SHAPE
“Sustainable development pathways achieving Human well-being while safeguarding the climate And Planet Earth”
The SHAPE project introduces the new term Sustainable Development Pathway or SDP for its scenarios, roughly analogous to SSPs. The SDPs simultaneously achieve the Sustainable Development Goals in 2030, maintain sustainable development thereafter, and meet the climate targets set out in the Paris Agreement.
Uses:
m-data:/model/buildings
m-data:/reference/model/material
m-data:/reference/model/transport
Project information
Website: http://shape-project.org
Part of AXIS, an ERA-NET initiated by JPI Climate and funded by DLR/BMBF (DE, Grant No. 01LS1907A-B-C), Formas (SE), FFG/BMWFW (AT), NWO (NL) and RCN (NO) with co-funding by the European Union (Grant No. 776608).
Project period: 2019-09 to 2022-08.
Data
data/shape/
contains common data for constructing scenarios.
These data quantify the SDP narratives (see link above) as future projections for certain quantities.
Modeling tools [1] should use exo_data.prepare_computer()
to configure SHAPE
to retrieve these quantities and select an appropriate scenario’s data for model setup calculations.
The files include:
gdp_v*.mif
,gdp_v*.xlsx
Gross Domestic Product.
Generated by Bjoern Soergel at PIK, using stylized GDP/capita growth rate modifications to represent three narratives from the “Economic paradigm, growth, inequality and finance” section of the SHAPE description. The narratives are identified by codes for the IAMC “Scenario” dimension:
“innovation”: “Cornucopia (market-driven innovation)”
“service”: “Human Service Economy (managing the global commons)”
“society”: “A New Public Economy (resilient communities)”
The files have multiple versions:
“v1p0” version 1.0.
“v1p1” version 1.1.
The extension
.mif
apparently means “modeling interchange file”; this is a CSV file with semicolon (;) delimiters.population_v*.mif
,population_v*.xlsx
Population.
The values are the same across all SDPs; the single code “all_SHAPE_SDPs” is used for the “Scenario” dimension.
The values are identical to the SSP1 population projection.
Todo
This is may not be true, because the data differ in some (unspecified) way between version 1.0 and 1.1. Locate an accurate description for these data.
Note
If true, this would imply that the same population data could be retrieved with
SSPOriginal
and underlying files, also stored in themessage_data
repository; so the filesdata/shape/population_*
are duplicates.gini_v*.csv
:Gini coefficients. Generated by Jihoon Min.
Normative Gini trajectories that will achieve SDG1 (No poverty) and SDG11 (Reduced inequalities) for most countries under the corresponding GDP projections (above), also in a stylized way.
Same dimensions as the GDP data.
v1.1 uses a slower rate of maximum Gini decrease to alleviate concerns about feasibility.
urbanization.csv
Generated by Alessio Mastrucci.
Three different codes are used for the “Scenario” dimension:
“urb_distr”
“urb_green”
“urb_tech”
Todo
Describe what these values represent.
Code reference
Handle data from the SHAPE project.
- message_ix_models.project.shape.data.INFO = {'gdp': {'latest': '1.2', 'suffix': '.mif', 'variable': 'GDP|PPP'}, 'gini': {'drop': ['tgt.achieved', 'Base gini imputed', 'Share of final consumption among GDP imputed'], 'latest': '1.1', 'suffix': '.csv', 'variable': 'Gini'}, 'population': {'latest': '1.2', 'suffix': '.mif', 'variable': 'Population'}, 'urbanisation': {'drop': ['Notes'], 'latest': '1.0', 'suffix': '.csv', 'variable': 'Population|Urban|Share'}}
Information about data file version, suffixes, “variable” codes, and extra columns to drop.
- class message_ix_models.project.shape.data.SHAPE(source, source_kw)[source]
Provider of exogenous data from the SHAPE project data source.
To use data from this source, call
exo_data.prepare_computer()
with the arguments:source: “SHAPE”.
source_kw including:
measure: one of the keys of
INFO
.version (optional): “latest” (default) or a version string like “1.2”.
scenario: one of the SHAPE “SDP” scenario names.
aggregate, interpolate: see
ExoDataSource.transform()
.
- message_ix_models.project.shape.data.UNITS = {'%': '', 'NA': 'dimensionless', 'billion $2005/yr': 'GUSD_2005 / year'}
Convert unit forms appearing in files to pint-compatible expressions.