Software

The CIM-EARTH project will produce and release a variety of computational tools for building, running, and analyzing the results of models aimed at studying the human dimensions of climate change. These tools will allow researchers from around the world to build their own CIM-EARTH modules and to construct meta-applications for building integrated model variants. Other CIM-EARTH components will include data analysis tools, statistical model emulators, parallel optimization tools, full releases of the underlying CIM-EARTH code suite, and many more. These components will be made available here as they are developed, and/or on a regular biannual release schedule.

image

Analysis Tools

As of August 1 2009 we have run ~50,000 CPU hours of simulations with the CIM-EARTH v0.1 economic model prototype. This run focused on testing the model and scaling up the parallelization, measuring the propagation of data errors, and establishing baseline sensitivity estimations for ‘business-as-usual’ scenarios for a first policy study of carbon leakage and climate policy in the fall of 2009. In the interest of transparency, and as a tool to facilitate education on and discussion of economics and climate change, we have implemented some basic tools for data visualization. We will update and expand the range of tools and available data as the project progresses. Data from the initial prototype run can be plotted and explored here. We present this material purely to illustrate the sort of tools we are developing: the v0.1 prototype is not yet at a point where forecasts can be taken seriously.


image

Motion chart
Use the MotionChart tool to plot multiple variables against one another and see how they evolve over time, and to test correlations in the data set and explore the time dependence of many variables at once.

 
image

Time-series graphs
Use the graphing tool to display time-series of variables along with sensitivity ranges from our initial prototype runs.

 
image

Mapping utility
Visualize categorized data in pie charts on Google Maps/Google Earth.