[GEOS-Chem] (http://acmg.seas.harvard.edu/geos/)
GEOS–Chem is a global 3-D chemical transport model for atmospheric composition. It is applied by research groups around the world to a wide range of atmospheric composition problems. GEOS–Chem is a grass-roots community model owned by its users, managed by the GEOS–Chem Support Team, and based at Harvard University and Dalhousie University.
German Green Growth Model, contact: Franziska Schuetze
The German Green Growth Model (GGGM) project (funded by BMU, Bewertungsmodul Klimapolitik, Förderkennzeichen 03KSE041, May 2012 – December 2014) develops a module for assessing costs and benefits of German energy and climate policy measures in a macro-economic context. Based on a dialogue with experts and potential users, the module is designed in such a way that it can complement existing detailed models of specific sectors. It will be available as open source software and via the representation of multiple equilibria it will allow to identify win-win strategies for climate policy. It is an agent-based model, written in Scala, which estimates the influence of CO2 intensive sectors on the macro-economy.
Furthermore they work on a climate adaptation project.
Open Data
EnergyMap
Quality tested raw data of Germans network operators in a consistent data format (.csv). Initiated by DGS and ralsolar.
Energizair
Set up of an operational “renewable energy weather forecast” tool in France, Italy, Portugal, Slovenia and Belgium on a weekly basis at first: Production data and energy needs covering indicators about three technologies: PV, solar thermal and wind turbines.