agrifoodpy.impact.model
=======================

.. py:module:: agrifoodpy.impact.model

.. autoapi-nested-parse::

   Module for impact intervention models



Functions
---------

.. autoapisummary::

   agrifoodpy.impact.model.fbs_impacts
   agrifoodpy.impact.model.fair_co2_only


Module Contents
---------------

.. py:function:: fbs_impacts(fbs, impact_element, population=None, sum_dims=None)

   Computes total impacts from quantities in a food balance sheet Dataset
   or food element quantity DataArray, summing over items, regions or years if
   instructed.

   :param fbs: Food Balance Sheet array with food quantities for a set of items,
               regions and/or years.
   :type fbs: xarray.DataArray or xarray.Dataset
   :param impact_element: Impact DataArray containing the impacts for set of items, regions
                          and/or years.
   :type impact_element: xarray.DataArray
   :param population: If given, the input impacts are considered per-capita values and
                      multiplied by the population array
   :type population: xarray.DataArray
   :param sum_dims: Dimension labels to sum over
   :type sum_dims: str

   :returns: **total_impact** -- Total impact computed from food balance sheet data and impact array
   :rtype: xarray.DataArray or xarray.Dataset


.. py:function:: fair_co2_only(emissions)

   Simple Interface to FaIR, the Finite-amplitude Impulse-Response
   atmosferic model.

   Computes the concentration, radiative forcing and temperature anomaly for
   an array of CO2 emissions per year assuming a clean atmosphere and default
   values for amosferic parameters.

   :param emissions: Array containing GHG emissions in Gt CO2e per year
   :type emissions: xarray.DataArray or xarray.Dataset

   :returns: * **T** (*xarray.DataArray*) -- Temperature anomaly in Kelvin degrees at the zero layer
             * **C** (*xarray.DataArray*) -- Atmosferic CO2e concetration in ppm
             * **F** (*xarray.DataArray*) -- Effective radiative forcing in W m^-2