a Framework to Advance Climate, Economic, and Impact Investigations with Information TechnologyRead More
Chicago Climate Online (C2O), a policy initiative of the University of Chicago Law School, is a climate change policy research tool that seeks to become a preeminent policy resource for researchers. It combines features of Wikipedia -- with summaries of current knowledge on climate policy topics -- and a database -- with a list of research articles on those topics. It is an open-access research tool that allows users to also upload, create, and organize their own content.
The focus of C2O is on policy issues, not climate science. Although climate science continues to develop rapidly, we take the core of existing climate science as given. C2O is not a place to debate the validity of this science. The interconnectedness of policy and science, however, makes clear demarcation between the two impossible. C2O was developed with a primary focus on climate change policy, with inclusion of more science-focused topics and references only as necessary.
The major policy instruments for mitigating climate change actually in use in the U.S. are subsidies provided to renewable energy. A popular means of subsidy is through state-level Renewable Portfolio Standards (RPSs), requirements enacted by many states that require a certain fraction of electricity must be derived from renewables. However, many state RPSs are infeasible because of “cost cap” provisions that do not permit renewables to be sufficiently competitive, and feasibility is generally not assessed before legislation is passed. The RPS calculator allows the user to explore the conditions for RPS success or failure in different states. The user can analyze and modify existing state statutes or design new statutes in states that do not have them. Users can explore the effects of parameters such as electricity prices, generation costs for wind and solar, interest rates, technology carveouts, and cost cap structure. Features under development include extension to all U.S. states (currently only IL and CA) and spatial variation in wind speed (wind capacity factor map).
Current: Elisabeth Moyer
Alumni: Sean Johnson | Lexi Goldberger | Joe Zhu
The Community Integrated Model for Energy and Resource Trajectories for Humankind (CIM-EARTH) is an open-source modeling framework that allows for the easy specification of computable general equilibrium models, running the resulting simulations, and analyzing the results. This framework is meant to increase both the quality and transparency of integrated assessment modeling by providing open source modeling tools that incorporate the most modern computational methods.
- The AMPL-Source CIM-EARTH Framework (ASCEF) is a first version of the CIM-EARTH framework.
- To facilitate adoption and the integration of advanced data processing and analysis services, we undertook an effort to move the implementation from AMPL to C++ and to adopt standard input and output formats. The result is what we call the Open-Source CIM-EARTH Framework (OSCEF).
- CE-Trade: The trade model is used for studying the impacts on international trade of policies relevant to carbon mitigation. In particular, this model is used to assess carbon leakage and mechanisms such as border tax adjustments to reduce leakage.
- CE-Energy: The energy model expands core capabilities of CIM-EARTH in order to represent the energy sector in ways more appropriate for policy analysis> The model disaggregated the representation of the U.S. electric power system to include renewable and non-renewable sources, peak and base-load power, and transmission.
- CE-Bio: The bio model simulates the economics and lifecycle of biofuel production and use, including a detailed representation of the biofuels market, agriculture, and related services.
- CE-Life: The distributional impacts model disaggregates the US consumers in the CE-Trade model by income and age, resulting in a model with 720 distinct consumers.
Structure of the production functions in the baseline CE model:
- Trade and carbon taxes.
- Unilateral carbon taxes, border adjustments, and carbon leakage.
- Can a unilateral carbon tax reduce emissions elsewhere?
- Analytical general equilibrium effects of energy policy on output and factor prices.
- Modeling of Land-Use Changes and Other Indirect Effects of Biofuel Production in CIM-EARTH.
- Impact on US Gasoline Prices of Eliminating Biofuels Production: An Equilibrium Analysis
Fernando Perez Cervantes | Sou Cheng Choi | Joshua Elliott | Ian Foster | Don Fullerton | Kenneth Judd | Gita Khun Jush | Samuel Kortum | Margaret Loudermilk | Elisabeth Moyer | Todd Munson | Nirupama Rao | David Weisbach
To characterize climate change impacts in long range simulations using economic and Integrated Assessment (IA) models, we are also developing statistical emulators (i.e. response functions) that map from inputs (e.g. irrigation and fertilizer application) and atmospheric conditions (e.g. atmospheric CO2 and regional temperature and precipitation measures) to agricultural productivity measures at a variety of scales. We are developing a number of aggregation and scaling methodologies to translate high-resolution gridded products to decision-relevant environmental and political scales (e.g. county, watershed, or national boundaries). These methodologies must be versatile enough to map vulnerability, impact, and adaptation (VIA) measures to arbitrary spatial scales, while consistently tracking ensemble uncertainty information throughout.
The emulation tool provides statistical representations of the behaviors of a number of general circulation models (GCMs) from different research groups. The emulator is designed to mimic how the larger models would have responded, and can provide projections of regional temperatures for any user-chosen scenario of future CO2 concentrations.
The emulator is ‘trained’ on publicly-available model simulations of scenarios specified for the IPCC 5th Assessment Report. Users can explore emulated model responses to three IPCC scenarios (RCPs 2.6, 4.5, and 8.5) and one scenario of continuous exponential growth in CO2. Users can also upload their own CO2 scenarios.
SCREENSHOTS OF THE CLIMATE EMULATOR TOOL
Statistical emulation of climate model output involves using a ‘training set’ of simulations for each model to fit the parameters of a simple statistical model that describes the climate response to changing CO2 concentrations. In the tool here, each region is fit separately.
The training set used is archived GCM simulations made as part of the Coupled Model Intercomparison Project 5 (CMIP5), and archived at the Earth Systems Grid database (available from various sites, including here or here). The simulations use CO2 scenarios developed for the Intergovernmental Panel on Climate Change 5th Assessment Report. These ‘Representative Concentration Pathways’, or RCPs, describe the CO2 concentrations associated with various potential emissions scenarios (see graphic on the left). Where available, we use RCP 4.5, RCP 6.0, and RCP 8.5 as the training set. For some models that did not archive all scenarios, we use only RCP 4.5 and RCP 8.5.
The statistical model used for emulation is described in detail in Castruccio et al 2013