About CLIMACAP-LAMP
The Integrated Climate Modelling and Capacity Building Project in Latin America (CLIMACAP) was a European Commission funded effort focused on analyzing the effects of mitigation strategies in key Latin American Countries. The Latin American Modeling Project (LAMP) was a similar effort funded by the U.S. Environmental Protection Agency and the U.S. Agency for International Development. The projects collaborated to develop a multi-model comparison project focused on mitigation in Latin America. The study compared results of approximately 10 energy-economic and integrated assessment models, focusing on results for Latin American regions.
CLIMACAP was a 3-year research project (started in February 2013), with participants from Argentina, Brazil, Mexico, Colombia, Europe, and the US.
The project was coordinated by ECN (Lead: Bob van der Zwaan and James Falzon). LAMP was a multi-year research project (started in January 2012),
with participants from Brazil, Colombia, Mexico, Europe, and the US. The project was coordinated by PNNL (Leads: Kate Calvin and Leon Clarke).
The study has been documented in a Special Issue of Energy Economics. Data contained in this database is available for public use, but should be cited as:
van der Zwaan, B.C.C., K. Calvin, L. Clarke (Guest Editors), “Climate Mitigation in Latin America: implications for energy and land use”,
Introduction to the Special Issue on the findings of the CLIMACAP-LAMP project, Energy Economics, 2015.
A short tutorial on the use of the web database can be found below. If you experience technical problems with this database, please contact the CLIMACAP-LAMP Database Administrator.
A short tutorial on the use of the database
The Navigation tabs
At the upper end of the browser window five navigation tabs can be found that provide different functionality of the web database. These tabs are described in more detail in the following section.About tab
The About tab provides information about the database and gives instructions on how to use the database. The Regions, Sectors and Series tabs all allow to view the scenarios in the database. The difference between these three tabs for viewing is the way how scenario data can be combined for viewing.
Regions tab
The Regions tab allows selecting a single variable from a single scenario (e.g. total GDP in Market Exchange Rate for a baseline scenario from a specific model) in order to compare this selection across different regions. For variables that can be added in a meaningful way (e.g. GDP, total primary energy consumption) the graph that appears on the right hand side will be a stacked are graph while for variables that are not additive (e.g. price information) a line graph will be displayed.
Sectors tab
The Sectors tab allows selecting multiple variables from a single scenario and region. This view is most useful for displaying a set of variables from one sector, for example, all fuel types of industrial final energy consumption. Again, if the variables can be added in a meaningful way (e.g. different fuel types of one sector) a stacked area graph is shown; if this is not possible (e.g. for different fuel prices) a line graph is displayed. In case variables with different units are selected a warning is issued on the y-axis label of the graph in red. Please note that it is necessary to mark a variable name (so that it appears highlighted in blue) in addition to selecting variables for the graph on the right hand side to be updated (see also under (3.) Variables below).
Series tab
The Series tab allows selecting a single variable from multiple scenarios and regions. The preview graph on the right is always a line graph and is most useful to compare trends across different scenarios (and models) in one or multiple regions.
Common Features of the Regions, Sectors and Series tabs
In all three view tabs the following selections can be made in the navigation bars on the upper left-hand side of the browser window:(1.) Regions: In the upper left area of the screen is a field named Regions. Depending on the tab (see above) you may select one or multiple regions for which the data is shown on the screen. The regions are organized in the two folders, the World and RC5 Regions.
(2.) Scenarios: This field includes the list of scenarios from which one or more scenarios can be selected. In addition to scenarios, for a number of variables historical and base year data can be shown to compare with scenario results.
(3.) Variables: In this field the variables can be selected for which the data is shown on the screen. Note that in the Sectors tab it is necessary to not only required to tick one or multiple variables for selection, but also to mark a variable name (so that is appears highlighted in blue) for the graph on the right hand side to be updated. It is not important which variable or variable category is marked to initiate the graph update. The definition of variables can be found in the standardized data template.
The Chart Preview on the upper right-hand side of the browser window shows the graph of the selected data (variable + scenarios + regions). In addition, the horizontally oriented Query Results area in the middle of the screen shows the data in tabular format.
It is possible to export the data either into Excel or two different graphical formats (PNG = portable network graphics, SVG = scalable vector graphics). In order to do so, select one of the options in the Output Options window at the bottom of the browser window. The field titled Notes shows additional information or explanatory text for the selected variables. The availability of notes is still under development and ultimate the contents will depend on input from modeling teams.
Download tab
The Download tab offers the possibility to download the entire content of the AR5 Scenario Database in one file, a zip archive that contains the data and comments provided by modeling teams about specific models, scenarios, variablesin or regions in csv format. To download the entire database it is necessary to enter your name and e-mail address (see privacy policy). In case of updates (e.g., error corrections in the underlying database) we will inform you by sending an e-mail to the address that you supply above.
Region definitions
The consolitated results in the database are shown at regional aggregations of the World, the Latin America region, and four individual countries.
Updates
The table below contains a list of the different versions of the CLIMACAP-LAMP Scenario Database and which updates have been released since its publication. Users that have registered and downloaded the full data set via the Download tab, will be notified via e-mail in case of future updates.
| Version | Date | Change |
| 1.0.0 | 07/13/2015 | CLIMACAP-LAMP Scenario Database made public |
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Privacy policy
This privacy policy sets out how IIASA uses and protects any information that you give IIASA when you use this database. IIASA is committed to ensuring that your privacy is protected. Should we ask you to provide certain information by which you can be identified when using this website, then you can be assured that it will only be used in accordance with this privacy statement. IIASA may change this policy from time to time by updating this page. You should check this page from time to time to ensure that you are happy with any changes. This policy is effective from 17 June 2014. IIASA collects the following information:
- Name
- E-mail address
- Details of the datasets downloaded
- Internal record keeping
- To notify you if a downloaded dataset has been updated.
CLIMACAP-LAMPDB Database, 2015
Available at: https://tntcat.iiasa.ac.at/CLIMACAP-LAMPDB
Responsible for this page: CLIMACAP-LAMP Database Administrator