Offering data at a good resolution: The GHG emissions data repository offers the evaluator access to a wealth of estimated GHG emissions data from various models and data used in these models. The data from specific estimations are in the form of gridded spatial data and others in time series. However, gridded spatial data are not always of a high enough resolution to facilitate their use in spatial statistics and counterfactual modelling. Nevertheless, specific data offers a very good resolution of less than 10x10 km.
Time series data for climate-related indicators: The repository provides time series data for the three gases (CO2, CH4 and N2O) and various fluxes, including different land uses at the national level. Time series data is essential for evaluators who examine changes in climate indicators throughout the implementation period of a programme and need to assess the programme or other events with these indicators. Time series data is also very useful for ex post evaluations, which analyse effects some time after the programme has ended.
For example, Interrupted Time Series Analysis can provide a quantitative estimate of the effects of a policy on GHG emissions and isolate it from the concurrent action of other events, such as a production slowdown due to COVID-19. Notably, time-series data can be used for tracking progress towards mitigation targets or nationally determined contributions towards the Paris Agreement.
Provision of harmonised data: The database provides harmonised data used as inputs in different models, independently supporting the evaluation of other indicators and impacts. For example, the database includes climate data, land use and soil data, fertiliser management data. The database can be accessed for free after registration, and data are downloaded in NetCDF format, including metadata.