Edit VariableForm: Land use and land-use intensity - grid

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Explanation: Only annotate your own output variables and parameters. Corresponding variables are grouped, e.g. 'CO2, other GHG, CO, NMVOC emissions', to keep the collection surveyable. Types of variables are explained at the bottom of this form.

The user support system will also use the variable page as information page. So try to describe the variable from a model perspective. You can put an extensive description in the free text if necessary.

The addition (grid) should be placed after the name when the variable is grid based .

Label:
Enter a short description for this variable.
Short Description:
Enter description for this variable or group of variables.
Description:
Dimension:
Give the default unit for this variable or group of variables. See the unit directive.
Default unit:
Variable type:
Enter the source for the external parameter.
Parameter source (organisation, model, database):
Parameter Values based on:
If references are available, enter them here and separate items with semicolons (;).
Reference:
Drivers are organized in predefined groups.
Driver group:
Enter the source for the driver.
Driver source (organisation, model, database):
Driver values based on:
Reference:
Enter the source for the historical data.
Variable source (organisation, model, database):
If references are available, enter them here and separate items with semicolons (;).
Reference:

Variables are classified in drivers, model variables, model variables, model (end-indicator), parameters, external model variables and historical datas.

  • Drivers are external model variables that are used for the core models and have a considerable influence on scenarios.
  • Model variables are variables that are calculated by a model or impact component and are used as input for another model component.
  • Model variables, end-indicator are variables that are calculated by a model or impact component and are final output.
  • External parameters originate from external models, databases, or other sources.They are mostly used as input for one model component.
  • Historical variables are variables that are historical, such as 'Wet days'.

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