Design¶
aneris is designed to connect a series of modular components that enable the processing of IAM scenario data into climate-model-ready data. The following modules are currently supported:
Harmonization: aligns IAM model data with historical data
Downscaling: provides higher-resolution data from IAM data
Gridding: provides grid-level data from high-resolution IAM data
Climate: uses IAM emission data to generate concentration timeseries using an openscm-aware climate model
All Module interfaces are designed to be inheritable to support third-party implementations. A top-level Workflow can be configured to create process workflows that utilize either the standard Module`s provided with the `aneris package, or third-party variants if they are installed.
Harmonization¶
The Harmonization module takes as input
IAM model data at a given region and variable (sector and gas by default) resolution
Historical data at a given region and variable (sector and gas by default) resolution
Decision logic to decide which method to use for harmonization (see below examples) (optional)
It then harmonizes the IAM data to historical data based either on default logic or via user-provided logic.
It provides as output
Harmonized data at the same region and variable (sector and gas by default) resolution
The module is described in more detail in the following sections
Todo
Add documentaion for logic
Downscaling¶
The Downscaling module implements different downscaling routines to enhance the spatial resolution of data. It reqiures
IAM model data at a given region and variable (sector and gas by default) resolution - in a standard workflow, this would be the output of the Harmonization module
Historical data at a given variable (sector and gas by default) resolution and higher spatial resolution (e.g., at the country-level)
Scenario data (e.g., population, GDP - depending on the downscaling method used) at higher spatial resolution (the same as the historical data)
Decision logic mapping each sector or gas to a downscaling method (optional)
Warning
Historical data is assumed to be consistent with model data in the first model time period.
It provides as output
IAM data at a given variable (sector and gas by default) resolution and at the higher spatial resolution of the historical data used
Todo
Add documentaion for logic
Gridding¶
The Gridding module generates spatial grids of emissions data compliant with CMIP/ESGF dataformats
It takes as input
IAM data at the country-level defined by emissions species and sector - normally an output of the Downscaling module
Gridded data of proxy patterns
A mapping of which proxy patterns to use for which emissions species and sector
It provides as output
Gridded IAM data at the provided emissions species and sector levels with ESGF-compliant metadata
Todo
Add documentaion for installing pattern files
Climate¶
Todo
Develop in tandem with openscm developers
Workflow¶
Todo
Write documentation once we have some example workflows
