RDCEP

Center for Robust Decision Making on Climate and Energy Policy

Research

The AMPL-Source CIM-EARTH Framework (ASCEF) is a version of the CIM-EARTH framework written in AMPL.
The open-source pDSSAT framework uses massively parallel computing to simulate climate impacts to crops at very high spatial and temporal resolution.
Researchers: 
Joshua Elliott, Neil Best, Michael Glotter
The CE-VIA initiative includes production of open-source modeling frameworks for massively parallel simulations of a variety of popular crop, pasture, and forest productivity models including pDSSAT (a parallel version of the popular Decision Support System for Agrotechnology Transfer (DSSAT) which support dozens of crop and pasture models) and pCenW (a parallel version of the CenW model of forest and pasture productivity) and is currently being expanded to operate in a multi-model capacity using other independent VIA models such as the Agricultural Production Systems Simulator (APSIM).
Researchers: 
Ken Judd, Yongyang Cai, Thomas Lontzek
Extensions of the Nordhaus DICE model, including a continuous time representation of DICE, which we call DICE-CJL and a dynamic stochastic integrated model of climate and economy--DSICE.
Researchers: 
Liz Moyer, Michael Stein, Stefano Castruccio, David McInerney, Grant Wilder
climate emulation project aims to provide tools for integrated assessment modeling that enable a computationally efficient, user-friendly means of producing climate forecasts that reproduce the output of large general circulation models (GCMs).

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