Data set of emissions data first submitted to the UNFCCC by Annex-I countries in the Common Reporting Format (CRF), and processed at PIK for better usability and to follow the IPCC 2006 sectoral categorisations.

Name of software/data set: Downscaled RCP and SSP scenarios

Type (e.g. model, library, data prep script): data set

Published to people outside PIK?

Y

Open Source?

N

URL: https://zenodo.org/record/3638137#.X19-rYuxXb0

Free Form Comments (all further information you think might be useful for us in the context of the evaluation, e.g. this library has thousands of users, this model code underlies 12 Nature publications):

This dataset provides country scenarios, downscaled from the RCP (Representative Concentration Pathways) and SSP (Shared Socio-Economic Pathways) scenario databases, using results from the SSP GDP (Gross Domestic Product) country model results as drivers for the downscaling process harmonized to and combined with up to date historical data (PRIMAP-hist).

Name of software/data set: CLIMADA

Type (e.g. model, library, data prep script): stand-alone software package

Published to people outside PIK?

Y

Open Source?

Y

URL for Software (if available): https://github.com/CLIMADA-project/climada_python

URL for Documentation (if available): https://climada-python.readthedocs.io/en/stable/

Free Form Comments (all further information you think might be useful for us in the context of the evaluation, e.g. this library has thousands of users, this model code underlies 12 Nature publications): CLIMADA is not an original PIK software project, but its development is led by the Institute for Environmental Decisions at ETH Zurich. However, there are substantial contributions to CLIMADA by PIK members, with an emphasis on the modeling of river flood and tropical cyclone damages.

Name of software/data set: Agrimate

Type (e.g. model, library, data prep script): model

Published to people outside PIK?

Not yet.

Open Source?

Not yet (but will be).

URL for Software (if available): https://gitlab.pik-potsdam.de/agrimate/agrimate

URL for Documentation (if available): https://gitlab.pik-potsdam.de/agrimate/agrimate-documentation

Free Form Comments (all further information you think might be useful for us in the context of the evaluation, e.g. this library has thousands of users, this model code underlies 12 Nature publications):

  • Model of supply shock propagation in agricultural markets with high temporal resolution
  • Extension of the Acclimate model
  • Developed for the purpose of the RECEIPT project
  • Planned application: simulation of a food crisis in MENA countries after a crop failure in a major crop-producing region

Name of software/data set: TWIST, multi-TWIST

Type (e.g. model, library, data prep script): model

Published to people outside PIK?

Yes, a few collaborators

Open Source?

yes (TWIST), not yet (multi-TWIST) but will be

URL for Software (if available): https://gitlab.pik-potsdam.de/twist/twist-global-model

URL for Documentation (if available): https://iopscience.iop.org/article/10.1088/1748-9326/aa678e

Free Form Comments (all further information you think might be useful for us in the context of the evaluation, e.g. this library has thousands of users, this model code underlies 12 Nature publications):

  • Developed at PIK by Jacob Schewe and Christian Otto
  • Supply-demand model of short term (annual or bi-annual) price variations in agricultural markets and primarily intended to model the price of the main staple crops (wheat, rice, maize and soybean)
  • Available in two different versions, TWIST global model with annual time steps and multi-TWIST with multiple regions (5 world regions) and bi-annual time steps.