MODELNAMEHERE Documentation
MODELNAMEHERE (Some Acronym Depends) is an integrated Python/Julia model used to facilitate exploratory analyses of decarbonization transformations too sectors at the country level. It
Check out the General Data section to get started.
Metavariables and Constructing Input Parameters
This document makes use of the $VARNAME$ notation to denote metavariables as components of variable schema. These variable schema are used to store data in the model_input_variables.csv file.
For example, model input variables used to denote agricultural activity emission factors by crop type and gas in model_input_variables.csv may have the following structure:
ef_agactivity_$CAT-AGRICULTURE$_$UNIT-MASS$_$EMISSION-GAS$_$UNIT-AREA$, where
$CAT-AGRICULTURE$is the categorical crop type (e.g., cereals, oil crops, pulses, etc.);$EMISSION-GAS$is the greenhouse gas that is being emitted (e.g.co2,ch4, orn2o)$UNIT-MASS$is the unit of mass for gas emission (e.g.,kgfor kilograms; some sector variables may useggfor gigagrams);$UNIT-AREA$is the area unit (e.g.,hais hectares).
These components are referred to as metavariables–they characterize and describe the notation for naming model input variables. Each variable is associated with some naming schema, which presents a standardized format for variable entry depending on the relevant metavariables.
Note
Example: the \(\text{CO}_2\) emission factor for maize crop production, which captures crop burning, decomposition, and other factors, would be entered as ef_agactivity_maize_kg_co2_ha since, in this case, $CAT-AGRICULTURE$ = maize, $EMISSION-GAS$ = co2, $UNIT-AREA$ = ha, and $UNIT-MASS$ = kg. Similarly, the \(\text{N}_2\text{O}\) factor, which includes crop liming and fertilization, would be captured as ef_agactivity_maize_kg_n2o_ha.
Contents
- Analytical Parameters
- Dimensions of Analysis
- General Data
- Economic impact model
- Agriculture, Forestry, and Land Use (AFOLU)
- Circular Economy
- Energy
- Industrial Processes and Product Use (IPPU)