model (from/to model))
- SO2 emissions (model (from/to model))

### Energy conversion

InputVariables:- Air pollution policy (driver)
- Carbon price (model (from/to model))
- Carbon storage price (model (from/to model))
- Demand for electricity, heat and hydrogen (model (from/to model))

- Energy policy (driver)
- Primary energy price (model (from/to model))
- Technology development of energy conversion (driver)

- Initial technology cost (external parameter)

- Rules on use of technology (external parameter)

- CO2 stored (model (end-indicator))
- Demand for primary energy (model (from/to model))

- Electricity price (model (from/to model))
- Energy and industry activity level (model (from/to model))

### Energy demand

InputVariables:- Electricity price (model (from/to model))
- Energy efficiency technology (driver)
- Energy intensity parameters (driver)
- GDP per capita (driver)
- Lifestyle parameters (driver)
- Population (driver)

- Preferences (driver)
- Primary energy price (model (from/to model))
- Private consumption (driver)
- Sector value added (driver)
- Taxes and other additional costs (driver)

- Exogenously set market shares (external parameter)

- Demand for electricity, heat and hydrogen (model (from/to model))
- Demand for fossil fuels and bioenergy (model (end-indicator))
- Demand traditional biomass (model (from/to model))

- Energy and industry activity level (model (from/to model))
- People dependent on solid fuel (model (from/to model))

### Energy supply

InputVariables:- Demand for primary energy (model (from/to model))
- Energy resources (driver)
- Land supply for bioenergy - grid (model (from/to model))
- Learning rate (driver)

- Potential bioenergy yield - grid (model (from/to model))
- Technology development of energy supply (driver)
- Trade restriction (driver)

- Initial production costs (external parameter)

- Bioenergy production (model (from/to model))
- Carbon storage price (model (from/to model))
- Energy and industry activity level (model (from/to model))
- Energy security indicators (model (end-indicator))

- Marginal abatement cost (model (from/to model))
- Primary energy price (model (from/to model))
- Total primary energy supply (model (end-indicator))

### Flood risks

InputVariables:- GDP per capita - grid (driver)
- Land cover, land use - grid (model (from/to model))
- Population - grid (driver)

- Precipitation - grid (model (from/to model))
- Temperature - grid (model (from/to model))

- Coastal storm surges (external parameter)
- Daily climate dataset - grid (external parameter)

- Flood statistics - grid (external parameter)
- Topography, elevation - grid (external parameter)

- Expected nr of affected people - grid (model (end-indicator))
- Expected value of affected GDP - grid (model (end-indicator))
- Statistics of inundation extent - grid (model (end-indicator))

- Statistics on inundation depth - grid (model (from/to model))
- Statistics on river discharge - grid (model (end-indicator))

### Forest management

InputVariables:- Carbon pools in vegetation - grid (model (from/to model))
- Demand traditional biomass (model (from/to model))
- Forest plantation demand (driver)
- Fraction of selective logging (driver)

- Harvest efficiency (driver)
- Land cover, land use - grid (model (from/to model))
- Land suitability - grid (model (from/to model))
- Timber demand (driver)

- FAO deforestation rates (external parameter)

- Traditional biomass from non-forest land (external parameter)

- Degraded forest area (model (from/to model))
- Forest management type - grid (model (from/to model))
- Forest residues (model (end-indicator))

- Harvested wood (model (from/to model))
- Regrowth forest area - grid (model (from/to model))
- Timber use fraction (model (from/to model))

### Human development

InputVariables:- BC, OC and NOx emissions (model (from/to model))
- Food availability per capita (model (from/to model))
- GDP per capita (driver)
- GINI coefficient (driver)
- People dependent on solid fuel (model (from/to model))

- Population - grid (driver)
- Precipitation - grid (model (from/to model))
- SO2 emissions (model (from/to model))
- Temperature - grid (model (from/to model))
- Urban population fraction (driver)

Parameters:

- Access to drinking water and sanitation (model (end-indicator))
- Child mortality (model (end-indicator))
- Child underweight (model (end-indicator))
- DALYs (disability-adjusted life years) (model (end-indicator))

- HDI (human development index) (model (end-indicator))
- Life expectancy (model (end-indicator))
- People living on less then USD 1.25 per day (model (end-indicator))
- Prevalence of undernourishment (model (end-indicator))

### Land and biodiversity policies

InputVariables:

Parameters:

### Land cover and land use

InputVariables:- Agricultural area - grid (model (from/to model))
- Animal stock
- Bioenergy area (model (from/to model))
- Built-up area - grid (driver)
- Carbon pools in soil and timber - grid (model (from/to model))
- Carbon pools in vegetation - grid (model (from/to model))
- Change in soil properties - grid (model (from/to model))
- Crop fraction in agricultural area - grid (model (from/to model))
- Degraded forest area (model (from/to model))
- Extensive grassland area - grid (model (from/to model))
- Forest management type - grid (model (from/to model))
- Harvested wood (model (from/to model))

- Intensive grassland area (model (from/to model))
- Irrigation water withdrawal - grid (model (from/to model))
- Land systems - grid (model (from/to model))
- MSA (mean species abundance) - grid (model (from/to model))
- Management intensity crops (model (from/to model))
- Management intensity livestock (model (from/to model))
- NPP (net primary production) - grid (model (from/to model))
- Potential natural vegetation - grid (model (from/to model))
- Protected area - grid (driver)
- Regrowth forest area - grid (model (from/to model))
- Water withdrawal other sectors - grid (model (from/to model))

Parameters:

- Land cover, land use - grid (model (from/to model))
- Land supply (model (from/to model))

- Land supply for bioenergy - grid (model (from/to model))

### Land degradation

InputVariables:- Land cover, land use - grid (model (from/to model))
- Number of wet days - grid (historical data)

- Precipitation - grid (model (from/to model))
- Temperature - grid (model (from/to model))

- Initial land cover, land use - grid (external parameter)
- Initial temperature, precipitation - grid (external parameter)
- Land management

- Slope - grid (external parameter)
- Soil types and profiles (S-World) (external parameter)
- Weighting factors for temperature, precipitation, land use and slope (external parameter)

- Change in soil properties - grid (model (from/to model))

- Erosion risk - grid (model (from/to model))

### Land-use allocation

InputVariables:- Bioenergy production (model (from/to model))
- Crop production (model (from/to model))
- Grass requirement (model (from/to model))
- Increase in irrigated area - grid (driver)
- Land cover, land use - grid (model (from/to model))

- Management intensity crops (model (from/to model))
- Population - grid (driver)
- Potential crop and grass yield - grid (model (from/to model))
- Protected area - grid (driver)
- River discharge - grid (model (from/to model))

- Accessibility - grid (external parameter)
- CLUmondo specific input - grid (external parameter)
- Other crops (external parameter)

- Regression parameters (external parameter)
- Slope - grid (external parameter)

- Agricultural area - grid (model (from/to model))
- Bioenergy area (model (from/to model))
- Crop fraction in agricultural area - grid (model (from/to model))
- Extensive grassland area - grid (model (from/to model))

- Intensive grassland area (model (from/to model))
- Land suitability - grid (model (from/to model))
- Land systems - grid (model (from/to model))

### Livestock systems

InputVariables:- Animal productivity (driver)
- Feed conversion (driver)
- Livestock production (model (from/to model))

- Livestock rations (driver)
- Management intensity livestock (model (from/to model))
- Production system mix (driver)

Parameters:

- Animal stocks (model (from/to model))
- Feed crop requirement (model (from/to model))

- Grass requirement (model (from/to model))

### Nutrients

InputVariables:- Actual crop and grass production - grid (model (from/to model))
- Animal stocks (model (from/to model))
- Fertiliser use efficiency (driver)
- GDP per capita - grid (driver)
- Land cover, land use - grid (model (from/to model))

- Livestock rations (driver)
- Manure spreading fraction (driver)
- Nitrogen deposition - grid (model (from/to model))
- Population - grid (driver)
- Production system mix (driver)

Parameters:

- N and P discharge to surface water - grid (model (from/to model))
- N and P in wastewater discharge - grid (model (end-indicator))
- NH3 emissions - grid (model (end-indicator))

- Soil N budget - grid (model (end-indicator))
- Soil P budget - grid (model (end-indicator))

### Terrestrial biodiversity

InputVariables:- Global mean temperature (model (from/to model))
- Land cover, land use - grid (model (from/to model))
- Management intensity crops (model (from/to model))

- Management intensity livestock (model (from/to model))
- Nitrogen deposition - grid (model (from/to model))
- Protected area - grid (driver)

- Biome and eco-region - grid (external parameter)
- High resolution land cover (GLC2000) - grid (external parameter)
- MSA effect values (external parameter)

- Nitrogen critical load (external parameter)
- Road-map - grid (external parameter)
- Species-area relationships (external parameter)

- Land use and land-use intensity - grid (model (from/to model))
- MSA (mean species abundance) - grid (model (from/to model))

- SRI (species richness index) - grid (model (end-indicator))
- Wilderness area - grid (model (end-indicator))

### Water

InputVariables:- Crop irrigation water demand - grid (model (from/to model))
- Irrigation conveyance efficiency (driver)
- Irrigation project efficiency (driver)

- Land cover, land use - grid (model (from/to model))
- Precipitation - grid (model (from/to model))
- Temperature - grid (model (from/to model))

- Digital water network - grid (external parameter)
- LOD (location of dams and reservoirs) (external parameter)

- Soil properties - grid (external parameter)
- Water demand other sectors - grid (external parameter)

- Irrigation water supply - grid (model (from/to model))
- Irrigation water withdrawal - grid (model (from/to model))
- River discharge - grid (model (from/to model))

- Water stress - grid (model (end-indicator))
- Water withdrawal other sectors - grid (model (from/to model))