Atmospheric and Meteorological Modeling
WRF-Chem The Weather Research and Forecasting (WRF) model is a next- generation meteorological model being developed collaboratively among several agencies, including NOAA/NCEP, NOAA/ESRL, and NCAR. WRF-Chem is a version of WRF that also simulates the emission, turbulent mixing, transport, transformation, and fate of trace gases and aerosols. Modules for photochemistry, aerosol chemistry, and climate-relevant feedback processes developed by a team of PNNL scientists have been included in the community WRF-chem model.
Contact Jerome Fast
Aerosol Modeling Testbed This tool provides atmospheric scientists interested with a way to test new aerosol treatments for regional and global climate models, over local to synoptic scales. The testbed reduces the time and expense required to fully evaluate such approaches in a three-dimensional mode. It extends extend the framework of a multiscale fully coupled meteorology-chemistry-aerosol model (WRF-chem) to be more modular so that it can be better used as a tool to develop and/or evaluate new aerosol treatments. Analysis tools will be developed for case study periods to streamline the time required to evaluate the performance of new aerosol treatments when compared with a wide range of meteorological, chemistry, and particulate measurements over local to regional spatial scales.
Contact Jerome Fast
MOSAIC The Model for Simulating Aerosol Interactions and Chemistry, or MOSAIC, is one of PNNL's contributions to the chemistry version of the Weather Research and Forecasting model, WRF-Chem. MOSAIC is the "jet engine" that powers the trace gas photochemistry and aerosol thermodynamics, chemistry, microphysics, and dynamics computations in WRF-Chem. MOSAIC is accessible in WRF-Chem and available in a stand-alone format.
Contact Rahul Zaveri.
Integrated assessment modeling - energy consumption, climate change impacts, impact of climate policies and technologies for greenhouse gas mitigation
Second Generation Model The Second Generation Model (SGM) is a computable general equilibrium model of the world with 13 regions. The SGM is used to project energy consumption and greenhouse gas emissions and to investigate the impact of climate change policies and technologies for emissions mitigation. The SGM incorporates all aspects of the economy with emphasis on demographics, resources, agriculture, energy supply and transformation, energy intense industries, household consumption, and government expenditure. The SGM is written in FORTRAN and runs on a PC in 5-year time steps from 1990 to 2050. Contact Hugh Pitcher. An operating version of the US SGM Model is now available. Click here for details.
Global Change Assessment Model (GCAM) GCAM is a partial equilibrium model of the world with 14 regions. GCAM operates in five-year time steps from 1990 to 2095 and is designed to examine long-term changes in the coupled energy, agriculture/land use, and climate system. GCAM includes a 151-region agriculture land-use module and a reduced form carbon cycle and climate module in addition to its incorporation of demographics, resources, energy production and consumption. The model has been used extensively in a number of assessment and modeling activities such as the Energy Modeling Forum (EMF) , the U.S. Climate Change Technology Program, and the U.S. Climate Change Science Program and IPCC assessment reports. GCAM is now freely available as a community model.
Contact Patrick Luckow or Leon Clarke.
EPIC The Environmental Policy Integrated Climate (EPIC) Model is a process-based agricultural systems model composed of simulation components for weather, hydrology, nutrient cycling, pesticide fate, tillage, crop growth, soil erosion, crop and soil management, and economics. Staff at PNNL have integrated new sub-models for soil carbon dynamics and nitrogen cycling.
Contact Cesar Izaurralde.