A number of GHG emissions scenarios have been published for the purpose of analyzing the effects of global warming and mitigation policies. These emissions scenarios vary according to methodologies of the studies and policy requirements. It is therefore important to organize the available information, analyze the differences among the various scenarios, and examine the range of results and their reliability. For the purpose of providing common information to researchers and policy makers throughout the world, we have developed a database for the past IPCC reports, such as SRES (Special Report on Emissions Scenarios), TAR (Third Assessment Report) and AR4 (Fourth Assessment Report).
This database is designed by using Microsoft(R) Access2003 and it is possible for anyone to retrieve the compiled data as required. In order to use the graphic function in this database, you also need Microsoft(R) Excel2003. In addition, Adobe Acrobat Reader is required to read the operating manual.
The database of the simple edition, that includes only major indices such as GDP, Population, CO2, etc., can be downloaded from the following URL:
The following indices are available on the database of the simple edition.
This database includes scenarios of the past IPCC reports, such as SRES (Special Report on Emissions Scenarios), TAR (Third Assessment Report) and AR4 (Fourth Assessment Report) as well as scenarios not related to IPCC reports.
Each piece of scenario information includes data on authors, reference, model type, scenario type, regional aggregation, variables and other related information. Data are stored in five-year increments from 1985 up to 2100.
The scenarios in the database were collected from more than 1,000 different literature sources and from other scenario-evaluation sources, such as the International Energy Workshop Poll, the Energy Modeling Forum, and Intergovernmental Panel on Climate Change (IPCC) reports, as well as directly from individual researcher.
Data can be selected with "Data Selection Wizard".
Selected data is displayed in the table below. The selected data can be output to external files.
Basic information of each literature source is displayed, such as model name, published year, research institute, authors, scenario types, target regions.
With the pivot table, you can make graphs of selected data. (Example) Total CO2 Emission
By using the selected data, characteristics of scenarios from different literature sources can be analyzed. The following figure shows an example analysis: relationship of the cumulative CO2 emissions (from 2000 to 2100) and the transitions of energy intensity.
The database of the simple edition shown above includes only major indices. If you require all of data collected in this research project, including data such as NO2, SO2, fluorocarbons and so on, the database of the complete edition is also available from the following URL: